National Healthcare Establishment & Workforce Statistics 2012 -2013

National Healthcare Establishment and Workforce Statistics (Hospital) 2012-2013

January 2015 ©Ministry of Health

Published by: The National Healthcare Statistics Initiative (NHSI) National Clinical Research Centre Ministry of Health 3rd Floor, MMA House 124, Jalan 53000 Malaysia

Tel. : (603) 40439300/400 Fax : (603) 40439500 E-mail : [email protected] Website : http://www.crc.gov.my/nhsi/

This report is copyrighted. Reproduction and dissemination of its contents- in part or in whole, for research, educational or non-commercial purposes is authorised without any prior written permission; provided the source is fully acknowledged. The suggested citation is ‘National Clinical Research Centre. National Healthcare Establishment & Workforce Statistics (Hospital) 2012-2013. Kuala Lumpur 2015’.

This report is also available electronically on the website of the National Healthcare Statistics Initiative at: http://www.crc.gov.my/nhsi/

Funding: The National Healthcare Statistics Initiative was funded by a grant from the Ministry of Health Malaysia (MRG Grant No. NMRR-09-842-4718)

Please note that there is potential for minor corrections of data in this report. Please check the online version at http://www.crc.gov.my/nhsi/ for any amendments. We welcome any suggestions or further enquiries. Please contact us via the channels stated above.

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CONTENTS

ACKNOWLEDGEMENTS iv ABOUT NATIONAL HEALTHCARE ESTABLISHMENT AND WORKFORCE SURVEY (NHEWS) v – HOSPITAL MEMBERS OF NHEWS (HOSPITAL) PROJECT TEAM vii MEMBERS OF NHEWS (HOSPITAL) EXPERT PANEL viii SUMMARY OF STUDY PROCESS ix STUDY METHODOLOGY x CONSORT DIAGRAM Consort Diagram NHEWS 2012 (Acute Curative ) xviii Consort Diagram NHEWS 2013 (Acute Curative Hospitals) xix SURVEY RESPONSE RATE xx ABBREVIATIONS & SYMBOLS xxi EXECUTIVE SUMMARY 1 CHAPTER 1 | HOSPITAL FACILITIES IN MALAYSIA 6 Table 1.1 Acute Curative Hospitals 8 Table 1.1 1 Categories of Acute Curative Hospitals 10 Table 1.2 Total Inpatient Beds 12 Table 1.2.1 Inpatient Beds in Specialist Hospitals 14 Table 1.2.2 Inpatient Beds in Non-specialist Hospitals 16 Table 1.2.3 Inpatient Beds in Maternity Centres 18 CHAPTER 2 | HOSPITAL MEDICAL DEVICE IN MALAYSIA 22 Table 2.1 Mammogram Machines 26 Table 2.2 Total Mammography and Screening Mammography Performed 28 Table 2.3 Estimated Screening Mammography Performed for Women Aged 40-74 Years, 30 2012 Table 2.4 Estimated Screening Mammography Performed for Women Aged 40-74 Years, 31 2013 CHAPTER 3 | HOSPITAL ACTIVITIES IN MALAYSIA 34 Table 3.1 Hospital Admissions, and Rate of Admissions per Day 36 Table 3.2 Average Length of Stay (ALOS), Bed Occupancy Rate (BOR) and Turnover 38 Interval (TOI) Table 3.3 Average Length of Stay (ALOS) by Categories of Acute Curative Hospitals 40 Table 3.4 Bed Occupancy Rate (BOR) by Categories of Acute Curative Hospitals 42 Table 3.5 Turnover Interval (TOI) by Categories of Acute Curative Hospitals 44 Table 3.6 Emergency Department Visits, General Outpatient Department Visits and 46 Specialist Clinic Visits Table 3.7 Public Specialist Clinic Visits (Medicine, General Surgery, Orthopaedics and 48 Obstetrics & Gynaecology) Table 3.8 Public Specialist Clinic Visits (Paediatrics, (ENT), 49 , and Oncology)

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CHAPTER 4 | HOSPITAL HEALTH WORKFORCE IN MALAYSIA 52 Table 4.1 Medical Practitioners 54 Table 4.1.1 Specialists and Medical Officers 56 Table 4.1.2 Internal Medicine Specialists 58 Table 4.1.3 Cardiologists, Respiratory Medicine Specialists and Nephrologists 60 Table 4.1.4 Endocrinologists, Neurologists and Rheumatologists 62 Table 4.1.5 Gastroenterologists, Hepatologists and Clinical Haematologists 64 Table 4.1.6 Geriatricians, Infectious Disease Specialists and Dermatologists 66 Table 4.1.7 General Surgeons 68 Table 4.1.8 Colorectal Surgeons, Hepatobiliary Surgeons and Urologists 70 Table 4.1.9 Vascular Surgeons, Cardiothoracic Surgeons and Neurosurgeons 72 Table 4.1.10 Breast & Endocrine Surgeons and Breast Surgeons 74 Table 4.1.11 Plastic & Reconstructive Surgeons and Paediatric Surgeons 76 Table 4.1.12 Obstetricians & Gynaecologists and Paediatricians 78 Table 4.1.13 Emergency Medicine Specialists and Anaesthesiologists 80 Table 4.1.14 Ophthalmologists and Otorhinolaryngologists 82 Table 4.1.15 Orthopaedic Surgeons, Sports Medicine Specialists and Rehabilitation 84 Medicine Specialists Table 4.1.16 Psychiatrists and Oncologists 86 Table 4.1.17 Radiologists and Nuclear Medicine Specialists 88 Table 4.1.18 Pathologists and Forensic Pathologists 90 Table 4.2 Staff Nurses and Staff Nurses with Post-Basic Training 92 Table 4.3 Assistant Medical Officers (AMO) and Assistant Medical Officers with Post- 94 Basic Training Table 4.4 Radiographers and Radiographers with Post-Basic Training in Mammography / 96 Computer Tomography (CT) Scan APPENDICES APPENDIX 1 | DEFINITION OF NHEWS (HOSPITAL) TERMINOLOGY 100 APPENDIX 2 | PARTICIPANTS OF NHEWS (HOSPITAL) Participants of NHEWS (Hospital) 2012 105 Hospital Sector: Public/ Ministry Of Health 105 Hospital Sector: Public/ Ministry Of Health/Psychiatric Institution 107 Hospital Sector: Public/ University 108 Hospital Sector: Public/ Ministry of Defence 108 Hospital Sector: Private 109 Participants of NHEWS (Hospital) 2013 112 Hospital Sector: Public/ Ministry Of Health 112 Hospital Sector: Public/ Ministry Of Health/Psychiatric Institution 114 Hospital Sector: Public/ University 114 Hospital Sector: Public/ Ministry of Defence 114 Hospital Sector: Private 115

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APPENDIX 3 | MALAYSIAN POPULATION, 2010-2013 119 Table A3.1 Total Population in Malaysia by State, 2010-2013 119 Table A3.2 Female Population in Malaysia by State 2010, 2011, 2013 119 Table A3.3 Female Population (aged 50-69 years old) in Malaysia by State, 2012-2013 120 Table A3.4 Female Population (aged 40-74 years old) in Malaysia by State, 2012-2013 120 Table A3.5 Female Population (aged 40-44 years old) in Malaysia by State, 2012-2013 121 Table A3.6 Female Population (aged 45-49 years old) in Malaysia by State, 2012-2013 121 Table A3.7 Female Population (aged 50-54 years old) in Malaysia by State, 2012-2013 122 Table A3.8 Female Population (aged 55-59 years old) in Malaysia by State, 2012-2013 122 Table A3.9 Female Population (aged 60-64 years old) in Malaysia by State, 2012-2013 123 Table A3.10 Female Population (aged 65-69 years old) in Malaysia by State, 2012-2013 123 Table A3.11 Female Population (aged 70-74 years old) in Malaysia by State, 2012-2013 124 Table A3.12 Paediatric (0-14 years old) Population in Malaysia by State, 2010, 2011, 2013 124 Table A3.13 Geriatric (60 years old and above) Population in Malaysia by State, 2010, 125 2011, 2013 APPENDIX 4 | DATA QUALITY STATEMENT 126 APPENDIX 5 | SURVEY PROFILE & RESPONSE RATE ANALYSIS 130 Table A5.1 Survey Profile of NHEWS (Hospital) 2012 & 2013: Public Hospitals 130 Table A5.2 Survey Profile of NHEWS (Hospital) 2012 & 2013: Private Hospitals 131 Table A5.3 Response Rate of NHEWS (Hospital) 2011, 2012 & 2013 132

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ACKNOWLEDGEMENTS

The National Healthcare Statistics Initiative team would like to thank the Director General of Health Malaysia for his continuous support towards this survey and permission to publish the report.

Also, our sincere appreciation to the following for their participation, assistance, support and contributions: • Deputy Director General of Health (Research and Technical Support), MOH

• Deputy Director General of Health (Medical), MOH

• Deputy Director General of Health (Public Health), MOH

• Director, National Clinical Research Centre (NCRC), National Institutes of Health (NIH)

• Director, Medical Development Division, MOH

• Director, Medical Practice Division, MOH

• Health Informatics Centre, MOH

• Private Medical Practice Control Section (National level)

• Private Medical Practice Control Unit (State level)

• The Association of Private Hospitals of Malaysia (APHM)

• All participating Ministry of Health, private, university and Ministry of Defence hospitals which provided or allowed access to their establishment and workforce data.

• KPJ Healthcare Berhad

• Pantai Holdings Berhad

• Columbia Asia Sdn Bhd

• Ramsay Sime Darby Healthcare Group

• Malaysian Medical Council

• Training Division, MOH

• Members of the NHEWS- Hospital Expert Panel

• All medical doctors and support personnel who participated in the NHEWS- Hospital

• All those who have supported or contributed to the success of the NHEWS- Hospital and publication of this report

Thank you.

National Healthcare Statistics Initiative (NHSI) Ministry of Health, Malaysia

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ABOUT NATIONAL HEALTHCARE ESTABLISHMENTS AND WORKFORCE STATISTICS (HOSPITAL)

Background National Healthcare Establishment and Workforce Statistics (NHEWS) Hospital is an initiative that gathers information on hospitals in the country concerning their services- with emphasis on specialised clinical services, facilities, medical devices, and health workforce. The NHEWS survey covers all acute curative hospitals and related specialty services for both public and private sectors. (The definition of acute curative care is provided in Appendix 1).

However, unlike the NHEWS (Hospital) surveys of previous years (2008/09, 2010, 2011), the current survey reports only acute curative hospitals without distinguishing the specialty services, except when reporting the public hospital specialist clinic visits. Further, only one medical device is reported here compared to several devices in the previous reports.

Besides that, the hospital population frame also has differed between the current and the past NHEWS (Hospital) surveys. Revision of inclusion criteria has led to the Ministry of Defence (MOD) hospitals being included in the 2012-2013 survey compared to the previous surveys.

Objectives

General Objective To document the availability and distribution of hospitals/facilities, services, medical devices, and health workforce in the country.

Specific Objectives • To estimate the number and density (number per population) of hospitals/facilities, services, and health workforce in Malaysia by geographical areas.

• To map out trends in the number and density of hospitals/facilities, services, and health workforce through consistent and reliable data collection.

Structure of Report This fourth NHEWS (Hospital) report provides overall statistics on the acute curative hospitals in Malaysia during 2012-2013. It consists of four chapters: • Chapter 1: Hospital Facilities • Chapter 2: Hospital Medical Device (Mammogram Machine) • Chapter 3: Hospital Activities • Chapter 4: Hospital Health Workforce

Data prepared for this report has been reviewed by an expert panel of hospital services. This review process is identical to that of the previous NHEWS (Hospital) reports. Previously, each chapter within the report was written by an expert panel of the respective service. Meanwhile for the current report, all chapters were written by members of the NHEWS (Hospital) project team.

Data will first feature the national picture, and then followed by a drill-down report of sectors within states. We have also included data from the 2010/2011 survey in this report; to serve in presenting patterns/ trends within the datasets across multiple time points, wherever the data is available.

v National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

However, data from the 2010/2011 survey that appears in this report may be dissimilar to data found in the NHEWS (Hospital) 2010 and NHEWS (Hospital) 2011 reports. Several reasons contribute to this: • The data may have been corrected following information that we received from the data source providers. • Revision of “acute curative care” definition for this current report has led us to reclassify two hospitals that were labelled as “chronic curative care” in the 2011 report as “acute curative care” in the 2012-2013 report. These two hospitals were included in all re- analyses of the 2011 survey data presented in this report. We did so in order to minimise disharmony among these datasets, and therefore facilitate the three-year comparison. • Rerun of non-response analysis of the 2011 survey data to standardise the statistical method to that of the NHEWS (Hospital) 2012-2013. • Revision of calculation method of mean average length of stay (ALOS), mean bed occupancy rate (BOR), and mean turnover interval (TOI). Please refer to study methodology for further details (page xi). • Referring specifically to the doctor workforce data: - Continuing and periodic data cleaning based on updated sources of data verification e.g. from the MMC, NSR, and Medical Development Division MOH. - The current NHEWS (Hospital) 2012-2013 features only acute curative services, whereas the previous NHEWS (Hospital) featured selected specialty services, which took into account long term care hospitals, therefore included the workforce within these hospitals as well for the count of doctor workforce. Thus in this report we present current (2013) and past (2010 & 2011) workforce data that have been standardised to include only doctors working in acute curative hospitals.

A specific example pertaining to this is the psychiatrist workforce. For the NHEWS (Hospital) 2010 & 2011 survey, data included psychiatrists who were working in the psychiatric institutions. However in this report we only highlight the 2010 & 2011 data on psychiatrists working in acute curative hospitals.

The scenario above would have applied to the rehabilitation medicine specialist workforce as well, except that in 2010 & 2011, there were no rehabilitation medicine specialists working in the long term care hospitals being surveyed.

The NHEWS (Hospital) data was collected based on the needs of our stakeholders. Other data users are advised that the inclusion and exclusion criteria, and data definitions used in this report may differ from other sources. Any interpretation or comparison should be made with caution. The Health Informatics Centre, Ministry of Health Malaysia is the official source of health data in the country. Harmonisation of health data for the purpose of international comparisons should preferably be obtained from this official source.

vi National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

MEMBERS OF NHEWS (HOSPITAL) PROJECT TEAM

PRINCIPAL INVESTIGATOR DATUK DR. JEYAINDRAN TAN SRI SINNADURAI

DR. SHEAMINI SIVASAMPU PRINCIPAL CO-INVESTIGATORS DR. GOH PIK PIN

DATO’ DR. NOORAINI BABA

CO-INVESTIGATORS DR. MD KHADZIR SHEIKH AHMAD

MR. ZAMANE ABDUL RAHMAN

DR. LAILI MURNI MOKHTAR PROJECT LIASON OFFICERS DR. AFIDAH ALI

DR. YEO SIEW LIAN

PROJECT MANAGERS DR. FOO CHEE YOONG

DR. AIMI NADIAH JAMEL

MRS. FATIHAH MAHMUD

SURVEY COORDINATORS MS. KAMILAH DAHIAN

MS. KASTURI MANOHARAN

ASSISTANT SURVEY COORDINATOR MS. SITI HASLINA OTHMAN

DATA ANALYST DR. FOO CHEE YOONG

DATABASE DEVELOPER/ ALTUS SOLUTIONS SDN. BHD. ADMINISTRATOR

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MEMBERS OF THE NHEWS (HOSPITAL) EXPERT PANEL

EXPERT PANEL INSTITUTION

Datin Dr. Nor Akma Yusuf Medical Development Division, Ministry of Health

Dr. Laili Murni Mokhtar Medical Development Division, Ministry of Health

Dr. Khalid Ibrahim Hospital Sungai Buloh

Matron Rosena Abd Ghani Nursing Division, Ministry of Health

Department of Diagnostic Imaging, Mrs. Jasintha Sangarapillai Hospital Kuala Lumpur

Ms. Lim Jew Heang Medical Record Department, Hospital Selayang

Medical Assistant Board, Medical Practice Division, Tuan Haji Wan Azmi Mohd Ministry of Health

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SUMMARY OF STUDY PROCESS

Survey Population Framework Development

Survey Structure Development

Case Report Form (CRF) Development & Pilot Testing Q

CRF Distribution U E Data Collection & Data Entry R I Data Processing (Cleaning, Verification, Exploration) E

Data Analysis & Estimation Procedures S

Finalising of Dataset & Locking

Report Writing & Publication

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STUDY METHODOLOGY

Survey Population Framework Development To determine the total hospital and related healthcare establishment population, we first matched the records of hospitals in the existing National Healthcare Establishment and Workforce Survey (NHEWS) Hospital database against other independent data sources : the Private Medical Practice Control Division, MOH (for private hospitals), and the Medical Development Division, MOH (for public hospitals). Both the matched and unmatched records were then reviewed. Verification was conducted by contacting each unmatched site to confirm their operational status and establishment details as of 31st December 2012 and 2013. These processes were performed for both the private and the public hospital lists. All verified changes were updated to our database. (Figure 1)

2012 & 2013 2012 & 2013 2011 Public Private NHEWS Hospital List Hospital List Hospital (MDD) (CKAPS) Database

Record Matching

Matched Doubtful Unmatched Records Records Records

Unmatched Record Verified with details e.g. Accepted respective Unmatched Phone establishment Hospital Name number, or authorities Address

Verified with Records Verified with MDD/CKAPS updated the unmatched and/or the hospitals by unmatched phone Hospitals

Details updated & accepted into Records NHEWS updated database

Records Records accepted rejected

Figure 1 Process of Determining the Total Hospital & Maternity Centre Population

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The NHEWS (Hospital) 2012-2013 survey collected data from all related healthcare establishments in Malaysia. Inclusion and exclusion criteria for the survey are as shown below:

Table 1: Inclusion and Exclusion Criteria of NHEWS (Hospital) 2012-2013

Inclusion criteria Exclusion criteria All general and specialised hospitals • Hospital units of institution, such as prison providing acute curative care1 from both hospitals. sectors: • Non-governmental Organisation (NGO) • Public sector hospitals. - MOH • Long term care hospitals e.g. rehabilitation - University and palliative care centres, nursing homes, - Ministry of Defence (MOD) leprosy centres and psychiatric institutions. • Private sector • Maternity homes. • Hospitals that were non-operational in 2012 or 2013 (where applicable). 1 Acute curative care comprises health care contacts during which the principal intent is to relieve symptoms of illness or injury, to reduce the severity of an illness or injury, or to protect against exacerbation and/or complication of an illness that could threaten life or normal function. Other functions of care such as rehabilitative care, long-term care and palliative care are excluded. (OECD Health Statistics 2014)

Case Report Form (CRF) Development and Pilot Testing Both the project team and expert panel of NHEWS (Hospital) developed the CRFs.

The CRFs were made available in printed and electronic versions; written in English (with Malay translation). Survey variables were grouped by sections: establishment details, facilities, activities and services, medical device, and workforce.

Definition of NHEWS (Hospital) terminology was provided alongside each of the terms used in the CRFs. A list of such definition may be found in Appendix 1. Radio buttons and/or numeric textboxes with pre-defined spaces were provided for each question in both versions ofCRF. Where applicable, the unit (e.g. in days, %) of variables in question would be specified. To facilitate data submission for the doctor (specialist) workforce, a list of specialties and their corresponding code was provided with the printed CRFs, and respondents were required to fill in the code accordingly. Meanwhile for the electronic CRFs (eCRF), a similar set of specialties was listed in a drop-down menu from which to choose, and the code would be auto-generated by the system.

The eCRFs had unique features of automated validation rules, auto-calculation, and historical data view. Validation rules would apply automatically at the time of data entry; violating the rules would result in failure to submit the data and consequently prevent from proceeding to the next section(s). These rules were set after ascertaining their distribution and characteristics from previous NHEWS (Hospital) data. Auto-calculation would apply to certain variables (marked “to be auto-calculated”) and required no input from the respondents. Historical data view was provided to assist in consistency check between data for the current survey with data submitted in the past years of NHEWS (Hospital) survey. Such measures would facilitate immediate action upon inconsistent pattern of data.

Data verification procedures were implemented for both versions of CRF. The first part of the CRF would identify the contact person of an establishment with whom the NHEWS (Hospital) team would correspond should any queries regarding the submitted data arise. In addition, verification

xi National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 by the highest authority (i.e. Director or CEO) of an establishment was a pre-requisite for data submission. For printed CRFs, signature of the Director or CEO was required at the end of the CRF. For eCRFs, the Director or CEO was required to log in through a different username and password, and then review the data that has been entered for his/her hospital prior to verifying it for submission to us (by clicking on a “verify” button).

The CRFs were pilot-tested with a convenient sample of public and private hospitals. Feedbacks from this pilot test informed revisions and improvements of the CRFs prior to its use in the actual survey.

CRF Distribution A survey pack containing the following documents were distributed via express mail to all target hospitals: • Survey instruction manual • An endorsement letter from the State Health Directors- for the public hospitals, or from the Association of Private Hospital Malaysia (APHM)- for the private hospitals. • Username and password access details for eCRF • A copy of the NHEWS (Hospital) 2011 report

Within three days after the postage, the first follow-up call was made to each hospital to confirm receipt of the survey pack, and to establish the first point of contact. Subsequent follow-up calls were made after two weeks of the initial call, to serve as reminders and/or monitoring of progress. Question and doubts concerning the survey were answered by trained NHEWS (Hospital) team members. Numerous follow-up calls were made until the response or non-response status of each hospital was confirmed. The list of hospitals that participated in this survey is available in Appendix 2.

Data Collection Respondents had the option between two modes of data collection and submission: 1. Paper data submission via hard copy CRF (printed CRF) 2. Electronic data submission via NHSI web application (eCRF)

Data collection for the workforce section, particularly for the doctor workforce involved relevant details (e.g. qualification and specialty) of each doctor working in the hospital. Datasets containing the list of doctors for each hospital, which was obtained from its participation in the past NHEWS (Hospital) surveys, were pre-uploaded to the eCRFs of 2013. This aimed at minimising the need for manual data entry of the current survey. In comparison, data obtained for the remaining workforce category involved only the total count of the workforce. Data Entry Data from paper submissions were screened manually and reviewed for their completeness and logical consistency before data entry into the NHEWS (Hospital) database by trained members. Data submissions through electronic CRFs were entered directly into the NHEWS (Hospital) database by the data providers. Quality of data entry was inspected and maintained by several built-in features such as a compulsory data checking, consistency checks, auto-calculations and auto-default data from the previous NHEWS (Hospital) surveys. Activities performed in the database were recorded by an audit trail system.

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Data Processing Data cleaning was performed in parallel with data entry and based on the results of edit checks. An edit check is a checking procedure for tracing doubtful data being entered. The editing was performed by NHEWS (Hospital) team members who are familiar with hospital settings. Any queries were then attended to by contacting the data entry personnel or any authorised representative at the participant’s site to seek further clarification or verification.

Exploratory data analysis was performed before database locking to ensure that the data was acceptable for analysis. Data duplication, range and consistency checks were performed to detect outliers and data that deviated. In cases where the data were not verifiable with the source(s), cross checks were done against other sources such as the Health Information Management System Reports, Malaysian Medical Council (MMC) Doctor Database, professional societies, National Specialist Register (NSR) and Registry Central Surveys.

Statistical and Estimation Procedures NHEWS (Hospital) uses the census of all hospitals that are listed in the population frame (as provided by the MDD and CKAPS of MOH) to derive its estimates of the total facility, devices, activity and workforce of related healthcare services within the country. As participation is voluntary, non-response was anticipated and two sources of non-response were accounted for:

Unit non-response – occurs as a result of the healthcare establishment not responding to the survey. Item non-response – occurs as some respondents return partially completed survey forms.

A survey unit will be considered as non-response if the answers to key questions were missing.

Imputation techniques were used to account for item non-response, and weighting was used for unit non-response.

Imputation: Estimating Item Non-Response The imputation process consisted of two stages. First, the missing values were imputed with reasonable assumptions (logical/ conditional imputation). For example, hospitals without any mammogram machines will have zero mammography performed.

The remaining missing values after the first step was further assessed for its suitability of other imputation techniques. Deterministic regression imputation was used in cases where appropriate predictor(s) was/were available. One fundamental assumption of our missing data imputation is that missing data occured at random i.e. missing completely at random (MCAR) or missing at random (MAR).

Weighting: Estimating Unit Non-Response Each survey unit was assigned a weight in order to compensate the missing value of unit non- response and to estimate each variable for the whole population. The weight was calculated by dividing the number of hospitals in the population to the number of respondent hospitals in a stratified manner. This procedure also assumes similar characteristics of both respondents and non-respondents by each stratum.

To achieve this, multivariable response propensity model was used. We regressed hospital characteristics (X) that are known for the whole population e.g. size and state/region; to the response status i.e. the outcome (Y). We then computed the propensity score using the model and stratified all hospitals into five strata. Through this method, hospitals with similar characteristics will be grouped within a stratum, and the weight of each of the five stratum will then be calculated as per above description.

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We estimated the sum of each variable for each state and for the whole country: we first modelled the response propensity for each state that has less than full response using the method described above, to adjust for the non-respondents for each state. Then we obtained the estimates for the whole country for each variable by summing all states’ estimates. Some variables are reported as means, and the method for estimating these is described under the heading “list of formula” below.

An estimate of the sum of variables within Facilities/ Device/ Activities/ Workforce chapter (T) is represented as:

T = ∑ WiTi

Where: th Ti is the number of facilities/devices/activities/workforce available in the i facility in the year,

th Wi is the calculated weight of the i facility

Limitation of the Estimating Procedures Standard error is not a suitable mean to gauge variability in our setting since the respondents are not from a random sample.

The fundamental purpose of imputation and weighting is to adjust for bias in the responding units and produce less biased estimates. However, these procedures can only account for and adjust to known population characteristics that impact the response propensity and survey estimates. Should unknown characteristics exist (and there is no means to consider them), adjustment may be ineffective.

Furthermore, an assumption of similarity between respondents and non-respondents within the same propensity strata must be made when imputing for missing data and weighting for non- respondents. Therefore, a certain degree of bias may exist should the assumption not hold i.e. if the non-respondents were different from the respondents. The level of bias in the estimates will not be quantifiable without a further study of the non-respondents.

List of Formula Facilities, devices, activities and workforce of related healthcare establishment and services are expressed as absolute count, and density by state, sector, and year. The absolute count refers to the count within a year’s duration for each survey year i.e. 2012 and 2013.

Calculations of density and calculations pertinent to each survey chapter are as follows: (The Malaysian population statistics used for density calculations may be found in Appendix 3.)

Hospital Facilities T i) Number of hospitals per 100,000 population = × 100,000 P

T ii) Number of beds per 1,000 population = × 1,000 P

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Where: T is an estimate of the total quantity (sum) of the variable available in the country in the year under consideration.

P is the midyear total population of Malaysia or the relevant geographic region where the survey was conducted, in the year under consideration.

Hospital Medical Device (Mammogram Machine) T i) Number of mammogram machines per million = × 1,000,000 (women aged 50-69 years) population Pw1

T ii) Number of mammogram machines per million = × 1,000,000 (women aged 40-74 years) population Pw2

Number of screening mammography performed iii) Percentage of screening mammography = × 100 Number of total mammography performed

Where: T is an estimate of the total quantity (sum) of the variable available in the country in the year under consideration.

Pw1 is the midyear population of women aged 50-69 years of Malaysia or the relevant geographic region where the survey was conducted, in the year under consideration.

Pw2 is the midyear population of women aged 40-74 years of Malaysia or the relevant geographic region where the survey was conducted, in the year under consideration.

iv) Calculation for estimated number and density of screening mammography by age group of female population (40-74 years) will be described in Chapter 2, alongside the results.

Hospital Activities T i) Number of admissions per 1,000 population = × 1,000 P

ii) Rate of admissions per day = T 365 days

iii) Number of emergency department visits/ T general outpatient department visits/ = × 1,000 specialist clinic visits per 1,000 population P

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Where: T is an estimate of the total quantity (sum) of the variable available in the country in the year under consideration.

P is the midyear total population of Malaysia or the relevant geographic region where the survey was conducted, in the year under consideration.

iv) Mean average length of stay (ALOS), mean bed occupancy rate (BOR), and mean turnover interval (TOI): • Calculation for these means has been revised from calculation of previous reports. • Previously they were calculated by averaging the sum of each hospital statistic within a state to the total number of hospitals in the state. • In contrast, for current calculation, we first pool the values of variables involved in the calculation of ALOS, BOR, and TOI for all hospitals within each state, and then run the calculation i.e. taking the state as a unit of analysis. Similarly, in calculating the national mean, the country is taken as a unit of analysis. • The two methods of calculation is illustrated below, with the example of mean ALOS calculation:

Previous calculation:

Sum of ALOS for all hospitals within a state Mean ALOS for each state = Total number of hospitals in the state

Sum of ALOS for all states Mean ALOS for the country = Total number of states in the country

Where: Total length of stay of discharged patients for a given period (TLOS) ALOS = Total number of discharged patients in the same period (TD)

Current calculation:

∑ (TLOSi ×Wi) within a state Mean ALOS for each state = ∑ (TDi ×Wi) within the state

∑ (TLOSi ×Wi) within the country Mean ALOS for the country = ∑ (TDi ×Wi) within the country

Where: th TLOSi is the TLOS for the i facility in the year under consideration.

th TDi is the total number of discharged patients for the i facility in the year under consideration.

W i is the calculated weight of the ith facility

xvi National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Hospital Workforce i) Number of medical doctors/ staff nurses/ T assistant medical officers/ radiographers = × 100,000 per 100,000 population P

Where: T is an estimate of the total quantity (sum) of the variable available in the country in the year under consideration.

P is the midyear total population of Malaysia or the relevant geographic region where the survey was conducted, in the year under consideration.

Data-Set Finalisation and Locking All processed data were reviewed by the project team and all members of the expert panel to ensure validity and accuracy before the finalisation. The decision to lock the data set was made by the project team only after the finalisation. No further amendments to the data set were allowed except for rectifying errors that are supported by valid evidence as determined by the project team and/or expert panel. All amendments of data set, if any, must be approved by the co-investigator(s).

Data Security The NHEWS (Hospital) 2012-2013 data collection was authorised under the Private Healthcare Facilities and Services Act 1998. However, participation was voluntary. Data collected in this NHEWS (Hospital) survey is regulated by the Personal Data Protection Act 2010 where applicable. All information collected is held in the strictest confidence and according to legal and research ethics guidelines.

Data Quality A full description of NHEWS (Hospital) 2012-2013 data quality may be found in Appendix 4.

xvii National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Setapak HOSPITAL

, n = 4 ,

6

entre, n=1 entre,

C

Rehabilitasi, Cheras Rehabilitasi,

Rehabilitasi, Cheras Rehabilitasi,

g)

Klang Specialist Hospital Hospital Specialist Klang

, n= 7 , term care, n = care, term everly Wilshire Medical Centre Medical Wilshire everly Hospital Sentosa Hospital Hospital Permai Hospital Hospital Bahagia Ulu Kinta Ulu Bahagia Hospital Padang Mesra Bukit Hospital Rajah Charles Brooke Memorial Memorial Brooke Charles Rajah Hospital Hospital Sungai Long Sungai Hospital Hospital Eye Specialist Optimax (Penan Centre HSC Specialists Cheras KPJ Ara Centre Medical Darby Sime Damansara Hospital Gombak* Orang Asli Hospital B Hospital Asia Columbia

Psychiatric institutions Psychiatric

Hospital Tuaran Hospital Leprosy, n = 1 = n Leprosy,

i. i.

hospitals in 2012, n = 9 2012, in hospitals

ii. iii.

iv. a. b. c. d. e. f. g. Private a. b. , n= 2 MOH , b. Long - Zero beds, n = 1 beds, Zero a. a.

n = 8

i. Hospital i. Rehabilitation c. Excluded, n = 7 Excluded, 1. 2. 2. New New 1. ,

MOH n = 139 n = 132 Included

n = 4 n = 4 MOD Public n = 146 Included

in Malaysia in

hospitals xviii

n = 353 n = 362 n = 345 scope

- Analysis 3

n = 3 n = Included University Total in number of hospitals of number

Number of hospitals (operational) Number hospitals of

Total Total 2013 -

206 Private Private n = 207 n = 207 n = Included

RCE STATISTICS 2012 RCE STATISTICS under the the under

d

previously previously

n= 5

2013, - Shah Alam

CONSORT DIAGRAM NHEWS 2012 (ACUTE CURATIVE HOSPITAL S ) Cheras Specialists Centre Specialists Cheras

n = 1 term care, n = 1 care, term

Columbia Asia Extended Care Care Extended Asia Columbia Hospital

re () (Penang) Centre Medical Tropicana Bhd. Sdn. Selasih Specialist Centre Sdn. Bhd. Sdn. Centre Specialist Selasih TMC Women's Specialist (Kuantan) (Kuantan) TMC Women's Specialist Bhd. Sdn. Imran Ear, Nose & Throat Specialist Specialist Nose & Throat Ear, Imran Hospital Centre Maternity Ng Specialist Scudai Pakar Hospital Kencana Maternity Centre Sdn Bh Centre Kencana Maternity HSC Optimax Eye Specialist Hospital Hospital Eye Specialist Optimax (Penang) a.

Long - origines Welfare Department). Effective since 2012, 2012, since Effective Department). Welfare origines

CONSORT DIAGRAM NHEWS 2012 (ACUTE CURATIVE HOSPITALS) HOSPITALS) CURATIVE NHEWS 2012 (ACUTE DIAGRAM CONSORT d. b. c. a. a. b. d. e. c. Ab

*Hospital Orang Asli Gombak was Asli Orang *Hospital OrangAsli Kebajikan Jabatan of administration ( the hospital is currently under the administration of of administration the under currently is hospital the MOH. inpatient providing not hospitals: as functioning **Not services Establishments that have ceased to have ceased to that Establishments n = 4 2012, since operate functioning were not that Establishments 2012 in hospitals** as Excluded, 1. NATIONAL HEALTHCARENATIONAL ESTABLISHMENT & WORKFO

xviii National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

entre HOSPITAL ,

, n = 4 , edical C edical

Rehabilitasi, Cheras Rehabilitasi,

, n= 5 , term care, n = 6 care, term KPJ Pasir Gudang Specialist Gudang Specialist KPJ Pasir Hospital Borneo Medical Centre Medical Borneo Park City Medical Centre Medical City Park Hospital Angkatan Tentera Tentera Angkatan Hospital Kinabalu Kota Wilayah Carl Corynton M Corynton Carl Centre Doctors Global National Cancer Institute Cancer National Sentosa Hospital pital Permai Hos pital Rajah Charles Brooke Memorial Memorial Brooke Charles Rajah Hospital Hospital Mesra Bukit Padang Mesra Bukit Hospital Kinta Ulu Bahagia Hospital

Hospital Tuaran Hospital Psychiatric institutions Psychiatric

Leprosy, n = 1 = n Leprosy,

hospitals in 2013, n= 7 2013, in hospitals

, n= 1 MOH , MOD, n= 1 i. i.

ii. iii.

Zero beds, n = 1 beds, Zero iv. d. e.

a.

Private a. b. c. a. Long - b. a.

a.

n=1 C entre, Rehabilitation c. Hospital i. 2. New New 1. n = 8 , n = 7 Excluded, 1. 2. 3.

MOH n = 140 n = 133 Included

n = 5 MOD Public n = 148 n = 5

Included

in Malaysia in

ho spitals xix

hospitals n = 360 n = 351 n = 359

scope

- Analysis

3

n = 3 n = University Total in Included number of of number

Number of hospitals (operational) Number hospitals of

Total Total

2013 -

210 Private Private n = 211 n = 211 n = Included

CONSORT DIAGRAM NHEWS 2013 (ACUTE CURATIVE HOSPITALS)

ent that has ceased to operate operate hasceasedto that ent n = 1

term care, n = 1 care, term -

Columbia Asia Extended Care Hospital Hospital Care Extended Asia Columbia Shah Alam CONSORT DIAGRAM NHEWS 2013 (ACUTE CURATIVE HOSPITALS) CURATIVE NHEWS 2013 (ACUTE DIAGRAM CONSORT

a. Penang Specialist Maternity Centre Maternity PenangSpecialist a. in 2013, n = 1 2013, in Establishm Excluded, Long 1. a. NATIONAL HEALTHCARENATIONAL ESTABLISHMENT & WORKFORCE 2012 STATISTICS

xix National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

SURVEY RESPONSE RATE

We recorded an improvement in response rate for this round of NHEWS (Hospital) survey. There was a 13% increase in response rate of the maternity centres for the 2012-2013 survey (63.8%) compared with that of 2011 survey (50.8%). Private specialist hospitals also responded well; improving their response rate by 12.6% to 83.6% compared with 71% in 2011. In addition, most large chain private hospitals responded favourably, with a response rate of more than 90%.

A detailed analysis of the survey’s response rate by state and sector may be found in Table A5.2 of Appendix 5.

Factors leading to an improved response rate include: • Strengthened networking between the NHEWS (Hospital) project team and relevant bodies/establishments of the private health sector. • Maturity in experience of the NHEWS (Hospital) project team in obtaining response from the survey participants. • Brief CRFs compared to those of previous NHEWS (Hospital) surveys.

xx National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

ABBREVIATIONS ALOS Average Length of Stay AMO Assistant Medical Officer APHM Association of Private Hospitals Malaysia BOR Bed Occupancy Rate CEO Chief Executive Officer CKAPS Cawangan Kawalan Amalan Perubatan Swasta (Private Medical Practice Control Section) CPG Clinical Practice Guideline CRF Case Report Form CT Computer Tomography DOS Department of Statistics eCRF Electronic Case Report Form ED Emergency Department ENT Ear, Nose & Throat MDD Medical Development Division MMA Malaysian Medical Association MMC Malaysian Medical Council MOD Ministry of Defence MOH Ministry of Health MRG Malaysian Research Grant NHEWS National Healthcare Establishment and Workforce Statistics NHMS National Health and Morbidity Survey NHSI National Healthcare Statistics Initiative NIH National Institute of Health NMRR National Medical Research Register NSR National Specialist Register OECD Organisation For Economic Co-operation and Development OPD Outpatient Department PMP Per Million Population QA Quality Assurance TOI Turn Over Interval WHO World Health Organization WP Wilayah Persekutuan WPKL Wilayah Persekutuan Kuala Lumpur

SYMBOLS na not applicable - not available

xxi This page intentionally left blank National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

EXECUTIVE SUMMARY

The NHEWS (Hospital) survey is a provider-based survey, and is essentially a census on relevant hospital services in Malaysia. In this fourth NHEWS (Hospital) report, we feature the country’s hospital statistics for two consecutive years (2012-2013). The statistics report on hospital facilities, activities, selected medical device and health workforce in the delivery of acute curative care services. Besides that, we also aim to highlight patterns / trends in the hospital services. Therefore where applicable, we have also displayed data for the NHEWS (Hospital) 2010/2011 survey in this report for the purpose of comparison.

Chapter 1: Hospital Facilities • In 2012, there were 345 acute curative hospitals in the country; 40.3% (139/345) were public hospitals, while 59.7% (206/345) were private hospitals. • In 2013, there were 6 additions to the acute curative hospitals count; 2 were public hospitals, and 4 were private hospitals. • However for both years, proportion of total inpatient bed capacity was higher in the public hospitals (~74%: 37,8575/ 51,457 in 2012, and 38,641/ 52,436 in 2013); compared with the private hospitals (~26%: 13,600/ 51,457 in 2012, and 13,795/ 52,436 in 2013). • The number of total inpatient beds increased by 1.9% (979/ 52,436) from 2012 to 2013 compared with an increase of 1.1% (543/ 51,457) from 2011 to 2012. However the bed- to-population ratio remained unchanged (1.76 per 1,000 population) throughout 2011- 2013; indicating that the growth in bed capacity was just sufficient to sustain population growth. • Out of the total inpatient beds, the proportion of functioning inpatient beds grew larger over time: 93.3% (47,521/ 50,914) in 2011, 96.2% (49,485/ 51,457) in 2012, and 96.8% (50,766/52,436) in 2013. • Functioning inpatient beds showed a promising pattern in which the bed-to-population ratio kept increasing over the three years (1.64 per 100,000 population in 2011, 1.69 per 100,000 population in 2012, and 1.71 per 100,000 population in 2013). • The major contributor of the growing number of hospitals and beds was from the hospital category of specialist hospitals compared with the other two categories (non-specialist hospitals and maternity centres).

Chapter 2: Hospital Medical Device (Mammogram Machine) • There were 146 mammogram machines in 2012, and 150 in 2013. • About two thirds of hospital mammogram machines in the country were found in the private hospitals: 63.7% (93/ 146) in 2012, and 65.3% (98/ 150) in 2013. • Both years saw a density of about 72 mammogram machines per million population of women aged 50-69 years in the country. In comparison, developed countries observed a higher ratio e.g 144 in Singapore, 226 in Japan, and 228 in New Zealand (reference year: 2010). • A total of 175,597 and 202,074 mammographies were performed in 2012 and 2013 respectively- an increase of 26,477 (15%) within the time frame. • The private hospitals performed almost four times more mammographies than the public hospitals (137,832 versus 37,765 in 2012, and 161,302 versus 40,772 in 2013). • Majority of mammographies performed in the private hospitals were screening in nature: 75% (103,451/ 137,832) in 2012, and 77% (123,624/ 161,302) in 2013. • Meanwhile, screening mammographies comprised of a minority of the total number of mammographies performed in the public hospitals: 20% (7,463/ 37,765) in 2012, and 22% (9,109/ 40,772) in 2013.

1 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Chapter 3: Hospital Activities Inpatient Activities • The year 2012 and 2013 each observed approximately 3.4-3.5 million hospital admissions per year; demonstrating an increase of 2.3% (83,029/ 3,542,997) within the two-year period. • Admission-to-population ratio also grew (1.1%) from 2012 to 2013. • For both years, the public hospitals saw a higher load of admissions (~71%: 2,454,698/ 3,459,968 in 2012, and 2,507,151/ 3,542,997 in 2013); compared with the private hospitals (~29%: 1,005,270/ 3,459,968 in 2012, and 1,035,846/ 3,542,997 in 2013). • On a daily basis, the public hospitals received 2.5 times more admissions than the private hospitals. • Over the years, mean average length of stay (ALOS) for the country has kept at 3.5 days. Mean ALOS for the public hospitals was a day longer than the private hospitals (3.8 days versus 2.8 days). • Mean bed occupancy rate (BOR) was highest in the specialist hospitals among the three hospital categories (~71% in the specialist hospitals, ~46% in the non-specialist hospitals, and ~34% in the maternity centres). • Interestingly, mean BOR of public specialist hospitals remained almost unchanged over time while that of public non-specialist hospitals demonstrated a decreasing pattern; highlighting underutilisation of public non-specialist hospitals. • Consistent with BOR, mean turnover interval (TOI) was shortest for the specialist hospitals (~1.5 days) compared with the non-specialist hospitals (~3 days) and the maternity centres (3.5-4.5 days).

Outpatient Activities • Hospital outpatient activities for 2012 and 2013 each amounted to 32-33 million visits per year; outnumbering inpatient activities (admissions) by nine times. • In both years, the highest proportion of outpatient visits was observed in the specialist clinics (~49%: 15,836,155/ 32,268,454 in 2012, and 16,090,011/ 32,933,967 in 2013), followed by emergency departments (~28%: 9,147,144/ 32,268,454 in 2012, and 9,362,209/ 32,933,967 in 2013), and general outpatient departments (~23%: 7,285,155/ 32,268,454 in 2012, and 7,481,747/ 32,933,967 in 2013). • Majority of the emergency department visits occurred in the public hospitals (~82%: 7,585,804/ 9,147,144 in 2012, and 7,632,331/ 9,362,209 in 2013). • Similarly, most of the general outpatient department visits happened in the public hospitals (~73%: 5,359,471/ 7285,155 in 2012, and 5,413,101/ 7,481,747 in 2013)

Chapter 4: Hospital Health Workforce Doctors (Specialists and Medical Officers) • In 2013, there were 19,927 doctors working in acute curative hospitals (67.1 doctors per 100,000 population). • Most doctors were working in the public hospitals (79.9%: 15,913/ 19,927); while the rest were working in the private hospitals (20.1%: 4,014/ 19,927). • Over the past four years (2010-2013), the number of doctors has increased by 25% (5,022/ 19,927); the majority of which were public hospital doctors i.e. 87.8% (4,407/ 5,022), while the remaining 12.2% (615/ 5,022) were private hospital doctors.

2 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

• Majority of doctors were working in the West Coast region of . The highest doctor-to-population ratio was seen in Klang Valley* (99.6 per 100,000 population). Meanwhile, the lowest ratios were recorded by & WP (9.1 per 100,000 population), (12.9 per 100,000 population), and (14.8 per 100,000 population). • The doctor workforce in 2013 consisted of 39% specialists (7,788/ 19.927), and 61% (12,139/ 19,927) medical officers. • Over the four-year period, the number of medical officers increased at a higher rate (32.2%: 3,910/ 12,139) than that of the specialists (14.3%: 1,112/ 7,788).

* Klang Valley refers to , WP Putrajaya, and WP Kuala Lumpur

Staff Nurses • There were 68,121 staff nurses (229 per 100,000 population) working in acute curative hospitals in 2013. • Staff nurses in the public hospitals made up the majority: 74.2% (50,541/ 68,121), while the remaining 25.8% (17, 580/ 68,121) consisted of staff nurses in the private hospitals. • There was also a higher proportion of staff nurses with post-basic training qualification within the public hospital staff nurse workforce (35.4%: 17,885/ 50,541) versus the private hospital staff nurse workforce (19.0%: 3,342/17,580).

• Pulau Pinang, Melaka, and the states within Klang Valley had around 300 staff nurses per 100,000 population, while Sarawak, Terengganu, Sabah, WP Labuan, and had less than 200 staff nurses per 100,000 population.

Assistant Medical Officers (AMO) • In 2013, 6,568 AMOs (22 per 100,000 population) were working in acute curative hospitals. • A large majority of AMOs were working in the public hospitals (98.8%: 6,488/ 6,568), while the remaining 1.2% were working in the private hospitals (80/ 6,568). • Out of all AMOs in the public hospitals, 41.3% (2,680/ 6,488) held post-basic training; while only 17.5% (14/ 80) of the total number of AMOs in the private hospitals had similar training. • Most states recorded AMO-to-population ratio of around 22-27 per 100,000 population i.e. approximating the national average. However recorded the highest with 44 AMOs per 100,000 population; while Klang Valley, and Johor each recorded about 17 AMOs per 100,000 population.

Radiographers • In 2013, there were 3,258 radiographers working in acute curative hospitals; 2,419 (74.2%) in the public hospitals, and 839 (25.8%) in the private hospitals. • The national average of radiographer-to-population ratio was 11 per 100,000 population. The highest ratios were recorded by Pulau Pinang, Perlis, and Klang Valley (12-15 per 100,000 population). Meanwhile the lowest ratios were observed in , Terengganu, and Sabah & WP Labuan (7-8 per 100,000 population). • Radiographers with post-basic qualification can only be reported for the public hospitals. There were more radiographers with post-basic training in CT scan (5.3%: 128/ 2,419) compared with radiographers with post-basic training in mammogram (1.3%: 31/ 2,419).

3 This page intentionally left blank Chapter 1 : Hospital Facilities National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

CHAPTER 1 | HOSPITAL FACILITIES

There were 345 acute curative hospitals (51,457 beds) in Malaysia in 2012; of which 139 were public hospitals (37,857 beds), and 206 were private hospitals (13,600 beds). In 2013, the total number of acute curative hospitals in the country increased to 351 hospitals (52,436 beds). Out of these, 141 were public hospitals (38,641 beds), and 210 were private hospitals (13,795 beds). [Table 1.1 and Table 1.2]

The public sector saw an increased number of acute curative hospitals from 2011 to 2013 compared with that of the private sector i.e. six public hospitals (898 beds) versus four private hospitals (88 beds) [Table 1.1]. Such finding in the public sector is contributed by revision of the hospital population frame whereby the 2012 and 2013 survey included the MOD hospitals whereas for 2011 these hospitals were excluded from the population frame. There were five MOD hospitals (646 beds), and all but one MOD hospital (40 beds) was established before the year 2012. The number of acute curative MOH hospitals grew by one hospital in three years (2011-2013), and the number of University hospitals remained the same during the three-year duration.

Specialist hospitals observed an increasing pattern in number, over three years (2011-2013), while maternity centres experienced a decreasing pattern, and the number of non-specialist hospitals were almost unchanged [Table 1.1.1]. Growth in number of specialist hospitals was consistent with their increase in number of beds: 62 specialist hospitals (43,556 beds) in 2011, 65 specialist hospitals (44,091 beds) in 2012, and 67 specialist hospitals (45,024 beds) in 2013. Specialist hospitals bed capacity increased by 1.2% from 2011 to 2012, and by 2.1% from 2012 to 2013 [Table 1.1.1 and Table 1.2.1]. The number of beds in non-specialist hospitals and maternity centres did not show substantial differences over the three-year period [Table 1.2.2 and Table 1.2.3]. Nonetheless, bed- to-population ratio for all three categories of hospital remained similar in 2011, 2012 and 2013 [Table 1.2.1, Table 1.2.2, and Table 1.2.3].

Net change of the country’s total acute curative bed capacity amounted to an increase of 1.9% from the year 2012 to 2013 compared with an increase of 1.1% from 2011 to 2012. However this total inpatient bed capacity growth has only managed to keep pace with population growth, as demonstrated by similar bed-to-population ratio in all three years. We take note that the actual acute curative bed count of 2011 would be higher if the MOD hospitals were included. However we gathered that the difference would not have affected the bed-to-population ratio substantially, based on our observation of the 2012 and 2013 data in which only 1.2% of the total acute curative hospital beds were situated in the MOD hospitals.

Looking at the public-private distribution, we saw a net increase of total inpatient beds in the public sector of 2.0% in the period of 2012-2013 versus a net increase of only 0.5% from 2011 to 2012. Nonetheless we reiterate that caution has to be exercised in interpreting this observation given the different public hospital population frame for 2012-2013 versus 2011. The private sector showed a reverse pattern to that of the public sector. Total inpatient bed capacity rose by only 1.4% from 2012 to 2013; showing a decreasing pattern compared to the period of 2011-2012 whereby the private hospital beds increased by 2.5%. [Table 1.2]

Meanwhile, the number of functioning inpatient beds increased by 2.5% from 2012 to 2013; with higher percentage of increase in the public hospitals (3.0%) compared with the private hospitals (1.3%). Furthermore the proportion of functioning inpatient beds out of total inpatient beds also observed an increasing pattern during the three-year period: 93.3% in 2011, 96.2% in 2012, and 96.8% in 2013. Encouragingly, a growing pattern of bed-to-population ratio of functioning inpatient beds was observed during the two-year period, unlike the plateauing bed-to-population ratio of total inpatient beds. [Table 1.2]

6 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Limitation:

1. Inclusion of MOD hospitals into this survey (while being excluded in the previous NHEWS (Hospital) surveys) necessitates caution to be exercised when interpreting trend over the years.

2. Data presented here is at the national and state level. Therefore it does not illustrate intrastate facility distribution. HOSPITAL FACILITIES HOSPITAL CHAPTER 1:

7 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 ------1.47 2.60 2.42 1.12 1.27 1.66 0.44 0.84 0.41 1.18 population Per 100,000 Per Year 2013 Year 5 2 0 2 6 0 8 9 1 0 1 92 18 44 39 64 53 11 31 16 15 27 21 10 10 17 110 351 210 141 Number ------1.45 2.51 1.26 1.13 1.28 1.68 0.45 0.85 0.42 1.18 population Per 100,000 Per Year 2012 Year 5 1 0 1 6 0 8 9 1 0 1 90 17 42 37 64 53 11 31 16 15 27 21 10 10 17 107 345 206 139 Number ------1.39 2.42 1.31 1.08 1.25 1.73 0.45 0.91 0.42 1.18 population Per 100,000 Per Year 2011 Year 4 1 0 1 6 0 9 9 1 0 1 86 16 41 37 60 49 11 30 16 14 28 22 10 10 18 102 341 206 135 Number Sector * Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Table 1.1: Number & Density of Acute Curative Hospitals in Malaysia by State and Sector, 2011-2013. State and Sector, by Hospitals in Malaysia Acute Curative 1.1: Number & Density of Table State Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Selangor & WP Putrajaya & WP Kauala Lumpur & WP Putrajaya Selangor & Selangor & WP Putrajaya & WP Kauala Lumpur & WP Putrajaya Selangor & WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala WP Putrajaya WP Putrajaya WP Putrajaya Selangor Selangor Selangor Perak Perak Pulau Pinang Pulau Pinang Pulau Pinang Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah Kedah Kedah Perlis Perlis Perlis Malaysia Malaysia Malaysia *Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. Abbreviation: - not available Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while *Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

8 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 ------0.82 1.07 0.82 1.28 0.78 0.63 1.21 1.15 0.94 1.50 population Per 100,000 Per Year 2013 Year 5 1 0 1 5 3 7 1 6 9 8 4 4 9 7 29 24 28 23 33 13 20 13 10 19 10 40 29 11 16 Number ------0.81 1.09 0.80 1.26 0.79 0.64 1.23 1.13 0.95 1.51 population Per 100,000 Per Year 2012 Year 5 1 0 1 5 3 7 1 6 9 8 4 4 9 7 28 23 27 22 32 12 20 13 10 19 10 39 28 11 16 Number ------0.82 1.11 0.81 1.27 0.82 0.65 1.25 1.21 0.84 1.44 population Per 100,000 Per Year 2011 Year 5 1 0 1 5 3 7 1 6 9 7 4 3 9 6 28 23 27 22 32 12 20 13 10 19 10 41 30 11 15 Number Sector * Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Table 1.1 [continued]: Number & Density of Acute Curative Hospitals in Malaysia by State and Sector, 2011-2013. State and Sector, by Hospitals in Malaysia Acute Curative 1.1 [continued]: Number & Density of Table State HOSPITAL FACILITIES HOSPITAL Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & WP Labuan WP Labuan WP Labuan Sabah Sabah Sabah Sarawak Sarawak Sarawak Kelantan Kelantan Terengganu Terengganu Terengganu Pahang Pahang Pahang Johor Johor Johor Melaka Melaka Melaka Negeri Sembilan Negeri Sembilan *Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. Abbreviation: - not available Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while *Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 1:

9

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population population ------Per 100,000 100,000 Per

0.00 0.00

0.16 0.30 0.23 0.75 0.10 1.73 0.09 0.37 2013 Number 0 0 0 0 2 2 0 2 2 6 6 4 4

na na na na na na 17 na 68 17 68 na 13 na 13 30 30

population population ------Per 100,000 100,000 Per

0.00 0.00

0.30 0.24 0.76 0.10 1.75 0.09 0.43 0.17 2012 Number 0 0 0 0 0 2 2 0 0 2 2 7 7 4 4 na na na na na 17 69 17 69 na 13 na 13 30 30

Maternity Centre

population population ------Per 100,000 100,000 Per

0.00 0.00

0.27 0.24 0.77 0.20 1.65 0.18 0.44 0.17 2011 Number 0 0 0 0 0 4 4 0 4 4 7 7 4 4

na na na na na 15 na 70 15 70 na 13 na 13 28 28

population population ------Per 100,000 100,000 Per

0.00 0.00 0.00

0.07 0.25 0.25 0.23 0.22 0.12 0.37 2013 Number 4 0 1 4 0 0 0 0 0 0 0 5 0 0 0 5 4 5 0 0 4 5 2 0 2 9

0 9

74 75

population population ------Per 100,000 100,000 Per

0.00 0.00 0.00

0.07 0.26 0.25 0.23 0.22 0.12 0.37 2012 Number 4 0 1 4 0 0 0 0 0 0 0 5 0 0 0 5 4 5 0 0 4 5 2 0 2 9

0 9

74 75

population population ------Non Specialist Hospital 100,000 Per

0.00 0.00 0.00

0.07 0.26 0.25 0.24 0.23 0.13 0.38 2011 Number 4 0 1 4 0 0 0 0 0 0 0 5 0 0 0 5 4 5 0 0 4 5 2 0 2 9

0 9

73 74

population population ------Per 100,000 100,000 Per

0.75 0.70 2.42 0.41 1.85 0.49 4.45 0.49 1.17 0.74 2013 Number 7 2 1 0 0 2 1 5 4 6 5 6 4 6 67 36 43 26 31 10 14 62 76 11 15 19

12 18

141 208

population population ------Per 100,000 100,000 Per

0.76 0.69 1.26 0.42 1.75 0.50 4.32 0.49 1.12 0.74 2012 Number 7 1 1 0 0 1 1 5 4 6 5 6 4 6

65 36 43 24 29 10 13 60 73 11 14 18 12 18

136 201

Specialist Hospital population ------Per 100,000 100,000 Per

0.74 0.68 1.31 0.42 1.65 0.46 4.13 0.45 1.19 0.71 2011 Number 7 1 1 0 0 1 1 4 4 5 9 5 5 4 5 62 34 41 24 28 12 58 70 10 15 19 12 17 135 197 Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total Table 1.1.1: Number & Density of Categories of Acute Curative Hospitals in Malaysia by State and Sector, 2011-2013 State and Sector, by Hospitals in Malaysia Acute Curative 1.1.1: Number & Density of Categories Table State Selangor Malaysia Selangor Malaysia Selangor Malaysia WP Putrajaya Perlis WP Putrajaya Perlis WP Putrajaya Perlis WPKL Kedah WPKL Kedah WPKL Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

10

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population population ------Per 100,000 100,000 Per

0.00

0.00 0.00 0.00 0.12 0.19 0.06 0.43 0.23 0.25 2013 Number 3 2 3 2 2 0 2 0 0 0 2 4 2 4 0 0 0 0

na na na na na na na na na 15 na 15

population population ------Per 100,000 100,000 Per

0.00 0.00 0.00 0.00 0.12 0.19 0.06 0.44 0.24 0.26 2012 Number 3 2 3 2 2 0 2 0 0 0 0 2 4 2 4 0 0 0 0 na na na na na na na na 15 na 15

Maternity Centre

population population ------Per 100,000 100,000 Per

0.00 0.00 0.00 0.00 0.12 0.19 0.06 0.47 0.24 0.26 2011 Number 3 2 3 2 2 0 2 0 0 0 0 2 4 2 4 0 0 0 0

na na na na na na na na 16 na 16

population population ------Per 100,000 100,000 Per

0.00

0.47 0.37 0.44 0.23 0.17 1.76 0.38 0.36 0.36 2013 Number 4 0 0 4 2 0 0 2 0 5 0 1 0 6 6 0 0 6 4 0 4 6 0 6

12 12 15 15 15 15

population population ------Per 100,000 100,000 Per

0.00

0.47 0.38 0.44 0.24 0.17 1.78 0.39 0.37 0.37 2012 Number 4 0 0 4 2 0 0 2 0 5 0 1 0 6 6 0 0 6 4 0 4 6 0 6

12 12 15 15 15 15

population population ------Non Specialist Hospital 100,000 Per

0.00

0.48 0.29 0.45 0.24 0.18 1.76 0.39 0.37 0.37 2011 Number 3 0 0 3 2 0 0 2 0 5 0 1 0 6 6 0 0 6 4 0 4 6 0 6

12 12 15 15 15 15

population population ------Per 100,000 100,000 Per

0.70 0.93 0.32 0.70 1.07 0.55 1.41 0.57 0.27 0.42 2013 Number 8 3 7 8 2 3 4 6 1 6 0 1 9 4 3 5 9 2 1 3 4 3 7

10 18 10 11 13 19 12

population population ------Per 100,000 100,000 Per

0.67 0.95 0.30 0.71 1.09 0.52 1.31 0.58 0.27 0.43 2012 Number 8 3 9 7 7 2 3 4 6 1 6 0

1 8 4 3 5 9 2 1 3 4 3 7

17 10 10 12 18 11

Specialist Hospital population ------Per 100,000 100,000 Per

0.68 0.96 0.30 0.60 1.11 0.56 1.32 0.59 0.28 0.43 2011 Number 8 3 9 7 7 1 3 4 5 1 6 0 1 8 4 3 5 9 2 1 3 4 3 7 17 10 10 13 19 11 Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total Table 1.1.1 [continued]: Number & Density of Categories of Acute Curative Hospitals in Malaysia by State and Sector, 2011-2013 State and Sector, by Hospitals in Malaysia Acute Curative 1.1.1 [continued]: Number & Density of Categories Table State HOSPITAL FACILITIES HOSPITAL Sarawak Negeri Sembilan Sarawak Negeri Sembilan Sarawak Negeri Sembilan Sabah Melaka Sabah Melaka Sabah Melaka WP Labuan Johor WP Labuan Johor WP Labuan Johor Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 1:

11 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population Per 1,000 1,000 Per 6.64 1.35 1.88 2.43 1.46 1.44 1.67 2.08 1.71 4.26

2013 Number na na 548 548 533 533 404 404 2,982 4,399 7,725 3,322 4,403 4,583 1,015 3,568 3,961 2,014 1,947 3,306 2,773 2,902 2,369 6,304 9,350 7,381 50,766 13,279 37,487 15,654

- ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - ­ - -

population Per 1,000 1,000 Per 3.90 1.35 1.87 2.44 1.46 1.44 1.69 2.03 1.69 4.20

2012 Number na na 310 310 529 529 404 404 2,937 4,267 7,603 3,278 4,325 4,519 1,015 3,504 3,933 1,986 1,947 3,276 2,747 2,872 2,343 6,215 8,902 7,204 49,485 13,113 36,372 15,117

- ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - ­ - -

Functioning Inpatient Beds population Per 1,000 1,000 Per 3.64 1.30 1.72 2.28 1.46 1.43 1.64 1.93 1.64 3.93

2011 Number na na 278 278 794 537 537 390 390 2,584 4,075 7,271 2,992 4,279 4,118 3,324 3,640 1,693 1,947 3,221 2,684 2,831 2,294 5,576 8,632 6,659 47,521 11,940 35,581 14,208

- ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - ­ - -

population Per 1,000 1,000 Per 4.59 7.19 1.42 1.95 2.45 1.49 1.47 1.67 2.21 1.76

2013 Number na na 593 593 533 533 404 404 7,952 3,271 4,681 8,101 3,417 4,684 4,747 1,023 3,724 3,984 2,037 1,947 3,367 2,834 2,963 2,430 6,689 9,958 52,436 13,795 38,641 16,647

- ­ - - ­ - - ­ - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - ­ - - population

w - Per 1,000 1,000 Per 4.57 4.29 1.43 1.96 2.45 1.49 1.47 1.69 2.18 1.75

2012 Number na na 341 341 529 529 404 404 7,838 3,188 4,650 8,085 3,401 4,684 4,747 1,023 3,724 3,943 1,996 1,947 3,337 2,808 2,933 2,404 6,589 9,675 51,457 13,600 37,857 16,264 Total Inpatient Beds Total

- ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - ­ - -

population Per 1,000 1,000 Per 4.52 3.64 1.44 1.85 2.43 1.51 1.49 1.70 2.17 1.76

2011 Number na na 278 278 860 542 542 404 404 7,666 3,015 4,651 8,032 3,267 4,765 4,440 3,580 3,867 1,920 1,947 3,336 2,794 2,932 2,390 6,282 9,694 50,914 13,255 37,659 15,976 Sector * Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Total Private Private Public Public State Table 1.2 : Number & Density of Total Inpatient Beds & Functioning Inpatient Beds in Acute Curative Hospitals in Malaysia by State & Sector, 2011-2013 State & Sector, by Hospitals in Malaysia Acute Curative Inpatient Beds & Functioning in Total 1.2 : Number & Density of Table WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala WP Putrajaya WP Putrajaya WP Putrajaya Selangor Selangor Selangor Perak Perak Perak Pulau Pinang Pulau Pinang Pulau Pinang Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah Kedah Kedah Perlis Perlis Perlis Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

12 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population Per 1,000 1,000 Per 1.14 1.47 1.59 1.24 1.48 1.42 2.40 1.15 1.97 1.17

2013 Number na 33 109 127 375 169 277 704 127 559 109 3,923 3,796 3,788 3,413 2,654 2,485 1,375 1,342 2,323 2,046 4,940 1,170 3,770 2,043 1,339 4,032 2,108 3,905 1,549

- ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - ­ - -

population Per 1,000 1,000 Per 1.12 1.46 1.61 1.26 1.45 1.38 2.33 1.12 1.98 1.19

2012 Number na 33 109 123 373 164 277 676 123 547 109 3,762 3,639 3,711 3,338 2,639 2,475 1,375 1,342 2,239 1,962 4,744 1,176 3,568 1,966 1,290 3,871 2,096 3,748 1,549

- ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - ­ - -

Functioning Inpatient Beds population Per 1,000 1,000 Per 1.19 1.49 1.59 1.28 1.51 1.34 2.07 1.19 1.95 1.21

2011 Number na 33 109 157 449 162 338 968 716 157 517 109 3,932 3,775 3,759 3,310 2,561 2,399 1,375 1,342 2,300 1,962 4,546 3,578 1,722 1,006 4,041 2,030 3,884 1,513

- ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - ­ - -

population Per 1,000 1,000 Per 1.21 1.48 1.60 1.24 1.48 1.46 2.42 1.21 1.98 1.17

2013 Number na 33 109 109 134 375 176 282 725 134 559 4,143 4,009 3,824 3,449 2,661 2,485 1,375 1,342 2,328 2,046 5,066 1,230 3,836 2,064 1,339 4,252 2,122 4,118 1,563

- ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - ­ - -

population Per 1,000 1,000 Per 1.19 1.18 1.50 1.62 1.26 1.47 1.41 2.36 1.18 2.00

2012 Number na 33 109 109 130 373 176 282 697 130 547 2011-2013 3,991 3,861 3,806 3,433 2,651 2,475 1,375 1,342 2,278 1,996 4,860 1,226 3,634 1,987 1,290 4,100 2,110 3,970 1,563 Total Inpatient Beds Total

- ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - ­ - -

population Per 1,000 1,000 Per 1.21 1.32 1.56 1.59 1.28 1.55 1.38 2.18 1.32 1.96

2011 Number na 33 109 109 249 475 162 340 813 249 517 4,393 4,144 3,928 3,453 2,561 2,399 1,375 1,342 2,370 2,030 4,696 1,062 3,634 1,819 1,006 4,502 2,044 4,253 1,527 Sector * Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Total Private Private Public Public State HOSPITAL FACILITIES HOSPITAL Table 1.2 [continued]: Number & Density of Total Inpatient Beds & Functioning Inpatient Beds in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative Inpatient Beds & Functioning in Total 1.2 [continued]: Number & Density of Table WP Labuan WP Labuan WP Labuan Sabah Sabah Sabah Sarawak Sarawak Sarawak Kelantan Kelantan Kelantan Terengganu Terengganu Terengganu Pahang Pahang Pahang Johor Johor Johor Melaka Melaka Melaka Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 1:

13

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 1,000 1,000 Per 4.18 1.47 1.97 1.67 1.17 1.22 2.28 1.52 1.23 6.64

na na 2013 Number 404 404 505 505 996 548 548

7,247 8,900 5,943 1,852 2,357 2,256 2,761 1,771 1,936 3,707 2,696 3,692 3,953 3,095 7,048 4,399 2,848

31,110 12,485 43,595 14,843

population - ­ - ­ ­ - ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - Per 1,000 1,000 Per 4.12 1.44 1.92 1.69 1.17 1.22 2.27 1.51 1.23 3.90

na na 2012 Number 404 404 501 501 996 310 310

7,067 8,452 5,864 1,826 2,327 2,230 2,731 1,771 1,883 3,654 2,650 3,646 3,875 3,064 6,939 4,267 2,800

30,062 12,317 42,379 14,316

population - ­ - ­ ­ - ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ -

Functioning Inpatient Beds Per 1,000 1,000 Per 3.90 1.40 1.83 1.64 1.14 1.20 2.10 1.39 1.18 3.64

na na 2011 Number 390 390 480 480 773 278 278

6,601 8,149 5,299 1,777 2,257 2,167 2,647 1,771 1,583 3,354 2,556 3,329 3,796 2,773 6,569 4,075 2,526

29,434 11,219 40,653 13,448

population - ­ - ­ ­ - ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - Per 1,000 1,000 Per 1.52 2.10 1.67 1.18 1.05 2.29 1.57 1.30 7.19 4.51

na na 2013 Number 404 404 505 505 593 593

9,508 6,321 1,870 2,375 1,870 2,375 1,771 1,959 3,730 2,810 1,004 3,814 4,234 3,190 7,424 4,681 3,132 7,813

32,034 12,990 45,024 15,829

population - ­ - ­ ­ - ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - Per 1,000 1,000 Per 1.50 2.08 1.69 1.17 1.05 2.27 1.58 1.31 4.29 4.49

na na 2012 Number 404 404 501 501 341 341 9,225 6,231 1,844 2,345 1,844 2,345 1,771 1,893 3,664 2,810 1,004 3,814 4,234 3,186 7,420 4,650 3,045 7,695 31,299 12,792 44,091 15,456

Total Inpatient Beds Total

population - ­ - ­ ­ - ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - Per 1,000 1,000 Per 1.50 2.06 1.70 1.17 1.05 2.25 1.46 1.31 3.64 4.47

na na 2011 Number 404 404 485 485 839 278 278 9,171 5,974 1,830 2,315 1,830 2,315 1,771 1,810 3,581 2,666 3,505 4,242 3,048 7,290 4,651 2,926 7,577 31,066 12,490 43,556 15,145 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 1.2.1 : Number & Density of Total Inpatient Beds and Functioning Beds in (Acute Curative) Specialist Hospitals in Malaysia by State & Sector, 2011-2013 State & Sector, by Specialist Hospitals in Malaysia Inpatient Beds and Functioning in (Acute Curative) Total 1.2.1 : Number & Density of Table Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

14

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 1,000 1,000 Per 1.17 1.69 0.75 2.22 1.21 1.19 0.87 1.28 1.18 0.74

94 na 33 2013 94 Number 109 550 704 945 252 937 970 169 359 109

1,258 2,551 1,808 2,645 1,185 1,889 3,275 4,220 1,623 1,875 1,967 2,136 2,691 3,050 2,442 2,536

population - ­ - ­ ­ - ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - Per 1,000 1,000 Per 1.19 1.70 0.72 2.21 1.17 1.16 0.89 1.29 1.17 0.71

94 na 33 2012 94 Number 109 538 676 960 252 937 970 164 356 109

1,258 2,394 1,796 2,488 1,185 1,861 3,073 4,033 1,539 1,791 1,957 2,121 2,616 2,972 2,285 2,379

population - ­ - ­ ­ - ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ -

Functioning Inpatient Beds Per 1,000 1,000 Per 1.21 1.69 0.78 1.94 1.14 1.21 0.90 1.30 1.21 0.77

na 33 2011 Number 109 517 139 901 716 783 310 937 970 162 424 139 109

1,248 2,530 1,765 2,669 1,617 3,083 3,866 1,539 1,849 1,937 2,099 2,616 3,040 2,421 2,560

population - ­ - ­ ­ - ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - Per 1,000 1,000 Per 1.69 0.78 2.24 1.25 1.19 0.87 1.29 1.20 0.77 1.17

na 33 2013 Number 550 101 725 252 937 970 176 359 101 109 109

1,258 2,639 1,808 2,740 1,185 1,910 3,341 1,005 4,346 1,623 1,875 1,967 2,143 2,721 3,080 2,530 2,631

population - ­ - ­ ­ - ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - Per 1,000 1,000 Per 1.70 0.75 2.23 1.21 1.18 0.89 1.30 1.20 0.74 1.19

na 33 2012 Number 538 101 697 252 937 970 176 356 101 109 109 2011-2013 1,258 2,491 1,796 2,592 1,185 1,882 3,139 1,010 4,149 1,573 1,825 1,957 2,133 2,705 3,061 2,382 2,483

Total Inpatient Beds Total

population - ­ - ­ ­ - ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - Per 1,000 1,000 Per 1.70 0.88 2.06 1.18 1.24 0.90 1.30 1.25 0.87 1.21

na 33 2011 Number 517 231 901 813 864 312 937 970 162 450 231 109 109 1,258 2,774 1,775 3,005 1,714 3,139 4,003 1,573 1,885 1,937 2,099 2,705 3,155 2,665 2,896 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL FACILITIES HOSPITAL Table 1.2.1 [continued]: Number & Density of Total Inpatient Beds and Functioning Beds in (Acute Curative) Specialist Hospitals in Malaysia by State & Sector, State & Sector, by Specialist Hospitals in Malaysia Inpatient Beds and Functioning in (Acute Curative) Total 1.2.1 [continued]: Number & Density of Table Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 1:

15

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na Per 1,000 1,000 Per 0.00 0.22 0.06 0.26 0.23 0.11 0.36 0.08

na na na na na na na na na 54 na na na na na 2013 Number 450 450 517 517 517 517 176 176 872 872 450 450

6,377 6,431 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na Per 1,000 1,000 Per 0.00 0.22 0.06 0.26 0.23 0.11 0.35 0.08

na na na na na na na na na 48 na na na na na 2012 Number 450 450 517 517 517 517 176 176 854 854 450 450

6,310 6,358 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Functioning Inpatient Beds

na na Per 1,000 1,000 Per 0.00 0.21 0.07 0.26 0.23 0.11 0.32 0.09

na na na na na na na na na 51 na na na na na 2011 Number 483 483 517 517 517 517 176 176 768 768 483 483

6,147 6,198 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na na Per 1,000 1,000 Per 0.22 0.06 0.28 0.25 0.11 0.38 0.08

na na na na na na na na na 54 na na na na na na 2013 Number 450 450 560 560 560 560 176 176 914 914 450 450

6,607 6,661 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na na Per 1,000 1,000 Per 0.23 0.06 0.28 0.25 0.11 0.38 0.08

na na na na na na na na na 48 na na na na na na 2012 Number 450 450 560 560 560 560 176 176 914 914 450 450 6,558 6,606

Total Inpatient Beds Total population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na na Per 1,000 1,000 Per 0.23 0.07 0.28 0.25 0.11 0.38 0.09

na na na na na na na na na 51 na na na na na na 2011 Number 523 523 560 560 560 560 176 176 914 914 523 523 6,593 6,644 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 1.2.2: Number & Density of Total Inpatient Beds and Functioning Beds in (Acute Curative) Non-Specialist Hospitals in Malaysia by State & Sector, 2011-2013 State & Sector, by Non-Specialist Hospitals in Malaysia Inpatient Beds and Functioning in (Acute Curative) Total 1.2.2: Number & Density of Table Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

16

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na Per 1,000 1,000 Per 0.27 0.38 0.18 0.16 0.27 0.36 0.31 0.28 0.39

na na na na na na na na na na na 54 2013

Number 291 291 154 154 495 549 423 423 405 405 518 518 722 722

1354 1354 1354 1354 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na Per 1,000 1,000 Per 0.28 0.39 0.12 0.16 0.27 0.37 0.32 0.28 0.40

na na na na na na na na na na na 48 2012

Number 291 291 105 105 495 543 423 423 405 405 518 518 722 722

1354 1354 1354 1354 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Functioning Inpatient Beds

na Per 1,000 1,000 Per 0.25 0.40 0.13 0.16 0.28 0.38 0.29 0.28 0.41

na na na na na na na na na na na 51 2011

Number 265 265 105 105 495 546 423 423 405 405 462 462 694 694

1354 1354 1354 1354 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na Per 1,000 1,000 Per 0.29 0.42 0.18 0.16 0.27 0.36 0.31 0.28 0.43

na na na na na na na na na na 54 na 2013

Number 305 305 154 154 495 549 423 423 405 405 518 518 728 728

1479 1479 1479 1479 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na Per 1,000 1,000 Per 0.29 0.43 0.12 0.16 0.27 0.37 0.32 0.29 0.44

na na na na na na na na na na 48 na 2012 Number 305 305 105 105 495 543 423 423 405 405 518 518 728 728 1479 1479 1479 1479 2011-2013

Total Inpatient Beds Total population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na Per 1,000 1,000 Per 0.26 0.43 0.13 0.16 0.30 0.38 0.29 0.30 0.45

na na na na na na na na na na 51 na 2011 Number 269 269 105 105 495 546 457 457 405 405 462 462 748 748 1479 1479 1479 1479 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL FACILITIES HOSPITAL Table 1.2.2 [continued]: Number & Density of Total Inpatient Beds and Functioning Beds in (Acute Curative) Non-Specialist Hospitals in Malaysia by State & Sector, State & Sector, by Non-Specialist Hospitals in Malaysia Inpatient Beds and Functioning in (Acute Curative) Total 1.2.2 [continued]: Number & Density of Table Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 1:

17

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na Per 1,000 1,000 Per 0.08 0.02 0.05 0.01 0.01 0.05 0.01 0.04

na na na na na na na

na na na na na na na 28 28 28 28 78 78 19 19 2013

Number 134 741 361 741 361 228 228 134 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na Per 1,000 1,000 Per 0.08 0.03 0.05 0.01 0.01 0.06 0.01 0.04

na na na na na na na

na na na na na na na 28 28 28 28 19 19 2012

Number 137 749 351 749 351 103 103 214 214 137 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Functioning Inpatient Beds

na na Per 1,000 1,000 Per 0.03 0.02 0.04 0.03 0.03 0.07 0.01 0.04

na na na na na

na na na na 58 na na na na na 57 57 57 57 21 21 2011 58

Number 670 276 670 276 110 110 219 219 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na Per 1,000 1,000 Per 0.03 0.05 0.01 0.01 0.05 0.01 0.04 0.08

na na na na na na na

na na na na na na na 28 28 28 28 78 78 19 19 2013

Number 752 367 752 367 228 228 140 140 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na Per 1,000 1,000 Per 0.03 0.05 0.01 0.01 0.06 0.01 0.04 0.08

na na na na na na na na na na na na na na 28 28 28 28 19 19 2012 Number 760 358 760 358 103 103 214 214 143 143

Total Inpatient Beds Total population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na Per 1,000 1,000 Per 0.02 0.04 0.03 0.03 0.07 0.01 0.04 0.05

na na na na na na na na na na na na na na 57 57 57 57 21 21 2011 89 89 Number 713 308 713 308 110 110 219 219 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 1.2.3 : Number & Density of Total Inpatient Beds and Functioning Beds in (Acute Curative) Maternity Centres in Malaysia by State & Sector, 2011-2013 State & Sector, by Maternity Centres in Malaysia Inpatient Beds and Functioning in (Acute Curative) Total 1.2.3 : Number & Density of Table Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

18

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na na na Per 1,000 1,000 Per 0.01 0.01 0.05 0.02 0.01 0.01 9 9

na na na na na na na na na na na na na na na 33 33 na na na 25 25 16 2013 16 33 33

Number 171 171 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na na na Per 1,000 1,000 Per 0.01 0.01 0.05 0.02 0.01 0.01 9 9

na na na na na na na na na na na na na na na 29 29 na na na 25 25 17 2012 17 29 29

Number 168 168 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Functioning Inpatient Beds

na na na na Per 1,000 1,000 Per 0.00 0.01 0.04 0.02 0.01 0.01 0

na na na na na na na na na na na na na na 18 18 na na na na 28 28 25 2011 25 18 18

Number 134 134 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na na na Per 1,000 1,000 Per 0.01 0.01 0.05 0.02 0.01 0.01 9 9

na na na na na na na na na na na na na na 33 33 na na na na 30 30 16 2013 16 33 33

Number 171 171 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na na na Per 1,000 1,000 Per 0.01 0.01 0.05 0.02 0.01 0.01 9 9

na na na na na na na na na na na na na na 29 29 na na na na 30 30 17 2012 17 29 29 Number 168 168 2011-2013

Total Inpatient Beds Total population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

na na na na Per 1,000 1,000 Per 0.00 0.01 0.04 0.02 0.01 0.01 0 0

na na na na na na na na na na na na na na 18 18 na na na na 28 28 25 2011 25 18 18 Number 146 146 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL FACILITIES HOSPITAL Table 1.2.3 [continued]: Number & Density of Total Inpatient Beds and Functioning Beds in (Acute Curative) Maternity Centres in Malaysia by State & Sector, State & Sector, by Maternity Centres in Malaysia Inpatient Beds and Functioning in (Acute Curative) Total 1.2.3 [continued]: Number & Density of Table Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 1:

19 This page intentionally left blank Chapter 2 : Hospital Medical Device (Mammogram Machine) National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

CHAPTER 2 | HOSPITAL MEDICAL DEVICE (MAMMOGRAM MACHINE)

For this NHEWS (Hospital) report, we feature mammogram machines in discussing the availability of hospital medical devices. There were 146 mammogram machines in 2012, and 150 in 2013; the overall increase of four machines was contributed by an addition of five machines in the private sector, minus one machine from the public sector. About two thirds of hospital mammogram machines in the country were found in the private hospitals. [Table 2.1]

Both years saw a density of about 72 mammogram machines per million population of women aged 50-69 years in the country [Table 2.1]. The population denominator for this density calculation was adopted from the World Health Organization (WHO)1 and Organisation for Economic Co-operation and Development (OECD)2 reporting standard, indicating their target population for breast cancer screening programme. We feature this age group of female population in the interest of comparing our data with relevant international data. The latest available WHO data on mammogram machines density in most countries around the world is for the year 2010 1. Our neighbour Thailand, which shares similar economic status to us, had 30.8 mammogram machines per million women aged 50- 69 years; meanwhile Singapore, of high income economy had 143.9. Other high income countries such as Japan and New Zealand, observed a ratio of 225.9 and 227.9 each1.

Besides the 50-69 years age group, we are also reporting our data in reference to the female population of 40-74 years. Malaysian Management of Breast Cancer Clinical Practice Guideline (CPG)3 recommends screening mammography for women from the age 50-74 years. In addition, the CPG3 also recommends that women aged 40-49 years should not be denied screening mammography if they so desire. Furthermore, female breast cancer incidence in Malaysia demonstrates a higher increase from 40 years and above4,5. Overall age-standardised incidence of female breast cancer was 46.2 per 100,000 population in 2003 4, and 39.3 per 100,000 population in 2006 5. Age specific incidence for both years saw a higher incidence starting from the age group 40-49 years (111.9 per 100,000 population in 2003, and 88.1 per 100,000 population in 2006), with a peak in 50-59 years age group (159.8 per 100,000 population in 2003, and 142.7 per 100,000 population in 2006) 4,5. We also speculate that higher health-seeking behaviour may be a factor in promoting screening mammography in the 40-49 years age group. Going by the aforementioned arguments, we conclude that the 40-74 years age group would be a better suited target population for our local context.

Predictably, we observed density of mammogram machines per women aged 40-74 years to be lower than the density per women aged 50-69 years. For both 2012 and 2013, there were 37 mammogram machines per million women aged 40-74 years. This demonstrates reduced availability of such facility to the population by almost half than the earlier density per women aged 50-69 years [Table 2.1]. Hence, shortage of facility availability may in reality be more substantial than such shortage that is highlighted through comparison with international standards (which is limited by dissimilarities in demography, morbidity, and health systems).

Over the two-year period, availability of mammogram machine consistently surpassed the national average of 37 per million women aged 40-74 years in three locations i.e. Klang Valley (54-57), Negeri Sembilan (50-51), and Melaka (54-55). Meanwhile, two other locations consistently recorded values well below the national average i.e. Kelantan (13), and Sabah &WP Labuan (11-12). Density of mammogram machines differed by 1-3 PMP from 2012 to 2013 for most states/locations; except for Pulau Pinang- differing by 6 PMP (from 38 to 44 PMP). [Table 2.1]

Although data on the number of mammography (total and screening) performed were captured within the ‘Activities’ chapter of the NHEWS (Hospital) survey, we shall present the findings here to allow fluidity of discussion regarding the topic. Total number of mammography increased by 26,477 (15%) from 2012 to 2013. For both years, almost four times more mammographies were performed in the private sector compared with the public sector; consistent with the higher availability of mammogram machines in the private sector i.e. almost twice the amount in the public sector. Overall, screening mammography amounted to about two thirds of total mammography performed in both 2012 and 2013; largely contributed by the private sector. Majority (75%-77%) of mammographies performed in the private sector were screening in nature. Meanwhile in the public sector, most (78%-80%) mammographies were diagnostic. Such observation is uniform across all states in the country except for Terengganu, which had zero screening mammography in its sole

22 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 private hospital. [Table 2.2]

We attempted to estimate the rate of screening mammography performed for our selected target population (women aged 40-74 years). Data on screening mammography that we captured were outputs of hospitals, therefore patient details of each mammography were not gathered. As such we cannot be certain that all screening mammographies being reported were indeed performed for only women who fell into the specific age group. However we employ the assumption that most screening mammographies would be performed for said population of women and a negligible number would be contributed by screening mammographies of women out of the age range. This assumption shares common ground with observations made by the National Health and Morbidity Survey (NHMS) 2011 6,7. In NHMS 2011, a sample population of women aged 40 years and above were surveyed via a face-to-face individual interview to determine the prevalence of screening mammography in said population within 12 months prior to the survey6. The findings7 are presented below:

Table 2: Estimated Number and Proportion of Women Aged 40 Years and Above Who Underwent Screening Mammography Within 12 Months Prior to the NHMS 2011.

Number of Women Who Proportion of Estimated Estimated Age Group Reported to Have Undergone Population Out of the Total Population* Screening Mammography Estimated Population (%)‡ 40-44 81 73,426 27.2 45-49 85 64,859 24.1 50-54 73 57,800 21.4 55-59 52 30,490 11.3 60-64 20 15,079 5.6 65-69 7 6,886 2.6 70-74 12 16,321 6.1 75+ 6 4,637 1.7 40-74 330 264,861 98.3 40-75+ (Total) 336 269,498 100 *Refers to estimated number of women who underwent screening mammography in the population based on the number of women who reported to have undergone screening mammography. ‡ These proportions were not reported in the NHMS, but we calculated them by dividing the estimated population within each age group by 269, 498 (the total number of estimated population for all age groups) Source: NHMS 2011 Vol III 7. Adapted from Table 2.22: Promotive and preventive activities by sociodemographic characteristics (Page 117-118).

From the proportions stated above, we estimated that 98.3% of screening mammographies captured in NHEWS (Hospital) 2012-2013 survey would have been performed for women aged 40-74 years. Furthermore, the NHMS 2011 findings appear to reciprocate with our earlier discussion regarding screening mammography in women aged 40-49 years.

In this report, we applied the proportion of each age group to our screening mammography data, and tabulated the estimated number and estimated density (per 1,000 female population) within the respective age group, by state [Table 2.3 and Table 2.4]. The density was calculated by dividing the estimated number of screening mammography by the female population of each age group in each state.

In accordance with the NHMS 2011 observation, the estimated number of screening mammography decreased with increasing age (categorised into five-year intervals within the 40-74 years age group). However, an exception applies to the last five-year interval (70-74 years) for which the number

increased from that of the preceding five-year interval. Nonetheless, this pattern did not necessarily MEDICAL DEVICE (MAMMOGRAM MACHINE) HOSPITAL hold for the estimated density of screening mammography. Our estimation showed that on average, screening occurred at almost similar rates across the 40-44 year, 45-49 years, and 50-54 years age groups (~33 per 1,000 women of respective age group in 2012, and ~39 per 1,000 women CHAPTER 2:

23 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 of respective age group in 2013). For subsequent age groups, the pattern observed in estimated number of screening mammography also held true for the estimated density. Overall, we estimated screening mammography rate per 1,000 women aged 40-74 years to be 28 women for 2012, and 32 women for 2013. From this, a 16.4% increase of screening rate over two years can be observed. [Table 2.3 and Table 2.4]

A general observation that we noticed is that the higher the density of mammogram machines; the higher the density of screening mammography. This may translate into: the more available mammogram machines are to the population; the higher the screening rate is. We observed higher estimated screening rates than the national average for both years in Klang Valley, Negeri Sembilan, Melaka, Pulau Pinang, and Sarawak (34-62 per 1,000 women aged 40-74 years in 2012, and 39- 67 women aged 40-74 years in 2013) [Table 2.3 and Table 2.4]. Except for Sarawak, in which availability of mammogram machines was near that of the national average; each of the remaining states recorded mammogram machine availability that was higher than the national average [Table 2.1]. In contrast, over the two-year period, four states (Kelantan, Sabah & WP Labuan, Perlis, and Terengganu) consistently showed estimated screening rates of below 10 per 1,000 women aged 40- 74 years [Table 2.3 and Table 2.4]. Kelantan and Sabah & WP Labuan each reported low availability of mammogram machines compared with the national average, while Perlis and Terengganu each observed availability that was approximate to the national average [Table 2.1].

Nonetheless, we acknowledge that influences on the screening rate are multifactorial. For example, in areas that are more urbanised, and have denser population; health promotion can more effectively reach the masses; therefore may encourage a higher uptake of screening mammography. Moreover, areas with higher population density and urbanisation level may lead to higher mammogram machine availability due to higher health demands, and in turn promote higher screening rates. Besides that, cultural influences also exist, which may affect receptiveness of certain populations to screening mammography. We take note that Selangor, WP Putrajaya, WPKL, Pulau Pinang, and Melaka are among the most densely populated areas (493-6,891 persons per square kilometre) with urbanisation level of each state exceeding the national average of 71% 8. In contrast, Kelantan, Sabah, and Terengganu are among the least densely populated areas (44-102 persons per square kilometre) with urbanisation level below 71% each8.

In principle, the rate of screening mammography increased over time (2012-2013); although we noted a few states that observed dissimilar pattern. For example, Pulau Pinang saw a decrease in screening mammography (from 62 to 49 per 1, 000 women aged 40-74 years), despite an increasing availability of mammogram machines. We also found Negeri Sembilan to observe decreasing screening rate (from 55 to 47 per 1, 000 women aged 40-74 years), however with mammogram machine availability remaining almost unchanged. An interesting finding is that Kelantan observed a four-fold increase in screening rate with similar mammogram machine availability over the two years; notwithstanding its low availability of mammogram machines compared with the national average. [Table 2.1, Table 2.3, and Table 2.4]

Internationally, screening rate for mammography is reported as percentage of women aged 50-69 years screened. OECD countries reported an average of 61.5% of women aged 50-69 years screened in 20112. Most developed nations have population-based screening mammography programmes, for which target screening rates are set. According to the European Union9 guidelines, the desirable target screening rate of such programmes is 75%, and the acceptable target is 70%. In Malaysia, population-based screening mammography programme is not yet available, therefore such target screening rate would be inapplicable. However, our attempt in estimating the screening rate for our target population under current practice may provide a baseline assessment for future planning.

Limitation: 1. Our data features mammography facilities and activities specific to hospital settings, thereby may not represent the national scenario. The country has stand-alone diagnostic centres and screening programmes running outside the hospital settings e.g. a. The subsidised screening mammography programme organised by the National Population and Family Development Board (Lembaga Penduduk dan Pembangunan Keluarga Negara

24 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

(LPPKN)), which may involve hospital and non-hospital settings10 b. Mobile breast screening programme organised by the National Cancer Council (Majlis Kanser Negara (MAKNA))11 c. Screening mammography services offered by the Cancer & Health Screening Clinic of the National Cancer Society Malaysia (NCSM)12

References: 1. World Health Organization. Global Health Observatory Data Repository, Total density per million females aged from 50 to 69 years old: Mammography units [Internet]. Geneva: World Health Organization; 2014 [cited 2014 Oct 16]. Available from: http://apps.who.int/gho/data/ node.main.510?lang=en. 2. Organisation for Economic Cooperation and Development. Health at a Glance 2013: OECD Indicators., Mammography screening in women aged 50-69, 2001 to 2011 (or nearest year) [Internet]. Organisation for Economic Cooperation and Development; 2013 [cited 2014 Oct 16]. Available from: http://www.oecd-ilibrary.org/social-issues-migration-health/health-at-a- glance-2013/mammography-screening-in-women-aged-50-69-2001-to-2011-or-nearest-year_ health_glance-2013-graph117-en. 3. Ministry of Health Malaysia, Academy of Medicine Malaysia. Clinical Practice Guidelines Management of Breast Cancer. 2nd ed. Putrajaya; 2010 [cited 2014 Oct 16]. Available from: http://www.acadmed.org.my/index.cfm?&menuid=67. 4. GCC Lim, Y Halimah, editors. Second Report of the National Cancer Registry. Cancer Incidence in Malaysia 2003. National Cancer Registry. Kuala Lumpur 2004. [cited 2015 Jan 29]. Available from http://www.crc.gov.my/wp-content/uploads/documents/report/2nd%20National%20 Cancer%20Registry.pdf 5. Omar ZA, Mohd Ali Z, Ibrahim Tamin NS, editors. Malaysian Cancer Statistics- Data and Figure Peninsular Malaysia 2006. National Cancer Registry, Ministry of Health Malaysia. Putrajaya 2006. [cited 2015 Jan 29]. Available from http://www.moh.gov.my/images/gallery/Report/ Cancer/MalaysiaCancerStatistics_2006.pdf 6. Institute for Public Health (IPH). National Health and Morbidity Survey 2011 (NHMS 2011). Vol. 1: Methodology and General Findings. Kuala Lumpur; 2011 [cited 2015 Jan 29]. 7. Institute for Public Health (IPH). National Health and Morbidity Survey 2011 (NHMS 2011). Vol. III: Healthcare Demand And Out-of-Pocket Health Expenditure. Kuala Lumpur; 2011 [cited 2015 Jan 29]. 8. Department of Statistics Malaysia. Population Distribution and Basic Demographic Characteristics 2010. Putrajaya; 2010 [cited 2015 Feb 2]. Available from http://www.statistics. gov.my/portal/download_Population/files/census2010/Taburan_Penduduk_dan_Ciri-ciri_ Asas_Demografi.pdf 9. Perry N, Broeders M, de Wolf C, Tornberg S, Holland T, von Karsa L, editors. European Guidelines for Quality Assurance in Breast Cancer Screening and Diagnosis. 4th ed. Luxembourg: Office for Official Publications of the European Communities; 2006 [cited 2014 Dec 08]. Available from http://www.euref.org/european-guidelines. 10. National Population and Family Development Board. Garis Panduan Pelaksanaan Program Subsidi Ujian Mamogram LPPKN. Kuala Lumpur; 2007 [cited 2015 Jan 29]. Available from http://www.lppkn.gov.my/index.php?view=download&alias=92-garis-panduan-pelaksanaan- program-subsidi-ujian-mamogram-lppkn&category_slug=emamogram&option=com_ docman&Itemid=558&lang=en 11. Majlis Kanser Negara [Internet]. Kuala Lumpur: Majlis Kanser Negara; [cited 2015 Feb 2]. Available from http://makna.org.my/services/mobile-screening/ 12. National Cancer Society Malaysia [Internet]. Kuala Lumpur: National Cancer Society Malaysia; [cited 2015 Feb 2]. Available from http://www.cancer.org.my/centres/cancer-health-screening- clinic/

Special Acknowledgement: We would like to express our utmost appreciation to Dr. Evelyn Ho (Consultant Clinical Radiologist) who provided us with invaluable insights during the revision process of this chapter. MEDICAL DEVICE (MAMMOGRAM MACHINE) HOSPITAL CHAPTER 2:

25 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 - ­ - ­ - ­ - ­ - ­ - ­ ­ - ­ - ­ -

- ­ ------­ -

- - ­ ­ ­ ­ ­ ­ ­ ­ ­ 36.93 27.03 29.13 28.90 44.15 30.21 40.68 98.36 57.30 303.03 PMP years) (women aged 40-74 (women - ­ - ­ - ­ - ­ ­ - ­ - - ­ - ­ - ­ - ­ - ­

- - - - ­ - ­ - - - ­ - ­

­ ­ ­ ­ ­ 71.51 48.54 54.12 53.50 83.27 53.12 84.04 666.67 201.52 118.17 PMP 2013 years) (women aged 50-69 (women 1 1 5 4 9 6 4 2 6 6 8 2 2 5 na na 52 98 10 10 12 12 22 30 20 25 15 42 57 150 Number - ­ - ­ - ­ - ­ ­ - ­ - ­ - ­ - - ­ - ­ - ­ - ­

- ­ - ­

- ­ - ­ -

- - - ­ ­ ­ ­ 36.85 27.03 29.69 29.40 38.37 30.50 42.58 91.99 53.78 322.58 PMP Total Mammogram Machines Mammogram Total years) (women aged 40-74 (women - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 72.22 49.26 56.07 55.31 72.89 54.55 88.85 714.29 191.11 119.38 PMP 2012 years) (women aged 50-69 (women 1 1 5 4 9 6 4 2 8 6 6 8 2 2 6 na na 53 93 10 10 12 22 30 17 23 16 39 55 146 Number Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Table 2.1: Number & Density of Mammogram Machines in Acute Curative Hospitals in Malaysia by State & Sector, 2012-2013 State & Sector, by Hospitals in Malaysia Acute Curative in Machines 2.1: Number & Density of Mammogram Table State Malaysia Malaysia Malaysia Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WPKL WPKL WPKL Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Abbreviation: - not available; na - not applicable; PMP - Per Million Population Million Population na - not applicable; PMP Per Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. * Public sector refers to MOH, University TableA3.4 A3.3 & Table Appendix 3: population data, please refer For

26 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 0 50.31 54.01 29.15 29.11 28.39 12.78 37.89 11.55 11.23 PMP years) (women aged 40-74 (women - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 0 90.60 56.17 52.86 54.20 23.66 73.86 25.66 24.97 100.86 PMP 2013 years) (women aged 50-69 (women 2 6 8 2 5 7 5 9 3 3 6 3 1 4 2 1 3 4 9 2 2 4 0 0 2 2 4 na 14 13 Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 0 51.31 54.90 31.78 29.75 28.96 13.02 35.33 12.10 11.76 PMP Total Mammogram Machines Mammogram Total years) (women aged 40-74 (women - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 0 94.12 61.93 55.00 56.26 24.47 69.20 27.17 26.44 104.01 PMP 2012 years) (women aged 50-69 (women 2 6 8 2 5 7 5 3 3 6 3 1 4 2 1 3 4 8 2 2 4 0 0 2 2 4 na 10 15 12 Number Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Table 2.1 [continued]: Number & Density of Mammogram Machines in Acute Curative Hospitals in Malaysia by State & Sector, 2012-2013 State & Sector, by Hospitals in Malaysia Acute Curative in Machines 2.1 [continued]: Number & Density of Mammogram Table State HOSPITAL MEDICAL DEVICE (MAMMOGRAM MACHINE) HOSPITAL Negeri Sembilan Negeri Sembilan Negeri Sembilan Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Abbreviation: - not available; na - not applicable; PMP - Per Million Population Million Population na - not applicable; PMP Per Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. * Public sector refers to MOH, University TableA3.4 A3.3 & Table Appendix 3: population data, please refer For CHAPTER 2:

27 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 na na 22.34 76.64 65.68 43.62 43.62 51.39 71.32 67.72 49.88 71.32 66.71 10.45 71.10 63.56 13.94 84.18 68.44 32.51 66.55 59.78 31.97 31.97 11.96 75.85 60.59 20.99 71.61 59.76 Percentage Percentage out of total mammography mammography performed (%) 2013 na na 212 212 276 449 400 400 9,109 1,035 6,504 7,539 1,247 6,504 7,751 9,394 9,843 2,114 1,174 3,688 13,217 13,493 17,431 19,545 23,728 24,902 41,159 44,847 123,624 132,733 Number na na 9.89 19.76 75.06 63.16 36.47 36.47 46.62 72.65 67.56 44.73 72.65 66.23 76.74 69.66 14.03 85.62 66.15 29.47 64.83 57.02 31.55 31.55 10.41 73.46 56.16 18.06 69.86 56.05 Percentage Percentage out of total mammography mammography performed (%) Screening Mammography Performed Screening Mammography 2012 na na 155 155 863 247 424 360 360 7,463 5,538 6,401 1,018 5,538 6,556 6,919 7,343 1,615 1,061 3,036 16,205 16,452 12,530 14,145 19,800 20,861 32,330 35,366 103,451 110,914 Number ------49.69 13.14 36.03 33.58 79.42 36.21 44.68 75.42 189.55 160.10 Per 1,000 Per population 40-74 years) (women aged (women 2013 na na 486 486 2,014 9,119 2,500 9,119 2,640 3,222 6,503 1,251 1,251 9,816 40,772 11,133 11,619 18,590 21,230 11,159 14,381 26,191 32,694 31,283 41,099 17,570 57,474 75,044 161,302 202,074 Number ------44.38 11.49 31.26 29.11 90.62 28.21 35.34 61.89 184.03 149.01 Malaysia by State & Sector, 2012-2013 State & Sector, by Malaysia Per 1,000 Per population 40-74 years) (women aged (women Total Mammography Performed Performed Mammography Total 2012 na na 425 425 1,851 7,623 9,474 2,276 7,623 9,899 2,498 3,018 8,081 5,480 1,141 1,141 37,765 21,118 23,616 11,099 19,327 24,807 10,192 26,955 37,147 16,813 46,282 63,095 137,832 175,597 Number Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 2.2: Number & Density of Total Mammography Performed, and Number & Percentage of Screening Mammography Performed in Acute Curative Hospitals in Acute Curative in Performed of Screening Mammography and Number & Percentage Performed, Mammography Total 2.2: Number & Density of Table Malaysia Malaysia Malaysia Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WPKL WPKL WPKL Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Million Population na- not applicable; PMP- Per Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. * Public sector refers to MOH, University TableA3.4 Appendix 3: population data, please refer For

28 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 - na na na 19.91 87.83 76.36 22.63 73.53 67.88 10.12 72.03 62.68 31.39 98.15 86.41 77.80 59.95 33.20 80.82 54.44 10.13 97.17 79.11 18.46 73.99 67.17 18.46 73.99 67.17 Percentage Percentage out of total mammography mammography performed (%) - 2013 na na na 72 72 336 327 365 442 374 733 373 7,289 7,625 8,514 8,841 6,475 6,917 1,160 1,160 1,107 2,061 2,133 2,061 2,133 14,616 14,981 13,662 14,035 Number - na na na 15.96 93.62 81.78 26.02 58.35 53.55 10.30 62.71 52.25 26.81 97.83 83.94 71.12 68.57 17.78 51.89 28.54 10.44 84.65 71.73 23.03 74.31 68.53 23.03 74.31 68.53 Percentage Percentage out of total mammography mammography performed (%) Screening Mammography Performed Screening Mammography - 2012 na na na 89 89 260 356 335 340 899 899 102 137 239 357 8,477 8,737 4,577 4,933 8,188 8,523 5,102 5,442 2,254 2,343 2,254 2,343 13,724 14,081 Number ------na na na 8.66 9.17 8.91 62.80 49.26 38.84 13.73 50.74 100.49 Per 1,000 Per population 40-74 years) (women aged (women 2013 na na na 444 907 390 390 1,686 8,299 9,985 1,445 3,611 1,408 6,597 8,005 1,491 1,935 1,126 2,033 3,683 2,785 3,175 2,785 3,175 11,579 13,024 20,290 23,901 14,059 17,742 Number ------na na na 9.49 3.63 68.53 72.25 34.56 32.14 57.79 10.34 10.05 Per 1,000 Per population 40-74 years) (women aged (women Total Mammography Performed Performed Mammography Total Hospitals in Malaysia by State & Sector, 2012-2013 State & Sector, by Hospitals in Malaysia 2012 na na na 47 573 264 837 385 385 1,628 9,055 1,368 7,844 9,212 3,256 1,268 5,215 6,483 1,264 1,311 3,418 3,033 3,418 3,033 3,418 10,683 13,058 16,314 16,212 19,630 Number Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL MEDICAL DEVICE (MAMMOGRAM MACHINE) HOSPITAL Table 2.2 [continued]: Number & Density of Total Mammography Performed, and Number & Percentage of Screening Mammography Performed in Acute Curative Acute Curative in Performed of Screening Mammography and Number & Percentage Performed, Mammography Total 2.2 [continued]: Number & Density of Table Negeri Sembilan Negeri Sembilan Negeri Sembilan Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Million Population na- not applicable; PMP- Per Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. * Public sector refers to MOH, University TableA3.4 Appendix 3: population data, please refer For CHAPTER 2:

29

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 population

na Per 1,000 female female 1,000 Per 1.07 6.77 3.94 9.86

10.07 44.74 29.91 20.23 39.59 58.57 53.53 30.17 15.77 62.72 18.69 20.55 31.50

109.70 219.60 female population ‡ population female 9

15 55 22 na Estimated number in in number Estimated 143 859 332 520 301 533 863 448 400 390 143

70-74 years

2,157 1,273 1,004 6,766 population

na Per 1,000 female female 1,000 Per

3.12 0.32 2.18 8.73 6.21 7.82 5.15 6.34 7.02 1.26 9.50 3.05

13.41 11.77 18.77 14.21 30.82 93.60 19.01 female population ‡ population female 6 9 4

na 61 23 61 Estimated number in in number Estimated 366 141 222 128 227 920 542 368 191 428 170 166 65-69 years

2,884 population

na Per 1,000 female female 1,000 Per 4.93 0.51 3.50 8.97 7.79 9.16 1.89 4.81

20.92 12.49 17.71 26.45 19.75 45.63 67.20 10.65 29.06 10.10 14.05 female population ‡ population female 9

13 50 20 na Estimated number in in number Estimated 131 131 789 305 477 276 489 792 411 921 367 358

60-64 years

1,981 1,168 6,211 population

na Per 1,000 female female 1,000 Per

6.20 6.38 0.79 5.08 3.02

32.67 20.23 13.90 29.97 39.65 31.32 68.73 45.20 17.30 13.56 48.54 14.17 15.56 22.06 female population ‡ population female

27 41 18 na Estimated number in in number Estimated 265 265 102 615 963 557 987 830 741 723 55-59 years

1,591 3,996 2,357 1,598 1,859

12,533 population

na Per 1,000 female female 1,000 Per 8.18 8.41 1.19 7.40 4.95

50.47 30.57 21.71 47.55 63.38 45.43 51.36 24.69 22.81 78.76 22.81 25.00 33.64 105.04 female population ‡ population female

51 77 33 na Estimated number in in number Estimated 501 501 192 50-54 years

3,013 1,165 1,824 1,056 1,870 7,568 4,464 3,027 1,571 3,521 1,403 1,370

Age Group of Female Population Age Group of Female 23,736 population

na Per 1,000 female female 1,000 Per 7.25 7.47 1.23 7.45 5.12 49.11 32.46 21.40 46.26 68.37 40.80 91.24 57.84 22.38 24.24 78.20 23.44 25.67 32.75

Screening Mammography Performed, 2012 Performed, Screening Mammography female population ‡ population female

58 87 37 na Estimated number in in number Estimated 565 565 217 45-49 years

3,393 1,312 2,054 1,189 2,106 8,523 5,028 3,409 1,770 3,965 1,580 1,543

26,730 population

na Per 1,000 female female 1,000 Per

6.61 6.80 1.37 8.21 6.02

49.10 36.02 21.45 49.88 76.66 38.63 90.64 54.40 20.84 27.74 78.92 25.29 27.42 33.27 female population ‡ population female

65 98 42 na Estimated number in in number Estimated 637 637 245 40-44 years

3,830 1,480 2,318 1,342 2,377 9,620 5,674 3,847 1,997 4,475 1,783 1,741

30,169 population

na Per 1,000 female female 1,000 Per

6.77 6.96 1.02 6.40 4.12

40.75 26.52 17.75 38.03 55.09 34.10 82.26 57.08 19.81 18.35 62.06 18.95 20.76 27.55 female population ‡ population female

na

235 884 354 152 Estimated number in in number Estimated 40-74 years 2,303 2,303 5,349 8,379 4,849 8,589 7,218 6,445 6,292 13,841 34,765 20,506 13,904 16,172 109,028

na Number* Number* 239 899 360 155 2,343 2,343 5,442 8,523 4,933 8,737 7,343 6,556 6,401 14,081 35,366 20,861 14,145 16,452 110,914 State Sabah & WP Labuan Sabah & WP Labuan Sabah Sarawak Kelantan Terengganu Pahang Johor Melaka Negeri Sembilan Selangor & WP Putrajaya & WP Putrajaya Selangor & WPKL WPKL WP Putrajaya Selangor Perak Pulau Pinang Kedah & Perlis Kedah Kedah Perlis Malaysia Table 2.3: Estimated Number & Density of Screening Mammography Performed for Women Aged 40-74 Years, in Acute Curative Hospitals in Malaysia by State, 2012 ‡ by Hospitals in Malaysia Acute Curative in Years, Aged 40-74 Women for Performed 2.3: Estimated Number & Density of Screening Mammography Table Abbreviation: - not available; na- not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & as captured via the NHEWS (Hospital) 2012-2013 survey. *Refers to the total number of screening mammography in the NHMS 2011 (please refer to applied the proportion observed having age groups, out of the total screening mammography; of the respective performed on women ‡ Refers to the estimated number of screening mammography text for further description). A3.11 Table A3.4 until Table Appendix 3: population data, please refer For

30

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 population

na Per 1,000 female female 1,000 Per 8.73 4.89 8.74 5.62 8.56

42.17 39.43 35.98 71.91 52.26 67.55 42.13 21.99 51.12 23.18 25.41 37.80

125.54 244.00 population ‡ population

na number in female female in number 68 71 24 13

130 856 422 914 539 465 600 823 473 460 130

70-74 years

Estimated Estimated 2,736 1,519 1,192 8,097 population

na Per 1,000 female female 1,000 Per 2.76 1.43 2.77 9.55 6.35 7.05 7.75 1.67 2.69

12.85 10.05 10.09 19.32 15.13 16.17 34.44 14.50 10.56

104.00 population ‡ population

6

na number in female female in number 55 29 30 10 55

365 180 390 230 198 647 508 256 351 202 196

65-69 years

Estimated Estimated 1,166 3,451 population

na

Per 1,000 female female 1,000 Per 4.19 2.31 4.33 2.53 4.08

20.05 15.62 15.17 31.53 21.90 24.50 52.03 74.67 14.52 10.30 23.25 10.38 11.38 16.30 population ‡ population

na number in female female in number 62 65 22 12

119 786 387 839 495 427 551 756 434 422 119

60-64 years

Estimated Estimated 2,511 1,395 1,094 7,433 population

na

Per 1,000 female female 1,000 Per 5.34 3.47 6.18 4.06 5.20

31.72 24.43 23.35 51.76 33.14 37.57 78.16 41.09 22.58 17.74 38.60 16.13 17.60 25.22 population ‡ population

na number in female female in number 45 24

241 125 131 782 999 862 876 852 241

55-59 years

Estimated Estimated 1,586 1,693 5,068 2,814 2,209 1,112 1,525

14,999 population

na Per 1,000 female female 1,000 Per 7.34 5.40 9.30 6.77 7.13

48.60 38.15 37.54 84.09 54.94 55.48 57.07 32.73 30.35 63.46 26.67 29.07 39.29

121.95 population ‡ population

na number in female female in number 86 45 456 237 248

456

50-54 years

Estimated Estimated 3,004 1,480 3,206 1,892 1,632 9,597 5,329 4,183 2,106 2,887 1,659 1,613 Age Group of Female Population Age Group of Female

28,405 population

na Per 1,000 female female 1,000 Per 6.54 5.66 9.57 6.90 6.35

47.84 41.47 36.51 80.10 59.66 49.51 60.25 29.81 32.23 62.41 27.23 29.69 38.22

Screening Mammography Performed, 2013 Performed, Screening Mammography 102.24 population ‡ population

na number in female female in number 96 51

514 267 280 514

45-49 years

Estimated Estimated 3,382 1,667 3,611 2,131 1,838 6,001 4,710 2,372 3,252 1,868 1,817

10,808 31,989 population

na Per 1,000 female female 1,000 Per 5.98 6.41 8.61 5.81

48.14 10.59 45.12 37.35 92.14 66.90 48.08 57.26 27.80 38.03 63.94 30.08 32.34 39.44

111.77 population ‡ population

na number in female female in number 58

580 580 301 316 109

40-44 years

Estimated Estimated 3,818 1,881 4,075 2,405 2,074 6,773 5,316 2,677 3,670 2,108 2,051

12,198 36,103 population

na

Per 1,000 female female 1,000 Per 5.89 6.05 4.64 8.09 5.63

39.45 32.99 30.35 67.06 47.14 44.31 95.36 59.58 26.26 24.36 49.62 22.02 23.98 32.08 population ‡ population

na

number in female female in number 393 208

40-74 years Estimated Estimated 2,096 2,096 1,088 1,140 6,799 8,691 7,495 9,675 7,619 7,411 13,797 14,727 44,085 24,479 19,212 13,263 130,477 na

400 212 Number* Number* 2,133 2,133 1,107 1,160 6,917 8,841 7,625 9,843 7,751 7,539 14,035 14,981 44,847 24,902 19,545 13,493 132,733 HOSPITAL MEDICAL DEVICE (MAMMOGRAM MACHINE) HOSPITAL State Sabah & WP Labuan Sabah & WP Labuan Sabah Sarawak Kelantan Terengganu Pahang Johor Melaka Negeri Sembilan Selangor & WP & WPKL Putrajaya WPKL WP Putrajaya Selangor Perak Pulau Pinang Kedah & Perlis Kedah Kedah Perlis Malaysia Table 2.4: Estimated Number & Density of Screening Mammography Performed for Women Aged 40-74 Years, in Acute Curative Hospitals in Malaysia by State, 2013 ‡ by Hospitals in Malaysia Acute Curative in Years, Aged 40-74 Women for Performed 2.4: Estimated Number & Density of Screening Mammography Table Abbreviation: - not available; na- not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & as captured via the NHEWS (Hospital) 2012-2013 survey. *Refers to the total number of screening mammography in the NHMS 2011 (please refer to applied the proportion observed having age groups, out of the total screening mammography; of the respective performed on women ‡ Refers to the estimated number of screening mammography text for further description). A3.11 Table A3.4 until Table Appendix 3: population data, please refer For CHAPTER 2:

31 This page intentionally left blank Chapter 3 : Hospital Activities National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

CHAPTER 3 | HOSPITAL ACTIVITIES

Inpatient Activities There were around 3.5 million hospital admissions per year in 2012 and 2013 each. The number of hospital admissions observed an increasing pattern over time; although the increase between 2011 and 2012 was higher (4.7%) than the increase between 2012 and 2013 (2.3%). Hospital admission density observed an overall increase of 1.1% between 2012 and 2013 (117.94 to 119.23 per 1,000 population). Terengganu, Kelantan, Negeri Sembilan, and Johor saw the highest increase (4.5%-5.8%) of admissions per population. However seven states showed a decreasing pattern of admission density (Perlis, Kedah, Pulau Pinang, Perak, WP Putrajaya, Melaka, and Sarawak). Admissions to the public hospitals held a proportion of 72.3% out of total admissions in 2011. In subsequent years, the proportion dropped to 70.9% in 2012, and 70.8% in 2013. Generally, the public hospitals experienced 2.5 times more admissions per day than the private hospitals. [Table 3.1]

Mean average length of stay (ALOS) over the past three years has maintained at 3.5 days. Overall, ALOS was a day longer in the public hospitals (3.8 days) than in the private hospitals (2.8 days). Top three states with the longest mean ALOS were WP Putrajaya (4.4 days), WP Kuala Lumpur (4.2 days), and Sarawak (3.9 days); main contribution being from the public hospitals in each state i.e. 4.4 days, 4.9 days, and 4.2 days respectively [Table 3.2]. As would be expected, specialist hospitals recorded the longest mean ALOS (around 3.6 days) while maternity centres recorded the shortest mean ALOS (around 2.3 days) [Table 3.3].

On average, bed occupancy rate (BOR) during 2011-2013 period remained at 67%-68%. Over the time frame of 2012-2013, the public hospitals had an increase of 0.6% in mean BOR, while the private hospitals showed an increase of 2.3%. Between 2012 and 2013, three states had the highest increment of mean BOR: Negeri Sembilan (6.9%), Pahang (6.0%), and Terengganu (5.4%). The remaining states observed an increase of mean BOR ranging from 0.2% to 2.7% [Table 3.2]. Specialist hospitals especially from the public sector had the highest mean BOR compared with other hospital types. An interesting observation is that mean BOR of public specialist hospitals remained almost unchanged over time (2011-2013) while that of public non-specialist hospitals demonstrated a decreasing pattern. Once again, we highlight the finding of underutilisation of public non-specialist hospitals; reiterating our past reports. Kedah tops the list with the highest public specialist hospitals mean BOR for both 2012 (88.1%) and 2013 (90.1%). Public specialist hospitals of five other states (Pulau Pinang, Selangor, Melaka, Johor, and Terengganu) also observed mean BORs above national average for two consecutive years (2012-2013). [Table 3.4]

Overall turnover interval (TOI) remained unchanged (around 1.7 days) for the past three years. Mean TOI for the public hospitals was shorter (around 1.6 days) compared with the private hospitals (around 2.0 days) [Table 3.2]. This reflects on the higher number of admissions, and longer ALOS in the public hospitals. Among the three hospital categories, maternity centres had the longest mean TOI (3.5 days in 2012, and 4.5 days in 2013) compared with non-specialist hospitals (about 3 days), and specialist hospitals (about 1.5 days). Public specialist hospitals of six states recorded mean TOIs below national average for both 2012 and 2013 (Perlis, Kedah, Pulau Pinang, Selangor, Johor, and Terengganu) [Table 3.5]. Consistently, five out of those six states also recorded mean BORs above national average.

Outpatient Activities Under this section of hospital activity, we gathered data on total visits per year in different hospital outpatient settings: emergency department (ED), general outpatient department (OPD), and specialist clinic. Overall, outpatient activities surpassed inpatient activities ninefold in 2012 and 2013. The year 2012 and 2013 each reported a total of 32-33 million hospital outpatient visits per year. We observed that in both years, nearly half (49%) of all hospital outpatient visits were made to the specialist clinics. The remaining half showed a slightly higher proportion of ED visits (28%) over

34 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 general OPD visits (23%). Such observation may be explained by follow-up visits. Although EDs and general OPDs do see patients repeatedly for similar bouts of illness (e.g. for a repeat full blood count in dengue fever); follow-up visits for chronic diseases are unique to specialist clinics, hence may be the contributory factor to the larger volume of outpatient visits received by such a setting. Nonetheless, we saw an apparent strain on public hospital EDs and general OPDs for both 2012 and 2013, in that most ED visits (81.5-82.9%) and general OPD visits (72.4-73.6%) occurred in the public hospitals. However, sector distribution of specialist clinic visits showed that both public and private hospitals shared almost equal proportions i.e. around 53.0% versus 47.0%. Over the two- year duration, general OPD visits increased the highest (2.6%), followed by ED visits (2.3%), and then specialist clinic visits (1.6%). [Table 3.6]

With regards to ratio of ED visits to population; Pulau Pinang, WP Labuan, and Negeri Sembilan topped the list with about 400-525 visits per 1,000 population for both years. Meanwhile, the states with bottom three ED visits were Sarawak, Terengganu, and Sabah with around 240-260 visits per 1,000 population. We noted WP Putrajaya to have an outlier value of about 780 ED visits per 1,000 population although the federal territory had only one ED in its sole hospital. An explanation to this is that the proximity of the three states (Selangor, WP Putrajaya, and WP Kuala Lumpur) that make up the central region of Peninsular Malaysia may lead to WP Putrajaya covering a population much larger than its own. Accounting for this factor, we demonstrated that ED visits per 1,000 population in the central region amounted to 310-320 i.e. close to national average of 310-315. However our data highlights that mismatch of resources and utilisation may be a concern in WP Putrajaya. [Table 3.6]

National average of general-OPD-visits-to-population was around 250 per 1,000 population for 2012 and 2013. The top three visits per 1,000 population (ranging 330-500) were observed in Perak, Pulau Pinang, and Sarawak [Table 3.6]. Most of these general OPD visits occurred in the public hospitals as most private hospitals did not offer general OPD service. Some public hospitals also did not provide general OPD service e.g seven out of 11 public hospitals in Johor; and all public hospitals in Perlis, WP Putrajaya, and WP Labuan. Nonetheless, such a service was available in public primary care centres, although such output is not captured in this survey.

Overall, the number of specialist clinic visits was higher in the public hospitals than the private hospitals. However the private hospitals received a larger share of visits compared to the public hospitals in Pulau Pinang, Melaka, and the collective states of Selangor, WP Putrajaya and WP Kuala Lumpur. These states also saw the highest specialist clinic visits per 1,000 population. [Table 3.6]

We attempted to illustrate specialist clinic visits by the breakdown of specialties but can only do so for the public hospitals [Table 3.7 and Table 3.8]. Private hospitals were unable to provide such data. We found that a miscellaneous group of subspecialty clinics (e.g. , respiratory, , etc) made up 31.0% of the public specialist clinic visits. Discounting this, we observed that general medicine, orthopaedic and ophthalmology clinics made up the largest proportion of public specialist clinic visits i.e. 19.0%, 15.0%, and 15.0% respectively. General surgery and O&G clinics had equal share of 12.0%, followed by ENT clinic at 9.0%. Paediatric and psychiatry clinics each contributed 8.0%, while oncology clinic had the smallest share (2.0%) of all public specialist clinic visits.

Limitation: 1. Only interstate comparison is made available, and this does not necessarily reflect the intrastate scenario. A state that fared lesser than the national average may have some hospitals performing on par with said average, and vice versa. 2. Interpretation of activities-to-population ratio should be made with caution as service provision

in one state is utilised not exclusively by its population, rather may also cater to other population. ACTIVITIES HOSPITAL A case in point is WP Putrajaya, as we have discussed earlier. 3. A large proportion of private hospitals does not record breakdown of specialist clinic visits by

specialty, therefore this data could not be captured. CHAPTER 3:

35 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

na na Rate per Day per Rate 85.76 85.76 67.37 67.37 526.13 119.48 645.61 611.89 119.48 731.37 360.88 404.72 765.60 621.05 231.65 852.70 906.94 755.63 590.65 478.52 6,864.21 2,835.99 9,700.20 1,662.57 1,069.17 1,564.96 1,234.15 2,799.11

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population per 1,000 1,000 per 2013 119.23 129.76 116.67 118.07 171.72 127.83 106.07 298.25 225.47 135.60

na na Number 31,324 31,324 43,639 43,639 84,612 24,606 24,606 192,169 235,808 223,493 267,132 131,812 147,822 279,634 226,838 311,450 331,260 275,995 607,255 215,736 174,778 390,514 571,602 450,773 2,507,151 1,035,846 3,542,997 1,022,375 -

na Rate per Day per Rate 89.40 89.40 68.75 68.75 525.48 119.91 645.39 614.88 119.91 734.79 377.48 433.20 810.68 629.12 222.97 852.09 893.42 710.71 586.85 458.44 6,720.60 2,752.28 9,472.88 1,604.13 1,045.29 1,549.02 1,169.15 2,718.17

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population

na per 1,000 1,000 per 2012 117.94 136.40 118.05 120.02 183.79 128.78 103.69 316.27 222.83 133.38 Admissions -

na Number 32,653 32,653 43,797 43,797 81,442 25,112 25,112 191,932 235,729 224,585 268,382 137,875 158,225 296,100 229,786 311,228 326,322 259,585 585,907 214,347 167,445 381,792 565,781 427,030 992,811 2,454,698 1,005,270 3,459,968

na na Rate per Day per Rate 81.37 81.37 67.01 67.01 509.58 122.16 631.74 590.95 122.16 713.11 385.84 326.55 712.39 615.93 162.97 778.91 849.42 669.59 563.98 485.40 6,523.04 2,504.52 9,027.56 1,519.01 1,049.38 1,480.41 1,154.99 2,635.40

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population per 1,000 1,000 per 99.48 2011 113.84 125.14 116.94 117.83 163.28 118.66 320.37 226.19 130.99

na na Number 29,721 29,721 44,620 44,620 59,527 24,476 24,476 914,778 186,124 230,744 215,845 260,465 140,929 119,272 260,201 224,969 284,496 310,249 244,568 554,817 205,994 177,291 383,285 540,719 421,859 962,578 3,297,318 2,382,540 Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 3.1: Number & Density of Admissions, and Rate of Admission Per Day in Acute Curative Hospitals in Malaysia by State & Sector, 2011-2013 State & Sector, by Hospitals in Malaysia Acute Curative in Day Admission Per Admissions, and Rate of 3.1: Number & Density of Table Malaysia Malaysia Malaysia Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

36 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 na

9.98 Rate per Day per Rate 55.49 46.14 88.85 29.35 17.71 17.71 29.35 287.70 151.97 439.66 237.89 161.58 399.47 822.86 302.63 392.56 448.05 341.55 351.53 453.43 499.56 512.07 600.92 639.66 669.01 657.37 686.73 1,125.49

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population per 1,000 1,000 per 85.22 71.28 69.35 71.23 2013 150.07 171.17 118.22 104.06 115.41 109.53

na Number 3,647 6,470 6,470 55,506 86,889 59,016 20,269 16,851 32,453 10,721 10,721 105,081 160,587 145,905 300,548 110,537 411,085 143,382 163,651 124,750 128,397 165,615 182,466 187,035 219,488 233,636 244,357 240,106 250,827 na

8.47 Rate per Day per Rate 53.80 42.23 95.28 28.56 17.37 17.37 28.56 277.24 136.01 413.25 235.03 160.18 395.21 781.05 282.52 374.00 427.80 316.86 325.33 426.12 468.36 507.20 602.48 615.23 643.78 632.60 661.16 1,063.57

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population per 1,000 1,000 per 86.44 69.74 69.28 69.73 2012 142.90 171.33 112.94 100.91 108.73 104.28 Admissions

na Number 3,095 6,346 6,346 49,678 85,844 58,505 19,652 15,425 34,800 10,431 10,431 101,262 150,940 144,349 285,278 103,190 388,468 136,602 156,254 115,732 118,827 155,642 171,067 185,254 220,054 224,711 235,142 231,057 241,488 na

7.59 Rate per Day per Rate 49.68 40.00 90.43 27.53 16.99 16.99 27.53 282.09 128.62 410.71 217.50 143.46 360.96 770.40 250.53 354.65 404.34 302.19 309.78 413.69 453.70 474.97 565.40 617.42 644.95 634.41 661.94 1,020.93

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population per 1,000 1,000 per 96.85 82.07 71.03 69.12 70.98 2011 143.84 158.27 109.62 105.35 102.60

na Number 2,774 6,207 6,207 46,977 79,441 52,399 91,507 18,147 14,611 33,030 10,055 10,055 103,034 150,011 131,840 281,388 372,895 129,537 147,684 110,374 113,148 151,102 165,713 173,483 206,513 225,512 235,567 231,719 241,774 Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL ACTIVITIES HOSPITAL Table 3.1 [continued]: Number & Density of Admissions, and Rate of Admission Per Day in Acute Curative Hospitals in Malaysia by State & Sector, 2011-2013 State & Sector, by Hospitals in Malaysia Acute Curative in Day Admission Per Admissions, and Rate of 3.1 [continued]: Number & Density of Table Negeri Sembilan Negeri Sembilan Negeri Sembilan Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 3:

37 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 na na 1.6 1.9 1.1 0.9 1.9 0.9 1.9 1.2 1.7 2.3 1.7 1.0 1.8 1.0 2.5 2.9 1.6 2.2 1.68 1.13 1.06 1.07 1.48 2.12 1.38 1.04 2.68 1.87 2013 na na 1.6 2.1 1.1 1.0 2.0 1.0 2.0 1.0 1.4 2.1 1.9 1.1 2.1 0.6 2.2 3.3 1.5 2.5 1.74 1.13 1.17 1.17 1.19 2.07 1.52 0.59 2.69 1.94 2012 Mean TOI Mean TOI (Days) na na 1.6 2.0 1.4 1.0 1.8 1.1 1.8 0.9 2.0 2.0 2.0 1.2 1.8 2.0 2.3 1.5 2.0 -0.1 1.73 1.39 1.16 1.19 1.44 1.99 1.49 2.16 1.72 -0.05 2011 na na 70.8 58.9 75.9 80.7 57.1 80.0 57.1 77.5 65.4 60.7 60.4 79.1 58.5 81.1 66.5 53.3 73.1 56.0 67.65 75.91 76.33 76.28 71.39 60.60 70.24 81.07 61.18 66.17 2013 na na 70.2 56.6 75.0 78.0 54.5 77.5 54.5 80.5 70.3 62.0 57.5 77.9 54.8 87.0 69.2 49.1 74.0 52.1 66.59 75.05 73.64 73.81 75.35 61.01 67.95 87.00 61.00 65.03 2012 Mean BOR (%) na na 70.5 57.2 71.0 77.4 60.0 76.5 60.0 81.3 61.0 63.5 58.0 75.9 59.0 71.6 56.9 74.7 58.0 67.12 70.99 74.10 73.73 71.87 62.42 68.93 101.3 65.90 68.15 101.31 2011 na na 3.8 2.8 3.6 3.6 2.5 3.6 2.5 4.2 3.3 3.5 2.6 3.8 2.6 4.4 4.9 3.3 4.3 2.9 3.52 3.57 3.43 3.45 3.69 3.25 3.26 4.44 4.22 3.66 2013 2011-2013 na na 3.8 2.7 3.4 3.5 2.4 3.5 2.4 4.2 3.2 3.5 2.6 3.8 2.5 3.9 5.0 3.1 4.3 2.8 3.48 3.39 3.27 3.29 3.65 3.23 3.22 3.92 4.20 3.61 2012 Mean ALOS (Days) na na 3.8 2.7 3.4 3.5 2.6 3.5 2.6 4.1 3.2 3.4 2.8 3.8 2.6 4.2 5.2 3.0 4.4 2.8 3.53 3.40 3.32 3.33 3.67 3.30 3.30 4.20 4.18 3.67 2011 Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Malaysia Malaysia Malaysia Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Table 3.2: Mean of Average Length of Stay (ALOS), Bed Occupancy Rate(BOR), and Turnover Interval (TOI) in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative in (TOI) Interval Turnover Rate(BOR), and (ALOS), Bed Occupancy Length of Stay Average 3.2: Mean of Table Abbreviation: - na not applicable Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University

38 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 na 1.6 0.9 1.5 1.5 1.2 1.8 1.4 2.1 0.9 0.3 1.6 1.2 2.4 2.4 2.1 1.7 3.1 2.1 1.7 1.37 1.51 1.36 1.53 0.86 1.54 2.43 2.08 3.07 2.11 2013 na 2.0 1.3 1.4 1.5 1.2 2.2 1.8 2.3 1.2 0.9 1.8 1.4 2.4 1.9 2.2 1.6 3.1 2.2 1.6 1.80 1.45 1.42 1.85 1.16 1.73 2.33 2.16 3.13 2.18 2012 Mean TOI Mean TOI (Days) na 1.8 1.6 0.8 2.3 1.3 1.7 1.6 3.8 1.3 1.3 1.7 1.5 2.9 2.8 2.2 2.9 3.6 2.2 2.9 1.74 1.39 1.38 1.86 1.29 1.72 2.89 2.22 3.63 2.25 2011 na 70.0 75.5 73.2 65.4 73.8 53.8 72.3 57.9 77.8 90.8 71.4 66.0 63.4 43.9 64.3 61.5 50.0 63.9 61.5 71.49 70.55 69.04 70.56 78.06 71.02 61.43 64.16 50.05 63.78 2013 na 63.4 68.0 74.8 63.3 74.7 48.2 66.0 54.4 72.5 77.1 69.7 64.2 63.4 50.9 63.1 62.4 50.1 62.7 62.4 64.56 70.82 68.12 64.57 72.62 69.35 62.16 63.08 50.14 62.72 2012 Mean BOR (%) na 66.1 61.2 83.1 53.8 72.7 54.9 71.4 43.7 70.9 69.1 70.0 63.0 58.4 42.7 64.2 49.2 43.4 63.6 49.2 64.87 70.90 68.93 67.32 70.88 69.59 56.56 63.62 43.37 63.07 2011 na 3.8 2.8 4.1 2.8 3.4 2.1 3.8 2.9 3.1 3.0 3.9 2.4 4.2 1.9 3.8 2.7 3.1 3.8 2.7 3.43 3.61 3.03 3.66 3.05 3.77 3.87 3.73 3.08 3.71 2013 na 3.5 2.7 4.1 2.7 3.4 2.0 3.5 2.8 3.1 3.0 4.0 2.5 4.2 2.0 3.7 2.7 3.1 3.7 2.7 3.27 3.52 3.04 3.38 3.07 3.91 3.83 3.68 3.14 3.67 2012 State & Sector, 2011-2013 State & Sector, Mean ALOS (Days) na 3.5 2.5 3.8 2.7 3.4 2.1 3.9 3.0 3.1 3.0 4.1 2.5 4.1 2.1 3.9 2.8 2.8 3.9 2.8 3.20 3.38 3.07 3.83 3.14 3.93 3.76 3.88 2.78 3.85 2011 Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL ACTIVITIES HOSPITAL Table 3.2 [continued]: Mean of Average Length of Stay (ALOS), Bed Occupancy Rate (BOR), and Turnover Interval (TOI) in Acute Curative Hospitals in Malaysia by by Hospitals in Malaysia Acute Curative in (TOI) Interval Turnover Rate (BOR), and (ALOS), Bed Occupancy Length of Stay Average 3.2 [continued]: Mean of Table Negeri Sembilan Negeri Sembilan Negeri Sembilan Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Abbreviation: - na not applicable Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University CHAPTER 3:

39 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 na na na na na na na na na na na na na na 2.29 2.29 2.03 2.03 2.03 2.03 2.16 2.16 1.64 1.64 2.65 2.65 3.14 3.14 2.80 2.80 2013 na na na na na na na na na na na na na na 2.21 2.21 2.05 2.05 2.05 2.05 1.92 1.92 1.65 1.65 2.56 2.56 3.04 3.04 2.76 2.76 2012 Maternity Centre na na na na na na na na na na na na na na 2.41 2.41 2.18 2.18 2.18 2.18 1.87 1.87 1.68 1.68 3.23 3.23 2.41 2.41 3.12 3.12 2011 na na na na na na na na na na na na na na na 2.70 1.00 2.70 2.54 2.54 2.54 2.54 4.00 4.00 2.55 2.55 3.13 3.13 3.13 3.13 2013 na na na na na na na na na na na na na na na 2.70 1.00 2.70 2.41 2.41 2.41 2.41 4.01 4.01 2.59 2.59 3.06 3.06 3.06 3.06 2012 Mean ALOS (Days) na na na na na na na na na na na na na na na Non Specialist Hospital 2.82 1.00 2.82 2.39 2.39 2.39 2.39 3.59 3.59 2.64 2.64 3.51 3.51 3.51 3.51 2011 na na 4.06 2.77 3.64 3.57 3.57 3.87 2.56 3.59 3.82 2.56 3.59 4.19 3.28 3.70 3.77 2.65 3.41 3.89 2.57 3.28 4.44 4.44 4.95 3.33 4.23 4.33 2.86 3.68 2013 na na 4.00 2.71 3.59 3.39 3.39 3.70 2.42 3.43 3.64 2.42 3.42 4.16 3.28 3.68 3.71 2.62 3.37 3.81 2.53 3.24 3.92 3.92 5.03 3.15 4.22 4.29 2.77 3.64 2012 Specialist Hospital na na 4.04 2.73 3.64 3.40 3.40 3.72 2.67 3.49 3.66 2.67 3.48 4.14 3.24 3.72 3.66 2.84 3.45 3.84 2.61 3.29 4.20 4.20 5.17 3.03 4.19 4.39 2.79 3.68 2011 Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 3.3: Mean of Average Length of Stay (ALOS) in Malaysia by Categories of Acute Curative Hospitals, by State & Sector, 2011-2013 State & Sector, Hospitals, by Acute Curative Categories of by (ALOS) in Malaysia Length of Stay Average 3.3: Mean of Table Malaysia Malaysia Malaysia Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala Lumpur WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Lumpur WP Kuala & WP Putrajaya Selangor & Abbreviation: - na not applicable Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University

40 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 na na na na na na na na na na na na na na na na na na 1.79 1.79 1.89 1.89 2.23 2.23 1.00 1.00 1.49 1.49 1.49 1.49 2013 na na na na na na na na na na na na na na na na na na 1.82 1.82 1.79 1.79 2.12 2.12 1.01 1.01 1.63 1.63 1.63 1.63 2012 Maternity Centre na na na na na na na na na na na na na na na na na na na na 1.62 1.62 1.38 1.38 7.61 7.61 2.00 2.00 2.00 2.00 2011 na na na na na na na na na na na 2.78 2.78 2.88 2.88 2.24 1.00 2.24 2.68 2.68 2.36 2.36 2.72 2.72 2.84 2.84 2.97 2.97 2.97 2.97 2013 na na na na na na na na na na na 2.66 2.66 3.13 3.13 2.31 1.00 2.31 2.71 2.71 2.29 2.29 2.68 2.68 2.79 2.79 2.98 2.98 2.98 2.98 2012 Mean ALOS (Days) na na na na na na na na na na na Non Specialist Hospital 3.02 3.02 3.05 3.05 2.38 1.00 2.38 2.72 2.72 2.75 2.75 2.71 2.71 2.83 2.83 3.15 3.15 3.15 3.15 2011 na 3.93 2.79 3.50 4.27 2.85 3.66 3.58 2.09 3.15 4.08 2.92 3.91 3.32 3.00 3.31 4.31 2.41 4.08 4.48 1.87 4.04 4.17 3.12 4.12 3.08 3.08 4.12 3.12 4.08 2013 na 3.69 2.75 3.35 4.20 2.67 3.54 3.62 2.02 3.17 3.67 2.83 3.54 3.36 3.00 3.34 4.48 2.49 4.25 4.45 2.01 4.01 4.10 3.11 4.05 3.14 3.14 4.06 3.11 4.02 2012 Specialist Hospital na 3.63 2.46 3.23 3.93 2.68 3.40 3.58 2.15 3.19 4.29 3.05 4.11 3.31 3.00 3.30 4.50 2.55 4.28 4.33 2.08 3.91 4.31 2.87 4.23 2.78 2.78 4.25 2.87 4.18 2011 Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 3.3 [continued]: Mean of Average Length of Stay (ALOS) in Malaysia by Categories of Acute Curative Hospitals, by State & Sector, 2011-2013 State & Sector, Hospitals, by Acute Curative Categories of by (ALOS) in Malaysia Length of Stay Average 3.3 [continued]: Mean of Table HOSPITAL ACTIVITIES HOSPITAL Negeri Sembilan Negeri Sembilan Negeri Sembilan Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & WP Labuan Sabah & Abbreviation: - na not applicable Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University CHAPTER 3:

41 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 na na na na na na na na na na na na na na 31.48 31.48 29.21 29.21 32.81 32.81 17.87 17.87 28.28 28.28 28.93 28.93 28.93 28.93 27.70 33.78 2013 na na na na na na na na na na na na na na 35.06 35.06 40.69 40.69 31.47 31.47 19.11 19.11 33.45 33.45 32.44 32.44 32.44 32.44 31.48 38.52 2012 Maternity Centre na na na na na na na na na na na na na na 38.72 38.72 20.22 20.22 43.61 43.61 16.26 16.26 32.18 32.18 30.97 30.97 30.97 30.97 29.59 32.38 2011 na na na na na na na na na na na na na na na 0.33 39.42 39.42 39.42 42.37 39.42 54.03 42.37 46.81 54.03 46.81 46.81 46.71 46.32 46.81 2013 na na na na na na na na na na na na na na na 0.40 36.73 36.73 36.73 44.09 36.73 60.87 44.09 42.27 60.87 42.27 42.27 45.38 45.04 42.27 2012 Mean BOR (%) na na na na na na na na na na na na na na na Non Specialist Hospital 0.63 42.87 42.87 42.87 48.84 42.87 57.85 48.84 41.64 57.85 41.64 41.64 49.03 48.64 41.64 2011 na na 67.03 73.38 57.53 61.77 73.41 54.66 54.66 66.50 54.46 65.13 83.64 60.34 73.12 66.58 61.19 82.28 79.87 66.95 83.37 87.56 58.68 75.21 61.02 71.15 75.91 75.91 90.10 58.68 2013 na na 66.65 76.01 53.16 61.39 71.10 87.00 87.00 69.17 49.55 65.19 82.67 56.47 77.23 67.81 58.23 80.21 82.49 72.28 81.11 85.70 55.76 75.41 58.34 70.45 75.05 75.05 88.06 55.76 2012 Specialist Hospital na na 69.66 76.58 59.02 66.30 71.69 71.64 57.69 65.85 80.07 60.22 73.90 67.87 59.15 80.92 83.61 63.05 82.64 84.78 63.48 74.93 59.07 70.55 70.99 70.99 87.81 63.48 101.31 101.31 2011 Sector * Total Public Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Public Private Total Public Private Total Public Private Table 3.4: Mean Bed Occupancy Rate(BOR) in Malaysia by Categories of Acute Curative Hospitals, by State & Sector, 2011-2013 State & Sector, Hospitals, by Acute Curative Categories of by Rate(BOR) in Malaysia 3.4: Mean Bed Occupancy Table State Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Lumpur WP Kuala & WP Putrajaya Selangor & WP Kuala Lumpur WP Kuala Selangor WP Putrajaya WP Putrajaya WP Putrajaya Lumpur WP Kuala Lumpur WP Kuala Perak Selangor Selangor Pulau Pinang Perak Perak Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Kedah & Perlis Kedah & Perlis Kedah Malaysia Malaysia Malaysia Perlis Perlis Perlis Kedah Kedah Abbreviation: - na not applicable Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University

42 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 na na na na na na na na na na na na na na na na na na 9.44 9.44 37.61 37.61 37.61 37.61 21.40 21.40 41.31 20.37 20.37 41.31 2013 na na na na na na na na na na na na na na na na na na 7.92 7.92 48.59 48.59 48.59 48.59 20.25 20.25 40.61 24.75 24.75 40.61 2012 Maternity Centre na na na na na na na na na na na na na na na na na na na na 22.74 22.74 22.74 22.74 20.29 20.29 11.04 11.04 16.69 16.69 2011 na na na na na na na na na na na 0.33 45.82 45.82 45.82 32.23 45.82 55.67 55.91 55.91 60.15 60.15 32.23 48.25 48.25 57.26 51.70 55.67 37.90 37.90 2013 na na na na na na na na na na na 0.40 44.69 44.69 44.69 33.00 44.69 51.87 48.09 48.09 53.01 53.01 33.00 62.80 62.80 58.10 53.00 51.87 37.90 37.90 2012 Mean BOR (%) na na na na na na na na na na na Non Specialist Hospital 0.63 48.19 48.19 48.19 33.73 48.19 49.49 58.57 58.57 59.96 59.96 33.73 64.56 64.56 62.84 57.03 49.49 47.44 47.44 2011 na 72.49 73.46 50.05 50.05 72.59 69.88 68.62 73.59 69.88 74.57 87.19 90.83 87.32 74.32 65.96 73.66 71.71 45.45 76.49 65.42 72.36 76.25 62.93 73.27 76.61 61.47 77.04 77.48 76.04 2013 na 72.69 73.72 50.14 50.14 72.93 66.53 69.56 74.01 66.53 68.18 83.07 77.09 82.86 74.11 64.20 73.34 71.81 53.01 75.85 63.26 71.27 77.36 54.65 71.96 69.89 57.77 69.00 69.24 68.46 2012 Specialist Hospital na 70.90 72.07 43.37 43.37 71.90 52.64 62.07 73.18 52.64 72.25 76.26 69.09 76.02 72.44 62.99 71.71 65.00 44.01 85.24 53.79 71.32 74.31 65.03 72.43 77.40 46.66 67.48 70.07 61.24 2011 Sector * Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Public Private Total Public Private Total Public Private Total Public Private State Table 3.4 [continued]: Mean Bed Occupancy Rate (BOR) in Malaysia by Categories of Acute Curative Hospitals, by State & Sector, 2011-2013 State & Sector, Hospitals, by Acute Curative Categories of by Rate (BOR) in Malaysia 3.4 [continued]: Mean Bed Occupancy Table HOSPITAL ACTIVITIES HOSPITAL Sabah & WP Labuan Sabah & Sabah WP Labuan WP Labuan WP Labuan WP Labuan Sabah & WP Labuan Sabah & Sarawak Sabah Sabah Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Negeri Sembilan Negeri Sembilan Negeri Sembilan Abbreviation: - na not applicable Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University CHAPTER 3:

43 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 na na na na na na na na na na na na na na 5.97 4.48 4.99 4.99 4.99 4.99 5.47 5.47 7.52 7.52 5.42 5.42 7.60 7.60 6.09 6.09 2013 na na na na na na na na na na na na na na 4.81 3.53 4.28 4.28 4.28 4.28 3.83 3.83 6.97 6.97 5.57 5.57 4.43 4.43 5.11 5.11 2012 Maternity Centre na na na na na na na na na na na na na na 5.74 5.04 4.87 4.87 4.87 4.87 3.95 3.95 8.64 8.64 4.18 4.18 9.52 9.52 4.93 4.93 2011 na na na na na na na na na na na na na na na 3.08 3.13 2.89 2.89 2.89 2.89 3.41 3.41 3.46 3.46 4.80 4.80 4.80 4.80 303.17 2013 na na na na na na na na na na na na na na na 3.25 3.29 3.29 3.29 3.29 3.29 2.57 2.57 3.29 3.29 5.27 5.27 5.27 5.27 247.86 2012 na na na na na na na na na na na na na na na Non Specialist Hospital 2.93 2.98 3.35 3.35 3.35 3.35 2.61 2.61 2.76 2.76 4.67 4.67 4.67 4.67 Mean Turnover Interval (Days) Interval Turnover Mean 157.70 2011 na na 1.34 1.77 1.48 1.13 1.13 3.69 0.43 1.81 0.72 0.54 1.81 0.77 1.06 1.62 1.36 1.89 1.68 1.82 0.76 1.69 1.19 3.69 2.49 2.78 2.62 1.57 2.11 1.81 2013 na na 1.31 1.94 1.51 1.13 1.13 0.59 0.50 1.92 0.80 0.61 1.92 0.84 0.88 1.26 1.09 1.76 1.88 1.80 0.80 1.95 1.32 0.59 2.24 3.21 2.65 1.36 2.44 1.82 2012 Specialist Hospital na na 1.35 1.89 1.52 1.39 1.39 0.52 1.54 0.73 0.66 1.54 0.82 0.81 1.90 1.32 1.73 1.96 1.79 0.96 1.72 1.30 2.05 2.22 2.13 1.34 1.94 1.60 -0.05 -0.05 2011 Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Table 3.5: Mean Turn Over Interval (TOI) in Malaysia by Categories of Acute Curative Hospitals, by State & Sector, 2011-2013 State & Sector, Hospitals, by Acute Curative Categories of by in Malaysia (TOI) Interval Over Turn 3.5: Mean Table State Malaysia Malaysia Malaysia Perlis Perlis Perlis Kedah Kedah Kedah & Perlis Kedah & Perlis Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya Lumpur WP Kuala WP Kuala Lumpur WP Kuala Lumpur WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Lumpur WP Kuala & WP Putrajaya Selangor & Lumpur WP Kuala & WP Putrajaya Selangor & Abbreviation: - na not applicable Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University

44 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 na na na na na na na na na na na na na na na na na na 2.55 2.55 7.39 7.39 8.21 8.21 9.59 9.59 2.47 2.47 2.47 2.47 2013 na na na na na na na na na na na na na na na na na na 2.66 2.66 5.43 5.43 8.34 8.34 1.73 1.73 1.73 1.73 11.71 11.71 2012 Maternity Centre na na na na na na na na na na na na na na na na na na na na 8.06 8.06 6.80 6.80 6.80 6.80 11.16 11.16 29.89 29.89 2011 na na na na na na na na na na na 3.09 4.56 4.56 3.09 1.67 2.09 2.13 2.13 1.86 1.86 1.80 1.80 5.96 5.96 3.51 3.51 3.51 3.51 303.17 2013 na na na na na na na na na na na 1.85 4.37 4.37 1.85 1.67 2.05 2.51 2.51 2.47 2.47 2.38 2.38 5.66 5.66 3.69 3.69 3.69 3.69 247.86 2012 na na na na na na na na na na na Non Specialist Hospital 1.68 3.34 3.34 1.68 1.41 1.79 2.77 2.77 1.95 1.95 1.81 1.81 5.55 5.55 3.39 3.39 3.39 3.39 Mean Turnover Interval (Days) Interval Turnover Mean 157.70 2011 na 1.31 1.51 1.14 0.88 1.04 1.40 1.12 1.23 1.15 1.25 1.83 1.33 0.49 0.30 0.48 1.49 1.25 1.46 1.77 2.24 1.85 1.50 1.35 1.49 3.07 3.07 1.56 1.35 1.55 2013 na 1.34 1.55 1.64 1.26 1.50 1.43 1.06 1.68 1.23 1.58 2.07 1.65 0.68 0.89 0.69 1.56 1.39 1.54 1.75 1.78 1.75 1.44 1.57 1.44 3.13 3.13 1.51 1.57 1.51 2012 Specialist Hospital na 0.68 2.30 1.55 1.56 1.55 1.37 1.24 1.16 1.22 1.25 3.48 1.58 1.03 1.34 1.04 1.71 1.50 1.69 2.33 2.64 2.39 1.58 2.58 1.64 3.63 3.63 1.66 2.58 1.71 2011 Sector * Public Private Public Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 3.5 [continued]: Mean Turn Over Interval (TOI) in Malaysia by Categories of Acute Curative Hospitals, by State & Sector, 2011-2013 State & Sector, Hospitals, by Acute Curative Categories of by in Malaysia (TOI) Interval Over Turn 3.5 [continued]: Mean Table HOSPITAL ACTIVITIES HOSPITAL Melaka Melaka Negeri Sembilan Negeri Sembilan Negeri Sembilan Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Sabah & WP Labuan Sabah & WP Labuan Sabah & WP Labuan Sabah & Abbreviation: - na not applicable Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University CHAPTER 3:

45 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population per 1,000 1,000 per 464.41 799.37 450.34 541.48 451.84 502.33 552.65 1,990.19 1,558.23 1,308.34

na na 2013 Number 112,109 112,109 587,777 322,406 164,191 164,191 910,183 699,886 322,406 564,480 788,182 435,700 2,698,849 6,027,115 1,466,877 1,231,972 2,783,901 8,567,888 7,522,123 1,022,292 1,223,882 3,164,075 3,243,214 1,566,015 2,130,495 1,152,833 2,011,242 16,090,011

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population per 1,000 1,000 per 448.54 801.90 438.33 539.81 439.42 497.90 559.66 1,957.44 1,547.29 1,258.17

na na

2012 Number 107,381 155,421 107,381 539,401 335,857 875,258 155,421 646,782 335,857 982,639 569,177 761,008 442,263 5,969,058 3,209,614 1,544,267 1,106,863 2,651,130 2,759,444 8,387,448 7,448,707 1,203,271 3,162,507 1,457,862 2,027,039 1,059,756 2,102,751 Total Specialist Outpatient Department Visits Specialist Outpatient Department Total 15,836,155

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

- - population per 1,000 1,000 per 195.72 457.72 250.46 251.79 174.84 505.58 191.38 360.77 - - - -

na na

2013 Number 74,405 74,405 66,074 51,303 321,165 395,570 382,438 410,331 792,769 579,544 321,165 395,570 521,405 587,479 197,106 898,576 2,068,646 7,481,747 1,888,451 5,413,101 1,231,802 1,095,682 1,308,907 1,180,499

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

- - population per 1,000 1,000 per 194.53 468.29 248.33 173.71 241.27 333.13 478.32 175.82 - - - -

na na

2012 Number 67,321 67,321 51,414 51,007 321,119 388,440 434,579 367,797 802,376 634,760 321,119 388,440 485,287 536,701 200,181 793,353 993,534 1,925,684 7,285,155 5,359,471 1,795,910 1,161,150 1,155,944 1,104,937 Total General Outpatient Department Visits Outpatient Department General Total

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population per 1,000 1,000 per 403.64 343.72 777.31 450.05 315.07 350.12 510.59 273.68 319.71 356.08

na na

2013 Number 97,438 94,742 64,128 94,742 97,438 64,128 68,214 State & Sector, 2012-2013 State & Sector, 599,959 694,701 476,688 302,805 779,493 697,397 792,139 778,179 443,608 387,837 831,445 475,374 799,346 867,560 9,362,209 1,566,901 2,410,522 1,632,343 7,632,331 1,729,878 1,091,527

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population per 1,000 1,000 per 386.01 333.97 783.63 465.64 311.80 339.54 525.61 260.13 313.02 353.92

2012 na na Number Total Emergency Department Visits Department Emergency Total 92,410 73,398 62,220 73,398 92,410 62,220 72,677 593,476 666,874 514,542 283,293 797,835 685,886 759,284 669,788 450,886 395,925 846,811 386,495 782,650 855,327 9,147,144 1,469,932 2,329,987 1,660,199 7,585,804 1,561,340 1,083,437 Sector * Private Total Public Private Total Private Total Public Private Total Public Public Private Total Public Private Total Private Public Public Private Total Public Private Total Public Total Public Private Total State Table 3.6 : Number & Density of Emergency Department, General Outpatient Department and Specialist Clinic Visits in Acute Curative Hospitals in Malaysia by by Hospitals in Malaysia Acute Curative in Visits Outpatient Department and Specialist Clinic Department, General 3.6 : Number & Density of Emergency Table Perlis Perlis Kedah Kedah Kedah WP Putrajaya WP Putrajaya WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala Lumpur WP Kuala Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia Malaysia Malaysia Kedah & Perlis Kedah & Perlis Kedah & Perlis Kedah Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Perlis Pulau Pinang Pulau Pinang Pulau Pinang Selangor Selangor Selangor WP Putrajaya Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Perak Perak Perak * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

46 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population per 1,000 1,000 per 224.53 331.16 541.60 946.19 254.90 270.49 221.63 467.14 260.06 305.95

na 2013 Number 30,897 30,897 13,656 10,654 790,647 307,778 271,784 655,037 135,610 579,562 324,050 482,479 806,529 910,921 713,435 283,576 439,955 450,609 467,280 202,505 759,750 356,498 124,665 669,785 624,140 135,610 481,163 269,920 1,624,356

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population per 1,000 1,000 per 225.27 210.17 524.46 914.19 258.01 287.06 225.68 484.66 252.41 314.70 na 2012

9,929 Number 19,252 19,252 13,656 780,178 289,879 264,107 553,986 644,779 135,399 305,572 464,630 770,202 281,979 470,889 760,926 897,722 769,330 460,960 432,345 210,236 642,581 351,457 135,824 487,281 625,527 135,399 268,323 1,667,052 Total Specialist Outpatient Department Visits Specialist Outpatient Department Total

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

- population per 1,000 1,000 per 73.17 303.94 113.98 256.70 216.22 195.04 312.21 338.13 175.92 - - - na

2013 Number 8,520 48,942 85,434 93,188 32,180 48,942 113,450 121,970 133,381 218,815 240,548 324,916 146,681 107,729 254,410 231,728 726,838 144,017 870,855 244,482 276,662 240,548 1,070,269 1,021,327 1,070,269 1,021,327

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

- population per 1,000 1,000 per 67.41 306.89 104.89 240.24 228.58 211.80 341.10 315.22 216.11 - - -

na

2012 Number 98,964 11,831 52,476 73,001 86,856 89,772 89,863 52,476 110,795 129,397 202,398 249,820 347,444 134,597 142,089 231,861 260,588 733,777 868,374 244,769 334,632 249,820 1,062,836 1,010,360 1,062,836 1,010,360 Total General Outpatient Department Visits Outpatient Department General Total

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population per 1,000 1,000 per 479.51 426.87 267.08 401.60 251.08 265.35 268.89 239.33 285.02 261.29

na

2013 Number 5,998 44,738 99,508 13,201 76,521 38,202 44,738 15,097 13,201 10,487 357,282 456,790 927,253 940,454 265,804 342,325 279,323 442,050 793,079 141,892 934,971 436,052 578,182 616,384 433,149 448,246 882,515 895,716 268,836

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

Malaysia by State & Sector, 2012-2013 State & Sector, by Malaysia per 1,000 1,000 per 481.34 401.64 267.69 381.82 241.17 271.48 260.59 253.08 279.76 261.88

2012 na Number 5,560 9,405 Total Emergency Department Visits Department Emergency Total 44,091 71,186 11,787 66,664 63,553 44,091 14,794 11,787 353,065 424,251 915,292 927,079 255,022 321,686 263,578 445,342 789,727 106,603 896,330 439,782 580,735 644,288 418,387 433,181 871,201 882,988 254,173 Sector * Total Private Public Private Total Public Private Total Public Private Total Total Total Public Private Total Public Private Public Private Total Public Public Private Total Public Private Total Public Private State HOSPITAL ACTIVITIES HOSPITAL Table 3.6 [continued]: Number & Density of Emergency Department, General Outpatient Department and Specialist Clinic Visits in Acute Curative Hospitals in Acute Curative in Visits Outpatient Department and Specialist Clinic Department, General 3.6 [continued]: Number & Density of Emergency Table WP Labuan WP Labuan Negeri Sembilan Negeri Sembilan Negeri Sembilan Sabah & WP Labuan Sabah & WP Labuan Sabah & WP Labuan Sabah & Melaka Melaka Melaka Terengganu Kelantan Johor Johor Johor Kelantan Kelantan Sarawak Sarawak Sarawak WP Labuan Pahang Pahang Pahang Sabah Sabah Sabah Terengganu Terengganu * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 3:

47 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 1,190 6,637 3,299 32,479 31,289 21,984 15,887 12,952 10,603 34,226 14,976 12,739 42,707 50,774 35,430 19,399 30,414 27,115 100,118 341,207 2013 1,320 9,794 8,336 3,024 33,358 32,038 23,540 16,174 12,578 34,615 13,231 12,571 42,899 50,117 34,048 20,723 30,574 27,550 Gynaecology Clinic 101,352 342,558 2012 1,040 5,225 29,119 28,079 12,663 22,030 10,884 12,857 53,356 20,834 15,655 19,103 71,397 41,238 23,344 45,034 39,809 200,772 110,272 487,786 2013 1,200 9,764 4,883 Obstetric Clinic 28,789 27,589 12,013 23,374 10,052 76,464 19,783 16,194 19,516 67,747 45,829 26,074 44,132 39,249 196,015 108,752 508,483 2012 3,616 64,970 61,354 52,521 56,120 28,280 46,410 49,176 43,904 19,721 69,652 90,922 74,915 16,007 115,449 309,996 146,839 143,436 107,943 2013 1,035,343 2,742 56,860 54,118 51,460 58,132 28,194 38,361 45,332 39,483 17,464 76,599 83,727 68,876 14,851 Orthopaedic Clinic 102,496 302,160 149,922 134,774 106,801 989,605 2012 3,131 49,843 46,712 49,621 34,735 29,177 33,628 82,587 34,792 30,557 90,096 20,582 93,812 88,792 49,829 95,714 82,923 12,791 204,490 783,765 2013 Surgical Clinic 2,238 50,798 48,560 47,391 40,849 27,802 31,177 77,470 31,391 30,120 18,709 83,771 85,568 51,130 86,894 74,295 12,599 213,034 110,554 773,624 2012 (Public Hospitals Only) in Malaysia by State, 2012-2013 by (Public Hospitals Only) in Malaysia 7,619 73,712 66,093 75,293 53,291 56,895 49,069 50,973 40,794 44,467 78,642 92,420 18,198 117,127 449,720 219,688 185,565 103,284 110,618 2013 1,259,418 6,247 66,375 60,128 71,908 51,879 52,369 44,749 47,685 32,978 44,288 98,971 78,032 87,350 16,797 116,066 443,891 241,616 157,987 104,147 2012 1,209,050 General Medicine Clinic General State Table 3.7: Number of Specialist Clinic Visits (Medicine, General Surgery, Orthopaedics and Obstetrics & Gynaecology) in Acute Curative Hospitals Acute Curative Orthopaedics and Obstetrics & Gynaecology) in Surgery, (Medicine, General Visits 3.7: Number of Specialist Clinic Table Sabah & WP Labuan Sabah & WP Labuan Sabah Sarawak Kelantan Terengganu Pahang Johor Melaka Negeri Sembilan Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & WPKL WP Putrajaya Selangor Perak Pulau Pinang Kedah & Perlis Kedah Kedah Perlis Malaysia Selangor & WP Putrajaya & WPKL are also collectively referred to as Klang Valley. v Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor &

48 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 0 0 0 0 0 0 539 497 5,229 5,229 8,227 2,666 14,497 17,419 59,849 59,849 10,598 11,560 11,560 13,1081 2013 0 0 0 0 0 0 443 612 4,987 4,987 7,666 3,126 14,261 15,803 69,394 69,394 10,274 11,628 11,628 Oncology Clinic 138,194 2012 614 3,026 8,026 16,685 16,071 28,643 28,579 61,484 44,563 47,084 20,169 21,688 68,927 45,381 87,489 28,404 47,535 39,509 117,334 549,657 2013 476 3,370 8,380 14,377 13,901 26,714 31,045 69,461 69,371 45,876 19,467 22,155 77,955 40,546 74,152 28,831 46,122 37,742 Psychiatry Clinic Psychiatry 121,871 569,442 2012 3,015 63,525 60,510 69,932 53,227 28,390 42,950 87,628 40,774 49,978 14,430 75,577 87,457 74,972 12,485 299,015 132,463 152,122 118,631 2013 1,017,084 3,496 65,056 61,560 67,847 53,982 26,829 36,619 96,461 39,246 48,339 14,140 76,309 72,602 60,569 12,033 294,943 140,082 140,721 111,652 989,885 2012 Ophthalmology Clinic 463 8,321 31,405 30,942 36,800 37,172 16,466 26,587 59,310 28,667 17,775 83,012 10,634 88,524 57,191 54,498 60,945 52,624 182,170 608,986 2013 464 ENT Clinic 7,752 30,341 29,877 32,157 37,696 16,435 23,687 50,767 28,611 17,402 86,147 10,298 73,132 55,813 50,917 56,425 48,673 169,577 569,828 2012 (Public Hospitals Only) in Malaysia by State, 2012-2013 by (Public Hospitals Only) in Malaysia 1,260 7,999 38,876 37,616 37,839 29,653 16,111 27,670 51,941 16,850 19,038 86,425 12,005 86,955 60,456 25,882 62,980 54,981 185,385 572,681 2013 846 8,201 Paediatric Clinic Paediatric 33,526 32,680 34,847 28,264 15,749 23,972 50,559 17,314 18,484 96,748 10,064 78,021 61,407 25,701 65,336 57,135 184,833 559,992 2012 State HOSPITAL ACTIVITIES HOSPITAL Table 3.8: Number of Specialist Clinic Visits (Paediatrics, Otorhinolaryngology (ENT), Ophthalmology, Psychiatry and Oncology) in Acute Curative Hospitals Acute Curative and Oncology) in Psychiatry Otorhinolaryngology (ENT), Ophthalmology, (Paediatrics, Visits 3.8: Number of Specialist Clinic Table Sabah & WP Labuan Sabah & WP Labuan Sabah Sarawak Kelantan Terengganu Pahang Johor Melaka Negeri Sembilan Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & WPKL WP Putrajaya Selangor Perak Pulau Pinang Kedah & Perlis Kedah Kedah Perlis Malaysia Selangor & WP Putrajaya & WPKL are also collectively referred to as Klang Valley. Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & CHAPTER 3:

49 This page intentionally left blank Chapter 4 : Hospital Health Workforce National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

CHAPTER 4 | HOSPITAL HEALTH WORKFORCE

Doctors In this report, we focus on fully-registered medical practitioners i.e. the specialists and medical officers, hence house officers are excluded. In 2013, there were 19,927 doctors working in acute curative hospitals in the country; 79.9% in the public hospitals, and 20.1% in the private hospitals. This sector distribution of doctor workforce is consistent with the proportion of bed capacity between the sectors. Over the past four years (2010-2013), the number of doctors has increased by 25% (5,022/ 19,927); the public hospitals contributed to a majority of 87.8% (4,407/ 5,022), and the remaining 12.2% (615/ 5,022) was from the private hospitals. Consistently, the public hospitals experienced a higher percentage of increase in the doctor workforce (27.7%) compared with the private hospitals (15.3%). In total, the country had 67.1 doctors per 100,000 population for the year 2013. Many were working in the West Coast region of Peninsular Malaysia. The highest doctor-to- population ratio was seen in Klang Valley (99.6 per 100,000 population), and three other states held a ratio well above national average i.e. Pulau Pinang (93.3 per 100,000 population), Melaka (87.8 per 100,000 population), and Negeri Sembilan (75.2 per 100,000 population). On the other hand, the top five states with the least number of doctors per 100,000 population were Sabah & WP Labuan (33.4), Sarawak (46.1), Johor (47.1), Terengganu (52.8), and Pahang (53.7). [Table 4.1]

With regards to specialists, the year 2013 saw 7,788 specialists working in acute curative hospitals in Malaysia. There were more specialists in the public hospitals (4,368; 56.1%) as opposed to the private hospitals (3,420; 43.9%). In the four-year period, the total number of specialists grew by 1,112 (14.3%). Out of such, 621 specialists (55.8%) were from the public hospitals, and 491 specialists (44.2%) were from the private hospitals. In addition, specialist workforce growth within the public hospitals (14.2%) was comparable to that of the private hospitals (14.4%). Overall, the number of specialists per 100,000 population in the country stood at 26.2 for the year 2013. Klang Valley, Pulau Pinang, and Melaka held the top three highest ratios; 47.6, 40.1, and 34.6 respectively. In contrast, three states had the lowest ratios i.e. Sabah & WP Labuan (9.1), Terengganu (12.9), and Sarawak (14.8). [Table 4.1.1]

Specialties that topped the list for highest specialist-to-population ratio remained similar throughout the four-year period (paediatrics, obstetrics and gynaecology, anaesthesiology, orthopaedics, internal medicine, and general surgery). Meanwhile specialties with the lowest ratio include sports medicine, nuclear medicine, rehabilitation medicine, and forensic . [Table 4.1.2- Table 4.1.18]

In 2013, medical officers working in acute curative hospitals in the country numbered 12,139; a majority of 95% (11,545) being in the public hospitals while the remaining were in the private hospitals (594). Over the past four years, the number has increased by 3,910 (32.2%); out of which 3,786 (96.8%) medical officers were working in the public hospitals, and only 124 (3.2%) were working in the private hospitals. Furthermore, medical officer workforce of the public hospitals observed a higher increase (32.8%) compared with that of the private hospitals (20.9%). The national average of medical officers per 100,000 population was 40.9 for the year 2013. Melaka, Pulau Pinang, Perlis, and Klang Valley reported ratios well above the national average (53.1, 52.7, 52.2, and 52.1 medical officers per 100,000 population respectively); while Sabah & WP Labuan, Johor, and Sarawak recorded ratios well below the national average (24.3, 31.0, and 31.2 medical officers per 100,000 population respectively). [Table 4.1.1]

Staff Nurses Total hospital staff nurses in 2013 numbered 68,121; with 50,541 staff nurses (74.2%) in the public hospitals, and 17,580 staff nurses (25.8%) in the private hospitals. There was an overall increase of 6.6% from the total number of hospital staff nurses in 2012. Both sectors experienced comparable increase in workforce over the two-year period; 6.4% in the public hospitals, and 7.2% in the private hospital. The country observed a staff-nurses-to-population ratio of 229 per 100,000 population in

52 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

2013. The highest ratio of 305-308 per 1,000 population was seen in Pulau Pinang, Melaka, and Klang Valley (consisting the collective states of Selangor, WP Putrajaya, and WP Kuala Lumpur). Meanwhile Sarawak, Terengganu, Sabah, WP Labuan, and Johor had the ratio of below 200 per 100,000 population. [Table 4.2]

Staff nurses with post-basic training grew in number by 12.8% from 2012 to 2013; again with the private hospitals showing higher increase (14.0%) than the public hospitals (12.6%). However, 35.4% of all staff nurses in the public hospitals had post-basic training versus 19.0% of all staff nurses in the private. Public hospitals in Melaka had the highest proportion of post-basic trained staff nurses out of total staff nurses (50.2%), while those in Sabah had the lowest (23.7%). [Table 4.2]

Assistant Medical Officers (AMO) There were 6,568 AMOs working in Malaysian hospitals in 2013. Most (98.8%) AMOs were working in the public hospitals. The number of AMOs grew by 3.9% from 2012 to 2013; maintaining the AMO-to-population ratio of 22 per 100,000 population in both years. Perlis recorded AMO density well above national average at 44 per 100,000 population. Meanwhile Klang Valley, and Johor recorded the lowest AMO density, at 17-18 per 100,000 population each. [Table 4.3]

The number of post-basic trained AMOs increased by 6.4% over one-year period (2012-2013); mostly observed in the public hospitals. The private hospitals lost three post-basic trained AMOs (21.4%) in 2013. Out of all AMOs in the public hospitals, 41.3% held post-basic training; while only 17.5% of the total number of AMOs in the private hospitals had such training. [Table 4.3]

Radiographers TThere were 3,258 radiographers in Malaysia in 2013; 2,419 (74.2%) in the public hospitals, and 839 (25.8%) in the private hospitals. In total, the number of radiographers increased by 5.3%; with a higher increase in the private hospitals (12.5%) compared with the public hospitals (2.8%). Nationwide, there were 11 radiographers per 100,000 population in 2013. Pulau Pinang, Perlis, and Klang Valley had the highest ratio, at 12-15 per 100,000 population; while Kedah, Terengganu and Sabah & WP Labuan had the lowest ratio, at 7-8 per 100,000 population. [Table 4.4]

We attempted to report about the country’s post-basic trained radiographers (particularly in mammography and computer tomography (CT) scan). However such data could only be reported for the public hospitals. Of all radiographers in the public hospitals, 1.3% had post-basic training in mammogram, and 5.3% had post-basic training in CT scan. Most states had only three or less radiographers with mammogram post-basic training, while in Klang Valley there were 13 radiographers with such qualification. A similar situation is seen among the radiographers with post- basic qualification in CT scan: in most states, they numbered less than 10, while in Klang Valley they amounted to 47 in number. [Table 4.4]

Limitation: 1. Our data pertains to hospital workforce, therefore paints only a partial picture of health workforce (of selected professions) in the country. 2. Only doctor workforce data was collected at an individual doctor’s level. As for the remaining professions, data was collected in aggregated manner i.e. total count of the workforce. Therefore thorough data verification and cleaning was employed for the doctor workforce data, while the nature of the other workforce data permitted verification and cleaning procedure on a smaller scale. 3. Compared with workforce data of other professions, doctor workforce data for the latest

NHEWS (Hospital) survey is available only for the year 2013 instead of for both years (2012 & WORKFORCE HEALTH HOSPITAL 2013). This is attributable to the dissimilarity in data collection as has been mentioned. 4. A proportion of private hospitals reported post-basic trained radiographers that did not meet

our definition. Therefore we omitted this data on the ground of questionable reliability. CHAPTER 4:

53 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 99.63 61.27 60.54 93.34 60.24 58.98 70.84 67.06 208.66 472.73 population Per 100,000 Per 2013 0 0 890 390 390 300 471 127 171 127 171 7,512 3,614 5,484 2,028 2,724 3,508 1,475 2,370 1,138 1,520 1,175 1,363 1,049 1,192 1,236 1,065 4,014 19,927 15,913 Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 87.00 49.65 53.64 82.20 46.73 45.26 58.95 57.50 199.53 318.06 Per 100,000 population Per 2011 na na 243 774 980 243 270 423 887 120 893 913 140 773 120 140 6,393 1,754 3,381 4,639 2,607 2,769 1,286 1,789 1,310 1,016 1,033 3,554 16,654 13,100 Medical Practitioners‡ Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 83.44 46.04 48.96 73.33 40.15 38.76 51.83 52.60 196.34 292.77 Per 100,000 population Per 2010 na na 212 808 897 212 256 896 414 875 731 114 755 761 120 641 114 120 1,705 6,015 3,288 4,310 2,480 2,515 1,152 1,618 1,145 3,399 14,905 11,506 Number Sector * Private Total Total Public Total Private Private Public Private Total Public Total Public Private Total Public Private Total Public Private Total Public Total Public Private Private Total Public Public Private Table 4.1 : Number & Density of Medical Practitioners in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative in 4.1 : Number & Density of Medical Practitioners Table State Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & WPKL & WP Putrajaya Selangor & WPKL WPKL & WP Putrajaya Selangor & WP Putrajaya WPKL WP Putrajaya WPKL Selangor Selangor WP Putrajaya Perak Selangor Perak Pulau Pinang Perak Pulau Pinang Kedah & Perlis Kedah Pulau Pinang Kedah & Perlis Kedah Kedah & Perlis Kedah Perlis Kedah Kedah Perlis Malaysia Perlis Malaysia Malaysia Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University AND medical officers; EXCLUDING house officers. i.e. specialists refer to doctors with full MMC registration ‡ Medical practitioners A3.1 Table Appendix 3: population data, please refer For

54 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 33.43 33.28 38.59 46.05 64.41 52.76 53.67 47.08 87.75 75.23 population Per 100,000 Per 2013 0 80 36 36 80 42 13 87 187 999 587 844 574 757 317 748 197 805 551 165 640 1,177 1,141 1,097 1,186 1,061 1,073 1,031 1,637 1,320 Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 27.19 27.44 17.82 35.81 60.55 39.11 45.84 41.15 74.79 65.68 Per 100,000 population Per 2011 na 73 16 16 73 44 12 74 926 910 853 901 837 182 978 719 420 934 699 408 625 270 623 184 685 439 148 537 1,400 1,130 Medical Practitioners‡ Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 22.41 13.81 22.64 32.05 59.50 38.13 39.25 35.24 63.33 57.59 Per 100,000 population Per 2010 na 12 68 12 68 43 11 64 738 726 670 792 658 169 916 623 395 873 589 384 525 256 520 924 164 588 356 135 453 1,180 Number Sector * Total Total Private Total Public Private Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Public State Table 4.1 [continued]: Number & Density of Medical Practitioners in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative in 4.1 [continued]: Number & Density of Medical Practitioners Table HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Sabah & WP Labuan Sabah & WP Labuan WP Labuan Sabah & Sabah WP Labuan WP Labuan WP Labuan Sabah & Sabah Sarawak Sabah Sarawak Kelantan Sarawak Kelantan Terengganu Kelantan Terengganu Pahang Terengganu Pahang Johor Pahang Johor Melaka Johor Melaka Negeri Sembilan Melaka Negeri Sembilan Negeri Sembilan * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University AND medical officers; EXCLUDING house officers. i.e. specialists refer to doctors with full MMC registration ‡ Medical practitioners A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

55 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population Per 100,000 100,000 Per 40.85 52.08 52.20 42.16 43.23 52.69 40.18 32.59 102.14 353.94 0 0

2013

14 14 51 49 Number 594 316 126 126 838 852 964 978 807 858 930 979 185 292 292 131 1,769 3,611 3,927 1,681 1,866 1,638 11,545 12,139

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population Per 100,000 100,000 Per 98.91 33.42 42.88 42.11 30.16 31.44 45.49 34.91 23.49 215.97 2011 9 9

na na 42 35 Number 473 240 100 100 586 595 686 695 684 726 802 837 140 165 165 100 1,676 9,208 2,911 9,681 3,151 1,170 1,310 1,576 Medical Officers

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population Per 100,000 100,000 Per 99.19 29.04 40.55 34.55 24.29 25.38 36.51 30.60 20.58 190.57 2010

na na 80 80 12 12 39 36 Number 470 234 461 473 541 553 531 570 684 720 990 134 138 138 100 1,661 7,759 2,689 8,229 2,923 1,124 1,561

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - - ­ - ­ - ­ - ­ - ­ - ­ - ­ ­ -

population Per 100,000 100,000 Per 26.21 47.55 18.64 16.82 17.02 40.65 20.36 28.68 118.79 106.52 0 0

2013

45 45 98 98 Number 227 113 340 272 113 385 242 420 662 245 251 496 689 953 759 4,368 1,873 3,420 1,712 7,788 3,585 1,642 1,086 1,845

- ­ - ­ - ­ - ­ - ­ - ­ ­ - - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population Per 100,000 100,000 Per 24.08 44.12 16.84 15.10 15.29 36.71 18.73 26.16 102.09 100.62 2011

na na 40 40 78 78 Specialists Number 187 111 298 227 111 338 203 381 584 214 235 449 619 840 674 3,892 1,728 3,081 1,514 6,973 3,242 1,459 1,031 1,705

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population Per 100,000 100,000 Per 23.56 42.89 17.28 14.48 14.78 36.83 18.36 25.47 97.16 102.19 2010

na na 40 40 74 74 Number 180 102 282 220 102 322 200 375 575 212 220 432 628 763 919 708 3,747 1,621 2,929 1,471 6,676 3,092 1,391 1,627 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 4.1.1 : Number & Density of Specialists and Medical Officers in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 by State & Sector, Hospitals in Malaysia Acute Curative 4.1.1 : Number & Density of Specialists and Medical Officers in Table Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WPKL WPKL WPKL * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

56 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population Per 100,000 100,000 Per 31.08 48.41 24.34 53.14 31.00 37.07 39.82 39.62 31.26 24.15 3 3 8 3 0

2013

29 32 13 53 13 39 29 Number 486 854 518 857 440 453 570 583 440 443 652 660 766 805 825 828 1,025 1,078

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population Per 100,000 100,000 Per 13.36 42.19 19.11 44.66 26.19 30.89 28.21 35.91 22.41 19.27 2011 5 5 5

na 12 22 11 41 15 11 37 12 Number 418 646 440 651 361 372 850 891 456 471 298 303 569 580 527 564 634 639 Medical Officers

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

population Per 100,000 100,000 Per 9.21 34.38 14.54 32.40 21.09 23.72 27.12 35.85 19.10 14.69 2010 8 5 5 5 9 5 8

na 21 52 15 37 Number 330 474 351 479 261 266 654 706 341 356 276 281 543 552 435 472 466 471

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

9.09 9.13 7.50 Per 100,000 100,000 Per 26.82 34.61 16.08 16.60 12.94 24.79 14.79 7 0 7

2013

77 74 10 34 77 Number 154 243 133 287 320 111 184 295 295 264 559 187 261 134 144 379 413 233 148 381 236 313

­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

8.07 8.17 4.45 Per 100,000 100,000 Per 23.49 30.13 14.96 14.95 10.89 24.64 13.39 2011 7 4 4

na 68 78 59 33 68 Specialists Number 119 207 126 245 275 173 251 280 229 509 169 228 110 117 365 398 192 145 337 203 271

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

7.86 7.95 4.60 Per 100,000 100,000 Per 23.21 30.93 14.16 15.52 11.00 23.64 12.95 2010 6 4 4

na 63 95 49 34 63 Number 123 196 114 237 259 159 254 270 204 474 184 233 108 114 330 364 188 132 320 192 255 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.1 [continued]: Number & Density of Specialists and Medical Officers in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 by State & Sector, Hospitals in Malaysia Acute Curative 4.1.1 [continued]: Number & Density of Specialists and Medical Officers in Table Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

57 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 1.75 1.66 1.39 1.41 2.76 1.64 1.59 5.66 2.67 14.55 population Per 100,000 Per 4 0 4 5 5 2013 na 23 28 27 32 28 17 45 26 14 40 66 25 91 12 12 72 26 98 51 368 151 519 150 201 Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 1.69 1.26 1.57 1.54 2.95 1.38 1.40 5.24 5.43 2.37 population Per 100,000 Per 3 3 5 5 4 4 2011 na na 26 31 29 34 28 19 47 18 15 33 52 26 78 63 29 92 55 327 163 490 119 174 Internal Medicine Specialists ‡ Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 1.69 2.16 1.33 1.42 2.24 1.36 1.54 6.90 4.78 2.34 population Per 100,000 Per 5 5 3 3 5 5 2010 na na 23 26 28 31 19 16 35 19 13 32 63 21 84 49 31 80 52 329 149 478 117 169 Number Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 4.1.2 : Number & Density of Internal Medicine Specialists in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative 4.1.2 : Number & Density of Internal Medicine Specialists in Table Malaysia Malaysia Malaysia Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WPKL WPKL WPKL Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University etc.) medicine, nephrology, respiratory ‡ Internal medicine specialists EXCLUDE from the medical subspecialties (e.g. , A3.1 Table Appendix 3: population data, please refer For

58 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 2.62 2.35 1.09 1.40 1.08 0.90 1.32 0.90 1.07 0.91 population Per 100,000 Per 9 5 2 1 9 4 1 1 4 2013 na 15 13 28 11 20 19 19 38 17 22 10 12 14 15 25 34 27 31 28 32 Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 2.59 2.04 1.00 1.90 1.49 1.05 1.35 0.81 1.11 0.82 population Per 100,000 Per 7 7 1 3 6 1 1 6 2011 na 10 17 27 10 17 20 14 34 22 29 15 16 14 17 23 11 34 21 27 22 28 Internal Medicine Specialists ‡ Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 2.74 2.68 1.02 2.07 1.74 1.17 1.25 0.87 1.15 0.88 population Per 100,000 Per 9 1 3 5 1 1 5 2010 na 14 14 28 12 10 22 21 13 34 22 31 17 18 15 18 21 10 31 23 28 24 29 Number Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.2 [continued]: Number & Density of Internal Medicine Specialists in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative 4.1.2 [continued]: Number & Density of Internal Medicine Specialists in Table Negeri Sembilan Negeri Sembilan Negeri Sembilan Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University etc.) medicine, nephrology, respiratory ‡ Internal medicine specialists EXCLUDE from the medical subspecialties (e.g. cardiology, A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

59

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.37 0.45 0.61 0.00 0.00 0.25 1.62 0.22 0.92

0.84 2013 Number 0 0 0 0 3 2 7 5 3 2 5 6 9 4 5 9 na na 75 17 58 18 35 21 28 38 25 63 15

133

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.39 0.52 0.00 0.00 0.20 1.53 0.18 0.75 0.88 0.25 2011 Number 0 0 0 0 2 2 6 4 2 2 4 6 8 1 5 6 na na 62 12 50 17 29 20 26 32 23 55 14 112

Nephrologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.38 0.51 0.00 0.00 0.15 1.67 0.14 0.78 0.83 0.26

0 0 0 0 2 1 6 3 2 1 3 Number 6 7 2010 1 5 6 na na 64 13 43 15 28 22 28 35 21 56 13

107

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.27 0.35 0.00 0.00 0.25 1.39 0.22 0.58 0.68 0.29

3 0 0 0 0 4 1 5 4 1 5 Number 4 7 2013 3 4 7

na na 35 44 17 79 20 13 11 24 16 28 44 11

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.23 0.29 0.00 0.00 0.15 1.42 0.14 0.54 0.50 0.21

2 0 0 0 0 2 1 9 3 2 1 3 Number 2 6 2011 8 2 3 5

na na 32 36 14 68 16 15 24 17 23 40

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.24 0.27 0.00 0.00 0.15 1.43 0.14 0.54 0.58 0.21 Respiratory Medicine Specialists Respiratory

1 0 0 0 0 2 1 3 2 1 3 Number 3 6 2010 9 2 3 5

na na 30 37 14 67 15 13 11 24 14 25 39

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.83 0.84 0.00 0.00 0.49 4.21 0.44 1.60 2.27 0.49

7 0 0 0 0 4 8 6 4 6 Number 9 2013 1 2010, 2011 & 2013 na na 53 41 48 65 10 73 15 10 28 37 11 12

194 247 106 121

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - - Per 100,000 100,000 Per 0.69 0.72 0.35 3.54 0.32 1.36 1.32 0.46

7 0 0 0 0 1 8 6 7 1 6 7 Number 2 2011 1 na na 39 33 40 52 60 15 85 19 21 10 11

160 199 100

Cardiologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.71 0.75 0.00 0.00 0.31 3.64 0.28 1.41 1.73 0.43 2010 Number 9 0 0 0 0 0 9 6 6 0 6 6 8 0 na na 47 32 41 52 61 18 84 19 27 10 10 155 202 102 Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State Table 4.1.3 : Number & Density of Cardiologists, Respiratory Medicine Specialists and Nephrologists in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative Medicine Specialists and Nephrologists in 4.1.3 : Number & Density of Cardiologists, Respiratory Table Malaysia Selangor Malaysia Selangor Malaysia Selangor Perlis WP Putrajaya Perlis WP Putrajaya Perlis WP Putrajaya Kedah WPKL Kedah WPKL Kedah WPKL Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

60

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.36 0.56 0.23 0.59 0.15 0.20 0.00 0.25 0.14 0.18 2013 Number 3 4 3 2 6 6 2 1 3 4 5 5 4 0 3 7 0 3 1 1 4 4 5 2 0

2 5 1 6

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.38 0.20 0.60 0.15 0.15 0.00 0.13 0.15 0.19 0.31 2011 Number 2 3 2 2 4 5 1 4 4 1 5 5 3 0 2 5 0 2 4 0 1 2 5 2 0 2 4 1 5 na

Nephrologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.39 0.20 0.49 0.16 0.12 0.00 0.13 0.15 0.10 0.26

2 3 2 2 4 5 1 4 3 1 4 5 3 0 1 4 0 2 4 0 1 2 5 Number 1 0 2010

1 4 0 4

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.09 0.08 0.12 0.06 0.03 0.00 0.13 0.06 0.09 0.12

0 2 1 0 1 2 0 2 1 0 1 2 1 0 0 1 0 1 2 1 0 2 2 Number 1 0 2013

1 1 1 2

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.10 0.00 0.12 0.12 0.06 0.00 0.13 0.12 0.00 0.12

0 0 1 0 1 0 0 4 1 0 1 4 2 0 0 2 0 1 4 1 0 2 4 Number 0 0 2011

0 2 0 2

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.10 0.00 0.12 0.12 0.06 0.00 0.07 0.12 0.10 0.06 Respiratory Medicine Specialists Respiratory

0 0 1 0 1 0 0 4 1 0 1 4 2 0 0 2 0 1 4 0 0 1 4 Number 1 0

2010 1 1 0 1

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.47 0.66 1.29 0.18 0.43 0.00 0.25 0.17 0.36 0.30

0 8 5 9 5 0 2 4 6 6 0 9 0 2 2 2 4 4 6 Number 3 1 4 2013 3 2 5 na 17 11 11 15

Sector, 2010, 2011 & 2013 Sector,

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - Per 100,000 100,000 Per 0.38 0.60 1.32 0.21 0.38 0.26 0.21 0.09 0.31

0 6 4 9 4 0 4 3 7 5 0 8 0 2 4 2 3 4 7 Number 0 1 1 2011 3 2 5 na 15 11 11 13

Cardiologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.29 0.65 1.34 0.19 0.33 0.00 0.27 0.18 0.10 0.32 2010 Number 0 7 3 9 3 0 3 3 6 5 0 6 0 3 3 1 3 4 6 0 1 1 3 2 5 na 16 11 11 11 Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.3 [continued]: Number & Density of Cardiologists, Respiratory Medicine Specialists and Nephrologists in Acute Curative Hospitals in Malaysia by State & by Hospitals in Malaysia Acute Curative Medicine Specialists and Nephrologists in 4.1.3 [continued]: Number & Density of Cardiologists, Respiratory Table Negeri Sembilan Sarawak Negeri Sembilan Sarawak Negeri Sembilan Sarawak Melaka Sabah Melaka Sabah Melaka Sabah Johor WP Labuan Johor WP Labuan Johor WP Labuan Pahang Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

61

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.08 0.26 0.19 4.85 0.00 0.58 0.00 0.38 0.00 0.18

9 6 4 0 4 0 6 0 4 0 0 0 0 0 Number 2 2013 1 3 1 1 2

na na 40 15 15 55 10 19 10 29

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.22 0.14 6.54 0.00 0.41 0.00 0.33 0.00 0.06 0.08

6 6 5 0 5 0 3 0 4 0 7 0 0 0 0 Number 0 1 2011 1 1 1 2 na na 26 14 12 40 14 10 24

Rheumatologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.22 0.13 6.90 0.00 0.42 0.00 0.33 0.00 0.06 0.09

7 5 5 0 5 0 3 0 4 0 7 0 0 9 0 0 Number 0 1 2010 1 1 1 2

na na 25 13 12 38 15 24

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.28 0.28 0.00 0.00 2.19 0.10 0.72 0.09 0.49 0.08

1 0 0 0 0 1 1 2 1 1 2 Number 2 6 2013 8 0 2 2

na na 41 15 42 16 83 28 10 38 29 25 54

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.00 0.20 0.23 1.77 0.05 0.56 0.05 0.50 0.13

0 0 0 0 0 0 1 1 0 1 1 Number 3 5 2011 8 1 2 3 na na 30 11 36 11 66 20 10 30 20 21 41

Neurologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.20 0.22 0.00 0.00 1.91 0.05 0.60 0.05 0.51 0.09

0 0 0 0 0 0 1 1 0 1 1 Number 3 5 2010 8 0 2 2

na na 28 11 35 11 63 22 10 32 22 21 43

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.24 0.20 6.06 0.00 1.15 0.05 0.52 0.04 0.37 0.12

2010, 2011 & 2013

4 5 0 5 0 1 8 0 1 1 0 1 Number 4 2 2013 6 2 1 3

na na 36 10 23 14 59 12 20 21 18 39

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.00 0.00 0.00

0.20 0.18 1.06 0.50 0.31 0.08 10.47 2011 Number 2 9 8 0 8 0 0 5 0 0 0 0 0 2 3 5 1 1 2 na na 34 18 11 52 13 18 23 14 37

Endocrinologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.18 0.18 0.00 1.07 0.00 0.50 0.00 0.38 0.09

11.05 2010 Number 2 8 8 0 8 0 0 5 0 0 0 0 0 2 4 6 1 1 2 na na 33 19 10 52 13 18 23 13 36 Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State Table 4.1.4 : Number & Density of Endocrinologists, Neurologists and Rheumatologists in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative 4.1.4 : Number & Density of Endocrinologists, Neurologists and Rheumatologists in Table Selangor Malaysia Selangor Malaysia Selangor Malaysia WP Putrajaya Perlis WP Putrajaya Perlis WP Putrajaya Perlis WPKL Kedah WPKL Kedah WPKL Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

62

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.24 0.16 0.56 0.06 0.12 0.00 0.06 0.06 0.06 0.09

4 5 0 1 4 6 2 1 0 0 2 1 0 1 1 0 2 2 1 0 0 2 1 Number 1 2013 0

1 3 1 4

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.04 0.38 0.06 0.12 0.00 0.06 0.06 0.07 0.09 0.06

1 3 0 1 1 4 2 1 0 0 2 1 0 1 1 0 2 2 1 0 0 2 1 Number 1 0 2011 1 1 0 1 na

Rheumatologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.04 0.39 0.03 0.12 0.00 0.06 0.03 0.07 0.10 0.00

1 3 0 1 1 4 1 1 0 0 1 1 0 1 1 0 2 1 1 0 0 1 1 Number 1 0 2010

1 0 0 0

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.08 0.09 0.03 0.35 0.00 0.12 0.03 0.06 0.18 0.18

1 0 1 1 2 1 0 0 1 3 1 3 0 2 2 0 4 0 1 1 0 1 1 Number 2 0 2013

2 3 0 3

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.08 0.10 0.03 0.48 0.03 0.03 0.07 0.09 0.12

1 0 1 1 2 1 0 1 1 3 1 4 0 0 1 0 1 0 1 1 0 1 1 Number 1 0 2011 1 2 0 2 na

Neurologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.08 0.10 0.03 0.24 0.00 0.03 0.03 0.00 0.00 0.13

0 0 2 1 2 1 0 1 1 1 1 2 0 0 1 0 1 0 0 1 0 1 0 Number 0 0 2010 0 2 0 2

na population

0 0 2 1 2 1 0 1 1 1 1 2 0 0 1 0 1 0 0 1 0 1 0 0 0 0 2 0 2

na Per 100,000 100,000 Per

2010, 2011 & 2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 2013 Number

0.08 0.09 0.03 0.12 0.00 0.00 0.03 0.06 0.00 0.24

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.00 0.00

0.00 0.00 0.04 0.10 0.03 0.12 0.03 0.25 2011 Number 1 1 0 0 1 1 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 4 0 4 na

Endocrinologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.08 0.10 0.03 0.12 0.00 0.00 0.03 0.00 0.00 0.19 2010 Number 1 1 1 0 2 1 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 3 0 3 na Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.4 [continued]: Number & Density of Endocrinologists, Neurologists and Rheumatologists in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative 4.1.4 [continued]: Number & Density of Endocrinologists, Neurologists and Rheumatologists in Table Sarawak Negeri Sembilan Sarawak Negeri Sembilan Sarawak Negeri Sembilan Sabah Melaka Sabah Melaka Sabah Melaka WP Labuan Johor WP Labuan Johor WP Labuan Johor Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

63

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.08 0.33 0.17 0.00 0.00 0.64 0.05 0.40 0.04 0.31

4 0 0 0 0 0 8 1 3 0 1 1 7 0 1 3 2 5 1 1 2 2013 Number

na 15 39 12 19 51 11 23 30

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.38 0.16 0.00 0.00 0.59 0.00 0.42 0.00 0.25 0.08

3 0 0 0 0 7 0 3 0 0 0 6 0 0 2 2 4 1 1 2 2011 Number

na na 18 34 11 21 45 10 25 31 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

Clinical Haematologists Per 100,000 100,000 Per 0.37 0.14 0.00 0.00 0.66 0.00 0.43 0.00 0.26 0.04

3 0 0 0 0 8 0 3 0 0 0 6 0 0 2 2 4 1 0 1 2010 Number

na na 17 31 10 20 41 11 25 31

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.09 0.03 0.00 0.00 0.17 0.00 0.11 0.00 0.00 0.04

5 6 0 3 5 9 0 0 0 0 0 0 1 0 2 0 3 0 6 0 2 0 8 0 0 0 0 0 1 1 2013 Number

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.00 0.00 0.00 0.00 0.00 0.13 0.03 0.12 0.12

7 9 0 0 7 9 0 0 0 0 2 0 0 0 2 0 9 0 0 0 9 0 0 0 0 0 0 0 2011 Number na na

Hepatologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.07 0.02 0.00 0.00 0.06 0.00 0.07 0.00 0.00 0.00

4 5 0 0 4 5 0 0 0 0 1 0 0 0 1 0 5 0 0 0 5 0 0 0 0 0 0 0

2010 Number

na na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.72 0.42 0.00 0.41 1.96 0.30 0.99 0.31 0.61 0.16

8 0 1 0 0 0 1 3 3 6 4 3 7 1 9 2010, 2011 & 2013 0 4 4 2013 Number 37 33 87 41 15 19 34 23 52 75 10

124

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.00 0.00 0.54 0.36 1.89 0.30 0.84 0.27 0.63 0.17 2011 Number 4 0 0 0 0 3 3 6 3 3 6 1 9 0 4 4 na na 29 26 76 30 12 20 32 16 46 62 10

105

Gastroenterologists population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.53 0.37 0.00 0.00 1.73 0.31 0.80 0.28 0.64 0.21 2010 Number 5 0 0 0 0 3 3 6 3 3 6 1 9 1 4 5 na na 35 24 71 29 12 17 29 17 41 58 10 106 Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State Table 4.1.5 : Number & Density of Gastroenterologists, Hepatologists and Clinical Haematologists in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative 4.1.5 : Number & Density of Gastroenterologists, Hepatologists and Clinical Haematologists in Table Selangor Malaysia Selangor Malaysia Selangor Malaysia WP Putrajaya Perlis WP Putrajaya Perlis WP Putrajaya Perlis WPKL Kedah WPKL Kedah WPKL Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

64

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.24 0.12 0.00 0.06 0.23 0.00 0.03 0.06 0.06 0.00

2 0 1 0 3 0 2 1 0 1 2 2 0 1 0 0 1 2 1 0 0 2 1 0 0 0 4 0 4

2013 Number

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.08 0.00 0.06 0.12 0.00 0.00 0.06 0.00 0.00 0.19

1 0 1 0 2 0 2 0 0 1 2 1 0 0 0 0 0 2 0 0 0 2 0 0 0 0 3 0 3

2011 Number

na population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

Clinical Haematologists Per 100,000 100,000 Per 0.08 0.00 0.03 0.12 0.00 0.00 0.03 0.00 0.00 0.06

1 0 1 0 2 0 1 0 0 1 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 1

2010 Number

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2013 Number

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2011 Number na

Hepatologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

2010 Number

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.12 0.19 0.12 0.70 0.00 0.23 0.11 0.06 0.00 0.24

0 0 3 2 3 2 2 0 2 6 4 6 0 2 0 6 0 8 2 1 2 0 4 1 0 0 0 4 0 4 2013 Number

Sector, 2010, 2011 & 2013 Sector,

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.00 0.00 0.08 0.10 0.12 0.72 0.12 0.12 0.07 0.31 2011 Number

0 0 2 1 2 1 3 0 1 6 4 6 0 0 4 0 4 3 1 1 0 4 1 0 0 0 5 0 5

na

Gastroenterologists population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.08 0.10 0.16 0.73 0.00 0.12 0.15 0.07 0.00 0.52 2010 Number 0 0 2 1 2 1 3 1 2 5 5 6 0 0 4 0 4 3 1 2 0 5 1 0 0 0 8 0 8 na Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.5 [continued]: Number & Density of Gastroenterologists, Hepatologists and Clinical Haematologists in Acute Curative Hospitals in Malaysia by State & by Hospitals in Malaysia Acute Curative 4.1.5 [continued]: Number & Density of Gastroenterologists, Hepatologists and Clinical Haematologists in Table Sarawak Negeri Sembilan Sarawak Negeri Sembilan Sarawak Negeri Sembilan Sabah Melaka Sabah Melaka Sabah Melaka WP Labuan Johor WP Labuan Johor WP Labuan Johor Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

65

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.25 0.29 0.38 0.83 1.21 0.10 1.73 0.18 0.70 0.37 Number 6 4 2 1 2 1 1 1 2 3 1 4 1 5 6 1 5 2013

na na 39 47 18 86 22 18 12 30 23 30 53

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.00

0.25 0.28 0.23 0.42 0.10 1.89 0.14 0.61 0.38 2011 Number 6 2 1 0 1 0 1 1 2 2 1 3 2 4 6 1 5 na na 42 38 11 80 13 21 11 32 23 22 45

Dermatologists population

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.27 0.27 0.43 0.00 0.10 1.61 0.14 0.58 0.38 0.26 Number 2 1 0 1 0 1 1 9 2 2 1 3 2 4 6 1 5 6 2010

na na 38 38 13 76 15 18 27 20 22 42

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.09 0.12 0.00 0.00 0.05 0.35 0.04 0.17 0.18 0.04

6 3 1 7 0 0 0 0 0 0 1 5 0 1 1 6 1 0 2 1 3 0 3 1 0 1

2013 Number

23 26 11 13

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.06 0.13 0.00 0.00 0.00 0.18 0.00 0.14 0.13 0.04

5 3 2 7 0 0 0 0 0 3 0 0 0 3 0 8 0 2 0 2 0 2 1 0 1 2011

Number na na 15 18 10

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.07 0.13 0.00 0.00 0.00 0.24 0.00 0.15 0.13 0.04 Infectious Disease Specialists

5 3 2 7 0 0 0 0 0 4 0 0 0 4 0 9 0 2 0 2 0 2 1 0 1 2010

Number na na 16 19 11

Population

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Geriatric

0.67 0.00 0.00 0.00 0.00 6.80 0.00 1.88 0.00 0.97 Per 100,000 100,000 Per

2013

0 5 0 0 0 0 0 0 0 0 0 8 0 2 0 0 8 0 2 0 0 0 0 1 2 3 Number 12 17 10 10

2010, 2011 & 2013

Population

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Geriatric

0.51 0.00 0.00 0.00 0.00 5.30 0.00 1.46 0.00 0.69 Per 100,000 100,000 Per

2011 Number 7 0 5 0 0 0 0 0 0 0 5 0 2 0 7 0 5 0 2 0 7 0 0 0 0 2 2

na na 12

Geriatricians

Population

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Geriatric

0.44 0.00 0.00 0.00 0.00 3.91 0.00 1.08 0.00 0.71 Per 100,000 100,000 Per

2010 Number 6 0 4 0 0 0 0 0 0 0 4 0 1 0 5 0 4 0 1 0 5 0 0 0 0 2 2 na na 10 Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State Table 4.1.6 : Number & Density of Geriatricians, Infectious Disease Specialists and Dermatologists in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative 4.1.6 : Number & Density of Geriatricians, Infectious Disease Specialists and Dermatologists in Table Malaysia Selangor Malaysia Selangor Malaysia Selangor Perlis WP Putrajaya Perlis WP Putrajaya Perlis WP Putrajaya Kedah WPKL Kedah WPKL Kedah WPKL Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.13 Table A3.1 & Table Appendix 3: population data, please refer For

66

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.12 0.09 0.08 0.23 0.06 0.17 0.00 0.13 0.06 0.00 Number 2 1 1 0 1 1 2 1 1 1 1 2 2 4 0 2 6 0 1 1 1 1 2 2 0 0 0 2 0 2013

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.00

0.19 0.29 0.08 0.24 0.06 0.18 0.07 0.06 0.09 2011 Number 3 2 1 1 1 3 2 1 1 1 1 2 2 4 0 2 6 0 1 1 0 1 1 2 1 0 1 3 0 na

Dermatologists population

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.20 0.08 0.24 0.06 0.18 0.00 0.07 0.06 0.10 0.19 Number 1 1 1 1 2 2 1 1 1 1 2 2 4 0 2 6 0 1 1 0 1 1 2 1 0 1 3 0 3

2010

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.04 0.00 0.03 0.06 0.00 0.00 0.03 0.09 0.18

0 1 0 0 0 1 0 1 0 0 0 1 2 0 0 0 2 0 0 1 0 0 0 1 1 0 1 2 1 3 2013 Number

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.00 0.00 0.03 0.03 0.00 0.00 0.03 0.09 0.12

0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 1 0 0 1 0 0 0 1 1 0 1 1 1 2

2011

Number na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.00 0.00 0.03 0.03 0.00 0.00 0.03 0.10 0.13 Infectious Disease Specialists

0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 1 0 0 1 0 0 0 1 1 0 1 1 1 2 2010

Number na

Population

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Geriatric

0.00 0.42 1.14 0.60 0.32 0.00 0.00 0.58 0.00 0.00 Per 100,000 100,000 Per

2013 0 1 0 0 0 1 0 1 1 0 1 1 1 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 Number

tor, 2010, 2011 & 2013 tor,

Population

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Geriatric

0.00 5.04 0.00 0.66 0.00 0.00 0.00 0.00 0.00 0.00 Per 100,000 100,000 Per

2011 Number 0 1 0 1 0 2 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

na

Geriatricians

Population

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Geriatric

0.00 5.28 0.00 0.72 0.00 0.00 0.00 0.70 0.00 0.00 Per 100,000 100,000 Per

2010 Number 0 1 0 1 0 2 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 na Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Negeri Sembilan Sarawak Negeri Sembilan Sarawak Negeri Sembilan Sarawak Melaka Sabah Melaka Sabah Melaka Sabah Johor WP Labuan Johor WP Labuan Johor WP Labuan Pahang Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Table 4.1.6 [continued]: Number & Density of Geriatricians, Infectious Disease Specialists and Dermatologists in Acute Curative Hospitals in Malaysia by State & Sec - by Hospitals in Malaysia Acute Curative 4.1.6 [continued]: Number & Density of Geriatricians, Infectious Disease Specialists and Dermatologists in Table * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.13 Table A3.1 & Table Appendix 3: population data, please refer For CHAPTER 4:

67 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 2.03 1.66 1.29 1.33 3.07 1.44 2.18 9.70 7.10 3.40 Per 100,000 population Per 2013 4 4 8 8 na na 14 12 26 18 12 30 16 34 50 13 22 35 47 78 63 60 308 296 604 125 123 118 138 256 Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 1.92 1.26 1.67 1.63 2.76 1.46 2.03 6.43 3.16 13.09 Per 100,000 population Per 2011 3 3 na na 22 11 33 25 11 36 15 29 44 16 19 35 45 68 10 10 60 49 297 258 555 113 109 115 117 232 General Surgeons ‡ General Number ­ ­ ­ ­ ­ ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 1.92 0.86 1.69 1.61 2.69 1.36 2.09 5.97 3.12 15.19 Per 100,000 population Per 2010 2 2 na na 23 10 33 25 10 35 14 28 42 15 17 32 50 64 11 11 55 45 303 240 543 114 100 116 109 225 Number Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Table 4.1.7 : Number & Density of General Surgeons in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative Surgeons in 4.1.7 : Number & Density of General Table State Malaysia Malaysia Malaysia Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WPKL WPKL WPKL WPKL & WP Putrajaya Selangor & WPKL & WP Putrajaya Selangor & WPKL & WP Putrajaya Selangor & Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University definition is in keeping This and breast surgery). breast & endocrine surgery, surgery, cardiothoracic hepatobiliary surgery, AND its subspecialties (colorectal surgery, surgery surgeons refer to specialists from the discipline of general ‡ General the surgical services expert panel. by with our previous NHEWS (Hospital) reports, as advised A3.1 Table Appendix 3: population data, please refer For

68 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 2.43 2.58 1.61 1.21 1.17 1.62 1.51 0.88 1.07 0.88 Per 100,000 population Per 2013 7 8 0 2 7 1 1 7 na 13 13 26 15 22 27 29 56 11 19 13 13 25 27 23 16 39 23 30 24 31 Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 2.11 2.40 1.53 1.25 0.65 1.80 1.27 0.78 1.11 0.79 Per 100,000 population Per 2011 7 6 7 0 7 3 7 1 1 7 na 11 11 22 13 20 25 27 52 13 19 26 29 17 15 32 19 26 20 27 General Surgeons ‡ General Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 1.96 2.56 1.46 1.47 0.58 2.01 1.38 0.78 1.15 0.79 Per 100,000 population Per 2010 8 4 6 0 6 4 7 1 1 7 na 10 10 20 13 21 24 25 49 18 22 27 31 21 13 34 18 25 19 26 Number Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 4.1.7 [continued]: Number & Density of General Surgeons in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative Surgeons in 4.1.7 [continued]: Number & Density of General Table HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Negeri Sembilan Negeri Sembilan Negeri Sembilan Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University definition is in keeping This and breast surgery). breast & endocrine surgery, surgery, cardiothoracic hepatobiliary surgery, AND its subspecialties (colorectal surgery, surgery surgeons refer to specialists from the discipline of general ‡ General the surgical services expert panel. by with our previous NHEWS (Hospital) reports, as advised A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

69

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.16 0.44 0.37 0.00 0.00 1.85 0.30 0.76 0.27 0.61 2013 Number 6 0 0 0 0 2 4 6 2 4 6 1 9 0 4 4 na na 40 19 69 25 20 12 32 26 31 57 10

109

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.39 0.33 0.00 0.00 1.59 0.25 0.67 0.23 0.63 0.13 2011 Number 5 0 0 0 0 1 4 5 1 4 5 2 8 0 3 3

na na 34 17 63 22 97 16 11 27 21 28 49 10

Urologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.37 0.34 0.00 0.00 1.91 0.15 0.72 0.14 0.64 0.09 2010 Number 5 0 0 0 0 0 3 3 0 3 3 2 8 0 2 2

na na 35 15 62 20 97 16 16 32 21 31 52 10

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.28 0.10 0.00 0.00 0.40 0.10 0.31 0.09 0.06 0.00 2013 Number 7 9 0 0 0 0 3 2 4 0 7 2 2 0 2 0 1 1 0 0 0

na na 16 14 16 30 10 13 23

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.23 0.10 1.31 0.00 0.53 0.10 0.31 0.09 0.13 0.00

6 7 1 0 1 0 6 0 3 2 9 2 0 2 2 1 1 2 0 0 0 2011

Number na na 18 12 13 30 13 10 23

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

Hepatobiliary Surgeons Per 100,000 100,000 Per 0.24 0.10 0.00 0.00 0.54 0.10 0.31 0.09 0.13 0.00

2010

Number 6 7 0 0 0 0 6 2 3 0 9 2 2 0 2 1 1 2 0 0 0

na na 18 11 13 29 12 10 22

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.23 0.15 0.00 0.00 0.64 0.10 0.32 0.09 0.18 0.12

2013 Number 6 7 0 0 0 0 2 1 9 1 2 8 1 1 2 1 2 3 1 2 3

na na 17 29 13 46 11 16 24

2010, 2011 & 2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.14 0.10 0.00 0.00 0.41 0.05 0.20 0.05 0.13 0.08

2011

1 7 7 8 0 0 0 0 2 1 5 0 7 1 3 1 0 1 0 2 2 0 2 2 Number na na 23 30 12 15

Colorectal Surgeons

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.15 0.09 0.00 0.00 0.36 0.05 0.19 0.05 0.13 0.09

2010 Number 1 9 7 8 0 0 0 0 2 1 4 0 6 1 3 1 0 1 1 1 2 0 2 2 na na 17 26 11 14 Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State Table 4.1.8 :Number & Density of Colorectal Surgeons, Hepatobiliary Surgeons and Urologists in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative 4.1.8 :Number & Density of Colorectal Surgeons, Hepatobiliary Surgeons and Urologists in Table Selangor Malaysia Selangor Malaysia Selangor Malaysia WP Putrajaya Perlis WP Putrajaya Perlis WP Putrajaya Perlis WPKL Kedah WPKL Kedah WPKL Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

70

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.18 0.16 0.28 0.09 0.82 0.00 0.23 0.09 0.25 0.00 2013 Number 3 0 1 3 4 3 2 0 1 7 3 7 0 2 6 0 8 2 2 1 2 3 4 0 0 0 2 1 3

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.12 0.19 0.09 0.84 0.00 0.24 0.09 0.26 0.00 0.19 2011 Number 2 0 1 2 3 2 2 0 1 7 3 7 0 2 6 0 8 2 2 1 2 3 4 0 0 0 2 1 3

na

Urologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.12 0.20 0.06 0.85 0.00 0.24 0.06 0.27 0.00 0.26 2010 Number 2 0 1 2 3 2 1 0 1 7 2 7 0 3 5 0 8 1 2 1 2 2 4 0 0 0 4 0 4

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.04 0.00 0.03 0.12 0.00 0.00 0.03 0.00 0.09 0.00 2013 Number 1 0 0 0 1 0 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 1 0 1 0 0 0

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.04 0.10 0.00 0.12 0.00 0.00 0.00 0.00 0.00 0.00

1 0 0 1 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

2011

Number na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

Hepatobiliary Surgeons Per 100,000 100,000 Per 0.08 0.00 0.00 0.12 0.00 0.00 0.00 0.00 0.00 0.00

2010

Number 2 0 0 0 2 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.04 0.19 0.00 0.23 0.00 0.14 0.00 0.13 0.00 0.12

2013 Number 0 2 1 0 1 2 0 0 0 2 0 2 0 1 4 0 5 0 1 0 1 0 2 0 0 0 2 0 2

na

2010, 2011 & 2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.04 0.19 0.00 0.00 0.00 0.12 0.00 0.13 0.00 0.06

2011

0 1 1 1 1 2 0 0 0 0 0 0 0 1 3 0 4 0 0 0 2 0 2 0 0 0 1 0 1 Number na

Colorectal Surgeons

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.20 0.00 0.00 0.00 0.09 0.00 0.07 0.00 0.06

2010 Number 0 1 0 1 0 2 0 0 0 0 0 0 0 1 2 0 3 0 1 0 0 0 1 0 0 0 1 0 1 na Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Sarawak Negeri Sembilan Sarawak Negeri Sembilan Sarawak Negeri Sembilan Sabah Melaka Sabah Melaka Sabah Melaka WP Labuan Johor WP Labuan Johor WP Labuan Johor Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Table 4.1.8 [continued]: Number & Density of Colorectal Surgeons, Hepatobiliary Surgeons and Urologists in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative 4.1.8 [continued]: Number & Density of Colorectal Surgeons, Hepatobiliary Surgeons and Urologists in Table * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

71

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.21 0.30 0.26 0.00 0.00 0.10 1.44 0.09 0.53 0.68 2013 Number 4 0 0 0 0 2 0 7 2 2 0 2 2 9 2 3 5

na na 47 43 11 90 15 18 25 22 18 40 11

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.27 0.23 0.00 0.00 0.05 1.24 0.05 0.46 0.63 0.13 2011 Number 4 9 0 0 0 0 1 0 5 1 1 0 1 3 7 1 2 3 na na 44 33 77 13 16 21 20 14 34 10

Neurosurgeons

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.24 0.24 0.00 0.00 0.00 1.13 0.00 0.44 0.64 0.09 2010 Number 2 0 0 0 0 0 0 5 0 0 0 0 3 7 0 2 2

na na 36 32 11 68 13 14 19 16 16 32 10

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.25 0.23 0.00 0.00 0.00 1.50 0.00 0.52 0.86 0.08

2 0 0 0 0 0 5 0 0 0 7 0 0 6 8 0 2 2 2013

Number na na 25 49 11 74 13 21 26 32 39 14

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.24 0.27 0.00 0.00 0.00 1.59 0.00 0.57 0.69 0.04

7 8 0 0 0 0 0 5 0 0 0 0 0 2 9 0 1 1 2011

Number na na 24 45 69 15 22 27 12 30 42 11 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

Cardiothoracic Surgeons Cardiothoracic Per 100,000 100,000 Per 0.23 0.24 0.00 0.00 0.00 1.43 0.00 0.51 0.70 0.04

6 7 0 0 0 0 0 5 0 0 0 0 0 3 8 0 1 1 2010

Number na na 23 41 64 13 19 24 11 26 37 11

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.09 0.12 0.00 0.00 0.00 0.75 0.00 0.27 0.12 0.00

2013 2010, 2011 & 2013 Number

2 5 7 0 0 0 0 0 0 3 0 0 0 8 0 0 2 2 0 0 0

na na 13 13 26 10 13 12 20

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.07 0.11 0.00 0.00 0.00 0.53 0.00 0.20 0.13 0.00

2011 Number 2 9 4 6 0 0 0 0 0 7 0 2 0 9 0 9 0 6 0 0 2 2 0 0 0 na na 10 19 15

Vascular Surgeons Vascular

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.07 0.11 0.00 0.00 0.00 0.48 0.00 0.19 0.13 0.00

2010 Number 2 9 4 6 0 0 0 0 0 7 0 1 0 8 0 9 0 5 0 0 2 2 0 0 0 na na 10 19 14 Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State Table 4.1.9 : Number & Density of Vascular Surgeons, Cardiothoracic Surgeons and Neurosurgeons in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative Surgeons and Neurosurgeons in Surgeons, Cardiothoracic Vascular 4.1.9 : Number & Density of Table Malaysia Selangor Malaysia Selangor Malaysia Selangor Perlis WP Putrajaya Perlis WP Putrajaya Perlis WP Putrajaya Kedah WPKL Kedah WPKL Kedah WPKL Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

72

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.36 0.00 0.16 0.59 0.12 0.26 0.00 0.13 0.11 0.18 2013 Number 0 3 0 1 0 4 0 4 5 0 5 4 5 0 4 9 0 0 4 2 0 2 4 2 0 2 5 1 6

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.00 0.16 0.72 0.06 0.21 0.00 0.07 0.06 0.19 0.43 2011 Number 0 3 0 1 0 4 0 2 6 0 6 2 5 0 2 7 0 0 2 1 0 1 2 2 0 2 7 0 7 na

Neurosurgeons

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.00 0.16 0.37 0.03 0.21 0.00 0.07 0.03 0.19 0.39 2010 Number 0 3 0 1 0 4 0 1 3 0 3 1 5 0 2 7 0 0 1 1 0 1 1 2 0 2 6 0 6

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.19 0.47 0.06 0.12 0.00 0.06 0.06 0.00 0.18

0 4 0 1 0 5 0 1 4 1 4 2 3 0 1 4 0 1 1 0 1 1 2 0 0 0 3 0 3

2013

Number na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.12 0.36 0.06 0.15 0.00 0.00 0.06 0.00 0.12

0 2 0 1 0 3 0 2 3 0 3 2 4 0 1 5 0 0 2 0 0 0 2 0 0 0 2 0 2

2011

Number na population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

Cardiothoracic Surgeons Cardiothoracic Per 100,000 100,000 Per 0.00 0.12 0.49 0.03 0.15 0.00 0.00 0.03 0.00 0.13

0 2 0 1 0 3 0 1 4 0 4 1 4 0 1 5 0 0 1 0 0 0 1 0 0 0 2 0 2 2010

Number na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.04 0.00 0.00 0.06 0.00 0.06 0.00 0.00 0.00

2013 Number 0 1 0 0 0 1 0 0 0 0 0 0 0 0 2 2 0 0 0 1 0 1 0 0 0 0 0 0 0

na

tor, 2010, 2011 & 2013 tor,

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.00 0.00 0.00 0.03 0.00 0.07 0.00 0.00 0.00

2011 Number 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 na

Vascular Surgeons Vascular

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.00 0.00 0.12 0.00 0.03 0.00 0.07 0.00 0.00 0.00

2010 Number 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 na Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Negeri Sembilan Sarawak Negeri Sembilan Sarawak Negeri Sembilan Sarawak Melaka Sabah Melaka Sabah Melaka Sabah Johor WP Labuan Johor WP Labuan Johor WP Labuan Pahang Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Table 4.1.9 [continued]: Number & Density of Vascular Surgeons, Cardiothoracic Surgeons and Neurosurgeons in Acute Curative Hospitals in Malaysia by State & Sec - by Hospitals in Malaysia Acute Curative Surgeons and Neurosurgeons in Surgeons, Cardiothoracic Vascular 4.1.9 [continued]: Number & Density of Table * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

73 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.02 0.00 0.12 0.00 0.00 0.00 0.07 0.02 0.23 Per 100,000 100,000 Per

2 2 0 0 1 0 1 0 0 0 2 2 0 0 0 0 0 0 0 0 0 5 7 2 4 3 3 4 2013

na na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.02 0.00 0.06 0.00 0.00 0.00 0.07 0.02 0.24 Per 100,000 100,000 Per

2 2 0 0 1 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 5 7 2 4 3 3 4 2011

na na Number Breast Surgeons

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.02 0.00 0.06 0.00 0.00 0.00 0.07 0.02 0.24 Per 100,000 100,000 Per

2 2 0 0 1 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 5 6 2 3 3 3 4 2010

na na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.69 3.64 0.07 0.00 0.12 0.00 0.00 0.00 0.25 0.09 Per 100,000 100,000 Per

3 9 3 3 4 4 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 7 7 2013

na na 12 19 28 12 21 Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.59 9.16 0.05 0.00 0.00 0.00 0.00 0.00 0.27 0.08 Per 100,000 100,000 Per

2 8 7 7 3 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 2011

na na 10 20 23 16 19 Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Breast & Endocrine Surgeons population

0.42 6.90 0.04 0.00 0.00 0.00 0.00 0.00 0.19 0.06 Per 100,000 100,000 Per

7 3 4 5 5 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 5 9 2010

na na 14 17 12 Number Sector * Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Total Private Private Public Public State WPKL WPKL WPKL WP Putrajaya WP Putrajaya WP Putrajaya Selangor Selangor Selangor Perak Table 4.1.10 : Number & Density of Breast & Endocrine Surgeons and Breast Surgeons in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative 4.1.10 : Number & Density of Breast Endocrine Surgeons and in Table Perak Perak Pulau Pinang Pulau Pinang Pulau Pinang Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah Kedah Kedah Perlis Perlis Perlis Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

74 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Per 100,000 100,000 Per

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2013

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.00 0.00 0.00 0.00 0.00 0.12 0.00 0.00 0.00 Per 100,000 100,000 Per

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 2011

na Number Breast Surgeons

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Per 100,000 100,000 Per

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2010

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.00 0.00 0.06 0.18 0.00 0.09 0.00 0.00 0.09 Per 100,000 100,000 Per

0 0 0 0 0 0 0 0 1 0 1 2 0 2 0 0 0 3 0 3 0 0 0 0 1 0 0 0 1 2013

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.00 0.00 0.06 0.09 0.00 0.03 0.00 0.00 0.00 Per 100,000 100,000 Per 2010, 2011 & 2013

0 0 0 0 0 0 0 0 1 0 1 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 2011

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Breast & Endocrine Surgeons population

0.00 0.00 0.00 0.06 0.10 0.00 0.03 0.00 0.00 0.00 Per 100,000 100,000 Per

0 0 0 0 0 0 0 0 1 0 1 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 2010

na Number Sector * Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Total Private Private Public Public State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.10 [continued]: Number & Density of Breast & Endocrine Surgeons and Breast Surgeons in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative 4.1.10 [continued]: Number & Density of Breast Endocrine Surgeons and in Table WP Labuan WP Labuan WP Labuan Sabah Sabah Sabah Sarawak Sarawak Sarawak Kelantan Kelantan Kelantan Terengganu Terengganu Terengganu Pahang Pahang Pahang Johor Johor Johor Melaka Melaka Melaka Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

75 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

5.02 0.58 1.39 0.00 0.36 0.33 1.13 0.16 0.43 0.00 Per 100,000 100,000 Per

0 0 2 0 2 2 0 2 0 4 4 0 1 2013 1 1 5 6 0 0 7

na 19 24 13 21 12 45 25 na 12 Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

4.04 0.50 1.24 0.00 0.35 0.32 1.11 0.16 0.51 0.00 Per 100,000 100,000 Per

0 0 2 0 2 2 0 2 0 4 4 0 1 2011 1 1 6 7 0 0 9 6

na 15 19 10 20 12 39 22 na Number Paediatric Surgeons Paediatric

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

4.05 0.50 1.19 0.00 0.35 0.32 1.11 0.32 0.44 0.00 Per 100,000 100,000 Per

9 0 0 2 0 2 2 0 2 1 3 4 1 1 2010 2 0 6 6 0 0 9 6

na 15 21 18 12 39 21 na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.24 0.49 0.00 0.05 0.04 0.68 0.21 0.24 0.00 Per 100,000 100,000 Per 1.33 0

0 1 0 1 1 0 1 5 6 2 3 2013 5 5 9 0 0

na 39 15 31 22 71 37 na 11 14 10 13 23 Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.23 0.48 0.00 0.05 0.05 0.38 0.21 0.27 0.00 Per 100,000 100,000 Per 1.18 2010, 2011 & 2013 0

0 1 0 1 1 0 1 3 3 6 2 3 5 2011 5 0 0 8

na 34 13 33 22 67 35 na 10 15 12 20 Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

Plastic & Reconstructive Surgeons Plastic & Reconstructive

0.23 0.47 0.00 0.05 0.05 0.38 0.21 0.24 0.00 Per 100,000 100,000 Per 1.25 0

0 1 0 1 1 0 1 3 3 6 2 3 5 2010 4 9 0 0 7

na 28 11 36 23 64 34 na 13 14 21 Number Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 4.1.11 : Number & Density of Plastic & Reconstructive Surgeons and Paediatric Surgeons in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative Surgeons in Surgeons and Paediatric 4.1.11 : Number & Density of Plastic Reconstructive Table Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WPKL WPKL WPKL * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

76 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.00 0.21 0.47 0.45 0.00 0.00 0.94 0.14 0.21 Per 100,000 100,000 Per

0 0 1 0 1 0 2 1 0 1 3 1 4 0 0 0 0 0 0 3 2 2013 5 1 0 1 1 1 2 0

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.00 0.11 0.00 0.33 0.22 0.00 0.75 0.14 0.11 Per 100,000 100,000 Per

0 0 1 0 0 0 1 0 0 0 2 1 3 1 0 1 0 0 0 2 2 2011 4 1 0 1 1 0 1 0

na Number Paediatric Surgeons Paediatric

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.00 0.10 0.46 0.33 0.22 0.00 0.60 0.14 0.10 Per 100,000 100,000 Per

0 0 1 0 0 0 1 1 0 1 2 1 3 1 0 1 0 0 0 2 1 2010 3 1 0 1 1 0 1 0

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.09 0.23 0.17 0.00 0.09 0.24 0.04 0.09 Per 100,000 100,000 Per 0.00

0 2 0 1 0 3 1 1 2 1 5 6 0 0 0 1 0 1 4 0 2013 4 0 1 1 2 1 3 0 0

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.15 0.12 0.15 0.00 0.09 0.43 0.04 0.15 Per 100,000 100,000 Per 0.00 2010, 2011 & 2013

0 4 0 1 0 5 0 1 1 3 2 5 0 0 0 1 0 1 7 0 7 2011 0 1 1 4 1 5 0 0

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

Plastic & Reconstructive Surgeons Plastic & Reconstructive

0.00 0.09 0.24 0.12 0.00 0.10 0.39 0.08 0.09 Per 100,000 100,000 Per 0.00

0 2 0 1 0 3 0 2 2 2 2 4 0 0 0 1 0 1 6 0 6 2010 0 2 2 2 1 3 0 0

na Number Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.11 [continued]: Number & Density of Plastic & Reconstructive Surgeons and Paediatric Surgeons in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative Surgeons in Surgeons and Paediatric 4.1.11 [continued]: Number & Density of Plastic Reconstructive Table Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

77

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

pediatric pediatric 9.40 6.53 5.44 5.54 7.73

45.68 18.89 20.02 11.21 36.91 Per 100,000 100,000 Per 4 4 2013

na 19 11 30 23 11

na 34 26 45 71 28 19 47 62 94 11 11 67

Number 173 414 179 314 161 728 340 156 106

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

pediatric pediatric 8.58 4.89 4.78 4.79 7.44

42.56 17.23 19.49 10.15 31.25 Per 100,000 100,000 Per 3 3 2011 8 8

na 17 10 27 20 10 na 30 29 41 70 27 20 47 53 87 56 Number 158 377 163 291 143 668 306 140 102

Paediatricians

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

pediatric pediatric 8.14 5.13 4.72 4.76 7.18 9.40

43.49 16.77 18.83 26.84 Per 100,000 100,000 Per 3 3 9 9 2010 6 6

na 18

27 21 na 30 25 43 68 26 19 45 51 78 91 70

Number 161 346 148 291 148 637 296 129

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

female female 6.16 4.90 5.00 4.98 8.38 5.48 7.53

20.00 10.53 15.98 Per 100,000 100,000 Per 6 6 2013 7 7

na 29 21 50 35 21 na 56

16 52 68 22 44 66 53 61

Number 170 345 121 544 264 889 385 155 208 109

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

female female 5.93 4.97 4.51 4.56 8.56 5.40 7.64

19.17 10.58 17.24 Per 100,000 100,000 Per 6 6 2011 7 7

na 23 21 44 29 21 na 50

16 52 68 21 43 64 53 57

Number 159 324 117 510 241 834 358 139 192 102 population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

Obstetricians & Gynaecologists

female female 5.66 9.66 4.25 4.26 4.26 8.47 5.75 6.71

18.72 18.32 Per 100,000 100,000 Per 5 5 2010 7 7

na 22 19 41 27 19 na 46 14 52 66 25 42 67 57 52 Number 154 319 116 461 222 780 338 120 177 102 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 4.1.12: Number & Density of Obstetricians & Gynaecologists and Paediatricians in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative in 4.1.12: Number & Density of Obstetricians Gynaecologists and Paediatricians Table Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WPKL WPKL WPKL Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya FSelangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.12 Table A3.2 & Table Appendix 3: population data, please refer For

78

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

pediatric pediatric 3.62 9.85 3.23 4.93 6.01 2.85 6.42 5.74 3.22

10.87 Per 100,000 100,000 Per 1

6 9 6 9 1 2013 5 6 1

13 25 14 27 31 14 23 26 18 44 21

27 na 10 29 34 26 14 40 24 30 Number

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

pediatric pediatric 0.00 2.64 9.77 4.96 4.24 2.29 5.78 5.35 2.71

10.14 Per 100,000 100,000 Per 0

5 8 6 7 1 8 5 2011 5 0

13 20 15 28 25 13 21 28 17 45 13 19 na 26 31 23 15 38 20 25 Number

Paediatricians

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

pediatric pediatric 0.00 8.11 2.19 9.27 4.39 4.42 2.39 6.23 4.77 2.24 Per 100,000 100,000 Per 0

4 7 6 7 1 8 6 2010 4 0

10 19 12 22 23 13 20 23 17 40 14

20 na 25 31 21 13 34 19 23 Number

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

female female 2.21 6.75 2.31 6.85 4.61 4.06 3.30 4.21 4.18 2.31 Per 100,000 100,000 Per 1

8 2 5 2013 1

13 22 22 17 35 39 21 29 24 52 76 17

13 30 16 na 18 30 35 21 31 52 21 17 38 Number

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

female female 2.30 6.35 2.39 6.04 5.04 3.49 2.47 3.61 4.12 2.39 Per 100,000 100,000 Per 2010, 2011 & 2013 1

5 2 5 2011 1

12 22 20 17 32 39 20 25 31 50 81 15

10 25 11 na 13 24 29 21 29 50 21 17 38 Number population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

Obstetricians & Gynaecologists

female female 2.38 5.69 2.39 6.61 4.11 3.26 2.17 3.66 3.59 2.39 Per 100,000 100,000 Per 1

9 7 1 6 2010 1

10 24 18 14 28 38 18 27 27 38 65 16 23 10 na 11 22 28 19 24 43 23 14 37 Number Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.12 [continued]: Number & Density of Obstetricians & Gynaecologists and Paediatricians in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative in 4.1.12 [continued]: Number & Density of Obstetricians Gynaecologists and Paediatricians Table Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya FSelangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.12 Table A3.2 & Table Appendix 3: population data, please refer For CHAPTER 4:

79 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

------population

9.76 2.53 4.55 1.66 1.53 1.55 3.93 2.13 2.88 Per 100,000 100,000 Per 10.91 4 0 4 2013 9 0 9

20

11 31 24 11 35 26 38 64 28 24 52 69 96 89 80

Number 169 414 167 339 176 753 343 165

population population - ­ - - ­ ------100,000 100,000

9.32 2.36 4.29 1.68 1.37 1.40 3.45 2.17 2.69 9.16 Per Per 4 4 2011 7 7

na 17 10 27 21 10 na 31 20 35 55 29 23 52 65 85 87 71 Number 158 381 159 303 156 684 315 150 Anaesthesiologists

- ­ - - ­ ------population

9.32 2.39 4.23 2.16 1.39 1.47 3.46 2.25 2.60 9.67 Per 100,000 100,000 Per 5 5 2010 7 7

na 16 11 27 21 11 na 32 19 35 54 31 22 53 64 78 87 69 Number 156 385 158 292 147 677 305 142

------population

2.14 0.55 0.90 0.83 0.54 0.57 0.43 0.33 0.49 3.64 Per 100,000 100,000 Per 0 0 2 2 0 0 7 0 7 8 0 2013 8 0 3 3 0

na 68 68 11 11 13 na 13 28 28 37 37 Number 164 164

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

- ­ - ­ - ­ - ­

2013 population Per 100,000 100,000 Per 0.35 0.60 0.84 0.25 0.32 0.31 0.21 0.30 2.62 1.48 0 0 2 2 5 0 5 7 0 7 4 0 4 5 0 2011 5 0 2 2 0

na 44 44 na 17 17 25 25 Number 101 101

- ­ ­ - - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Emergency Medicine Specialists Emergency population

0.33 0.53 0.86 0.26 0.32 0.26 0.21 0.29 1.38 Per 100,000 100,000 Per 1.25 0 0 2

2 5 0 5 7 0 7 4 0 4 5 0 5 2010 0 1 1 0

na 93 38 93 38 na 16 16 21 21 Number Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 4.1.13 : Number & Density of Emergency Medicine Specialists and Anaesthesiologists in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & State & Sector, by Hospitals in Malaysia Acute Curative Anaesthesiologists in Medicine Specialists and 4.1.13 : Number & Density of Emergency Table Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WPKL WPKL WPKL * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

80

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population ------

100,000 100,000 1.07 2.34 0.97 3.52 1.78 1.65 1.71 1.80 1.28 0.96 Per Per 1

8 7 1 2 2013 8 1 0

13 26 12 25 34 12 18 30 35 27 62 19

26 18 19 28 30 18 15 33 25 33 Number

population population ------100,000 100,000

1.11 1.92 0.79 3.24 1.76 1.51 1.21 1.80 1.27 0.78 Per Per 1

9 5 6 1 2 2011 5 1

11 22 20 27 10 17 27 35 25 60 17 23 12 na 13 27 29 18 14 32 21 26 Number

Anaesthesiologists

population ------

100,000 100,000 1.15 1.86 0.82 3.41 1.79 1.53 1.25 1.82 1.42 0.81 Per Per 1

9 4 5 1 3 2010 4 1

10 23 19 27 11 17 28 35 25 60 18

23 12 na 13 25 28 22 13 35 22 26 Number

population ------

100,000 100,000 0.00 0.56 0.37 0.59 0.26 0.45 0.45 0.90 0.31 0.38 Per Per 0 6

0 0 6 5 0 5 9 0 9 7 0 7 5 0 5 0 2013 8 0 8 0 0

13 13

na 15 15 13 13 Number

population ------0 100,000 100,000

0.29 0.15 0.36 0.15 0.20 0.37 0.93 0.12 0.15 Per Per 2010, 2011 & 2013

0 3 5 0 0 3 5 3 0 3 5 0 5 3 0 3 4 0 4 0 2011 3 0 3 5 0 5 0

na 15 15 Number population ------

Emergency Medicine Specialists Emergency

100,000 100,000 0.00 0.29 0.12 0.37 0.15 0.20 0.39 0.91 0.12 0.12 Per Per

0 3 4 0 0 3 4 3 0 3 5 0 5 3 0 3 4 0 4 0 2010 3 0 3 4 0 4 0

na 14 14 Number Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.13 [continued]: Number & Density of Emergency Medicine Specialists and Anaesthesiologists in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative Anaesthesiologists in Medicine Specialists and 4.1.13 [continued]: Number & Density of Emergency Table Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

81 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- - - ­ - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ population

3.58 1.09 1.80 1.24 0.89 0.93 1.54 0.99 1.19 7.27 Per 100,000 100,000 Per 3 3 6 6 7 2013 6 6

na 62 58 78 12 18 15 na 21 18 25 14 10 24 25 43 68 27 35 Number 167 158 325 136

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population population

3.72 1.02 1.78 1.68 0.76 0.86 1.38 0.92 1.13 6.54 Per 100,000 100,000 Per 4 4 9 6 6 4 2011 5 5

na 63 61 70 15 13 na 19 18 22 12 10 22 23 40 63 33 30 Number 153 142 295 131 Otorhinolaryngologists

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

3.70 1.01 1.25 1.30 0.77 0.83 1.47 0.85 1.03 5.52 Per 100,000 100,000 Per 3 3 5 5 5 2010 4 4

na 62 54 68 90 10 15 13 na 18 18 23 10 10 20 21 35 56 29 33 Number 147 139 286

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

1.45 2.59 1.24 0.89 0.93 2.15 1.31 2.03 4.85 Per 100,000 100,000 Per 4.33 3 3 5 5 2013 4 4

na 90 13 18 16 na 21 10 25 35 16 16 32 54 62 47 28 75 Number 245 105 185 430 195 116

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

1.32 2.45 1.26 0.91 0.95 1.82 0.92 1.85 5.24 Per 100,000 100,000 Per 4.31 3 3 7 7 9 8 2011 4 4

na 63 40 11 18 14 na 21 20 29 14 22 51 52 44 29 73 Number 218 164 382 180 103 Ophthalmologists

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

1.32 2.34 1.30 0.98 1.01 1.99 1.06 1.70 4.14 Per 100,000 100,000 Per 4.36 3 3 6 6 2010 3 3

na 90 79 13 19 16 na 22 10 21 31 11 14 25 47 46 93 40 33 73 Number 216 159 375 169 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 4.1.14 : Number & Density of Ophthalmologists and Otorhinolaryngologists in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative 4.1.14 : Number & Density of Ophthalmologists and Otorhinolaryngologists in Table Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WPKL WPKL WPKL * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

82

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - - - ­ - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­ - - ­

100,000 100,000 0.00 1.12 0.31 1.76 0.81 1.14 0.45 1.14 0.43 0.32 Per Per 0 7

9 5 2 5 7 4 1 5 2013 2 6 5 9 2 0

12 11 10 15 14 14 28 11

18 na 17 19 11 11 Number

population population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

100,000 100,000 0.00 0.86 0.26 1.56 0.68 0.92 0.47 1.05 0.44 0.27 Per Per

0 4 7 5 2 9 9 4 9 4 5 0 5 2 2011 6 5 7 2 9 0

13 12 11 23 10 14 na 15 17 11 Number

Otorhinolaryngologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

100,000 100,000 0.00 0.98 0.30 1.71 0.66 0.93 0.58 1.10 0.40 0.31 Per Per 0 5

8 5 2 5 9 4 6 0 6 2 2010 4 6 8 2 0

10 10 14 12 10 22 10

14 na 15 17 10 10 Number

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

100,000 100,000 0.00 1.68 0.51 2.11 0.75 0.95 0.72 1.26 0.89 0.53 Per Per 0

7 6 7 4 8 0 8 2 2013 9 6 0

11 12 18 18 11 18 16 10 26 11

15 na 19 21 14 23 12 18 Number

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

100,000 100,000 0.00 1.44 0.50 2.16 0.65 0.92 0.65 1.18 0.72 0.51 Per Per 2010, 2011 & 2013 0 9

6 6 7 9 2 7 0 7 1 2011 7 6 0

11 15 17 11 18 13 22 12 14 na 18 19 11 18 11 17 Number

Ophthalmologists

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

100,000 100,000 0.00 1.47 0.55 2.07 0.66 1.00 0.58 1.23 0.65 0.56 Per Per 0 9

6 6 6 8 3 6 0 6 1 2010 4 6 0

12 15 18 11 17 14 22 12 15 na 18 19 12 16 12 18 Number Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.14 [continued]: Number & Density of Ophthalmologists and Otorhinolaryngologists in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative 4.1.14 [continued]: Number & Density of Ophthalmologists and Otorhinolaryngologists in Table Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

83

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.04 0.16 0.19 0.00 0.00 0.05 0.92 0.04 0.36 0.06 2013 Number 9 4 2 0 0 0 0 1 0 2 1 1 0 4 1 1 0 1 1 0 1

na na 44 48 11 14 16 23 27

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.13 0.18 0.00 0.00 0.00 0.83 0.00 0.33 0.06 0.08 2011 Number 9 3 1 0 0 0 0 0 0 2 0 0 0 3 0 1 0 1 2 0 2

na na 34 37 10 12 14 21 24

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.12 0.16 0.00 0.00 0.00 0.90 0.00 0.33 0.06 0.04

Rehabilitation Medicine Specialists 2010 Number 8 4 1 9 0 0 0 0 0 0 3 0 0 0 4 0 1 0 1 1 0 1

na na 30 34 12 15 20 24

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.06 0.09 0.00 0.00 0.00 0.46 0.00 0.00 0.00 0.04

5 0 0 5 0 0 0 0 0 8 0 0 0 8 0 0 0 0 0 0 0 0 0 1 0 1 2013

Number na na 18 18

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.03 0.05 0.00 0.00 0.00 0.24 0.00 0.10 0.00 0.04

3 0 0 3 0 0 0 0 0 4 0 0 0 4 0 7 0 0 0 7 0 0 0 1 0 1 2011

Number na na 10 10

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Sports Medicine Specialists 100,000 Per 0.03 0.05 0.00 0.00 0.00 0.24 0.00 0.10 0.00 0.00

2010

Number 9 3 0 0 9 3 0 0 0 0 0 4 0 0 0 4 0 7 0 0 0 7 0 0 0 0 0 0

na na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 2.04 2.08 1.66 7.27 1.43 7.33 1.46 3.34 3.07 2.01

2013

4 6 4 6

Number na na 38 81 15 61 14 66 29 19 14 33 13 37 50 23 26 49

288 319 607 119 127 105 147 252

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 1.94 1.95 1.68 9.16 1.47 7.08 1.49 3.21 2.70 1.84 sia by State & Sector, 2010, 2011 & 2013 State & Sector, sia by

2011 Number 4 7 4 7

na na 42 67 15 63 14 57 29 19 14 33 10 33 43 20 24 44

279 283 562 109 120 112 124 236

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

Orthopaedic Surgeons Per 100,000 100,000 Per 1.90 1.89 1.73 6.90 1.33 7.05 1.38 3.13 2.82 1.74

2010

4 5 4 5 Number na na 41 62 12 60 14 58 26 16 14 30 11 33 44 18 23 41 268 269 537 103 118 106 120 226 Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State Malaysia Selangor Malaysia Selangor Malaysia Selangor Perlis WP Putrajaya Perlis WP Putrajaya Perlis WP Putrajaya Kedah WPKL Kedah WPKL Kedah WPKL Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Kedah & Perlis Kedah Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak - Hospitals in Malay Acute Curative 4.1.15 : Number & Density of Orthopaedic Surgeons, Sports Medicine Specialists and Rehabilitation in Table * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

84

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.12 0.47 0.04 0.23 0.06 0.09 0.00 0.13 0.06 0.09 2013 Number 5 1 0 0 5 1 2 2 0 0 2 2 3 0 0 3 0 2 2 0 0 2 2 1 0 1 2 0 2

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per

0.48 0.00 0.00 0.03 0.09 0.00 0.00 0.03 0.00 0.06 2011 Number 5 0 0 0 5 0 0 1 0 0 0 1 3 0 0 3 0 0 1 0 0 0 1 0 0 0 1 0 1

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.39 0.00 0.00 0.03 0.06 0.00 0.00 0.03 0.00 0.06

Rehabilitation Medicine Specialists 2010 Number 4 0 0 0 4 0 0 1 0 0 0 1 2 0 0 2 0 0 1 0 0 0 1 0 0 0 1 0 1

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.09 0.00 0.12 0.03 0.00 0.00 0.00 0.03 0.00 0.06

1 0 0 0 1 0 1 1 0 0 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 1

2013

Number na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 0.10 0.00 0.00 0.03 0.00 0.00 0.00 0.03 0.00 0.00

1 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0

2011

Number na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Sports Medicine Specialists 100,000 Per 0.10 0.00 0.00 0.03 0.00 0.00 0.00 0.03 0.00 0.00

2010

Number 1 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0

na

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 2.52 1.09 3.05 0.67 1.50 1.07 1.46 0.68 0.90 1.98

2013

8 7 1 1 7 9 1 4

Number na 13 17 14 11 27 28 16 18 26 23 22 30 52 13 17 10 23 24 10 29 33

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Per 100,000 100,000 Per 2.11 1.07 2.64 0.60 1.41 0.00 1.51 0.59 0.93 2.11

2011 Number 8 6 7 0 0 9 7 9 1 4

na 15 14 12 22 27 13 16 22 20 23 25 48 14 13 23 20 10 30 34 in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by in Malaysia

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

Orthopaedic Surgeons Per 100,000 100,000 Per 2.25 1.05 2.44 0.47 1.31 0.00 1.53 0.46 0.97 2.27

2010

8 6 9 6 0 0 9 4 6 9 1 4 Number na 16 15 10 23 26 14 20 15 19 25 44 19 23 15 10 31 35 Sector * Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Public Private Private Total Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Negeri Sembilan Sarawak Negeri Sembilan Sarawak Negeri Sembilan Sarawak Melaka Sabah Melaka Sabah Melaka Sabah Johor WP Labuan Johor WP Labuan Johor WP Labuan Pahang Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Pahang Sabah & WP Labuan Sabah & Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Table 4.1.15 [continued]: Number & Density of Orthopaedic Surgeons, Sports Medicine Specialists and Rehabilitation Medicine Specialists in Acute Curative Hospitals Acute Curative 4.1.15 [continued]: Number & Density of Orthopaedic Surgeons, Sports Medicine Specialists and Rehabilitation in Table * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

85 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

1.56 0.29 0.56 0.00 0.00 0.00 0.80 0.16 0.19 4.85 Per 100,000 100,000 Per

0 0 0 0 0 0 0 0 2 0 4 2013 4 0 4 4 8

na 27 37 23 48 19 85 42

na 11 13 11 11 19 Number

population population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

100,000 100,000 1.42 0.23 0.46 0.00 0.00 0.00 0.82 0.08 0.18 0.00 Per Per

0 0 0 0 0 0 0 0 2 0 2 2011 2 0 0 0 5

na 24 30 19 38 15 68 34 na 11 13 10 10 19 Number Oncologists

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

1.55 0.24 0.49 0.00 0.00 0.00 0.77 0.09 0.16 0.00 Per 100,000 100,000 Per

0 0 0 0 0 0 0 0 2 0 2 2010 2 0 9 9 0 0 5

na 26 33 21 34 14 67 35 na 10 12 21 Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

3.93 0.81 1.55 0.83 0.59 0.62 0.92 0.66 0.80 3.64 Per 100,000 100,000 Per 2 2 9 3 3 8 7 4 2013 3 3

na 83 58 34 12 11 na 14 15 12 16 26 20 46 54 14 68 Number 184 242 117

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.73 1.37 0.84 0.41 0.45 0.82 0.54 0.70 3.93 Per 100,000 100,000 Per 3.48 2 2 6 2 8 8 2 7 6 3 2011 3 3

na 74 48 27 na 10 13 10 13 24 15 39 47 12 59 Number 162 210 101 Psychiatrists ‡ Psychiatrists

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.73 1.39 0.86 0.46 0.50 1.02 0.51 0.68 2.76 Per 100,000 100,000 Per 3.64 2 2 7 2 9 9 2 6 9 3 2010 2 2

na 70 49 30 na 11 10 16 12 25 12 37 43 18 61 Number 157 206 100 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 4.1.16 : Number & Density of Psychiatrists and Oncologists in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative and Oncologists in 4.1.16 : Number & Density of Psychiatrists Table Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WPKL WPKL WPKL Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For hospitals only. in the acute curative psychiatrists shows table above The in the NHSI database. institutions) is available hospitals and psychiatric in the country (i.e. both acute curative ‡ Data on the total number of hospital psychiatrists

86 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.47 0.09 0.59 0.14 0.06 0.00 0.12 0.19 0.09 Per 100,000 100,000 Per

0 0 2 5 1 5 3 0 5 5 2 3 5 1 0 1 0 0 0 2 0 2013 2 5 0 5 2 1 3 0

na Number

population population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

100,000 100,000 0.00 0.29 0.06 0.60 0.09 0.07 0.00 0.12 0.12 0.06 Per Per

0 0 1 3 1 3 2 0 5 5 2 1 3 1 0 1 0 0 0 0 2 2011 2 3 0 3 1 1 2 0

na Number Oncologists

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.29 0.06 0.37 0.12 0.07 0.00 0.13 0.12 0.06 Per 100,000 100,000 Per

0 1 1 2 1 3 2 0 3 3 2 2 4 1 0 1 0 0 0 2 0 2010 2 3 0 3 1 1 2 0

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.75 0.20 1.17 0.49 0.57 0.63 0.90 0.27 0.20 Per 100,000 100,000 Per

6 6 2 1 8 7 7 3 2 9 0 9 7 0 7 0 2013 5 2 7 6 1 7 0 0

10 15 17 na 15 15 Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.77 0.12 0.72 0.38 0.72 0.56 1.05 0.32 0.12 Per 100,000 100,000 Per 0.00

6 3 2 1 8 4 3 3 6 2 0 6 0 6 0 2011 6 2 8 3 1 4 0 0

11 13 11 11 na 17 17 Number Psychiatrists ‡ Psychiatrists

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.78 0.12 0.85 0.33 0.73 0.39 1.04 0.24 0.12 Per 100,000 100,000 Per 0.00

6 3 2 1 8 4 4 3 7 0 0 4 0 4 0 2010 4 2 6 3 1 4 0 0

11 11 11 11 na 16 16 Number Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.16 [continued]: Number & Density of Psychiatrists and Oncologists in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative and Oncologists in 4.1.16 [continued]: Number & Density of Psychiatrists Table Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For hospitals only. in the acute curative psychiatrists shows table above The in the NHSI database. institutions) is available hospitals and psychiatric in the country (i.e. both acute curative ‡ Data on the total number of hospital psychiatrists CHAPTER 4:

87 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ ­ - ­ - - ­ - ­ - ­ - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - population

0.40 0.07 0.17 0.00 0.00 0.00 0.18 0.00 0.07 2.42 Per 100,000 100,000 Per

7 8 7 5 0 0 0 0 0 0 0 0 2 1 3 0 0 2013 0 0 4 4 2 2 6 1

na 15 22 13 na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population population

0.24 0.05 0.11 0.00 0.00 0.00 0.19 0.00 0.07 0.00 Per 100,000 100,000 Per

4 8 7 7 1 8 0 0 0 0 0 0 0 0 2 1 3 0 0 2011 0 4 0 4 0 0 3 1

na 15 na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Nuclear Medicine Specialists population

0.30 0.05 0.12 0.00 0.00 0.00 0.19 0.00 0.07 0.00 Per 100,000 100,000 Per

5 6 2 9 7 9 0 0 0 0 0 0 0 0 1 2 3 0 0 2010 0 0 4 4 0 0 2 3

na 15 na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

1.56 2.73 1.24 1.09 1.10 2.39 1.19 1.61 7.27 Per 100,000 100,000 Per 6.24 3 3 7 7 2013 6 6

na 81 15 22 18 na 25 13 26 39 15 14 29 50 42 92 69 39 Number 278 125 185 463 206 108

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

1.43 2.52 0.84 0.91 0.90 2.26 1.13 1.51 5.24 Per 100,000 100,000 Per 5.72 2 2 7 7 2011 4 4

na 73 11 18 13 na 20 13 23 36 13 14 27 43 41 84 65 32 97 Number 247 112 166 413 185 Radiologists

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

1.38 2.47 0.86 0.92 0.92 2.18 1.11 1.48 6.90 Per 100,000 100,000 Per 5.49 2 2 7 7 2010 5 5

na 76 11 18 13 na 20 12 22 34 14 12 26 44 37 81 53 39 92 Number 234 102 158 392 178 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 4.1.17 : Number & Density of Radiologists and Nuclear Medicine Specialists in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative 4.1.17 : Number & Density of Radiologists and Nuclear Medicine Specialists in Table Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WPKL WPKL WPKL * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

88 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ ­ - ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - - ­ ­ - population

0.00 0.00 0.03 0.00 0.06 0.00 0.00 0.06 0.08 0.03 Per 100,000 100,000 Per

0 0 1 0 0 0 1 0 0 0 1 1 2 0 0 0 0 0 0 1 0 2013 1 2 0 2 1 0 1 0

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population population

0.00 0.00 0.00 0.00 0.06 0.00 0.00 0.06 0.04 0.00 Per 100,000 100,000 Per

0 0 0 0 0 0 0 0 0 0 1 1 2 0 0 0 0 0 0 1 0 2011 1 1 0 1 0 0 0 0

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ Nuclear Medicine Specialists population

0.00 0.00 0.00 0.00 0.03 0.00 0.00 0.06 0.04 0.00 Per 100,000 100,000 Per

0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 2010 1 1 0 1 0 0 0 0

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

2.06 0.40 2.35 1.01 1.27 0.81 1.26 0.89 0.38 Per 100,000 100,000 Per 1.07

9 2 9 5 8 1 9 1 2013 2 1 1

13 12 22 14 11 20 16 19 35 15 20 na 20 21 12 11 23 11 13 Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

1.44 0.41 1.68 1.00 1.05 0.74 1.18 0.99 0.42 Per 100,000 100,000 Per 0.00 2010, 2011 & 2013 7

8 2 5 9 3 8 0 8 1 2011 2 0 0

12 15 14 14 19 15 34 13 16 na 18 19 14 11 25 12 14 Number Radiologists

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

1.47 0.33 1.71 0.93 1.13 0.58 1.17 0.89 0.34 Per 100,000 100,000 Per 0.00 9 9

6 2 7 7 3 6 0 6 1 2010 9 9 2 0 0

15 11 14 18 13 31 14 17 na 17 18 13 22 11 Number Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.17 [continued]: Number & Density of Radiologists and Nuclear Medicine Specialists in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative 4.1.17 [continued]: Number & Density of Radiologists and Nuclear Medicine Specialists in Table Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan * Public sector in 2010 & 2011 refers to MOH and University hospitals, while public sector in 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

89 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.10 0.08 0.12 0.04 0.05 0.00 0.20 0.11 0.52 Per 100,000 100,000 Per

0 9 0 0 6 0 6 2 0 2 2 0 2 1 0 1 1 0 1 0 0 0 0 9 2013

na na 15

33 15 33 Number

population population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

100,000 100,000 0.00 0.11 0.04 0.13 0.00 0.05 0.00 0.19 0.09 0.47 Per Per

0 8 0 0 6 0 6 1 0 1 2 0 2 0 0 0 1 0 1 0 0 0 0 8 2011

na na 14 26 14 26 Number Forensic Pathologists Forensic

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.00 0.09 0.04 0.06 0.05 0.05 0.00 0.19 0.10 0.54 Per 100,000 100,000 Per

0 9 0 0 5 0 5 1 0 1 1 0 1 1 0 1 1 0 1 0 0 0 0 9 2010

na na 14

27 14 27 Number

population population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

100,000 100,000 8.48 1.08 0.74 1.04 0.80 0.74 1.24 2.23 1.25 5.72 Per Per 7 7 2 3 0 0 3 0 3

2013

na

13 86 62 16 46 18 16 17 14 18 18 15 15 29 40 99

Number 168 372 139 332

population population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

100,000 100,000 5.24 0.95 0.63 0.69 0.54 0.46 1.26 2.25 1.11 6.37 Per Per 4 4 2 2 9 0 9 0 9 3 0 3

2011

na 16 92 53 17 36 15 13 11 12 12 33 43 Number 165 321 132 278 108

Pathologists ‡ Pathologists

population population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­

100,000 100,000 5.08 6.90 1.08 0.60 0.77 0.50 0.41 1.30 2.07 1.06 Per Per 5 5 1 2 0 8 0 8 3 0 3

2010

na 85 17 68 59 16 43 14 13 12 10 11 11 33 43 Number 149 299 116 256 Sector * Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Total Public Private Public State Table 4.1.18 : Number & Density of Pathologists and Forensic Pathologists in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative in Pathologists and Forensic 4.1.18 : Number & Density of Pathologists Table WPKL WPKL WPKL WP Putrajaya WP Putrajaya WP Putrajaya Selangor Selangor Selangor Perak Perak Perak Pulau Pinang Pulau Pinang Pulau Pinang Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah Kedah Kedah Perlis Perlis Perlis Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Malaysia Malaysia Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University and metabolic medicine) medical microbiology, haematology, biochemistry, AND its subspecialties (anatomical pathology, refer to specialists from the discipline of pathology ‡ Pathologists A3.1 Table Appendix 3: population data, please refer For

90 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.06 0.08 0.06 0.09 0.13 0.09 0.12 0.06 0.09 0.00 Per 100,000 100,000 Per

0 2 0 2 2 0 2 1 0 1 1 0 1 2 0 2 3 0 3 1 0 2 1 0 1 0 2 1 0 2013

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population population

0.03 0.00 0.06 0.00 0.13 0.06 0.12 0.03 0.10 0.00 Per 100,000 100,000 Per

0 1 0 1 0 0 0 1 0 1 0 0 0 2 0 2 2 0 2 1 0 1 1 0 1 0 1 1 0 2011

na Number Forensic Pathologists Forensic

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population

0.03 0.04 0.06 0.00 0.20 0.06 0.12 0.03 0.10 0.00 Per 100,000 100,000 Per

0 1 0 1 1 0 1 1 0 1 0 0 0 3 0 3 2 0 2 1 0 1 1 0 1 0 1 1 0 2010

na Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population population

0.00 0.41 0.43 2.94 1.08 1.02 0.60 1.64 0.40 1.31 Per 100,000 100,000 Per

0 0 0 2 9 0 0 0 0 4 0 0 2013

na 14 14 11 49 49 12 12 16 16 21 21 14 14 10 14 14 14 Number

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population population

0.00 0.30 0.32 2.91 0.84 0.72 0.38 1.20 0.29 0.96 Per 100,000 100,000 Per

0 0 0 8 3 5 0 9 0 9 0 0 3 7 0 0 2011

na 10 10 47 47 11 11 13 13 10 10 10 10 10 Number Pathologists ‡ Pathologists

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ population population

0.00 0.34 0.28 2.47 1.06 0.73 0.45 1.10 0.33 1.08 Per 100,000 100,000 Per

0 0 1 7 4 3 0 0 0 0 9 2 7 1 0 2010

na 11 10 38 38 11 11 11 11 15 15 11 11 10 11 Number Sector * Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Public Total Private Total Public Private Total Private Public Public State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.1.18 [continued]: Number & Density of Pathologists and Forensic Pathologists in Acute Curative Hospitals in Malaysia by State & Sector, 2010, 2011 & 2013 State & Sector, by Hospitals in Malaysia Acute Curative in Pathologists and Forensic 4.1.18 [continued]: Number & Density of Pathologists Table WP Labuan WP Labuan WP Labuan Sabah Sabah Sabah Sarawak Sarawak Sarawak Kelantan Kelantan Kelantan Terengganu Terengganu Terengganu Pahang Pahang Pahang Johor Johor Johor Melaka Melaka Sabah & WP Labuan Sabah & Melaka Sabah & WP Labuan Sabah & Negeri Sembilan Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Abbreviation: - not available; na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2013 refers to MOH, University, hospitals, while * Public sector in 2010 & 2011 refers to MOH and University and metabolic medicine) medical microbiology, haematology, biochemistry, AND its subspecialties (anatomical pathology, refer to specialists from the discipline of pathology ‡ Pathologists A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

91

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 population - ­ - ­ ­ - - ­ - ­ - ­ ­ - ­ - - ­ - ­ ­ - - - ­ - ­ -

- - ­ - ­

- ­ ­ ­

na Per 100,000 100,000 Per 71.43 82.45 89.06 72.19 73.99 86.77 80.16 51.99 178.74 174.55

2013 na na Number Number 215 215 108 108 880 533 217 888 144 144 751 6,217

3,096 4,578 3,342 1,639 1,351 1,459 1,566 1,674 1,413 1,736 1,953 2,089 2,977 2,345

21,227 17,885 population - ­ ------­ ------

- - ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­

na Per 100,000 100,000 Per 63.06 72.88 81.45 61.15 63.32 81.85 77.17 44.88 162.40 133.50

2012 na na 88 88 Number Number 195 195 826 493 190 719 106 106 701 2,877

2,783 4,005 1,420 5,425 1,133 1,221 1,328 1,416 1,319 1,675 1,865 1,817 2,536 2,082

18,503 15,626 population - ­ - ­ - ­ ------­ - ­ - ­ ------

- - ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­

na Per 100,000 100,000 Per 60.42 65.30 73.68 61.00 62.37 69.88 55.33 33.39 159.78 299.74 Total Staff Nurses with Post Basic Training Basic Staff Nurses with Post Total

2011 na na 82 82 Number Number 175 175 714 400 171 678 229 229 749 2,708 3,372 2,755 1,427 4,799 1,122 1,204 1,297 1,379 1,114 1,156 1,327 1,184 1,862 1,959 17,502 14,747

- ­ - ­ ­ - ­ - - ­ ­ - ­ - ­ - - population - -

- -

- -

- -

- - ­ ­ ­ ­ ­ ­ ­ ­ ­ ­

na Per 100,000 100,000 Per 229.25 305.34 234.88 196.18 200.31 308.27 204.58 192.96 637.59 1128.48

2013

na na Number Number 567 567 619 619 931 931

8,967 3,346 3,965 3,913 4,532 2,566 2,454 5,020 3,933 1,052 4,985 6,204 4,844 6,920 4,123 17,582 68,123

50,541 14,055 23,022 11,048 11,043 population ­ - ­ - ­ ------

- ­ - - - -

- - - -

- - ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­

na Per 100,000 100,000 Per 216.88 289.37 228.91 179.64 184.91 337.10 185.91 182.72 688.92 622.61

2012 na na Number Number 548 548 522 522 972 547 547 8,363 3,065 3,587 3,613 4,135 3,036 2,395 5,431 3,521 4,493 5,767 4,558 6,863 3,805

16,314 63,625 47,311 13,177

21,540 10,325 10,668 Total Staff Nurses Total population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ ­ - ­ - - ­ - ­ - - ­ - ­ - ­

-

­

na Per 100,000 100,000 Per 191.43 249.01 228.63 172.40 178.44 223.96 185.31 149.74 647.91 557.76

2011 na na Number Number 543 543 465 465 765 495 495 6,793 2,937 3,402 3,480 3,945 2,060 1,509 3,569 3,678 4,443 4,727 3,625 8,352 6,283 3,168 9,451 12,851 55,448 42,597 11,505 18,298 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 4.2 : Number & Density of Total Staff Nurses and Staff Nurses with Post-basic Training in Acute Curative Hospitals in Malaysia by State & Sector, 2011-2013 State & Sector, by Hospitals in Malaysia Acute Curative in Training Staff Nurses and with Post-basic Total 4.2 : Number & Density of Table Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

92

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ ­ - - ­ - ­ - ­ - ­ - ­ - ­ - ­ -

- ­ - ­ - ­ - ­ Per 100,000 100,000 Per 62.17 71.65 41.66 58.30 63.90 82.16 82.00 60.81 41.10 100.66

7

2013 58 42 na 68 56 Number Number 82 42 58 607 160 767 737 121 858 309 937 907 914

1,425 1,467 1,718 2,027 1,005 1,310 1,366 1,484 1,566 1,367 1,409

population - ­ - ­ - ­ - ­ - ­ ­ - ­ - - ­ - ­ - ­ - ­ - - ­

- - - -

- - - ­ ­ ­ ­ ­ ­ Per 100,000 100,000 Per 58.95 64.73 38.73 77.39 48.98 52.83 73.57 75.10 49.52 38.19

3

2012 54 28 94 na 51 38 Number Number 55 28 54 543 141 684 558 652 276 767 818 801 804

1,314 1,342 1,409 1,685 1,194 1,232 1,206 1,261 1,260 1,288

population - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ ­ - ­ - - - ­

- ­ ------­

­ ­ ­ ­ ­ ­ Per 100,000 100,000 Per 59.02 58.97 46.62 84.27 48.33 68.07 82.50 74.54 47.93 46.29 Total Staff Nurses with Post Basic Training Basic Staff Nurses with Post Total

1

2011 53 26 57 na 53 43 Number Number 84 26 53 474 141 615 645 702 270 985 885 886 1,562 1,588 1,374 1,644 1,038 1,161 1,204 1,122 1,206 1,509 1,535

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - population Per 100,000 100,000 Per 241.08 172.76 266.66 180.08 211.99 167.64 220.90 174.17 173.96 128.62

2013

na 48 Number Number 835 204 805 339 198 502 204 120 120

1,745 5,880 2,580 6,084 1,468 2,273 4,703 1,559 6,262 2,995 3,334 1,817 1,865 3,482 3,680 3,984 4,486 5,760 5,964

population ­ - ­ - ­ - - - ­

- -

-

- - - ­

------­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ Per 100,000 100,000 Per 221.46 165.71 251.63 168.64 206.66 163.88 205.07 144.28 166.77 126.64

2012 na 45 Number Number 787 202 767 302 188 400 202 116 116 2011-2013 1,552 5,537 2,339 5,739 1,353 2,120 4,429 1,371 5,800 2,898 3,200 1,746 1,791 3,176 3,364 3,273 3,673 5,421 5,623

Total Staff Nurses Total

population - ­ ­ - - ­ ­ - -

- - ­

------­ - ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ Per 100,000 100,000 Per 208.52 133.76 204.92 164.67 170.12 188.08 199.48 131.84 133.88 129.18

2011 na 35 Number Number 657 151 483 256 178 483 151 116 116 1,518 4,405 2,175 4,556 1,224 1,707 4,526 1,076 5,602 2,338 2,594 1,985 2,020 3,044 3,222 2,834 3,317 4,289 4,440 Sector * Public Public Private Private Total Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.2 [continued]: Number & Density of Total Staff Nurses and Staff Nurses with Post-basic Training in Acute Curative Hospitals in Malaysia by State & Sector, State & Sector, by Hospitals in Malaysia Acute Curative in Training Staff Nurses and with Post-basic Total 4.2 [continued]: Number & Density of Table Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Negeri Sembilan Sabah & WP Labuan Sabah & Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

93

National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

population - ­ - ­ - ­ - ­ - ­ - - ­ - ­ - ­ - ­ - ­ ­ - ­ - ­ - - ­ - ­ - ­ - - ­ - ­ 100,000 100,000

7.45 9.07 9.55 8.11 5.26 Per Per 13.11 20.30 10.70 11.21 40.00

4 0 2013 1 1 1 2 2 Number na na 14 49 49 33 33 227 557 561 192 193 241 242 131 132 273 273 299 301 225

2,680 2,694

population - ­ - ­ - ­ - ­ - ­ - - ­ - ­ ­ - - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - - ­ - ­ 100,000 100,000

6.64 8.59 9.36 7.45 4.53 Per Per 12.35 18.80 10.37 11.63 34.01

0 0 2012

6 1 1 1 6 18 Number na na 45 45 27 27 212 489 495 186 187 231 232 119 120 281 281 256 256 206

2,522

2,504

population - ­ - ­ - ­ - ­ - ­ - - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - - ­ - ­ 100,000 100,000

9.05 5.03 8.53 8.26 9.77 8.72 3.60

Total AMO with Post Basic Training Basic AMO with Post Total Per Per 22.32 10.09 19.63

0 2011 3 1 1 1 2 1 Number na na 18 53 53 15 15 153 366 369 162 163 215 216 138 139 242 242 199 201 152

2,453 2,471

population - ­ - ­ - ­ - ­ - ­ - - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - - ­ - ­

100,000 100,000 Per Per 31.63 18.11 22.10 41.84 22.36 24.44 26.10 22.78 13.07 83.64

0 2013 3 3 9 8 Number na na 41 80 33 69 69 548 101 101 449 452 550 553 416 425 555 555 715 748 540

1,324 1,365 6,488 6,568

population - ­ - ­ - ­ - ­ - ­ - - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - - ­ - ­

100,000 100,000 Per Per 29.18 17.63 21.51 44.28 22.49 24.82 26.44 22.72 13.36 71.79

0 2012 2 2 5 9 Number na na 25 70 16 57 57 Total AMO Total 500 106 106 447 449 553 555 421 426 549 549 739 755 491

1,287 1,312 6,241 6,311

population - ­ - ­ - ­ - ­ - ­ - - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ ­ - - - ­ - ­

100,000 100,000 Per Per 23.29 15.95 20.94 42.11 22.15 24.29 23.97 21.56 12.97 70.68 Malaysia by State & Sector, 2011-2013 State & Sector, by Malaysia

0 2011 3 3 3 Number na na 31 65 19 54 54 12 395 100 100 434 437 534 537 379 382 517 517 704 723 383 6,066 1,141 1,172 6,001 Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Table 4.3: Number & Density of Total Assistant Medical Officers (AMO) and Assistant Medical Officers with Post-basic Training in Acute Curative Hospitals in Acute Curative Training in Post-basic Assistant Medical Officers with Assistant Medical Officers (AMO) and Total 4.3: Number & Density of Table Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Malaysia Malaysia Malaysia Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

94 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - - ­ - ­

population Per 100,000 100,000 Per 8.39 7.62 9.62 7.44 7.50 7.44 13.61 10.30 10.14 12.23

0 0 0 0 - - 2013 5 2 1 7 7 Number na 85 90 116 116 263 265 161 162 107 107 169 169 315 315 255 255 262 262

- ­ - ­ - ­ ­ - - ­ - ­ - ­ - ­ - ­ ­ - - ­ - ­ - ­ - ­ - ­ - ­ - ­ - - ­ - ­

population Per 100,000 100,000 Per 7.55 7.09 9.62 9.24 7.50 7.64 7.51 12.23 10.00 11.50

0 0 0 0 0 - 2012 5 2 3 7 7 Number na 75 80 103 103 242 244 149 149 101 101 164 164 290 293 253 253 260 260

- ­ - ­ - ­ - ­ - ­ - ­ ­ - ­ - - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - - ­ - ­

population Per 100,000 100,000 Per 8.63 6.61 9.97 9.47 9.74 9.81 Total AMO with Post Basic Training Basic AMO with Post Total 17.05 10.89 11.60 12.25

0 0 0 0 - 2011 2 1 3 7 Number na 88 90 11 11 141 142 222 225 152 152 117 117 153 153 285 292 323 323 334 334

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - - ­ - ­ population Per 100,000 100,000 Per 26.42 29.33 17.11 26.20 23.91 22.75 25.21 23.69 25.72 23.74

0 0 0 2013 4 4 2 2 1 Number na 14 24 24 269 283 246 250 591 595 410 412 266 266 377 379 648 649 812 812 836 836

- ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - - ­ - ­ population Per 100,000 100,000 Per 27.60 27.66 16.83 25.77 22.87 22.68 23.73 21.24 26.20 21.37

0 0 0 2012 9 3 1 2 8 Number na 15 24 24 Total AMO Total 283 292 230 233 564 579 398 399 250 250 370 372 596 604 716 716 740 740

- ­ - ­ ­ - ­ - - ­ - ­ - ­ - ­ - ­ - ­ ­ - ­ - - ­ - ­ ­ - ­ - ­ - - - ­ - ­ population Per 100,000 100,000 Per 24.42 30.61 15.89 29.18 22.35 21.24 26.19 21.02 25.61 21.14

0 0 0 2011 5 4 3 2 1 Number na 13 23 23 Hospitals in Malaysia by State & Sector, 2011-2013 State & Sector, by Hospitals in Malaysia 250 255 251 255 538 541 443 445 240 240 342 343 646 659 697 697 720 720 Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Total Private Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.3 [continued]: Number & Density of Total Assistant Medical Officers (AMO) and Assistant Medical Officers with Post-basic Training in Acute Curative Acute Curative Training in Post-basic Assistant Medical Officers with Assistant Medical Officers (AMO) and Total 4.3 [continued]: Number & Density of Table Negeri Sembilan Negeri Sembilan Negeri Sembilan Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

95 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ 7 2 9 9 3 4 ­

19 24 47 na na 128 2013 Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ ­ - - ­ ­ - - ­ - ­ 7 1 8 2 0 -

- -

- ­ ­ ­ ­ 10 20 25 45 na na 120 2012 Number Total Radiographer with Post Basic with Post Radiographer Total Training in Computer Tomography (CT) Tomography in Computer Training - ­ - ­ - ­ - ­ - ­ ­ - - ­ - ­ - ­ - ­ - ­ - ­ ­ - 0 1 1 3 0 6 1 6

- ­ - ­ - ­ -

- ­ ­ 31 13 na na 2013 Number - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ ­ - 0 0 0 3 0 3 0 4 7

- - - ­ ­ ­ 24 na na Training in Mammography Training 2012 Number Total Radiographer with Post Basic with Post Radiographer Total - ­ - ­ ­ - ­ - ­ - ­ - ­ -

-

- -

- - -

- ­ - ­ - - - ­ ­ ­ ­ ­ ­ ­ ­ ­ na na 8.11 8.57 9.15 8.03 10.96 12.43 15.27 72.73 36.71 15.33 Per Per 100,000 2013 na na 30 30 30 30 51 60 60 839 134 164 164 194 133 116 249 172 223 255 205 460 442 194 636 757 399 2,419 3,258 1,156 Number - ­ ­ - - ­ ­ - ­ - - ­ - - - - ­

- -

- - - ­ - ­

- - ­ ­ ­ ­ ­ ­ ­ ­ ­ na na 7.66 8.18 8.86 7.83 10.52 12.53 15.17 34.01 35.80 14.55 Per Per Total Radiographer Total 100,000 2012 na na 30 30 21 21 99 45 27 27 736 132 153 162 183 145 244 169 214 255 187 442 437 176 613 719 364 2,351 3,087 1,083 Number Curative Hospitals in Malaysia by State & Sector, 2012-2013 State & Sector, by Hospitals in Malaysia Curative Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State Malaysia Malaysia Malaysia Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala WP Kuala Lumpur WP Kuala Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Selangor & WP Putrajaya & WP Kuala Lumpur WP Kuala & WP Putrajaya Selangor & Table 4.4 : Number & Density of Total Radiographers, and Number of Radiographers with Post-basic Training in Mammography / Computer Tomography (CT) in Acute (CT) in Tomography / Computer in Mammography Training with Post-basic and Number of Radiographers Radiographers, Total 4.4 : Number & Density of Table * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For

96 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ - ­ ­ - ­ - ­ - ­ - ­ - 3 2 ­ 5 7 9 8 0

-

-

­ ­ 12 14 14 na 2013 Number - ­ ­ - - ­ ­ - 3 2 3 7 8 7 0

- ­ - ­ ------­ - ­

­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ 12 13 13 na 2012 Number Total Radiographer with Post Basic with Post Radiographer Total Training in Computer Tomography (CT) Tomography in Computer Training - ­ - ­ - ­ ­ - ­ - ­ - ­ - 2 1 3 2 1 1 3 1 0 1 - ­ - - - - ­

- ­ - -

- ­

- ­ - ­ - ­ ­ ­ ­ ­ ­ na 2013 Number - ­ - ­ - ­ - ­ - ­ - ­ ­ - ­ - - ­ - ­ - ­ 2 1 3 2 1 1 3 1 0 1 - ­ - - ­

- ­ - ­ - ­ - - ­ ­ ­ na Training in Mammography Training 2012 Number Total Radiographer with Post Basic with Post Radiographer Total - ­ - ­ - ­ - ­ ­ - ­ - ­ - ­ - - ­

- -

- ­

------­ ­ ­ ­ ­ ­ ­ ­ ­ na 9.67 8.84 8.00 8.52 9.92 7.21 5.36 7.16 11.61 11.61 Per Per 100,000 2013 3 9 5 5 na 88 36 57 42 99 77 19 86 89 48 10 10 124 259 336 120 139 133 142 208 256 237 247 242 252 Number - ­ ­ - ­ - ­ - - ­ - ­ - ­ - ­ - ­ ­ -

- - - ­ - ­ - ­

- - - - ­ ­ ­ ­ ­ ­ na 9.38 8.65 7.78 8.41 9.45 6.64 4.37 6.58 11.86 10.56 Per Per Total Radiographer Total 100,000 2012 2 8 4 4 na 89 36 55 34 89 60 18 83 85 39 10 10 125 263 323 116 134 130 138 202 241 214 224 218 228 Number (CT) in Acute Curative Hospitals in Malaysia by State & Sector, 2012-2013 State & Sector, by Hospitals in Malaysia Acute Curative (CT) in Sector Sector * Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total State HOSPITAL HEALTH WORKFORCE HEALTH HOSPITAL Table 4.4 [continued]: Number & Density of Total Radiographers, and Number of Radiographers with Post-basic Training in Mammography / Computer Tomography Tomography / Computer in Mammography Training with Post-basic and Number of Radiographers Radiographers, Total 4.4 [continued]: Number & Density of Table Negeri Sembilan Negeri Sembilan Negeri Sembilan Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & * Public sector in 2011 refers to MOH and University hospitals, while public sector in 2012 & 2013 refers to MOH, University, and MOD hospitals. na - not applicable Abbreviation: - not available; Valley. referred to as Klang WPKL are also collectively & WP Putrajaya Selangor & and MOD hospitals. public sector in 2012 & 2013 refers to MOH, University, hospitals, while * Public sector in 2011 refers to MOH and University A3.1 Table Appendix 3: population data, please refer For CHAPTER 4:

97 This page intentionally left blank Appendices National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

APPENDIX 1 | DEFINITION OF NHEWS (HOSPITAL) TERMINOLOGY

Acute Curative Care Comprises health care contacts during which the principal intent is to relieve symptoms of illness or injury, to reduce the severity of an illness or injury, or to protect against exacerbation and/or complication of an illness that could threaten life or normal function. Other functions of care such as rehabilitative care, long-term care and palliative care are excluded. (OECD Health Statistics 2014)

Hospital An institution that primarily provides inpatient services (diagnostic and therapeutic); catering for a variety of medical conditions- both surgical and non surgical.

Non-Specialist Hospital A hospital without permanent or resident specialists that provides services including medicine and surgery to meet the general medical and surgical needs of the community.

Specialist Hospital A hospital with permanent or resident specialists that provides services including medicine, surgery, and other specialty services to meet the medical and surgical needs of the community.

Hospital with Tertiary Services A hospital with more than 20 resident specialties or subspecialties services.

Hospital with Secondary Services A hospital that provides up to 20 resident specialties or subspecialties services.

Special Institutions A hospital that provides only specific resident specialty service(s).

Maternity Centre A hospital that is used or intended to be used for the provision of obstetric and/ or gynaecological care that extends beyond care in a normal pregnancy/ labour/ post-partum period/ normal newborns, and may offer the conduct of deliveries besides spontaneous vertex deliveries.

Name of Establishment A name by which the establishment is identified; as approved or licensed by the Ministry of Health Malaysia (Medical Practice Division - CKAPS).

Address A location where the establishment operates; as approved or licensed by the Ministry of Health Malaysia (Medical Practice Division - CKAPS). The location information includes postcode, city/ town, district, and state.

New Establishment A hospital that was established in either 2012 or 2013 (the survey years for the latest NHEWS- Hospital survey). The survey recorded the date (in month and year) during which the establishment began operating.

100 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Gazetted Inpatient Beds Hospital beds that can be used for patients admitted for diagnostic and/or therapeutic purposes. Both occupied and vacant beds on any given day are counted.

Include: • Cots/bassinets set aside for babies requiring special care at Special Care Nursery (SCN), and Neonatal Intensive Care Unit (NICU).

Exclude: • Beds in treatment rooms • Beds in examining rooms • Beds in emergency rooms • Beds in physical/occupational therapy departments • Beds in labour rooms • Beds in observation or recovery rooms • Cots/bassinets for normal newborns in obstetric (postnatal) wards

Gazetted Functioning Inpatient Beds Hospital beds that are readily available to take in patients and provide care according to the manpower and equipments available for that bed. Exclude beds in the ward(s) that are gazetted, but not used or are yet to be used for actual service.

Non-gazetted Functioning Inpatient Beds Additional non-gazetted (non-official) beds to take in patients and provide care when needed.

Inpatient Admission The formal acceptance by a hospital of a patient who will occupy a hospital bed, cot or bassinet for observation, care, diagnosis or treatment, and will have a medical record maintained for him/ her. Day case admission is excluded.

Total Length of Stay (TLOS) (in days) The sum of number of days each inpatient stayed for the duration of a particular year (for all diagnoses/admissions of that particular year)

Average Length of Stay (ALOS) (in days) The average number of days that inpatients (excluding newborns) remained in the hospital.

Sum of length of stay of discharged patients for a given ALOS = period Total number of discharged patients in the same period DEFINITION OF TERMINOLOGY DEFINITION OF APPENDIX 1:

101 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Bed Occupancy Rate (BOR) (%) • The percentage of inpatient beds (that are set up, staffed and available for care) being occupied for a given period of time. Also known as the percentage of occupancy.

Inpatient days of care x 100 BOR = Bed days available where: • Inpatient days of care refers to the sum of each daily inpatient census for the given period. • Bed days available refers to the maximum number of inpatient days of care that would have been provided if all beds were filled during the given period, and takes into account changes in the number of beds available for use during the same period.

For example: Hospital Z had 300 beds from July 1st to February 28th. The number of beds providing services was increased to 350 beds from March 1st to June 30th.

The bed days available is calculated as: • 300 beds x 243 days = 72,900 (July 1st to February 28th) • 350 beds x 122 days = 42,700 (March 1st to June 30th) • Total bed days available = 72,900 + 42,700 = 115,600

Turnover Interval (TOI) (in days)

Average period in days that an available bed remains empty between the discharge of one inpatient and the admission of the next.

Total number of inpatient beds x 365.25 TOI = – ALOS Total number of inpatient admissions

Emergency Department Visits All red, yellow & green zone visits to a hospital emergency department.

General Outpatient Department (OPD) Visits All general OPD visits; only applicable to hospitals with a dedicated general outpatient department.

Specialist Outpatient Clinic Visits The sum of all outpatient visits to all specialist clinics in a hospital; excluding emergency department & general OPD visits

102 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Mammogram Machine Equipment that functions to perform mammography (either analogue or digital)

Total Mammograms Total number of mammography (both screening and diagnostic) performed for the particular year.

Total Screening Mammograms The number of mammography performed for screening purpose only.

Medical Doctor A fully registered medical practitioner with the Malaysian Medical Council. This may refer to a clinical specialist or a medical officer, but not a house officer.

Specialist A registered medical practitioner who holds a postgraduate qualification recognised by both the Ministry of Health and the Public Service Department Malaysia; and has the necessary core clinical competence and core procedural skills as expected of doctors with the responding recognised postgraduate qualification.

Permanent / Resident Doctor An in-house medical practitioner (specialist/medical officer) who is available to diagnose and treat patients in a hospital, and he/she is a permanent staff of the hospital.

Visiting Doctor A medical practitioner (specialist/medical officer) who is available to diagnose and treat patients in a hospital, but he/she is not a permanent staff of the hospital. Such medical practitioner may make regular visits (e.g. monthly/biweekly/weekly etc) to see patients in the hospital or is accessible on an ad-hoc or emergency basis only.

Nurse A registered nurse with the Malaysian Nursing Board who holds a degree/diploma qualification.

Nurse with Post-basic Training A registered nurse with the Malaysian Nursing Board who holds a degree/diploma qualification, and has post-basic training.

Assistant Medical Officer A registered assistant medical officer with the Malaysian Medical Assistant Board.

Assistant Medical Officer with Post-basic Training A registered assistant medical officer with the Malaysian Medical Assistant Board who has post basic training.

Radiographer A radiographer with a recognised degree/diploma qualification. DEFINITION OF TERMINOLOGY DEFINITION OF APPENDIX 1:

103 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Post-basic Training Formal and accredited training aimed at enhancing competency of healthcare professionals. Upon completion, one is awarded with a certification and recognition in providing high quality specialised care in the trained discipline. On-the-job training does not fulfil this definition hence excluded.

Radiographer with Post-basic Training in Mammography A radiographer with a recognised degree/diploma qualification, and has post-basic training in mammography.

Radiographer with Post-basic Training in Computer Tomography (CT) Scan A radiographer with a recognised degree/diploma qualification, and has post-basic training in CT Scan.

104 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

APPENDIX 2.1 | PARTICIPANTS FOR NHEWS (HOSPITAL) 2012

HOSPITAL SECTOR: PUBLIC/ MINISTRY OF HEALTH

Perlis 1. Hospital Tuanku Fauziah, Kangar

Wilayah Persekutuan Putrajaya 1. Hospital Putrajaya

Wilayah Persekutuan Labuan 1 Hospital Labuan

Wilayah Persekutuan Kuala Lumpur 1. Institut Perubatan Respiratori 3. Hospital Kuala Lumpur 2. Hospital Rehabilitasi Cheras

Melaka 1. Hospital Jasin 3. Hospital Melaka 2. Hospital Alor Gajah

Pulau Pinang 1. Hospital Balik Pulau 4. Hospital Pulau Pinang 2. Hospital Bukit Mertajam 5. Hospital Seberang Jaya 3. Hospital Kepala Batas 6. Hospital Sungai Bakap

Negeri Sembilan 1. Hospital Jelebu 4. Hospital Tampin 2. Hospital Jempol 5. Hospital Tuanku Jaafar, Seremban 3. Hospital Port Dickson 6. Hospital Tuanku Ampuan Najihah, Kuala Pilah

Terengganu 1. Hospital Besut 4. Hospital Kemaman 2. Hospital Dungun 5. Hospital Setiu 3. Hospital Hulu Terengganu 6. Hospital Sultanah Nur Zahirah, Kuala Terengganu

Kelantan 1. Hospital Gua Musang 6. Hospital Raja Perempuan Zainab II, Kota Bharu 2. Hospital Jeli 7. Hospital Tanah Merah 3. Hospital Kuala Krai 8. Hospital Tengku Anis, Pasir Puteh

4. Hospital Machang 9. Hospital Tumpat 2012 OF NHEWS (HOSPITAL) PARTICIPANTS 5. Hospital Pasir Mas APPENDIX 2:

105 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Kedah 1. Hospital Langkawi 6. Hospital Sik 2. Hospital Jitra 7. Hospital Sultan Abdul Halim, Sungai Petani 3. Hospital Kuala Nerang 8. Hospital Sultanah Bahiyah, Alor Setar 4. Hospital Kulim 9. Hospital Yan 5. Hospital Baling

Selangor 1. Hospital Ampang 7. Hospital Serdang 2. Hospital Banting 8. Hospital Sungai Buloh 3. Hospital Kuala Kubu Bharu 9. Hospital Tanjong Karang 4. Hospital Selayang 10. Hospital Kajang 5. Hospital Tengku Ampuan Jemaah, Sabak 11. Hospital Orang Asli Gombak Bernam 6. Hospital Tengku Ampuan Rahimah, Klang

Pahang 1. Hospital Bentong 6. Hospital Pekan 2. Hospital Jengka 7. Hospital Raub 3. Hospital Jerantut 8. Hospital Sultan Haji Ahmad Shah, Temerloh 4. Hospital Kuala Lipis 9. Hospital Tengku Ampuan Afzan, Kuantan 5. Hospital Sultanah Hajjah Kalsom, Tanah 10. Hospital Muadzam Shah, Rompin Rata Cameron Highlands

Johor 1. Hospital Sultanah Nora Ismail, Batu Pahat 7. Hospital Sultanah Aminah, Johor Bahru 2. Hospital Kluang 8. Hospital Pakar Sultanah Fatimah, Muar (Hospital Enche’ Besar Hajjah Khalsom) 3. Hospital Sultan Ismail, Johor Bahru 9. Hospital Kota Tinggi 4. Hospital Mersing 10. Hospital Tangkak 5. Hospital Pontian 11. Hospital Segamat 6. Hospital Temenggung Seri Maharaja Tun Ibrahim, Kulai

106 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Perak 1. Hospital Batu Gajah 8. Hospital Seri Manjung 2. Hospital Changkat Melintang 9. Hospital Slim River 3. Hospital Gerik 10. Hospital Sungai Siput 4. Hospital Raja Permaisuri Bainun, 11. Hospital Taiping 5. Hospital Kampar 12. Hospital Tapah 6. Hospital Kuala Kangsar 13. Hospital Teluk Intan 7. Hospital Parit Buntar 14. Hospital Selama

Sarawak 1. Hospital Daerah Bau 12. Hospital Miri 2. Hospital Betong 13. Hospital Sentosa 3. Hospital Sri Aman 14. Hospital Saratok 4. Hospital Bintulu 15. Hospital Serian 5. Hospital Daro 16. Hospital Sibu 6. Hospital Kanowit 17. Hospital Simunjan 7. Hospital Kapit 18. Hospital Rajah Charles Brooke Memorial 8. Hospital Daerah Lawas 19. Hospital Umum Sarawak 9. Hospital Limbang 20. Hospital Sarikei 10. Hospital Daerah Lundu 21. Hospital Dalat 11. Hospital Marudi

Sabah 1. Hospital Beaufort 13. Hospital Queen Elizabeth, Kota Kinabalu 2. Hospital Beluran 14. Hospital Ranau 3. Hospital Duchess of Kent, Sandakan 15. Hospital Semporna 4. Hospital Keningau 16. Hospital Likas 5. Hospital Kinabatangan 17. Hospital Tambunan 6. Hospital Tenom 18. Hospital Tawau 7. Hospital Kota Marudu 19. Hospital Sipitang 8. Hospital Kudat 20. Hospital Tuaran 9. Hospital Kunak 21. Hospital Pitas 10. Hospital Lahad Datu 22. Hospital Kuala Penyu 11. Hospital Papar 23. Hospital Queen Elizabeth II 12. Hospital Kota Belud

HOSPITAL SECTOR: PUBLIC/ MINISTRY OF HEALTH/ PSYCHIATRIC INSTITUTION

1. Hospital Bahagia, Ulu Kinta, Perak 3. Hospital Permai, Johor 2. Hospital Sentosa, Sarawak 4. Hospital Mesra, Bukit Padang, Sabah PARTICIPANTS OF NHEWS (HOSPITAL) 2012 OF NHEWS (HOSPITAL) PARTICIPANTS APPENDIX 2:

107 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

HOSPITAL SECTOR: PUBLIC/ UNIVERSITY

1. Pusat Perubatan Universiti Kebangsaan 3. Hospital Universiti Sains Malaysia Malaysia (PPUKM), WPKL (HUSM), Kubang Kerian, Kelantan 2. Pusat Perubatan Universiti Malaya (PPUM), WPKL

HOSPITAL SECTOR: PUBLIC/ MINISTRY OF DEFENCE

1. Hospital Angkatan Tentera Darat, Negeri 3. Hospital Angkatan Tentera Terendak, Sembilan Melaka 2. Hospital Angkatan Tentera Kuala Lumpur 4. Hospital Angkatan Tentera Lumut, Perak

108 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

HOSPITAL SECTOR: PRIVATE

Terengganu 1. Kuala Terengganu Specialist Hospital

Kelantan 1. Perdana Specialist Hospital 3. Pusat Perubatan An-Nisa’ 2. Kota Bharu Medical Centre

Melaka 1. Putra Specialist Hospital (Melaka) 3. Mahkota Medical Centre 2. Pantai Hospital, Ayer Keroh 4. Damai Medical and Heart Clinic

Pahang 1. Kuantan Medical Centre 5. Darul Makmur Medical Centre Sdn. Bhd 2. Kuantan Specialist Hospital 6. Sethu Medical Centre 3. Klinik Pakar Wanita Chan 7. Dr S.T. Chong, Maternity and Surgery 4. W. Y. Ko Specialist Maternity and 8. Pusat Rawatan Keluarga MUIP Sdn. Bhd. Gynaecology Centre

Kedah 1. Kedah Medical Centre 5. Metro Specialist Hospital 2. INS Specialist Centre 6. Pantai Hospital, Sg. Petani 3. Pusat Pakar Amanjaya 7. Chang & Koh Maternity & Fertility Centre Sdn. Bhd. 4. Putra Medical Centre 8. Wisma Pakar Perbidanan & Sakit Puan

Sabah 1. Damai Specialist Hospital (Kota Kinabalu 3. Kota Kinabalu Specialist Centre Specialist Hospital Sdn Bhd) 2. Sabah Medical Centre 4. Tawau Maternity and Specialist Hospital Sdn. Bhd

Sarawak 1. Columbia Asia Hospital-Miri 6. Bintulu Medical Centre 2. Rejang Medical Centre 7. Columbia Asia Hospital-Bintulu 3. Miri City Medical Centre 8. Helen Ngu Women Hospital 4. Timberland Medical Centre 9. Ong Specialist Centre 5. Sibu Specialist Medical Centre

Negeri Sembilan 1. Columbia Asia Hospital Rawatan 5. Columbia Asia Medical Centre, Lanjutan Seremban Seremban 2. N.S. Chinese Maternity Hospital & 6. Seremban Specialist Hospital Medical Centre PARTICIPANTS OF NHEWS (HOSPITAL) 2012 OF NHEWS (HOSPITAL) PARTICIPANTS 3. Senawang Specialist Hospital 7. Mawar Renal Medical Centre 4. NCI Hospital 8. Hospital Bersalin Sukhilmi APPENDIX 2:

109 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

HOSPITAL SECTOR: PRIVATE

Perak 1. Columbia Asia Taiping Hospital 8. The Perak Chinese Maternity Association(Perak Community Specialist Hospital) 2. Fatimah Hospital 9. Kinta medical Centre Sdn. Bhd. 3. Taiping Medical Centre 10. Pusat Perubatan UNIKL-RCMP 4. KPJ Ipoh Specialist Hospital 11. Pantai Hospital Ipoh 5. Yeak Maternity & Gynae Centre Sdn. Bhd 12. Sri Manjung Specialist Centre Sdn. Bhd. 6. Tan Specialist Maternity Centre Sdn. Bhd. 13. Klinik Bersalin Yasmin 7. Sejati Maternity and Specialist Centre

Pulau Pinang 1. Island Hospital 8. Loh Guan Lye Specialists Centre 2. Pantai Hospital Pulau Pinang 9. Pulau Pinang Adventist Hospital (Adventist Hospital & Clinic Services (M) 3. Lam Wah Ee Hospital 10. KPJ Penang Specialist Hospital 4. Tanjung Medical Centre 11. Gleneagles Penang 5. K.S. Wan & Liow Specialist Maternity 12. Tan & Tan Specialist Maternity Centre Centre Sdn. Bhd 6. Public Specialist Centre

Johor 1. Century Specialist Maternity Sdn Bhd 10. Pantai Hospital Batu Pahat 2. Columbia Asia Hospital - Nusajaya 11. Pelangi Medical Centre Sdn.Bhd 3. Hoo Specialists Maternity & Surgery Sdn 12. Pusat Pakar Perbidanan & Sakit Puan Bhd Raja 4. Hospital Waqaf An-Nur Pasir Gudang 13. Pusat Pakar Sakit Puan dan Perbidanan Khor & Loh Sdn.Bhd 5. JB Specialist Hospital Sdn. Bhd (Formerly 14. Puteri Specialist Hospital known as Hospital Pakar Siow Sdn Bhd) 6. Johor Jaya Maternity Centre Sdn Bhd 15. Specialist Women's Hospital Sdn Bhd 7. Kempas Medical Centre 16. Tan Klinik Pakar Perbidanan 8. Kluang Utama Specialist Hospital 17. Tey Maternity Specialist & Gynae Centre Sdn Bhd 9. KPJ Johor Specialist Hospital

110 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Wilayah Persekutuan Kuala Lumpur 1. Prince Court Medical Centre 15. Gleneagles Hospital, Kuala Lumpur 2. Hospital Pakar KPJ Tawakal (KPJ Tawakal 16. Institut Jantung Negara Sdn Bhd Specialist Hospital) 3. Tung Shin Hospital 17. University Malaya Specialist Centre (UMSC) 4. Lourdes Medical Centre 18. Kuala Lumpur Sports Medicine Centre (KLSMC) 5. Al-Islam Specialist Hospital 19. Hospital Aman (M). Sdn. Bhd. 6. Pantai Hospital, Cheras 20. Dato Harnam E.N.T. Specialist Clinic 7. Pantai Hospital, Kuala Lumpur 21. Universiti Kebangsaan Malaysia Specialist Centre (UKMSC) 8. Damai Service Hospital (HQ) 22. IHEAL Medical Centre Kuala Lumpur 9. Sentosa Medical Centre Sdn. Bhd. 23. Beverly Wilshire Medical Centre 10. Pusat Perubatan Naluri Sdn. Bhd 24. Columbia Asia Hospital Setapak 11. Taman Desa Medical Centre (TDMC 25. Coop Medical Centre (Sambhi Clinic Hospital Sdn Bhd) Sdn. Bhd.) 12. Cheras Specialist Maternity Centre 26. Roopi Medical centre 13. Klinik Pakar Wanita Kepong dan Pusat 27. Pudu Specialist Centre Bersalin 14. Sentul Medical Centre

Selangor 1. Az-Zahrah Islamic Medical Centre 19. KPJ Damansara Specialist Hospital 2. Columbia Asia Hospital Puchong 20. Sime Darby Medical Centre Subang Jaya 3. KPJ Selangor Specialist Hospital 21. Hospital Pakar An-Nur Hasanah Sdn Bhd 4. Tun Hussein Onn National Eye Hospital 22. KPJ Ampang Puteri Specialist Hospital 5. Pantai Hospital, Ampang 23. Klinik Pakar Wanita & Bersalin Subang Permai 6. Sri Kota Specialist Medical Centre 24. KPJ Kajang Specialist Hospital 7. Columbia Asia Hospital – Cheras 25. DEMC Specialist Hospital, Shah Alam 8. Columbia Asia Bukit Rimau 26. KPJ Klang Specialist Hospital 9. Pusat Perubatan Kohilal Sdn. Bhd. 27. Hospital Sungai Long 10. Assunta Hospital 28. Shah Alam Specialist Hospital (Salam Medical Centre Sdn. Bhd) 11. Sime Darby Medical Centre Ara 29. Beacon International Specialist Damansara (Wijaya International Medical Centre Sdn. Bhd.) 12. QHC Medical Centre 30. UMRA Medical Services Sdn. Bhd 13. JMC Specialist Medical Centre 31. Pusat Bersalin Barakah (Klinik Damo & Pusat Bersalin). 14. Hospital Wanita Metro (Klang) 32. Hospital Wanita Metro (Banting) 15. Pusat Perubatan Damansara Damai 33. Britannia Women & Children Specialist Centre 16. Hospital Bersalin Razif 34. Pristine Women Medical Centre

(Pusat Pakar dan Bersalin Selayang) 2012 OF NHEWS (HOSPITAL) PARTICIPANTS 17. Lam Surgery & Maternity Home 35. Tropicana Medical Centre (M) Sdn Bhd 18. Joe Medical Centre 36. Columbia Asia Extended Care Hospital- Shah Alam APPENDIX 2:

111 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

APPENDIX 2.2 | PARTICIPANTS FOR NHEWS (HOSPITAL) 2013

HOSPITAL SECTOR: PUBLIC/ MINISTRY OF HEALTH

Perlis 1. Hospital Tuanku Fauziah, Kangar

Wilayah Persekutuan Putrajaya 1. Hospital Putrajaya 2. Institut Kanser Negara

Wilayah Persekutuan Labuan 1. Hospital Labuan

Wilayah Persekutuan Kuala Lumpur 1. Institute Perubatan Respiratori 3. Hospital Kuala Lumpur 2. Hospital Rehabilitasi, Cheras

Melaka 1. Hospital Jasin 3. Hospital Melaka 2. Hospital Alor Gajah

Pulau Pinang 1. Hospital Balik Pulau 4. Hospital Pulau Pinang 2. Hospital Bukit Mertajam 5. Hospital Seberang Jaya 3. Hospital Kepala Batas 6. Hospital Sungai Bakap

Negeri Sembilan 1. Hospital Jelebu 4. Hospital Tampin 2. Hospital Jempol 5. Hospital Tuanku Jaafar, Seremban 3. Hospital Port Dickson 6. Hospital Tuanku Ampuan Najihah, Kuala Pilah

Terengganu 1. Hospital Besut 4. Hospital Kemaman 2. Hospital Dungun 5. Hospital Setiu 3. Hospital Hulu Terengganu 6. Hospital Sultanah Nur Zahirah, Kuala Terengganu

Kelantan 1. Hospital Gua Musang 6. Hospital Raja Perempuan Zainab II, Kota Bharu 2. Hospital Jeli 7. Hospital Tanah Merah 3. Hospital Kuala Krai 8. Hospital Tengku Anis, Pasir Puteh 4. Hospital Machang 9. Hospital Tumpat 5. Hospital Pasir Mas

112 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Kedah 1. Hospital Langkawi 6. Hospital Sik 2. Hospital Jitra 7. Hospital Sultan Abdul Halim, Sungai Petani 3. Hospital Kuala Nerang 8. Hospital Sultanah Bahiyah, Alor Setar 4. Hospital Kulim 9. Hospital Yan 5. Hospital Baling

Selangor 1. Hospital Ampang 7. Hospital Serdang 2.. Hospital Banting 8. Hospital Sungai Buloh 3. Hospital Kuala Kubu Bharu 9. Hospital Tanjong Karang 4. Hospital Selayang 10. Hospital Kajang 5. Hospital Tengku Ampuan Jemaah, Sabak 11. Hospital Orang Asli Gombak Bernam 6. Hospital Tengku Ampuan Rahimah, Klang

Pahang 1. Hospital Bentong 6. Hospital Pekan 2. Hospital Jengka 7. Hospital Raub 3. Hospital Jerantut 8. Hospital Sultan Haji Ahmad Shah, Temerloh 4. Hospital Kuala Lipis 9. Hospital Tengku Ampuan Afzan, Kuantan 5. Hospital Sultanah Hajjah Kalsom, Tanah 10. Hospital Muadzam Shah, Rompin Rata Cameron Highlands

Johor 1. Hospital Sultanah Nora Ismail, Batu Pahat 7. Hospital Sultanah Aminah, Johor Bahru 2. Hospital Kluang 8. Hospital Pakar Sultanah Fatimah, Muar (Hospital Enche’ Besar Hajjah Khalsom) 3. Hospital Sultan Ismail, Johor Bahru 9. Hospital Kota Tinggi 4. Hospital Mersing 10. Hospital Tangkak 5. Hospital Pontian 11. Hospital Segamat 6. Hospital Temenggung Seri Maharaja Tun Ibrahim, Kulai

Perak 1. Hospital Slim River 7. Hospital Seri Manjung 2. Hospital Changkat Melintang 8. Hospital Sungai Siput 3. Hospital Parit Buntar 9. Hospital Tapah

4. Hospital Raja Permaisuri Bainun, Ipoh 10. Hospital Teluk Intan 2013 OF NHEWS (HOSPITAL) PARTICIPANTS 5. Hospital Kampar 11. Hospital Selama 6. Hospital Kuala Kangsar APPENDIX 2:

113 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Sarawak 1. Hospital Daerah Bau 12. Hospital Miri 2. Hospital Betong 13. Hospital Sentosa 3. Hospital Sri Aman 14. Hospital Saratok 4. Hospital Bintulu 15. Hospital Serian 5. Hospital Daro 16. Hospital Sibu 6. Hospital Kanowit 17. Hospital Simunjan 7. Hospital Kapit 18. Hospital Rajah Charles Brooke Memorial 8. Hospital Daerah Lawas 19. Hospital Umum Sarawak 9. Hospital Limbang 20. Hospital Sarikei 10. Hospital Daerah Lundu 21. Hospital Dalat 11. Hospital Marudi

Sabah 1. Hospital Beaufort 13. Hospital Queen Elizabeth, Kota Kinabalu 2. Hospital Beluran 14. Hospital Ranau 3. Hospital Duchess of Kent, Sandakan 15. Hospital Semporna 4. Hospital Keningau 16. Hospital Likas 5. Hospital Kinabatangan 17. Hospital Tambunan 6. Hospital Tenom 18. Hospital Tawau 7. Hospital Kota Marudu 19. Hospital Sipitang 8. Hospital Kudat 20. Hospital Tuaran 9. Hospital Kunak 21. Hospital Pitas 10. Hospital Lahad Datu 22. Hospital Kuala Penyu 11. Hospital Papar 23. Hospital Queen Elizabeth II 12. Hospital Kota Belud

HOSPITAL SECTOR: PUBLIC/ MINISTRY OF HEALTH/ PSYCHIATRIC INSTITUTION

1. Hospital Bahagia, Ulu Kinta, Perak 3. Hospital Permai, Johor 2. Hospital Sentosa, Sarawak 4. Hospital Mesra, Bukit Padang, Sabah

HOSPITAL SECTOR: PUBLIC/ UNIVERSITY

1. Pusat Perubatan Universiti Kebangsaan 3. Hospital Universiti Sains Malaysia Malaysia (PPUKM), WPKL (HUSM), Kubang Kerian, Kelantan 2. Pusat Perubatan Universiti Malaya (PPUM), WPKL

HOSPITAL SECTOR: PUBLIC/ MINISTRY OF DEFENCE

1. Hospital Angkatan Tentera Darat, Negeri 4. Hospital Angkatan Tentera Terendak, Sembilan Melaka 2. Hospital Angkatan Tentera Kuala Lumpur 5. Hospital Angkatan Tentera Lumut, Perak 3. Hospital Angkatan Tentera Kota Kinabalu

114 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

HOSPITAL SECTOR: PRIVATE

Terengganu 1. Kuala Terengganu Specialist Hospital

Kelantan 1. Perdana Specialist Hospital 3. Pusat Perubatan An-Nisa’ 2. Kota Bharu Medical Centre

Melaka 1. Putra Specialist Hospital (Melaka) 3. Mahkota Medical Centre 2. Pantai Hospital, Ayer Keroh 4. Damai Medical and Heart Clinic

Pahang 1. Kuantan Medical Centre 5. Darul Makmur Medical Centre Sdn. Bhd 2. Kuantan Specialist Hospital 6. Sethu Medical Centre 3. Klinik Pakar Wanita Chan 7. Dr S.T. Chong, Maternity and Surgery 4. W. Y. Ko Specialist Maternity and 8. Pusat Rawatan Keluarga MUIP Sdn. Bhd. Gynaecology Centre

Kedah 1. Kedah Medical Centre 5. Metro Specialist Hospital 2. INS Specialist Centre 6. Pantai Hospital, Sg. Petani 3. Pusat Pakar Amanjaya 7. Chang & Koh Maternity & Fertility Centre Sdn. Bhd. 4. Putra Medical Centre 8. Wisma Pakar Perbidanan & Sakit Puan

Sabah 1. Tawau Maternity and Specialist Hospital 3. Kota Kinabalu Specialist Centre 2. Sabah Medical Centre (A Member of KPJ 4. Damai Specialist Hospital (Kota Kinabalu Healthcare Berhad) SMC Healthcare Specialist Hospital Sdn Bhd)

Sarawak 1. Rejang Medical Centre 6. Columbia Asia Hospital-Miri 2. Miri City Medical Centre 7. Helen Ngu Women Hospital 3. Sibu Specialist Medical Centre 8. Ong Specialist Centre 4. Bintulu Medical Centre 9. Borneo Medical Centre 5. Columbia Asia Hospital-Bintulu 10. Timberland Medical Centre

Negeri Sembilan 1. Columbia Asia Hospital Rawatan 5. Columbia Asia Medical Centre, Lanjutan Seremban Seremban

2. Senawang Specialist Hospital 6. Seremban Specialist Hospital 2013 OF NHEWS (HOSPITAL) PARTICIPANTS 3. NCI Hospital 7. Mawar Renal Medical Centre 4. Klinik Pakar Wanita dan Rumah Bersalin 8. Hospital Bersalin Sukhilmi

Rekha Sdn. Bhd APPENDIX 2:

115 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

HOSPITAL SECTOR: PRIVATE

Perak 1. Columbia Asia Taiping Hospital 8. Pusat Perubatan UNIKL-RCMP 2. Fatimah Hospital 9. Pantai Hospital Ipoh 3. Taiping Medical Centre 10. Sri Manjung Specialist Centre Sdn. Bhd. 4. KPJ Ipoh Specialist Hospital 11. Klinik Bersalin Yasmin 5. Yeak Maternity & Gynae Centre Sdn. 12. Tan Specialist Maternity Centre Sdn. Bhd Bhd. 6. The Perak Chinese Maternity 13. Sejati Maternity and Specialist Centre Association(Perak Community Specialist Hospital) 7. Kinta medical Centre Sdn. Bhd.

Pulau Pinang 1. Island Hospital 8. Public Specialist Centre 2. Pantai Hospital Pulau Pinang 9. Loh Guan Lye Specialists Centre 3. Lam Wah Ee Hospital 10. Pulau Pinang Adventist Hospital (Adventist Hospital & Clinic Services (M) 4. Tanjung Medical Centre 11. KPJ Penang Specialist Hospital 5. Carl Corrynton Medical Centre 12. Gleneagles Penang 6. Specialist 13. Tan & Tan Specialist Maternity Centre 7. Optimax Eye Specialist Hospital (Penang)

Johor 1. Century Specialist Maternity Sdn Bhd 10. Pantai Hospital Batu Pahat 2. Columbia Asia Hospital - Nusajaya 11. Pasir Gudang Specialist Hospital 3. Hoo Specialists Maternity & Surgery Sdn 12. Pelangi Medical Centre Sdn.Bhd. Bhd 4. Hospital Waqaf An-Nur Pasir Gudang 13. Pusat Pakar Sakit Puan dan Perbidanan Khor & Loh Sdn.Bhd 5. JB Specialist Hospital Sdn. Bhd (Formerly 14. Puteri Specialist Hospital known as Hospital Pakar Siow Sdn Bhd) 6. Johor Jaya Maternity Centre Sdn Bhd 15. Specialist Women's Hospital Sdn Bhd 7. Kempas Medical Centre 16. Tan Klinik Pakar Perbidanan 8. Kluang Utama Specialist Hospital 17. Tey Maternity Specialist & Gynae Centre Sdn Bhd 9. KPJ Johor Specialist Hospital

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Wilayah Persekutuan Kuala Lumpur 1. Al-Islam Specialist Hospital 17. Kuala Lumpur Sports Medicine Centre Sdn Bhd (KLSMC) 2. Beverly Wilshire Medical Centre 18. Lourdes Medical Centre 3. Chaudhury Medic-Centre 19. Pantai Hospital Cheras 4. Cheras Specialist Maternity Centre 20. Pantai Hospital Kuala Lumpur 5. Columbia Asia Hospital - Setapak 21. Prince Court Medical Centre 6. Coop Medical Centre (Sambhi Clinic 22. Pudu Specialists Centre Sdn Bhd Sdn. Bhd.) 7. Damai Service Hospital (HQ) Sdn. Bhd. 23. Pusat Perubatan Naluri Sdn. Bhd. 8. Dato Harnam E.N.T. Specialist Clinic 24. Roopi Medical Centre Sdn. Bhd 9. Gleneagles Kuala Lumpur 25. Sentosa Medical Centre Sdn. Bhd. 10. Global Doctors Centre 26. Sentul Medical Centre 11. Hospital Aman (M) Sdn. Bhd. 27. Taman Desa Medical Centre (TDMC Hospital Sdn Bhd) 12. Hospital Pakar KPJ Tawakkal (KPJ 28. Tung Shin Hospital Tawakkal Specialist Hospital) 13. iHEAL Medical Centre Kuala Lumpur 29. UKM Specialist Centre 14. Institut Jantung Negara Sdn Bhd 30. UM Specialist Centre Sdn.Bhd 15. Kencana Maternity Centre Sdn Bhd 31. Parkcity Medical Centre 16. Klinik Pakar Wanita Kepong Dan Pusat Bersalin

Selangor 1. Assunta Hospital 19. KPJ Damansara Specialist Hospital 2. Az-Zahrah Islamic Medical Centre 20. KPJ Kajang Specialist Hospital 3. Beacon International Specialist Centre 21. KPJ Klang Specialist Hospital (Wijaya International Medical Centre Sdn. Bhd) 4. Britannia Women & Children Specialist 22. KPJ Selangor Specialist Hospital Centre 5. Columbia Asia Extended Care Hospital- 23. Pantai Hospital Ampang Shah Alam 6. Columbia Asia Hospital - Cheras 24. Pristine Women Medical Centre (Pusat Pakar Wanita dan Bersalin Selayang) 7. Columbia Asia Hospital Bukit Rimau 25. Pusat Bersalin Barakah 8. Columbia Asia Hospital Puchong 26. Pusat Perubatan Damansara Damai 9. DEMC Specialist Hospital Shah Alam 27. Pusat Perubatan Kohilal Sdn Bhd 10. Hospital Bersalin Razif 28. QHC Medical Centre 11. Hospital Pakar An-Nur Hasanah Sdn Bhd 29. Shah Alam Specialist Hospital (Salam Medical Centre Sdn. Bhd)

12. Hospital Sungai Long 30. Sime Darby Medical Centre Ara 2013 OF NHEWS (HOSPITAL) PARTICIPANTS Damansara 13. Hospital Wanita Metro (Banting) 31. Sri Kota Specialist Medical Centre APPENDIX 2:

117 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

14. Hospital Wanita Metro (Klang) 32. Subang Jaya Medical Centre Sdn Bhd (formerly known as Sime Darby Medical Centre Subang Jaya) 15. JMC Specialist Medical Centre (Klinik 33. Tropicana Medical Centre (M) Sdn Bhd Damo & Pusat Bersalin) 16. Joe Medical Centre 34. Tun Hussein Onn National Eye Hospital 17. Klinik Pakar Wanita & Bersalin Subang 35. Umra Medical Services Sdn. Bhd Permai 18. KPJ Ampang Puteri Specialist Hospital

118 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

APPENDIX 3 | MALAYSIAN POPULATION 2010-2013

The Malaysian population statistics presented here were obtained from the Department of Statistics Malaysia. This population statistics serve as a reference to density calculations with regards to the NHEWS (Hospital) data being displayed in the main body of this report.

Please note that we feature only relevant population statistics of specific years; to represent their use in the density calculations as mentioned above. As such, some of the following tables may not contain population statistics for all four years (from 2010 to 2013).

Table A3.1 Total Population in Malaysia by State, 2010-2013 State 2010 2011 2012 2013 Malaysia 28,334,135 28,964,300 29,336,800 29,714,700 Selangor 5,462,141 5,577,400 5,650,800 5,725,300 Johor 3,348,283 3,401,800 3,439,600 3,477,200 Sabah 3,206,742 3,316,400 3,371,700 3,428,000 Sarawak 2,471,140 2,516,200 2,545,800 2,575,500 Perak 2,352,743 2,397,600 2,416,700 2,436,400 Kedah 1,947,651 1,973,100 1,996,800 2,021,100 WP Kuala Lumpur 1,674,621 1,694,500 1,713,400 1,732,000 Pulau Pinang 1,561,383 1,593,600 1,611,100 1,628,400 Kelantan 1,539,601 1,615,200 1,640,400 1,665,900 Pahang 1,500,817 1,524,800 1,548,400 1,572,700 Terengganu 1,035,977 1,074,000 1,092,900 1,112,500 Negeri Sembilan 1,021,064 1,042,900 1,056,300 1,070,100 Melaka 821,110 833,000 842,500 852,400 Perlis 231,541 237,500 239,400 241,400 WP Labuan 86,908 89,800 91,600 93,300 WP Putrajaya 72,413 76,400 79,400 82,500

Source: Department of Statistics, Malaysia, 2010, 2011, 2012 & 2013 Used for density calculations in Chapter 1 (Facilities), Chapter 3 (Activities), and Chapter 4 (Workforce).

Table A3.2 Female Population in Malaysia by State, 2010-2013 State 2010 2011 2013 Malaysia 13,771,497 14,052,300 14,436,700 Selangor 1,580,846 1,608,700 2,762,500 Johor 1,198,028 1,213,900 1,647,700 Sabah 1,165,670 1,184,700 1,646,100 Sarawak 962,253 976,100 1,243,100 Perak 822,491 829,600 1,205,400 Kedah 765,903 804,300 1,000,900 WP Kuala Lumpur 704,450 715,400 849,900 Kelantan 507,483 526,100 830,500 Pulau Pinang 492,111 504,300 811,900 Pahang 408,723 413,600 739,700 Terengganu 117,709 120,700 545,600 Negeri Sembilan 42,078 43,500 518,200 Melaka 38,214 40,600 423,500 Perlis 13,771,497 14,052,300 122,500 WP Labuan 1,580,846 1,608,700 45,200 MALAYSIAN POPULATION 2010-2013 POPULATION MALAYSIAN WP Putrajaya 1,198,028 1,213,900 43,800

Source: Department of Statistics, Malaysia, 2010, 2011 & 2013 Used for density calculations in Chapter 4 (Workforce- Doctor) only. APPENDIX 3:

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Table A3.3 Female Population (50-69 years old) in Malaysia by State, 2012-2013 State 2012 2013 Malaysia 2,019,200 2,100,600 Selangor 336,400 354,200 Johor 242,200 251,800 Perak 220,000 225,900 Sarawak 173,400 179,400 Kedah 160,500 166,300 Sabah 147,200 155,900 Pulau Pinang 137,200 141,700 Kelantan 122,600 126,800 WP Kuala Lumpur 120,000 125,300 Pahang 109,100 113,500 Negeri Sembilan 85,000 88,300 Terengganu 71,100 73,800 Melaka 67,300 69,400 Perlis 20,300 20,600 WP Labuan 4,100 4,300 WP Putrajaya 2,800 3,000

Source: Department of Statistics, Malaysia, 2012 & 2013 Used for density calculations in Chapter 2 (Medical Device) only.

Table A3.4 Female Population (40-74 years old) in Malaysia by State, 2012-2013 State 2012 2013 Malaysia 3,957,000 4,067,000 Selangor 701,900 731,700 Johor 472,000 485,200 Perak 393,400 397,200 Sarawak 339,700 349,700 Sabah 330,700 346,400 Kedah 303,100 309,000 Pulau Pinang 260,600 267,300 WP Kuala Lumpur 249,300 256,700 Kelantan 230,400 234,700 Pahang 201,700 206,100 Negeri Sembilan 155,900 159,000 Terengganu 138,100 140,900 Melaka 127,500 129,600 Perlis 37,000 37,000 WP Labuan 9,400 9,800 WP Putrajaya 6,200 6,600

Source: Department of Statistics, Malaysia, 2012 & 2013 Used for density calculations in Chapter 2 (Medical Device) only

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Table A3.5 Female Population (40-44 years old) in Malaysia by State, 2012-2013 State 2012 2013 Malaysia 906,900 915,300 Selangor 184,600 191,200 Johor 108,100 109,100 Sabah 93,700 97,000 Sarawak 78,000 79,300 Perak 72,000 70,400 Kedah 63,500 63,400 WP Kuala Lumpur 62,600 60,600 Pulau Pinang 56,700 57,400 Kelantan 47,300 47,000 Pahang 41,100 41,700 Negeri Sembilan 31,000 31,000 Terengganu 29,800 29,800 Melaka 26,900 26,100 Perlis 7,000 6,700 WP Labuan 2,700 2,800 WP Putrajaya 1,800 1,900

Source: Department of Statistics, Malaysia, 2012 & 2013 Used for density calculations in Chapter 2 (Medical Device) only

Table A3.6 Female Population (45-49 years old) in Malaysia by State, 2012-2013 State 2012 2013 Malaysia 816,100 836,900 Selangor 152,300 158,000 Johor 96,000 98,900 Sabah 75,600 78,600 Perak 73,000 73,600 Sarawak 69,100 70,700 Kedah 60,100 61,200 WP Kuala Lumpur 55,100 58,700 Pulau Pinang 50,700 52,100 Kelantan 46,900 47,100 Pahang 40,400 40,200 Negeri Sembilan 30,800 30,800 Terengganu 29,100 29,200 Melaka 25,700 26,600 Perlis 7,300 7,400 WP Labuan 2,300 2,400 WP Putrajaya 1,500 1,600

Source: Department of Statistics, Malaysia, 2012 & 2013 Used for density calculations in Chapter 2 (Medical Device) only MALAYSIAN POPULATION 2010-2013 POPULATION MALAYSIAN APPENDIX 3:

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Table A3.7 Female Population (50-54 years old) in Malaysia by State, 2012-2013 State 2012 2013 Malaysia 705,600 723,000 Selangor 122,600 127,800 Johor 84,000 85,400 Perak 68,900 69,400 Sarawak 59,700 61,800 Sabah 59,600 62,200 Kedah 54,800 55,500 Pulau Pinang 44,700 45,500 Kelantan 43,100 43,900 WP Kuala Lumpur 42,500 43,700 Pahang 38,100 38,800 Negeri Sembilan 29,500 29,700 Terengganu 26,000 26,700 Melaka 22,200 22,500 Perlis 6,700 6,700 WP Labuan 1,700 1,800 WP Putrajaya 1,500 1,500

Source: Department of Statistics, Malaysia, 2012 & 2013 Used for density calculations in Chapter 2 (Medical Device) only

Table A3.8 Female Population (54-59 years old) in Malaysia by State, 2012-2013 State 2012 2013 Malaysia 568,100 594,700 Selangor 92,400 97,800 Johor 69,300 72,500 Perak 61,200 62,700 Sarawak 48,700 50,000 Kedah 46,500 48,400 Sabah 41,500 45,100 Pulau Pinang 38,300 39,500 WP Kuala Lumpur 34,300 36,000 Kelantan 34,200 36,000 Pahang 30,400 32,000 Negeri Sembilan 24,900 26,000 Terengganu 20,000 21,200 Melaka 18,600 19,300 Perlis 5,800 5,900 WP Labuan 1,200 1,200 WP Putrajaya 900 1,100

Source: Department of Statistics, Malaysia, 2012 & 2013 Used for density calculations in Chapter 2 (Medical Device) only

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Table A3.9 Female Population (60-64 years old) in Malaysia by State, 2012-2013 State 2012 2013 Malaysia 442,100 456,100 Selangor 74,400 75,400 Johor 53,200 55,300 Perak 52,800 53,500 Sarawak 37,700 39,200 Kedah 35,500 37,100 Pulau Pinang 31,700 32,500 Sabah 26,600 28,500 Kelantan 26,100 26,800 WP Kuala Lumpur 25,600 26,800 Pahang 24,400 24,800 Negeri Sembilan 18,500 19,500 Melaka 15,600 15,700 Terengganu 14,400 15,000 Perlis 4,600 4,700 WP Labuan 700 800 WP Putrajaya 300 300

Source: Department of Statistics, Malaysia, 2012 & 2013 Used for density calculations in Chapter 2 (Medical Device) only

Table A3.10 Female Population (65-69 years old) in Malaysia by State, 2012-2013 State 2012 2013 Malaysia 303,400 326,800 Selangor 47,000 53,200 Perak 37,100 40,300 Johor 35,700 38,600 Sarawak 27,300 28,400 Kedah 23,700 25,300 Pulau Pinang 22,500 24,200 Sabah 19,500 20,100 Kelantan 19,200 20,100 WP Kuala Lumpur 17,600 18,800 Pahang 16,200 17,900 Negeri Sembilan 12,100 13,100 Melaka 10,900 11,900 Terengganu 10,700 10,900 Perlis 3,200 3,300 WP Labuan 500 500 WP Putrajaya 100 100

Source: Department of Statistics, Malaysia, 2012 & 2013 Used for density calculations in Chapter 2 (Medical Device) only MALAYSIAN POPULATION 2010-2013 POPULATION MALAYSIAN APPENDIX 3:

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Table A3.11 Female Population (70-74 years old) in Malaysia by State, 2012-2013 State 2012 2013 Malaysia 214,800 214,200 Selangor 28,600 28,300 Perak 28,400 27,300 Johor 25,700 25,400 Sarawak 19,200 20,300 Kedah 19,000 18,100 Pulau Pinang 16,000 16,100 Sabah 14,200 14,900 Kelantan 13,600 13,800 WP Kuala Lumpur 11,600 12,100 Pahang 11,100 10,700 Negeri Sembilan 9,100 8,900 Terengganu 8,100 8,100 Melaka 7,600 7,500 Perlis 2,400 2,300 WP Labuan 300 300 WP Putrajaya 100 100

Source: Department of Statistics, Malaysia, 2012 & 2013 Used for density calculations in Chapter 2 (Medical Device) only

Table A3.12 Paediatric (0-14 years old) Population in Malaysia by State, 2010-2013 State 2010 2011 2013 Malaysia 7,827,907 7,784,600 7,741,300 Perlis 1,372,012 1,378,700 1,391,500 Kedah 1,026,161 922,100 932,400 Pulau Pinang 910,413 907,600 893,000 Perak 626,615 631,900 608,100 Selangor 571,559 564,600 551,900 WP Putrajaya 497,464 535,900 529,200 WP Kuala Lumpur 452,801 448,600 449,200 Negeri Sembilan 370,204 371,200 378,700 Melaka 361,081 359,200 354,700 Johor 334,533 349,900 351,000 Pahang 271,214 276,000 274,000 Terengganu 215,670 215,000 211,600 Kelantan 183,393 710,400 697,100 Sarawak 58,435 61,300 61,300 Sabah 25,064 26,600 27,600 WP Labuan 22,354 25,600 29,800

Source: Department of Statistics, Malaysia, 2010, 2011 & 2013 Used for density calculations in Chapter 4 (Workforce- Doctor) only.

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Table A3.13 Geriatric (60 years old and above) Population in Malaysia by State, 2010-2013 State 2010 2011 2013 Malaysia 2,251,216 2,338,300 2,542,600 Selangor 334,289 347,900 383,900 Perak 280,118 289,100 310,300 Johor 278,028 287,300 311,600 Kedah 184,087 189,700 203,000 Pulau Pinang 159,285 165,900 181,100 Sabah 138,386 150,400 167,700 Kelantan 135,935 140,800 149,300 WP Kuala Lumpur 127,825 132,000 147,000 Pahang 122,719 127,600 138,200 Negeri Sembilan 91,920 96,500 106,600 Melaka 79,422 81,900 87,900 Terengganu 78,058 80,900 87,000 Sarawak 37,844 39,700 236,700 Perlis 25,499 25,900 26,900 WP Labuan 3,483 3,700 4,400 WP Putrajaya 981 1,000 1,200

Source: Department of Statistics, Malaysia, 2010, 2011 & 2013 Used for density calculations in Chapter 4 (Workforce-Doctor) only. MALAYSIAN POPULATION 2010-2013 POPULATION MALAYSIAN APPENDIX 3:

125 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

APPENDIX 4 | DATA QUALITY STATEMENT

NHEWS (Hospital) 2012-2013 Quality Statement

Dimension Description Data Collector(s): The data was collected by the Health Statistics Unit (HSU) of the National Clinical Research Centre (CRC) Malaysia.

Collection authority: Under the jurisdiction of the MDD of MOH, public hospitals were directed to participate in this survey and provide access to their available data.

For private healthcare establishments, legal authorities for the collection of such data by the MOH are provided by (where applicable) the Private Healthcare Facilities and Services Act 1998 and Control of Drugs & Cosmetics Regulation 1984. The relevant regulatory authorities in the MOH are the Medical Practice Division, National Pharmaceutical Control Bureau and Medical Device Bureau respectively. They have designated the CRC as their data collection agency. Institutional Environment Data Compiler(s): The data was compiled by the same organisation that collected the data.

Additional information: Statistical confidentiality was maintained by ensuring that the information provided is: - Securely maintained - Used only for statistical purposes - Not inadvertently revealed in any published literature - Used safely as unidentifiable micro-data to support research and analysis

Any identified data error will be notified to the public and data user through an online notice published on the organisation website where the report and data are posted. All effort will be made to ensure any data error is corrected within 5 working days and be re-released. All key data users will be specifically notified through email or telephone. Relevance Data topic: The data represents all acute curative hospitals of both public and private sectors within Malaysia for 2012 and 2013.

Level of geography: Data is available at national and state level.

Key Data Items: The key data items produced from this collection include the facilities, medical device, activities and health workforce of the identified hospitals for 2012 and 2013.

Numerator/Denominator Source: Numerators and denominators of all the rates, percentages and densities were derived from the same data source and auxiliary sources e.g. population census obtained from the Department of Statistics Malaysia (DOS).

Additional information: Healthcare establishment and workforce data was collected to assist in evidence based health policy planning and projection.

The data is a measure of acute curative healthcare establishment characteristic in terms of facilities, activities, medical device and health workforce.

Key variables have been defined in this survey to assist in data standardisation. However, standard international coding or classification was not used, owing to technical limitation.

126 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Timeliness Data collection: Data was intended to reflect annual hospital statistics. The current survey collected data for both years at one point of time. However data for each year relates to its own reference period.

Data availability: Data collection took place in January-April 2014. This was followed by data cleaning, validation, verification and analysis between May-August 2014. The report shall be published with approval from the Ministry of Health, by July of the next calendar year.

Reference Period: The data reference period is from 1st-Jan-2012 to 31st-Dec-2012 and from 1st-Jan-2013 to 31st- Dec-2013

Additional information: Updates or revisions of the data may become necessary because new information may become available during the preparation of the report. Accuracy Method of Collection: The data was collected using either printed or online survey questionnaires. These were distributed to all related healthcare establishments listed under the Ministry of Health and Private Hospital Registry.

Data Adjustments: The data was adjusted to account for item and/or unit non-responses by using imputation (logical, conditional and regressing) and weighting methods.

Logical and conditional imputation based on reasonable assumption was used to replace missing data. Regression imputation was used for the remaining missing data which had a 5% or less missing rate. Despite these efforts, certain variables were found to have a higher missing rate than expected. Caution will be needed when interpreting these estimates due to their inaccuracy. Percentages of missing values and the imputation status for each variable can be found at Appendix 6.

Collection size: All registered acute curative hospitals within the country were included: 345 hospitals in 2012, and 351 hospitals in 2013.

Under and over counts: Undercount and over-count of the survey variables will not be known until a post-enumeration survey is conducted to measure how effective the original survey was.

Additional information: Any sensitive question or topics that may have the potential to cause bias was not collected. Manual data cleaning, review and verification with source personnel, and automated data validation were performed to minimize processing errors. All hospitals in the country fulfilling the inclusion criteria were accounted for in this survey. Coherence Consistency over time: Similar survey methods have been used for this survey in 2009, 2010, and 2011. However, definition of certain health services and key variables has been revised in the present survey to allow for a more practical and reflective interpretation. These changes may have affected the value of certain variables collected and, any comparisons with previous years must be treated with caution.

Numerator/ denominator: The impact of differences between the criteria for numerators and denominators was minor in most cases. Data produced from this survey is of cross-sectional nature. No time series data was collected.

Additional information: There were no significant changes of the mode of data collection compared to previous years. Further, there was no occurrence of substantial local or regional events that that may have had an impact on the data since the last report.

Coherence Data collected in this survey is broadly comparable to data of similar nature available from the Health Informatics Centre (HIC) of the Ministry of Health. The HIC obtains such data from routine (monthly) data submission by healthcare establishments. However, certain data from our survey and from the HIC may not be directly comparable because of differences in definition as well as in inclusion and exclusion criteria. Furthermore, additional data have been collected in greater detail in this survey in order to answer specific health policy questions. Please refer to the survey questionnaire for more details on the specific survey questions, at our website: www.crc.gov.my/nhsi/survey-form. DATA QUALITY STATEMENT QUALITY DATA

Besides the routine monthly data collected by the HIC, no other similar information or data source are available at the national level. APPENDIX 4:

127 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Interpretability Context: Due to the alterations of certain important definitions in this report, any increasing or decreasing pattern of variable being reported may not reflect the actual situation. Specific issues related to this area have been discussed in the write-up of relevant survey chapters.

Other supporting information: Please refer to the data definition, study methodology, and discussion of limitation of each chapter for further insight. Accessibility Contact details: Healthcare Statistics Unit Clinical Research Centre 3rd Floor, MMA House 124 Jalan Pahang 53000 Kuala Lumpur Malaysia. Phone: +603-4043 9300 Fax: +603- 4043 9500 Email: [email protected] Website: http://www.crc.gov.my/nhsi

Additional information: Custom analysis of anonymised data is available (in spreadsheet format) upon request.

A printed copy of the report will be mailed to all related hospital administrators upon publication. Electronic copy of the report can be downloaded at http://www.crc.gov.my/nhsi

In addition, the aforementioned website also has a feature of data visualisation whereby online charting of the data is presented.

Should it be required, the NHSI team can provide training on analysing and interpreting NHSI data.

For further information please contact:

Name: Health Statistics Unit Telephone +603-40439300 Number: Email Address: [email protected]

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APPENDIX 5 | SURVEY PROFILE AND RESPONSE RATE ANALYSIS

Survey Profile

Table A5.1 Outcome Variables, Missing Data and Application of Imputation Methods for the Public Hospitals in the NHEWS (Hospital) 2012-2013 Survey.

2012 2013

# Outcome variable Percentage Percentage (%) with Imputation (%) with Imputation missing values missing values 1. Total number of gazetted inpatient beds 0 - 0 - Total number of gazetted functioning 2. 0 - 0 - inpatient beds 3. Total number of inpatient admissions 0 - 0 - Total Inpatient Day (Total Length of Stay) for 4. 0 - 0 - all discharged patients 5. Emergency department visits 0 - 0 - 6. General outpatient department (OPD) visits 0 - 0 - 7. Specialist clinic visits (All) 0 - 0 - 8. Specialist clinic visits (Medicine) 0 - 0 - 9. Specialist clinic visits (General surgery) 0 - 0 - 10. Specialist clinic visits (Orthopaedics) 0 - 0 - 11. Specialist clinic visits (Obstetrics) 0 - 0 - 12. Specialist clinic visits (Gynaecology) 0 - 0 - 13. Specialist clinic visits (Paediatrics) 0 - 0 - Specialist clinic visits (Otorhinolaryngology/ 14. 0 - 0 - ENT) 15. Specialist clinic visits (Ophthalmology) 0 - 0 - 16. Specialist clinic visits (Psychiatry) 0 - 0 - 17. Specialist clinic visits (Oncology) 0 - 0 - Total number of dedicated mammogram 18. 0 - 0 - machines 19. Total number of mammographies performed 0 - 0 - Total number of screening mammographies 20. 5 Yes 5 Yes performed Total number of medical doctors (excluding 21. 0 - 0. - house officers) 22. Total number of staff nurses 0 - 0 - Total number of staff nurses with post-basic 23. 1 Yes 1 Yes training 24. Total number of assistant medical officers 0 - 0 - Total number of assistant medical officers 25. 1 Yes 1 Yes with post-basic training 26. Total number of radiographers 0 - 0 - Total number of radiographers with post- 27. 0 - 0 - basic training in mammography Total number of radiographers with post- 28. 0 - 0 - basic training in CT scan SURVEY PROFILE & RESPONSE RATE ANALYSIS APPENDIX 5: SURVEY PROFILE & RESPONSE RATE

130 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013

Table A5.2 Outcome Variables, Missing Data and Application of Imputation Methods for the Private Hospitals in the NHEWS (Hospital) 2012-2013 Survey.

2012 2013

# Outcome variable Percentage Percentage (%) with Imputation (%) with Imputation missing values missing values 1. Total number of gazetted inpatient beds 0 - 0 - Total number of gazetted functioning 2. 0 - 0 - inpatient beds 3. Total number of inpatient admissions 0 - 0 - Total Inpatient Day (Total Length of Stay) for 4. 0 - 0 - all discharged patients 5. Emergency department visits 0 - 0 - 6. General outpatient department (OPD) visits 0 - 0 - 7. Specialist clinic visits (All) 7 Yes 4 Yes Total number of dedicated mammogram 8. 0 - 0 - machines 9. Total number of mammographies performed 0 - 0 - Total number of screening mammographies 10. 9 Yes 8 Yes performed Total number of medical doctors (excluding 11. 0 - 0 - house officers) 12. Total number of staff nurses 0 - 0 - Total number of staff nurses with post-basic 13. 0 - 0 - training 14. Total number of assistant medical officers 0 - 0 - Total number of assistant medical officers 15. 0 - 0 - with post-basic training 16. Total number of radiographers 0 - 0 - Total number of radiographers with post- 17. 0 - 0 - basic training in mammography Total number of radiographers with post- 18. 0 - 0 - basic training in CT scan

131 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 na na 71.90 83.19 57.14 66.67 81.25 90.32 64.15 70.31 76.92 79.55 69.57 74.55 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 % 1 1 9 8 8 6 2 2 5 na na 17 10 18 12 18 15 13 28 11 34 45 30 35 18 64 82 141 151 292 2013 Respondent 1 1 9 8 8 6 2 2 5 na na 17 10 18 21 27 15 16 31 11 53 64 39 44 18 92 141 210 351 110 Population na na 71.84 83.19 52.38 62.96 81.25 90.32 66.04 71.88 72.97 76.19 68.89 73.83 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 % 1 1 9 8 8 6 1 1 5 na na 17 10 18 11 17 15 13 28 11 35 46 27 32 17 62 79 139 148 287 2012 Respondent 1 1 9 8 8 6 1 1 5 na na 17 10 18 21 27 15 16 31 11 53 64 37 42 17 90 139 206 345 107 Population na na 64.56 78.59 88.89 94.44 88.89 94.74 45.45 57.14 75.00 86.67 63.27 70.00 56.76 60.98 60.47 66.67 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 % 1 1 9 8 8 6 1 1 4 na na 17 10 18 10 16 14 12 26 11 31 42 21 25 16 52 68 135 133 268 2011 Respondent 1 1 9 9 9 6 1 1 4 na na 18 10 19 22 28 14 16 30 11 49 60 37 41 16 86 135 206 341 102 Population Sector Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Table A5.3: Number and Percentage of Respondents of the NHEWS (Hospital) Survey by State and Sector, 2011-2013 State and Sector, by of Respondents the NHEWS (Hospital) Survey A5.3: Number and Percentage Table State Malaysia Malaysia Malaysia Perlis Perlis Perlis Kedah Kedah Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Kedah & Perlis Kedah Pulau Pinang Pulau Pinang Pulau Pinang Perak Perak Perak Selangor Selangor Selangor WP Putrajaya WP Putrajaya WP Putrajaya WPKL WPKL WPKL Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & Selangor & WP Putrajaya & WPKL & WP Putrajaya Selangor & SURVEY PROFILE & RESPONSE RATE ANALYSIS APPENDIX 5: SURVEY PROFILE & RESPONSE RATE

132 National Healthcare Establishment & Workforce Statistics Hospital 2012 -2013 na 88.89 93.75 58.62 70.00 88.89 94.74 69.23 87.88 80.00 96.43 80.00 96.55 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 % 7 8 4 4 8 8 6 1 7 3 9 4 1 1 4 na 15 11 17 28 10 18 10 13 20 29 23 27 24 28 2013 Respondent 7 9 4 4 8 9 6 1 7 3 5 1 1 5 na 16 11 29 40 10 19 10 13 20 13 33 23 28 24 29 Population na 88.89 93.75 60.71 71.79 88.89 94.74 75.00 90.63 80.00 96.30 80.00 96.43 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 % 7 8 4 4 8 8 6 1 7 3 9 4 1 1 4 na 15 11 17 28 10 18 10 13 20 29 22 26 23 27 2012 Respondent 7 9 4 4 8 9 6 1 7 3 5 1 1 5 na 16 11 28 39 10 19 10 13 20 12 32 22 27 23 28 Population na 55.56 73.33 56.67 68.29 88.89 94.74 83.33 93.75 60.00 92.59 60.00 92.86 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 % 6 5 3 4 7 8 6 1 7 3 3 1 1 3 na 11 11 17 28 10 18 10 13 20 10 30 22 25 23 26 2011 Respondent 6 9 3 4 7 9 6 1 7 3 5 1 1 5 na 15 11 30 41 10 19 10 13 20 12 32 22 27 23 28 Population Sector Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Public Private Total Table A5.3 [continued]: Number and Percentage of Respondents of the NHEWS (Hospital) Survey by State and Sector, 2011-2013 State and Sector, by of Respondents the NHEWS (Hospital) Survey A5.3 [continued]: Number and Percentage Table State Negeri Sembilan Negeri Sembilan Negeri Sembilan Melaka Melaka Melaka Johor Johor Johor Pahang Pahang Pahang Terengganu Terengganu Terengganu Kelantan Kelantan Kelantan Sarawak Sarawak Sarawak Sabah Sabah Sabah WP Labuan WP Labuan WP Labuan Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah & Sabah & WP Labuan Sabah &

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