UNICEF Case Study of DHIS2 Implementation in 2016-2018

3MDG supported Health System Strengthening Project in Rakhine

Maung Maung Ye Zin Zin, Budhi Setiawan 11-6-2018

CONTENTS

1. Introduction...... 2 2. Background ...... 2 3. Purpose of the review ...... 2 4. Materials and Method ...... 3 5. Findings on Field Supervision of DHIS2 implementation ...... 3 DHIS2 Reporting Rate Summary ...... 3 Validation Rule Analysis ...... 6 Accuracy of RHC reports and DHIS2 Data Entry ...... 6 Township overview data...... 7 Overview capacity of focal persons ...... 7 6. Lessons learnt, Challenges and discussion ...... 8 DHIS2 focal person ...... 9 IT equipment and internet connection ...... 9 DHIS2 data entry ...... 9 Utilization of DHIS2 data ...... 10 7. Suggestions ...... 10 8. Limitation of the reveiw ...... 11 9. Annexes ...... 11 DHIS2 focal person list - 2018 ...... 11 DHIS2 focal person list - 2017 ...... 12 DHIS2 field supervision checklist (IN ) ...... 13 Distribution list of ICT related Equipments ...... 13 district level overview on capacity of focal persons...... 13 Reporting Rate Summary ...... 13 Validation Rule Analysis ...... 14 Using Dataset or Pivot ...... 15 Extraction or calcuation of Key Indicators ...... 16

CASE STUDY ON REVIEW OF DHIS2 (E-HMIS) ROLL OUT IN RAKHINE

1. INTRODUCTION

In accordance with the National Health Plan (2017-2022), Ministry of Health and Sports, Myanmar, has decided one common national platform for health information in Myanmar, known as DHIS2 which is open source software platform for reporting, analysis and dissemination of data. The establishment of DHIS2 as the national platform for health information systems is a great achievement for Myanmar and paved the way, enabling DHIS2 to become the common health information platform for Myanmar.

UNICEF has been working in Rakhine State since 2000, in close partnership with Union and State Governments, and humanitarian and development partners including civil society organizations. In late 2016, UNICEF expanded its programmes for children, to ensure equitable access to health services by adapting the state-wide approach to strengthen local health system of Rakhine State with the support of 3MDG fund.

2. BACKGROUND

An improved and harmonized health reporting system is critical for health system strengthening since it can generate timely information for proper planning, monitoring and evaluation of service delivery at all levels of the health system.

With the purpose of Strengthening the Health Management Information System (HMIS) through improvement of routine data collection and roll out of DHIS2 of MoHS Myanmar in Rakhine State, the State Public Health Department in collaboration with UNICEF implemented the Rakhine State Level HMIS refresher and DHIS2 roll-out Training. It has been a couple of years where there was no such HMIS training in Rakhine State as last one batch of State level refresher training was conducted in 2013 as a follow up of releasing updated version of Data Dictionary. In addition, DHIS2 roll out nationwide is a prioritized task in line with National Health Plan (2017 – 2021) – Annual Operational Plan.

In January 2017, ICT equipment including Laptops and modems were distributed and supported to State and Township Health Departments to facilitate in all aspects of data management to ensure quality data are generated for evidence based planning and decision making process in line with rolling out of electronic HMIS using DHIS2 Platform in all 17 Townships of Rakhine State.

As part of the roll-out process, State level training workshops targeting all HMIS focal persons was conducted in July 2017, in . Those total of 44 participants trained included State Health Officials, HMIS focals of all 17 THDs and other INGO staff.

3. PURPOSE OF THE REVIEW

We document Rakhine’s experience in strengthening routine health data reporting through the roll-out of the District Health Management Information Software System version 2 (DHIS2). ▪ To document Rakhine’s experience during the implementation and roll-out of the DHIS2 ▪ To understand the lessons learnt and address the challenges encountered during the implementation process for further improvement

▪ To identify the strengths and weaknesses of DHIS 2 implementation, and additional support required ▪ To improve reporting consistency and data quality

4. MATERIALS AND METHOD

Joint DHIS2 field supervision checklist1 is the key tool used to capture the overall DHIS2 situation at Township level. All 17 townships were jointly visited once from March to July, 2018. The supervision team includes Deputy State Health Director, Deputy Staff Officer and UNICEF focal point. The supervision checklist covers 5 parts. ▪ DHIS2 reporting rate summary (Form 3 of 2017, Form 1 of January 2018 and Form 1 of February 2018) ▪ Validation rule analysis (Form 3 of 2017, Form 1 of January 2018 and Form 1 of February 2018) ▪ Accuracy of RHC monthly reports and DHIS2 data entry ▪ Township overview data (Form 3 of 2017 – total population, Form 1 of January 2018 – total live births, and Form 1 of February 2018 – total first dose immunized of Tetanus Toxoid to pregnant mothers) ▪ Indicator data extraction from DHIS2 (Antenatal care coverage percentage and fly-proof latrine and population coverage percentage)

Each part was requested to be carried out by respective DHIS2 focal persons of each township health department and the findings were noted down in the checklist. At the end of each part, it is also included the 3 levels of DHIS2 focal person’s capacity in performing the tasks which are graded as below whether the requested DHIS2 related data

▪ Can be retrieved by him/herself without any external assistance ▪ Can be retrieved by him/herself with external assistance ▪ Cannot be retrieved by him/herself at all with or without assistance

5. FINDINGS ON FIELD SUPERVISION OF DHIS2 IMPLEMENTATION

DHIS2 REPORTING RATE SUMMARY

Reporting rate summary for Form 3 of 2017, Form 1 of January 2018 and Form 1 of February 2018 were extracted to see actual report vs expected reports per health facilities up to RHC level including reports on time and percent of reports on time. As of the visits, the capacity of focal persons and reporting rates can be below.

Regarding Form 3, though expected and actual reports shows great achievement, the percent on time of all 17 townships is found to be at the bottom line. With respect to Form 1 of January and February, though poor reporting rate of only few townships can be seen when comparing expected and actual reports, the timeliness seems to be challenging in two-third of all townships.

1 The DHIS2 field supervision checklist was developed by HMIS Unit, Central MoHS.

2017 Form 3 Reporting Status

12 10 8 6 4 2 0

1_F3_ER 1_F3_AR ER=Expected Reports AR=Actual Reports

2017 Form 3 Reporting Status

100 80 60 40 20 0

RR=Reporting Rate 1_F3_RR 1_F3_POT POT=Percent On-Time 2018 Form 1 (January) Reporting Status

16 14 12 10 8 6 4 2 0

ER=Expected Reports 1_F1JAN_ER 1_F1JAN_AR AR=Actual Reports

2018 Form 1 (February) Reporting Status

16 14 12 10 8 6 4 2 0

ER=Expected Reports 1_F1FEB_ER 1_F1FEB_AR AR=Actual Reports

2018 Form 1 (January) Reporting and Timeliness Percent

100 90 80 70 60 50 40 30 20 10 0

RR=Reporting Rate 1_F1JAN_RR 1_F1JAN_POT POT=Percent On-Time

2018 Form 1 (February) Reporting and Timeliness Percent

100 90 80 70 60 50 40 30 20 10 0

RR=Reporting Rate 1_F1FEB_RR 1_F1FEB_POT POT=Percent On-Time

Capacity of DHIS2 focals can be seen as below on their ability to extract reporting rate summary of respective reporting forms on selected year and months.

VALIDATION RULE ANALYSIS

The validation rule analysis function is used to see the quality of data which runs on applied validation rules to detect errors. Each DHIS2 were requested to do validation rule analysis on Form 3 of 2017, Form 1 of January 2018 and Form 1 of February 2018. As of the visits, the status of validation rule analysis results can be seen as below.

TOWNSHIPS WITH STATUS ON DATA VALIDATION RULE ANALYSIS - 2017 FORM 3

0, 0%

6, 35%

11, 65%

Passed Not Passed NA

TOWNSHIPS WITH STATUS ON DATA TOWNSHIPS WITH STATUS ON DATA VALIDATION RULE ANALYSIS - 2018 VALIDATION RULE ANALYSIS - 2018 JANUARY FORM 1 FEBRUARY FORM 1

1, 6% 1, 6%

5, 29% 6, 35% 10, 59% 11, 65%

Passed Not Passed NA Passed Not Passed NA

ACCURACY OF RHC REPORTS AND DHIS2 DATA ENTRY

To ensure the accuracy of data entry from RHC reports to DHIS2, manual checking of hardcopies against DHIS2 data were done. The reports included are Form 3 of 2017, Form 1 of January 2018 and Form 1 of February 2018. One RHC report for each month selected was randomly checked and the number of discrepancies were found as follow.

NUMBER OF DISCREPANCIES BETWEEN RHC AND DHIS2 REPORTS

25

20

15

10

5

0 Form 3 (2017) Form 1 Jan (2018) Form 1 Feb (2018)

The chart shows that the annual reports are reflected with higher number of discrepancies compared to monthly reports. This highlights the necessity of more emphasis on proper checking of annual reports to reduce the number of discrepancies in improving the accuracy of the data.

TOWNSHIP OVERVIEW DATA

It covers total number of population in Form 3 of 2017, total number of live births in Form 1 of January 2018, and total number of first dose immunized pregnant mother against tetanus toxoid in Form 1 of February 2018. Generation of selected figures from DHIS2 was requested and the preference of DHIS2 focals using Data set report or Pivot table is seen in the below. This highlights that the focal persons are found to have preference or better skill in manipulating data using data set option. It is critical the capacity of focal persons need to improve in dealing and using Pivot option.

TOWNSHIP REPORT WITH DATA SET REPROT OR PIVOT TABLE

Form 1 Feb (2018) 13 4

Form 1 Jan (2018) 13 4

Form 3 (2017) 14 3

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

Data Set Pivot

OVERVIEW CAPACITY OF FOCAL PERSONS

The capacity of the focal persons was also assessed in key 4 area to know their ability in retrieving, extracting and manipulating of entered data of the system. ▪ Reporting rate summary ▪ Validation rule analysis ▪ Dataset report or Pivot ▪ Extraction or calculation of key indicators

REPORING RATE SUMMARY - STATE VALIDATION RULE ANALYSIS - STATE OVERALL OVERALL

Can retrieve Can retrieve 4, 24% 4, 24% 5, 29%

7, 41% Can retrieve with Can retrieve with assistance assistance Cannot retrieve Cannot retrieve 6, 35% 8, 47%

DATASET REPORT OR PIVOT - STATE EXTRACTION OF KEY INDICATORS - OVERALL STATE OVERALL

Can retrieve 2, 12% Can retrieve 4, 24% 2, 12% 7, 41% Can retrieve with Can retrieve with assistance assistance

Cannot retrieve 13, 76% Cannot retrieve 6, 35%

The charts show the overall capacity of focal persons in handling and processing of data in 4 areas. Generally, it is seen that retrieving the reporting rate summary is well conducted by focal persons where only 24% of townships shows inability of data extraction. When comparing all 4 areas, extraction or calculation of key indicators shows highest difficulty in almost townships (76%).

6. LESSONS LEARNT, CHALLENGES AND DISCUSSION

Challenges includes inability to generate reports, poor capacity in data management by the health workforce due to lack of familiarity with computer processing as well as uncoordinated collection and use of health information. In addition, fragmented data collection practices and inconsistent data and validity together with inadequate allocation of resources continued to affect the data collection process.

The poor quality of data collected due to delayed reports, as well as incomplete and inaccurate submission of monthly routine reports to townships from RHCs are key challenges in addition to turnover of focal persons and redeployment with new staff.

DHIS2 FOCAL PERSON

There were turn-over of focal staffs and redeployments or replacement with new staff are found to be a common occurrence at Township level. The functioning status of DHIS2 was also found to be hindered and interrupted in those townships with longstanding gap in replacement of vacant posts and resulted in submission of incomplete forms and inaccurate data entry into the system. Another challenge is the limited workforce at township level which leads to multitasking of focal staffs and it somehow affects the timeliness and reporting rate captured in the system.

STATUS OF TOWNSHIPS WITH CHANGE IN DHIS2 FOCALS (COMPARING 2017 AND 2018)

No change 35% 41% Only 1st focal change Only 2nd focal change Both focals change 6% 18%

Status of focals Townships Remark , Ann, , , Myaebon, and No change 6 Taunggup Only 1st focal change 1 Only 2nd focal change 3 , Gwa and , , Sittwe, Rathaedaung, , Both focals change 7 , and Mrauk Oo Total Townships 17 The above chart and table shows the variable nature of focal persons due to turnover and other redeployment reasons. When comparing the DHIS2 roll-out and refresher trainings of 2017 and 2018, it is seen that both focals of 7 townships (41%) has changed where 6 townships (35%) remains unchanged. Only one focal person is found to be changed in 4 townships (24%).

IT EQUIPMENT AND INTERNET CONNECTION

Functionality of Laptops and internet connection is key fundamental requirement for successful beginning of data entry. The encountering of errors in Operating System, software glitches, hardware problems and poor or interrupted connectivity are unavoidable and usual experience in most of the townships.

DHIS2 DATA ENTRY

Untimely, incomplete and inaccurate data are common challenges in planning, monitoring and evaluation of health sector performance, and health service delivery. Functioning status of DHIS2

can better be maximized if lower-level health facilities collect accurate data and submit them on time to the respective THDs for entry into DHIS2.

Continued training of HMIS focal persons and routine data validation of paper-based reports at respective THDs can help to minimize these inaccuracies and discrepancies. If the health facilities continue to submit incomplete or inaccurate data to the THDs, even if they submitted them on time, there is a high possibility that the reports generated through DHIS2 would be equally inaccurate.

Regardless of being trained on DHIS2 properly or not, the familiarity with computer and understanding of basic spreadsheet knowledge is found to be one of the determinant of achieving sustained timeliness of data entry in some townships.

UTILIZATION OF DHIS2 DATA

The adoption of DHIS2 opened a new chapter for improving health reporting in the Rakhine Health Information System facilitating the ability to collect more accurate and efficient data capture needed to inform planning and decision-making.

Though DHIS2 has been rolled out in all Township Health Departments not all of them are utilizing its analysis and presentation functions. Limited analysis of data to inform planning, decision- making and monitoring and evaluation of health service delivery at Township level should be well reviewed to promote better utilization.

7. SUGGESTIONS

▪ Support the national HMIS system in improving use of DHIS2 through periodic Data Review processes at different levels, especially at Township levels. ▪ Despite this level of success, the DHIS2 system has only been rolled down up to the township level, with RHCs and Sub-RHCs continuing to report using the paper-based system. Further pilot expansion of selected RHCs should be considered to improve data quality along the data flow in terms of reliability, availability, timeliness and completeness of reporting, and impact on health service delivery planning and implementation. ▪ Appropriate selection of designated focal persons also plays a critical role in achieving higher performance of DHIS2 at township level. Selection criteria should also involve level of computer literacy, being health background rather than considering non-health staff, interest and motivation to be a focal person. ▪ Support the training when new staffs are recruited or deployed. ▪ Routine support supervision and mentorship visits to all townships to strengthen the use of DHIS2. The DHIS2 data should be reviewed in regular monthly meeting and annual PHC review meetings. ▪ Continued onsite support and mentorship and additional system/infrastructure enhancements, including internet connectivity, are needed to further enhance the performance of DHIS2. ▪ Setting aside an adequate amount of budget to facilitate monthly renewal of internet access and routine technical support supervision at township level is mandatory. ▪ Replacement plan on supply of computers and modems, electricity/source of power and internet.

▪ Enhancing the computer literacy or skill of focal persons is paramount for the efficiency in dealing with electronic system and it will also facilitate the DHIS2 data utilization. The suggested topics are not limited to IT fundamentals (Basic knowledge about software, hardware, networking), Microsoft Windows 10 (How to use computer OS, file storage, maintenance) and Microsoft Office Complete Suite such as Word, Excel, PowerPoint and Outlook including basic techniques on installation on various OS and troubleshoot machines effectively. ▪ DHIS2 refresher training should be provided at least one time at State Level understanding the context of staff turnover. ▪

8. LIMITATION OF THE REVEIW

The review covered the findings, experiences and data analyzed from the field supervision checklists of respective THDs which were visited at a different time consecutively and the data shows the snapshot view as of the visit though timeliness can be interpreted as a constant information.

9. ANNEXES

DHIS2 FOCAL PERSON LIST - 2018 No. Name Position Gender Department Township 1 U Oo Maung Than HA1 Male THD Ann 2 Daw Aye Sandar Myint PHS2 Female THD Ann 3 Daw Than Than Aye THN Female THD Buthidaung 4 U Kyaw Than Shwe PHS1 Male THD Buthidaung 5 Daw Nilar Aye THN Female THD Gwa 6 U Than Zaw Hein HA Male THD Gwa 7 Daw San San New THA Female THD Kyaukphyu 8 U Kyaw Khaing Min HA Male THD Kyaukphyu 9 U Hla Maung Thein HA1 Male THD Kyauktaw 10 U Myo Aye Lwin PHS2 Male THD Kyauktaw 11 U Thein Tun PHS1 Male THD Manaung 12 U Soe Khaing Zaw PHS2 Male THD Manaung 13 U Aung Thein Tin HA1 Male THD Maungdaw 14 U Than Tin Maung PHS1 Male THD Maungdaw 15 U Hla Tun Aung PHS1 Male THD Minbya 16 U Phyo Wai Zaw PHS1 Male THD Minbya 17 Daw Hnin Hnin Aye PHS1 Female THD Mrauk Oo 18 U Min Tun Latt PHS1 Male THD Mrauk Oo 19 U Aung Min Thein UD Male THD Myaebon 20 U Kyaw Hla Sein HA1 Male THD Myaebon 21 Daw Aye Su Wai Lin PHS2 Female THD Pauktaw 22 U Than Htwe HA Male THD Pauktaw 23 U Tin Maung Shein HA1 Male THD Ponnagyun 24 U Kyaw Nyunt Shwe PHS2 Male THD Ponnagyun

25 U San Min HA Male THD Ramree 26 U Saw Win Htwe PHS2 Male THD Ramree 27 U U Kyaw Htay PHS2 Male THD Rathaedaung 28 U Phyo Htet Aung HA Male THD Rathaedaung 29 Daw Aye Aye HA Female THD Sittwe 30 Daw Aye Aye Htwe PHS1 Female THD Sittwe 31 Daw Saw Moe Aye SO Female SPHD Sittwe 32 Daw Khin San Win DSO Female SPHD Sittwe 33 Daw Pyae Pyae Phyo PHS1 Female THD Taunggup 34 U Than Lwin HA Male THD Taunggup 35 U Thet Paing Soe HA Male THD Thandwe 36 U Tun Tun Aung HA1 Male THD Thandwe DHIS2 FOCAL PERSON LIST - 2017 No. Name Position Gender Department Township 1 U Oo Maung Than HA1 Male THD Ann 2 Daw Aye Sandar Myint PHS2 Female THD Ann 3 U Kyaw Than Shwe PHS1 Male THD Buthidaung 4 Daw Than Than Aye THN Female THD Buthidaung 5 Daw Nilar Aye THN Female THD Gwa 6 U Khant Wai Lin LD Clerk Male THD Gwa 7 U Moe Kyaw Kyaw HA Male THD Kyaukphyu 8 U Thein Soe Aung HA1 Male THD Kyaukphyu 9 Daw Moe Than Wai PHS2 Female THD Kyauktaw 10 U Oo Aye Thein HA1 Male THD Kyauktaw 11 U Thar Phay HA1 Male THD Manaung 12 U Thein Tun PHS1 Male THD Manaung 13 U Chit Htoo Khaing Xray Tech Male THD Maungdaw 14 U Maung Aye Thar THA Male THD Maungdaw 15 U Than Myint Aung PHS1 Male THD Minbya 16 U Hla Tun Aung PHS1 Male THD Minbya 17 U Hla Maung HA1 Male THD Mrauk Oo 18 U Saw Phyo Naing PHS2 Male THD Mrauk Oo 19 U Kyaw Hla Sein HA1 Male THD Myaebon 20 U Aung Min Thein LD Clerk Male THD Myaebon 21 Daw Aye Su Wai Lin PHS2 Female THD Pauktaw 22 Daw Khin Hnin Wai Medical Recorder Female THD Pauktaw 23 U Tin Maung Shein HA1 Male THD Ponnagyun 24 U Kyaw Nyunt Shwe PHS2 Male THD Ponnagyun 25 U San Min HA1 Male THD Ramree 26 U Aye Win Htay PHS2 Male THD Ramree 27 Daw Saw Nan Hlaing PHS1 Female THD Rathaedaung 28 U Zaw Win Htun PHS2 Male THD Rathaedaung 29 U Sein Tun THA Male SHD Sittwe 30 Daw Mi Mi Soe PHS2 Female THD Sittwe 31 Daw Khin San Win DSO Female SHD Sittwe

32 U Saw Win Maung HA1 Male THD Sittwe 33 Daw Pyae Pyae Phyo PHS2 Female THD Taunggup 34 U Than Lwin HA Male THD Taunggup 35 U Tun Tun Aung HA1 Male THD Thandwe 36 U Win Naing Tun OA Male RHD Thandwe DHIS2 FIELD SUPERVISION CHECKLIST (IN MYANMAR)

DISTRIBUTION LIST OF ICT RELATED EQUIPMENTS

No. Item QTY Distribution 1. Laptop Computers 22 4 (DoPH, Sittwe), 1 (DoMS, Sittwe), 17 (THD)* 2. Desktop Computers 5 4 (DoPH, Sittwe), 1 (DoMS, Sittwe) 3. UPS (for Desktop computers) 5 4 (DoPH, Sittwe), 1 (DoMS, Sittwe), 4. Laser Printers (B/W) 19 1 (DoPH, Sittwe), 1 (DoMS, Sittwe), 17 (THD) 5. External Hard Disk (1TB) 22 4 (DoPH, Sittwe), 1 (DoMS, Sittwe), 17 (THD) 6. Flash Drive (16GB) 22 4 (DoPH, Sittwe), 1 (DoMS, Sittwe), 17 (THD) 7. Portable Sim-Card Router 17 17 (THD) 8. Ethernet Router 1 1 (DoPH, Sittwe) 9. Projector 19 1 (DoPH, Sittwe), 1 (DoMS, Sittwe), 17 (THD) 10. Projection Canvas 19 1 (DoPH, Sittwe), 1 (DoMS, Sittwe), 17 (THD)

DISTRICT LEVEL OVERVIEW ON CAPACITY OF FOCAL PERSONS

REPORTING RATE SUMMARY

REPORING RATE SUMMARY - REPORING RATE SUMMARY - MRAUK OO DISTRICT

Can retrieve Can retrieve 1, 25% 1, 25%

Can retrieve with Can retrieve with 2, 50% 2, 50% assistance assistance Cannot retrieve Cannot retrieve 1, 25% 1, 25%

REPORING RATE SUMMARY - REPORING RATE SUMMARY - KYAUKPHYU DISTRICT

0, 0% Can retrieve Can retrieve 1, 25% 1, 25%

Can retrieve with Can retrieve with 1, 50% 1, 50% assistance assistance Cannot retrieve Cannot retrieve 2, 50%

REPORING RATE SUMMARY -

0, 0% Can retrieve 1, 33% Can retrieve with assistance 2, 67% Cannot retrieve

VALIDATION RULE ANALYSIS

VALIDATION RULE ANALYSIS - VALIDATION RULE ANALYSIS - SITTWE DISTRICT MRAUK OO DISTRICT

Can retrieve Can retrieve 1, 25% 1, 25% 1, 25%

Can retrieve with Can retrieve with 2, 50% assistance assistance Cannot retrieve Cannot retrieve 1, 25% 2, 50%

VALIDATION RULE ANALYSIS - VALIDATION RULE ANALYSIS - MAUNGDAW DISTRICT KYAUK PHYU DISTRICT

0, 0% Can retrieve Can retrieve 1, 25% 1, 25%

Can retrieve with Can retrieve with 1, 50% 1, 50% assistance assistance Cannot retrieve Cannot retrieve 2, 50%

VALIDATION RULE ANALYSIS - THANDWE DISTRICT

0, 0% Can retrieve 1, 33% Can retrieve with assistance 2, 67% Cannot retrieve

USING DATASET OR PIVOT

DATA SET REPORT OR PIVOT - DATA SET REPORT OR PIVOT - SITTWE DISTRICT MRAUK OO DISTRICT

Can retrieve Can retrieve 1, 25% 1, 25% 1, 25%

Can retrieve with Can retrieve with 2, 50% assistance assistance Cannot retrieve Cannot retrieve 1, 25% 2, 50%

DATA SET REPORT OR PIVOT - DATA SET REPORT OR PIVOT - KYAUK MAUNGDAW DISTRICT PHYU DISTRICT

0, 0% Can retrieve Can retrieve 1, 25%

Can retrieve with Can retrieve with 1, 50% 1, 50% 2, 50% assistance assistance Cannot retrieve Cannot retrieve 1, 25%

DATA SET REPORT OR PIVOT - THANDWE DISTRICT

0, 0% Can retrieve 1, 33% Can retrieve with assistance 2, 67% Cannot retrieve

EXTRACTION OR CALCUATION OF KEY INDICATORS

EXTRACTION OF KEY INDICATORS - EXTRACTION OF KEY INDICATORS - SITTWE DISTRICT MRAUK OO DISTRICT

Can retrieve Can retrieve 1, 25% 1, 25%

Can retrieve with Can retrieve with 0, 0% assistance assistance Cannot retrieve Cannot retrieve 3, 75% 3, 75%

EXTRACTION OF KEY INDICATORS - EXTRACTION OF KEY INDICATORS - MAUNGDAW DISTRICT KYAUK PHYU DISTRICT

0, 0% 0, 0% Can retrieve Can retrieve 1, 25%

Can retrieve with Can retrieve with 1, 50% 1, 50% assistance assistance Cannot retrieve Cannot retrieve 3, 75%

EXTRACTION OF KEY INDICATORS - THANDWE DISTRICT

0, 0% Can retrieve

Can retrieve with assistance Cannot retrieve 3, 100%