Ministry of Health Statistical Abstract 2008/09

The Republic of Uganda

MINISTRY OF HEALTH STATISTICAL ABSTRACT 2008/09

MINISTRY OF HEALTH P.O. Box 7272, Kampala – Uganda Tel: +256 414 340874, +256 414 231563/9 Fax: +256 414340877, +256 414 231584 E-mail: [email protected] Website: http://www.health.go.ug

The Republic of Uganda

MINISTRY OF HEALTH STATISTICAL ABSTRACT 2008/09

December 2009

Citation: Uganda, Ministry of Health Statistical Abstract 2008/09, December 2009, Kampala.

iii

TABLE OF CONTENTS

TABLE OF CONTENTS ______v FOREWORD ______vii ACKNOWLEDGEMENT ______viii ACRONYMS ______ix LIST OF TABLES ______xi LIST OF FIGURES ______xii EXECUTIVE SUMMARY ______xiii 1.0 GENERAL INFORMATION ______1 1.1 DEMOGRAPHIC CHARACTERISTICS ______1 1.2. POPULATION DISTRIBUTION ______3 2.0 HEALTH INPUTS ______6 2.1 HEALTH FACILITIES ______6 2.2 HUMAN RESOURCES FOR HEALTH______16 2.3. FINANCING IN THE HEALTH SECTOR ______21 3.0 PERFORMANCE OF HEALTH FACILITIES IN FY 2008/09 ______23 3.1 HOSPITALS PERFORMANCE IN FY 2008/09 ______23 3.2 HEALTH CENTER IV FUNCTIONALITY FY 2008/09 ______29 4.0 HEALTH OUTPUTS ______31 4.1 KEY HEALTH INDICATORS FOR FY 2008/09 ______31 4.2 DISTRICT LEAGUE TABLE ______31 4.3 TIMELINESS AND COMPLETENESS OF HMIS REPORTING ______32 4.4 OUTPATIENT INDICATORS ______32 4.5 IMMUNISATION INDICATORS ______33 4.6 OTHER CHILD HEALTH INDICATORS FY 2008/09 ______34 4.7 HOUSEHOLD PIT LATRINE COVERAGE FY 2008/09 ______36 4.8 LABORATORY INDICATORS FOR FY 2008/09 ______37 4.9 HIV/AIDS INDICATORS FY 2008/09 ______39 4.10 MATERNAL HEALTH AND FAMILY PLANNING INDICATORS FY 2008/09 ______42

v 4.11 STOCK OUT OF ESSENTIAL DRUGS BY DISTRICT IN FY 2008/09 ____ 45 5.0 CAUSES OF MORBIDITY FOR FY 2008/09 ______50 5.1. ALL CAUSES OF MORBIDITY FOR FY 2008/09 ______50 5.2: CAUSES OF MORBIDITY BY AGE GROUP FOR FY 2008/09 ______51 5.3: CAUSES OF MORBIDITY BY GENDER FOR FY 2008/09 ______53 5.4: NON COMMUNICABLE DISEASES FOR FY 2008/09 ______54 5.5: DISEASES OF EPIDEMIC POTENTIAL FOR FY 2008/09 ______55 5.6: MATERNAL AND PERINATAL CONDITIONS FOR FY 2008/09 ______55 APPENDICES ______56 APPENDIX I: SERVICE AVAILABILITY AT HC IV LEVEL FOR FY 2008/09 _ 56 APPENDIX II: SELECTED SERVICE OUTPUTS FOR HC IVS IN FY 2008/09 _ 62 APPENDIX III: AVAILABILITY AND FUNCTIONALITY OF INFRASTRUCTURE AT HC IV LEVEL FOR FY 2008/09 ______69 APPENDIX IV: THE DISTRICT LEAGUE TABLE FOR FY 2008/09 ______73 APPENDIX V: TIMELINESS AND COMPLETENESS OF OUTPATIENT REPORTING 2008/09 ______79 APPENDIX VI: TIMELINESS AND COMPLETENESS OF INPATIENT REPORTING 2008/09 ______83 APPENDIX VII: OUTPATIENT INDICATORS BY DISTRICT FOR FY 2008/09 87 APPENDIX VIII: IMMUNISATION INDICATORS BY DISTRICT FOR FY 2008/09 ______89 APPENDIX IX: PROPORTION OF HEALTH FACILITIES REPORTING BY MONTH BY DISTRICT FOR THE FY 2008/09 ______92

vi FOREWORD

The Ministry of Health hereby presents the Statistical Abstract for the financial year 2008/09.

It is a comprehensive summary of statistics generated from routine health management information system and health surveys in the sector. It gives highlights on morbidity and mortality status, health infrastructure, drug logistics, human resource and financial summaries among others. It is a convenient volume for statistical reference in both print and electronic (http://library.health.go.ug).

This statistical abstract is one of the platforms for health statistics dissemination and will enable the sector to formulate strategies for consolidating the achievements and overcoming bottlenecks identified.

This abstract aims to arouse interest of all stakeholders in the use of health information generated for policy formulation, planning, monitoring and evaluation.

We shall continue to be grateful for any valuable comments/contributions about this publication so as to improve future presentations.

Dr Francis Runumi Ag. DIRECTOR HEALTH SERVICES (PLANNING & DEVELOPMENT) MINISTRY OF HEALTH

vii

ACKNOWLEDGEMENT

The Ministry of Health (Resource Centre Division) wishes to acknowledge and appreciate the valuable technical input and dedication of the Resource Centre Team towards the development of this Statistical Abstract.

The Ministry further wishes to acknowledge in a special way the following people and institutions who have contributed immensely towards the development and finalization of this Statistical Abstract.

Name Title and Organization 1. Dr.Eddie Mukooyo ACHS/Resource Centre, MOH 2. Mr. Amos Nzabanita Principal Biostatistician, MOH 3. Dr. Rachel Seruyange Principal Epidemiologist, MOH 4. Mrs. Juliet Nansonga Kaggwa Senior Information Scientist, MOH 5. Mrs. Caroline Kyozira Senior Biostatistician, MOH 6. Mr. Herbert Mulira Data Management Officer, MOH 7. Mr. Didacus Namanya Geographer, MOH 8. Eng. Martin Kiyingi Systems Administrator, MOH 9. Ms. Zaituni Nassanga Computer Operations Assistant, MOH 10. Mr. Paul Bamwoze Assistant Computer Operator, MOH 11. Mr. Moses Doka Librarian, MOH 12. Mr. Fred Katunguka Health Educator, MOH 13. Mr. David Mutegeki Health Educator, MOH 14. Mr. Nasan Natseri Data Manager, WHO 15. Mr. Nathan Lubowa Statistician, MOH 16. Ms. Connie Nangobi Data Manager, MOH

The Ministry is equally very grateful for the support, cooperation and collaboration rendered by WHO towards the development and printing of the Statistical Abstract 2008/09.

viii

ACRONYMS

ACP AIDS Control Program ALOS Average Length of Stay ANC Antenatal Care ARI Acute Respiratory Infection ART Anti Retroviral Therapy BCG Bacillus Calmette-Guérin vaccine BOR Bed Occupancy Rate C/S Caesarian Section CPR Contraceptive Prevalence Rate CTX Cotrimoxazole CYP Couple Years of Protection DOTs Directly Observed Treatment DPT-Hep+Hib Diphtheria, Pertussis,Tetanus, Hepatitis B + Haemophilus Influenzae b ENT Ear Nose and Throat FDS Financial Decentralization Strategy FY Financial Year GoU Government of Uganda HC Health Center HCT HIV Counseling & Testing HIV Human Immune Virus HMIS Health Management Information System HRD Human Resources Development HSDs Health Sub-Districts HSSP Health Sector Strategic Plan IPD In Patient Department IPT Intermittent Presumptive Treatment ITN Insectiside Treated Net JMS Joint Medical Stores KIU Kampala International University LTFP Long Term Family Planning methods MoFPED Ministry of Finance, Planning and Economic Development ix MOH Ministry of Health MTEF Mid-Term Expenditure Fund NHA National Health Assembly NMS National Medical Stores NTLP National Tuberculosis & Leprosy Program OPD Out Patient Department ORS Oral Rehydration Salt PHC Primary Health Care PHC-CG Primary Health Care-Conditional Grant PHP Private Health Practitioners PMTCT Prevention of Mother To Child Transmission PNFP Non-Governmental Organization PNFP Private Not For Profit STI Sexual Transmitted Infections SUO Standard Unit of Output SWAP Sector Wide Approches TB Tuberculosis TT Tetanus Toxoid UBOS Uganda Bureau of Statistics UNMHCP National Minimum Health Care Package USD United States Dollar

LIST OF TABLES

Table 1: Demographic characteristics ______1 Table 2: Distribution of Target Population by District, Mid - 2009 ______3 Table 3: Distribution of functional Health Units by district, level and ownership ______6 Table 4: Hospitals by District ______9 Table 5: Health Centre IVs by district ______12 Table 6: District staffing – 2009 (Comparison between actual and norm) ______16 Table 7: Staffing levels of selected* staff in Regional Referral and large ______19 Table 8: Staffing levels in General hospitals ______20 Table 9: Health Sector Financial Performance in FY 2008/09 ______22 Table 10: Outputs from Regional and Large PNFP hospitals FY 2008/09 ______23 Table 11: Outputs from General Hospitals FY 2008/09 ______25 Table 12: Selected service outputs for HC IVs in FY 2008/09 ______30 Table 13: Summary of Key Health indicators for FY 2008/09 ______31 Table 14: Outpatient Indicators ______32 Table 15: Immunisation Indicators ______33 Table 16: Child health indicators by district FY 2008/09______34 Table 17: Laboratory indicators by district for FY 2008/09 ______37 Table 18: Maternal health and family planning indicators by district FY 2008/09 ______42 Table 19: Stockout status of essential drugs by district FY 2008/09 ______46 Table 20: Ranking of all causes of morbidity for all age groups FY 2008/09 ______50 Table 21: Ranking of non communicable diseases according to age group for FY 2008/09 ___ 54 Table 22: Summary of diseases of epidemic potential for FY 2008/09 ______55

xi LIST OF FIGURES

Figure 1: Map of Uganda showing district level administrative units ______2 Figure 2: Selected key health services by HC IVs in FY 2008/09 ______29 Figure 3: Availability and functionality of Infrastructure at HC IV level for ______30 Figure 4: DPT-HepB+Hib3 Coverage by district FY 2008/09 ______33 Figure 5: Household pit latrine coverage FY 2008/09 ______36 Figure 6: Major PMTCT National level Indicators FY 2008/09 ______39 Figure 7: Major ART Indicators FY 2008/09 ______39 Figure 8: Distribution of Clients who tested for HIV/AIDS by gender for FY 2008/09 ______40 Figure 9: Distribution of Clients who tested for HIV/AIDS by age group for FY 2008/09 ____ 40 Figure 10: Other findings from the HIV/AIDS Laboratory data for FY 2008/09 ______41 Figure 11: Proportion of Pregnant women receiving 2nd dose of Fansidar (IPT 2) ______44 Figure 12: Top 10 causes of morbidity in all age groups for FY 2008/09 ______51 Figure 13: Top 10 causes of morbidity in the under 5’s for FY 2008/09 ______52 Figure 14: Top 10 causes of morbidity in above 5yr’s for FY 2008/09 ______52 Figure 15: Top 10 causes of morbidity in male for FY 2008/09 ______53 Figure 16: Top 10 causes of morbidity in female for FY 2008/09 ______53 Figure 17: Distribution of maternal and perinatal conditions for FY 2008/09 ______55

xii

EXECUTIVE SUMMARY

The Ministry of Health Statistical Abstract is an annual report that gives a statistical summary of the inputs and outputs of the health sector. The main objective of the abstract is to create a platform for the dissemination of health information, which is needed for policy formulation, planning, monitoring and evaluation, resource mobilization and allocation in the health sector by health managers and other stakeholders. The report is presented in five chapters.

Section one gives the demographic characteristics of Uganda, highlighting the district level administrative units. The 2009 mid year population of Uganda is projected to be 30.7 million with 52% female and 48% male.

Section two presents a broader view of the health sector inputs (Human Resource for Health, Health Infrastructure and Finance). The above mentioned inputs are critical in health sector performance and their inadequacy continues to affect overall performance of the sector. Despite of the fact that some health inputs are still inadequate, the abstract presents some indicators surpassing set targets, which is a positive trend indicating that if more resources are allocated to the sector the level of performance will increase.

Section three looks at the functionality of Health Centre IVs which are considered to be the most feasible means of ensuring universal access to most key components of the UNMHCP. Adequate resources are required to ensure functionality of the HC IVs in order for the sector to realize some of the major outputs like deliveries in health units and surgical procedures.

The fourth section presents key health outputs ranging from accessibility, services, utilization and quality indicators. Despite significant improvement in performance some health indicators remain far below the set target. This requires continuous support supervision, monitoring and evaluation of sector performance for better outputs and health outcomes.

The last section highlights the major causes of morbidity with malaria ranking highest. The diseases are also analyzed by gender and age segregation. The sector is however working tirelessly to lessen the disease burden through various proactive approaches.

xiii

1.0 GENERAL INFORMATION

1.1 DEMOGRAPHIC CHARACTERISTICS

Uganda is a land locked country located in East Africa, bordered by Sudan in the north, Kenya in the east, Tanzania and Rwanda in the south and Democratic Republic of Congo in the west. It covers 241,551 square kilometers, of which 197,323 square kilometers is land area. The country is divided into 80 Districts all of which have a decentralized local governance system. The districts have various land sizes and populations. With its population growing at the rate of 3.2% per annum, Uganda has one of the highest growth rates in the world and higher than the Sub- Saharan Africa average of 2.4%

Only 49% of households have access to health care facilities in Uganda. Access to health care facilities has been limited by poor infrastructure, especially in the rural areas we the majority of the population lives.

In order to address these issues, the Government of Uganda developed a Health Sector Strategic Plan which addresses the issues of access to health services through political structure that run from the district up to parish level.

The Population census conducted in 2002 put the total population of Uganda at 24.7 million persons. The projected 2009 midyear population is 30.7 million with the following characteristics:

Table 1: Demographic characteristics Total population 30.7 million Female population 15.6 million (52%) Male population 14.4 million (48%) Percentage urban 14.9% Women of reproductive age group (15-49) 6.0 million Expected pregnancies 1.5 million Expected births 1.4 million Children < 1 year 1.2 million Population aged 0-4 years 6.0 million Population below 15years 14.7 million Sex ratio 95males per 100 females Area of Uganda 241,000 km2 Population Density 123 persons/Km2 Number of districts 80 Source: UBOS Statistical Abstract 2009, UDHS 2006, HMIS

Figure 1: Map of Uganda showing district level administrative units

1.2. POPULATION DISTRIBUTION

Table 2: Distribution of Target Population by District, Mid - 2009 No. District Total Children Expected Expected Expected Children People Male (0.48) Female Population Under 1yr Pregnancies TB Cases Birth under 5yrs under 15yrs (0.52) (0.043) (0.05) (0.003) (0.0485) (0.202) of age (0.49) 1 Abim 53,476 2,299 2,674 160 112 464 26,203 25,669 27,808 2 Adjuman 305,621 13,142 15,281 917 637 2,655 149,754 146,698 158,923 3 Amolatar 114,939 4,942 5,747 345 240 998 56,320 55,171 59,768 4 Amuria 310,900 13,369 15,545 933 648 2,700 152,341 149,232 161,668 5 Amuru 210,383 9,046 10,519 631 439 1,827 103,088 100,984 109,399 6 Apac 515,497 22,166 25,775 1,546 1,075 4,478 252,594 247,439 268,059 7 Arua 499,525 21,480 24,976 1,499 1,042 4,339 244,767 239,772 259,753 8 Budaka 161,649 6,951 8,082 485 337 1,404 79,208 77,591 84,057 9 Bududa 157,602 6,777 7,880 473 329 1,369 77,225 75,649 81,953 10 Bugiri 560,499 24,101 8,025 1,681 1,169 4,868 274,645 269,040 291,460 11 Bukedea 160,896 6,919 8,045 483 336 1,398 78,839 77,230 83,666 12 Bukwa 63,604 2,735 3,180 191 133 552 31,166 30,530 33,074 13 Bulisa 73,698 3,169 3,685 221 154 640 36,112 35,375 38,323 14 Bundibugyo 291,609 12,539 14,580 875 608 2,533 142,888 139,972 151,637 15 Bushenyi 825,868 35,512 41,293 2,478 1,722 7,173 404,675 396,417 429,451 16 Busia 268,226 11,534 13,411 805 559 2,330 131,431 128,748 139,477 17 Butaleja 195,640 8,413 9,782 587 408 1,699 95,863 93,907 101,733 18 Dokolo 162,039 6,968 8,102 486 338 1,407 79,399 77,779 84,260 19 Gulu 357,432 15,370 17,872 1,072 745 3,105 175,142 171,567 185,865 20 Hoima 467,011 20,081 23,351 1,401 974 4,056 228,835 224,165 242,846 21 Ibanda 232,345 9,991 11,617 697 485 2,018 113,849 111,525 120,819 22 Iganga 672,758 28,929 33,638 2,018 1,403 5,844 329,652 322,924 349,834 23 Isingiro 378,279 16,266 18,914 1,135 789 3,286 185,357 181,574 196,705 24 Jinja 454,818 19,557 22,741 1,364 949 3,951 222,861 218,313 236,505

3 No. District Total Children Expected Expected Expected Children People Male (0.48) Female Population Under 1yr Pregnancies TB Cases Birth under 5yrs under 15yrs (0.52) (0.043) (0.05) (0.003) (0.0485) (0.202) of age (0.49) 25 Kaabong 316,637 13,615 15,832 950 660 2,750 155,152 151,986 164,651 26 Kabale 477,220 20,520 23,861 1,432 995 4,145 233,838 229,066 248,155 27 Kabarole 389,575 16,752 19,479 1,169 812 3,384 190,892 186,996 202,579 28 Kaberamaido 172,272 7,408 8,614 517 359 1,496 84,413 82,690 89,581 29 Kalangala 53,307 2,292 2,665 160 111 463 26,121 25,588 27,720 30 Kaliro 191,770 8,246 9,588 575 400 1,666 93,967 92,050 99,720 31 Kampala 1,510,186 64,938 75,509 4,531 3,149 13,117 739,991 724,889 785,297 32 Kamuli 680,434 29,259 34,022 2,041 1,419 5,910 333,413 326,608 353,826 33 Kamwenge 303,961 13,070 15,198 912 634 2,640 148,941 145,901 158,060 34 Kanungu 232,348 9,991 11,617 697 485 2,018 113,850 111,527 120,821 35 Kapchorwa 187,085 8,045 9,354 561 390 1,625 91,672 89,801 97,284 36 Kasese 658,397 28,311 32,920 1,975 1,373 5,719 322,615 316,031 342,367 37 Katakwi 153,706 6,609 7,685 461 321 1,335 75,316 73,779 79,927 38 Kayunga 331,503 14,255 16,575 995 691 2,879 162,437 159,122 172,382 39 Kibaale 570,999 24,553 28,550 1,713 1,191 4,960 279,790 274,080 296,920 40 Kiboga 300,616 12,926 15,031 902 627 2,611 147,302 144,296 156,320 41 Kiruhura 265,451 11,414 13,273 796 554 2,306 130,071 127,416 138,034 42 Kisoro 239,214 10,286 11,961 718 499 2,078 117,215 114,823 124,391 43 Kitgum 365,088 15,699 18,254 1,095 761 3,171 178,893 175,242 189,846 44 Koboko 193,461 8,319 9,673 580 403 1,680 94,796 92,861 100,600 45 Kotido 188,076 8,087 9,404 564 392 1,634 92,157 90,277 97,800 46 Kumi 354,819 15,257 17,741 1,064 740 3,082 173,861 170,313 184,506 47 Kyenjonjo 477,235 20,521 23,862 1,432 995 4,145 233,845 229,073 248,162 48 Lira 636,200 27,357 31,810 1,909 1,327 5,526 311,738 305,376 330,824 49 Luweero 399,726 17,188 19,986 1,199 834 72 195,866 191,868 207,857 50 Lyantonde 74,168 3,189 3,708 223 155 644 36,342 35,601 38,567 51 Manafwa 325,493 13,996 16,275 976 679 2,827 159,492 156,237 169,256 52 Masaka 809,916 34,826 40,496 2,430 1,689 7,035 396,859 388,760 421,157 53 Masindi 560,130 24,086 28,006 1,680 1,168 4,865 274,464 268,862 291,267

4 No. District Total Children Expected Expected Expected Children People Male (0.48) Female Population Under 1yr Pregnancies TB Cases Birth under 5yrs under 15yrs (0.52) (0.043) (0.05) (0.003) (0.0485) (0.202) of age (0.49) 54 Mayuge 406,658 17,486 20,333 1,220 848 3,532 199,262 195,196 211,462 55 Mbale 97,252 17,082 19,863 1,192 828 3,451 194,653 190,681 206,571 56 Mbarara 410,503 17,652 20,525 1,232 856 3,566 201,147 197,042 213,462 57 Mityana 291,392 12,530 14,570 874 608 2,531 142,782 139,868 151,524 58 Moroto 275,988 11,867 13,799 828 576 2,397 135,234 132,474 143,514 59 Moyo ,155 13,853 16,108 966 672 2,798 157,856 154,634 167,521 60 Mpigi 440,213 18,929 22,011 1,321 918 3,824 215,705 211,302 228,911 61 Mubende 535,722 23,036 26,786 1,607 1,117 4,653 262,504 257,146 278,575 62 Mukono 937,733 40,322 46,887 2,813 1,956 8,145 459,489 450,112 487,621 63 Nakapiripirit 226,611 9,744 11,331 680 473 1,968 111,039 108,773 117,838 64 Nakaseke 169,490 7,288 8,474 508 353 1,472 83,050 81,355 88,135 65 Nakasongola 144,081 6,195 7,204 432 300 1,251 70,600 69,159 74,922 66 Namutumba 198,060 8,517 9,903 594 413 1,720 97,050 95,069 102,991 67 Nebbi 513,635 22,086 25,682 1,541 1,071 4,461 251,681 246,545 267,090 68 Ntungamo 439,054 18,879 21,953 1,317 916 3,814 215,136 210,746 228,308 69 Nyadri 369,187 15,875 18,459 1,108 770 3,207 180,902 177,210 191,977 70 Oyam 335,287 14,417 16,764 1,006 699 2,912 164,291 160,938 174,349 71 Pader 450,093 19,354 22,505 1,350 939 3,910 220,545 216,045 234,048 72 Pallisa 480,166 20,647 24,008 1,440 1,001 4,171 235,281 230,480 249,686 73 Rakai 449,869 19,344 22,493 1,350 938 3,908 220,436 215,937 233,932 74 Rukungiri 301,023 12,944 15,051 903 628 2,615 147,501 144,491 156,532 75 Sironko 331,513 14,255 16,576 995 691 2,880 162,441 159,126 172,387 76 Soroti 517,218 22,240 25,861 1,552 1,079 4,493 253,437 248,265 268,953 77 Ssembabule 202,815 8,721 10,141 608 423 1,762 99,379 97,351 105,464 78 Tororo 443,508 19,071 22,175 1,331 925 3,852 217,319 212,884 230,624 79 Wakiso 1,186,654 51,026 59,333 3,560 2,475 10,307 581,461 569,594 617,060 80 Yumbe 423,145 18,195 21,157 1,269 882 3,675 207,341 203,110 220,035 UGANDA 30,712,336 1,320,630 1,535,617 92,137 1,489,548 6,203,892 15,049,045 14,741,921 15,970,415 Source: UBOS and Ministry of Health-Resource Centre

5 2.0 HEALTH INPUTS

The inputs to the health system comprise of infrastructure, equipment, human resources, drugs and finances. These are the building blocks and important inputs in the implementation of the Uganda National Minimum Health Care Package (UNMHCP).

2.1 HEALTH FACILITIES

The delivery of the UNMHCP is largely dependant on facilities; requiring buildings, equipment, communication facilities and vehicles. The HSSP II objective for the health infrastructure development was to ensure that 85% of the population lies within 5km walking distance to access a well equipped health facility regardless of level. As HSSP II started, the equipping of health facilities in the country was very bad at all levels especially in the newly created health facilities. Equipping of hospitals had been neglected for sometime and concentration was on Health Centres. About 60% of the available equipment was obsolete; there is poor communication, transport and ambulatory services at all levels posing a big challenge to effective and efficient implementation of health care delivery services like referral.

Functionality of health facilities largely depends on adequate staffing levels, financial inputs, availability of equipment and maintenance mechanisms, social services among others. Where these are lacking functionality remains a big challenge. It is also noted that remote districts are most affected due to poor staff attraction and retention, poor social services among others.

Table 3: Distribution of functional Health Units by district, level and ownership HOSPITAL HC IV HC III HC II NO GOV PNF PH GOV PNF PH TOTA . DISTRICT GOVT PNFP PHP GOVT PNFP PHP T P P T P P L 1 ABIM 1 0 0 0 0 0 2 1 0 6 1 0 11 2 ADJUMANI 1 0 0 1 0 0 5 4 0 12 10 0 33 3 AMOLATAR 0 1 0 0 0 0 1 0 0 7 2 0 11 4 AMURIA 0 0 0 2 0 0 7 3 0 16 4 0 32 5 AMURU 1 0 0 1 0 0 5 2 0 19 0 0 28 6 APAC 1 0 0 2 0 0 7 1 0 21 4 1 37 7 ARUA 1 1 0 3 0 0 14 3 0 15 5 0 42 8 BUDAKA 0 0 0 1 0 0 8 2 0 2 1 0 14 9 BUDUDA 1 0 0 0 0 0 7 0 0 2 2 0 12 10 BUGIRI 1 0 0 2 0 0 11 0 0 40 13 0 67 11 BUKEDEA 0 0 0 1 0 0 5 0 0 1 2 2 11 12 BUKWO 0 0 0 0 1 0 3 0 0 7 0 0 11 13 BULIISA 0 0 0 1 0 0 1 0 0 5 1 0 8 14 BUNDIBUGYO 1 0 0 3 0 0 5 1 0 17 1 0 28 15 BUSHENYI 1 2 0 5 0 0 27 5 2 46 12 4 104 16 BUSIA 1 0 0 1 1 0 7 0 0 13 1 0 24 17 BUTALEJA 1 0 0 0 0 0 7 1 1 10 0 0 20 18 DOKOLO 0 0 0 1 0 0 3 0 0 6 2 0 12

6 HOSPITAL HC IV HC III HC II NO GOV PNF PH GOV PNF PH TOTA . DISTRICT GOVT PNFP PHP GOVT PNFP PHP T P P T P P L 19 GULU 2 1 1 2 0 0 11 1 0 10 5 0 33 20 HOIMA 1 0 0 1 0 0 19 2 0 19 8 0 50 21 IBANDA 0 1 0 2 0 0 5 1 0 25 1 0 35 22 IGANGA 1 0 0 3 0 0 15 1 0 33 17 0 70 23 ISINGIRO 0 0 0 3 0 0 7 7 0 32 3 0 52 24 JINJA 1 1 1 5 1 0 12 3 0 36 7 2 69 25 KAABONG 1 0 0 0 0 0 1 0 0 20 4 0 26 26 KABALE 1 0 0 6 0 0 12 4 0 51 10 0 84 27 KABAROLE 1 1 1 2 0 0 13 5 0 21 7 3 54 28 KABERAMAIDO 0 1 0 1 0 0 7 1 0 6 3 0 19 29 KALANGALA 0 0 0 2 0 0 6 0 0 2 1 0 11 30 KALIRO 0 0 0 1 0 0 4 1 0 4 6 0 16 31 KAMPALA 4 4 4 3 1 0 11 8 1 12 3 225 276 32 KAMULI 1 1 0 3 0 0 14 0 0 23 25 3 70 33 KAMWENGE 0 0 0 2 0 0 7 1 0 13 6 0 29 34 KANUNGU 1 0 0 1 0 0 9 1 0 13 21 0 46 35 KAPCHORWA 1 0 0 1 0 0 10 0 0 10 8 0 30 36 KASESE 1 2 0 1 1 1 23 5 0 45 4 14 97 37 KATAKWI 0 0 0 1 0 0 3 2 0 10 2 0 18 38 KAYUNGA 1 0 0 2 0 0 8 0 0 8 4 0 23 39 KIBAALE 1 0 0 3 1 0 15 4 0 10 12 0 46 40 KIBOGA 1 0 0 2 0 0 11 1 1 18 5 0 39 41 KIRUHURA 0 1 0 0 0 0 7 0 0 0 0 0 8 42 KISORO 1 1 0 3 0 0 13 2 0 11 1 0 32 43 KITGUM 1 1 0 1 0 0 10 1 0 20 1 0 35 44 KOBOKO 0 0 0 1 0 0 2 1 0 5 0 0 9 45 KOTIDO 0 0 0 1 0 0 2 1 0 5 0 0 9 46 KUMI 1 2 0 1 0 0 11 0 0 7 4 0 26 47 KYENJOJO 0 0 0 3 0 0 13 5 0 13 6 0 40 48 LIRA 1 0 1 4 2 0 3 4 0 31 2 0 48 49 LUWERO 1 0 0 3 0 0 13 6 1 15 13 3 55 50 LYANTONDE 1 0 0 0 0 0 6 0 0 3 0 0 10 51 MANAFWA 1 0 0 0 0 0 4 0 0 3 2 0 10 52 NYADRI 0 2 0 1 0 0 10 3 0 12 0 0 28 53 MASAKA 1 2 0 7 1 0 12 6 0 29 21 1 80 54 MASINDI 2 0 0 1 0 0 12 3 0 30 3 0 51 55 MAYUGE 0 1 0 2 0 0 4 0 0 17 5 0 29 56 MBALE 1 0 0 2 0 0 7 5 0 7 1 0 23 57 MBARARA 1 0 0 2 1 0 17 1 0 24 3 0 49 58 MITYANA 1 0 0 2 1 0 8 4 0 19 10 0 45 59 MOROTO 1 1 0 0 0 0 2 4 0 8 1 0 17 60 MOYO 1 0 0 1 0 0 9 3 0 20 3 0 37 61 MPIGI 1 1 0 2 0 0 19 10 0 25 3 0 61 62 MUBENDE 1 0 0 2 0 0 9 2 0 26 6 0 46

7 HOSPITAL HC IV HC III HC II NO GOV PNF PH GOV PNF PH TOTA . DISTRICT GOVT PNFP PHP GOVT PNFP PHP T P P T P P L 63 MUKONO 1 4 0 3 1 0 22 1 0 26 16 0 74 64 NAKAPIRIPIRIT . 0 1 0 2 0 0 3 0 0 7 5 0 18 65 NAKASEKE 1 1 0 1 0 0 6 1 0 8 2 0 20 66 NAKASONGOLA 1 0 0 1 0 0 9 1 0 17 2 0 31 67 NAMUTUMBA 1 0 0 1 0 0 9 1 0 17 2 0 31 68 NEBBI 1 2 0 1 0 0 17 9 0 23 4 0 57 69 NTUNGAMO 1 0 0 3 0 0 10 0 0 19 2 1 36 70 OYAM 0 1 0 1 0 0 3 2 0 8 0 0 15 71 PADER 0 1 0 1 0 0 15 1 0 16 1 0 35 72 PALLISA 1 1 0 2 0 0 18 4 0 10 3 0 39 73 RAKAI 2 0 0 2 0 0 22 0 0 44 17 0 87 74 RUKUNGIRI 0 2 0 3 0 0 9 8 0 23 15 0 60 75 SEMBABULE 0 0 0 2 0 0 4 3 0 15 0 0 24 76 SIRONKO 0 0 0 3 0 0 19 2 0 7 6 0 37 77 SOROTI 1 0 0 3 0 0 15 3 0 16 6 0 44 78 TORORO 1 2 0 3 0 0 15 1 1 35 3 2 63 79 WAKISO 1 3 0 5 0 0 17 15 0 36 21 0 98 80 YUMBE 1 0 0 0 0 0 8 2 0 9 2 0 22 TOTAL BY OWNERSHIP AND LEVEL 60 46 8 147 12 1 762 186 7 1332 415 261 3237 TOTAL BY LEVEL 114 160 955 2008 3237 Source: Ministry of Health, Health Infrastructure Division, Health Facility Inventory-2006

2.1.1 HOSPITALS

Hospitals play a major role in the provision of health care and it was envisaged that with the strengthening of hospitals services, integrated clinical care would effectively be delivered. The HSSP II prioritized improvement of emergency care services and the consolidation of essential clinical services. The National hospital policy also clearly spells out the priority of ensuring basic essential clinical care through provision of emergency services and care of common illnesses an injuries through hospitals and lower health facilities.

National Referral hospitals

There are two national referral hospitals; Butabika hospital which was established in 1955 and the only mental health hospital in the country. Mulago hospital is the biggest national referral hospital and it serves as a teaching hospital as well. The national referral hospitals provide comprehensive specialist services and are involved in teaching and health research.

Regional Referral hospitals

8 These hospitals provide specialist services such as psychiatric, ear, nose and throat (ENT), radiology, pathology, ophthalmology, high level surgical and medical services in addition to services offered at the general hospitals.

General Hospitals

General hospitals have continued to provide a large output of outpatient and inpatient services. They however continue to face serious resource constraints (financial, human, poor infrastructure etc) and this contributes significantly to the reduction of the standard unit of output in these hospitals.

Table 4: Hospitals by District Owner No. Of No District Name Of Hospital Ship Beds National Referral hospitals 1 Kampala Mulago Hospital Complex GOVT 1609 2 Kampala Butabika GOVT 400 Regional Referral hospitals 1 Arua Arua Hospital GOVT 250 2 Gulu Gulu Hospital GOVT 335 3 Jinja Jinja Hospital GOVT 431 4 Kabale Kabale Hospital GOVT 122 5 Kabarole Fortportal Hospital GOVT 200 6 Mbale Mbale Hospital GOVT 302 7 Soroti Soroti Hospital GOVT 150 8 Hoima Hoima Hospital GOVT 139 9 Masaka Masaka Hospital GOVT 330 10 Lira Lira Hospital GOVT 254 11 Mbarara Mbarara Hospital GOVT 250 General Hospitals 1 Abim Abim GOVT 136 2 Adjumani Adjumani GOVT 100 3 Amolatar Amai PNFP 80 4 Amuru Anaka GOVT 60 5 Apac Apac GOVT 100 7 Arua Kuluva PNFP 200 8 Budaka River side PHP 9 Bududa Bududa GOVT 120 10 Bugiri Bugiri hospital GOVT 139 11 Bundibugyo Bundibujyo GOVT 115 12 Bushenyi Comboni PNFP 50 13 Bushenyi KIU Teaching Hosp PHP 100 14 Bushenyi Ishaka PNFP 200 15 Bushenyi Kitagata GOVT 100 16 Busia Masafu GOVT 52 17 Butaleja Busolwe GOVT 106 18 Butaleja Kabasa Mem. Centre PNFP

9 Owner No. Of No District Name Of Hospital Ship Beds 19 Gulu Gulu Military Hosp GOVT 78 20 Gulu Gulu Independent PNFP 79 21 Gulu Lacor PNFP 445 22 Ibanda Ibanda PNFP 178 23 Iganga Iganga hosp GOVT 115 24 Kabale Kabale GOVT 122 25 Kabale Rugarama PNFP 26 Kabarole Kabarole PNFP 136 27 Kabarole Virika PNFP 185 28 Kaberamaido Lwala PNFP 278 29 Kampala Kololo hospital PHP 100 30 Kampala International hosp. PHP 100 31 Kampala Kibuli hospital PNFP 253 32 Kampala Nsambya hospital PNFP 250 33 Kampala Bugolobi hospital PHP 80 34 Kampala Kadic hospital PHP 35 Kampala Butabika hospital GOVT 400 36 Kampala Murchison Bay GOVT 80 37 Kampala Rubaga hospital PNFP 300 38 Kampala Mengo Hospital PNFP 100 39 Kampala Namungoona PNFP 70 40 Kampala Makerere University Hospital GOVT 330 41 Kampala Old Kampala PNFP 90 42 Kamuli Kasoigo mission hospital PNFP 141 43 Kamuli Kamuli district hosp GOVT 123 44 Kanungu Kambuga GOVT 135 45 Kapchorwa Kapchorwa GOVT 69 46 Kasese Kagando PNFP 100 47 Kasese Bwera GOVT 95 48 Kasese Kilembe Mines Hospital PNFP 100 49 Kayunga Kayunga GOVT 100 50 Kibaale Kagadi GOVT 120 51 Kiboga Kiboga GOVT 122 52 Kiruhura Rushere PNFP 50 53 Kisoro Mutolere PNFP 210 54 Kisoro Kisoro GOVT 100 55 Kitgum Kitgum GOVT 185 56 Kitgum St.Jospeh Kitgum PNFP 270 57 Kaabong Kaabong GOVT 100 58 Kumi Atutur GOVT 102 59 Kumi Kumi PNFP 110

10 Owner No. Of No District Name Of Hospital Ship Beds 60 Kumi Ngora PNFP 110 61 Luweero Bombo Military hospital GOVT 250 62 Lyantonde Lyantonde GOVT 100 63 Masaka Villa maria PNFP 120 64 Masaka Kitovu PNFP 220 65 Masindi Masindi GOVT 100 66 Masindi Kiryandongo GOVT 104 67 Mayuge Buluba PNFP 164 68 Mbale Cure hosp PNFP 43 69 Mbarara Mbarara Community hosp PHP 70 Mbarara Mbarara Military Hospital GOVT 71 Mbarara Mayanja Memorial hosp PHP 100 72 Mbarara Ruharo PNFP 80 73 Mityana Mityana GOVT 100 74 Moyo Moyo GOVT 250 75 Moroto St. Kizito Matany PNFP 76 Mpigi Gombe GOVT 100 77 Mpigi Nkozi PNFP 300 78 Mubende Mubende GOVT 100 79 Mukono Nyenga PNFP 100 80 Mukono Buikwe PNFP 50 81 Mukono Nkokonjeru PNFP 152 82 Mukono Lugazi Scoul PNFP 60 83 Mukono Kawolo GOVT 100 84 Mukono Naggalama PNFP 220 85 Nebbi Nyapea PNFP 121 86 Nebbi Nebbi GOVT 74 87 Nebbi Angal PNFP 234 88 Ntugamo Itojo GOVT 100 89 Nyadri Maracha PNFP 92 90 Nyadri Oriajini PNFP 107 91 Oyam Aber PNFP 112 92 Pader Kalongo PNFP 106 93 Pader Acholi Pii Military Hospital GOVT 94 Pallisa Kaginima PNFP 46 95 Pallisa Pallisa GOVT 100 96 Rakai Rakai GOVT 234 97 Rakai Kalisizo GOVT 70 98 Rukungiri Kisiizi PNFP 120 99 Rukungiri Nyakibale PNFP 225 100 Tororo St. Anthony's PNFP 110 101 Tororo Benedictine PNFP

11 Owner No. Of No District Name Of Hospital Ship Beds 102 Tororo Tororo General hospital GOVT 285 103 Tororo Divine Mercy PHP 104 Tororo Rubongi Military GOVT 105 Wakiso Kisubi PNFP 361 106 Wakiso Entebbe GOVT 146 107 Wakiso Saidina Abubakar PNFP 108 Wakiso Mildmay PNFP 109 Wakiso Kakiri Military Hosppital GOVT 110 Yumbe Yumbe GOVT 60 Source: Ministry of Health –HMIS Section (Hospital annual reports 2008/09) GOVT-Government, PNFP-Private Not For Profit, PHP-Private Health Provider

2.1.2 HEALTH CENTRE IVs

Table 5: Health Centre IVs by district No District Health Sub-District Health Unit Ownership 1 Amolatar Kioga Amolatar GOVT 2 Amuru Kilak Atiak GOVT 3 Apac Kole Aboke GOVT 4 Apac Kwania Aduku GOVT 5 Dokolo Dokolo Dokolo GOVT 6 Gulu Aswa Awach GOVT 7 Gulu Omoro Lalogi GOVT 8 Kitgum Chua Naam Okora GOVT 9 Kitgum Lamwo Madi-Opei GOVT 10 Kitgum Lamwo Padibe GOVT 11 Lira Erute North Ogur GOVT 12 Lira Erute South Amach GOVT 13 Lira Lira Minicipal Pag Mission PNFP 14 Lira Moroto Alebtong GOVT 15 Lira Moroto Adwir PNFP 16 Lira Otuke Orum GOVT 17 Oyam Oyam North Anyeke GOVT 18 Pader Aruu Pajule GOVT 19 Masaka Bukomansimbi Butenga GOVT 20 Masaka Bukoto (Central) Kyannamukaaka GOVT 21 Masaka Bukoto (East) Kiyumba GOVT 22 Masaka Bukoto (Mid West) Lwengo GOVT 23 Masaka Bukoto (South) Kiwangala GOVT 24 Masaka Bukoto (West) Kyazanga GOVT 25 Masaka Kalungu (East) Bukulula GOVT 26 Masaka Kalungu (West) Kyamulibwa PNFP 27 Mpigi Gomba Maddu GOVT 28 Mpigi Mawokota North Mpigi GOVT

12 No District Health Sub-District Health Unit Ownership 29 Rakai Kakuuto Kakuuto GOVT 30 Sembabule Lwemiyaga Ntuusi GOVT 31 Sembabule Mawogola Sembabule GOVT 32 Bukwo Kongasis Bukwo PNFP 33 Kapchorwa Kween Kaproron GOVT 34 Manafwa Bubulo East Magale PNFP 35 Manafwa Bubulo West Bugobero GOVT 36 Mbale Bungokho North Bufumbo GOVT 37 Mbale Bungokho South Busiu GOVT 38 Sironko Budadri East Budadiri GOVT 39 Sironko Budadri West Buwasa GOVT 40 Sironko Bulambuli Muyembe GOVT 41 Budaka Budaka Budaka GOVT 42 Busia Samia Bugwe North Busia GOVT 43 Busia Samia Bugwe North Dabani PNFP 44 Pallisa Butebo Butebo GOVT 45 Pallisa Kibuku Kibuku GOVT 46 Tororo Tororo Mukuju GOVT 47 Tororo Budama North Nagongera GOVT 48 Tororo Budama South Mulanda GOVT 49 Buliisa Buliisa Buliisa GOVT 50 Hoima Buhaguzi Kikuube GOVT 51 Kibaale Bugangaizi Kakindo GOVT 52 Kibaale Buyanja Kakumiro GOVT 53 Kibaale Buyaga St Ambrose Charity PNFP 54 Kibaale Buyanja Kibaale GOVT 55 Kiboga Bukomero Bukomero GOVT 56 Kiboga Ntwetwe Ntwetwe GOVT 57 Masindi Bujenje Bwijanga GOVT 58 Mityana Busujju/Mwera Mwera GOVT 59 Mityana Mityana North Kyantungo GOVT 60 Mityana Mityana South St. Francis, Hosfa PNFP 61 Mubende Kassanda North Kassanda GOVT 62 Mubende Kassanda South Kiganda GOVT 63 Bugiri Bukooli Central Nankoma GOVT 64 Bugiri Bukooli South Buyinja GOVT 65 Iganga Bugweri Busesa GOVT 66 Iganga Kigulu North Bugono GOVT 67 Iganga Luuka Kiyunga GOVT 68 Jinja Butembe Bugembe GOVT 69 Jinja Jinja Municipal East Walukuba GOVT 70 Jinja Jinja Municipal West Mpumudde GOVT 71 Jinja Kagoma All Saints Kagoma PNFP 72 Jinja Kagoma Buwenge Buwenge GOVT Town Council 73 Jinja Kiira Budondo GOVT

13 No District Health Sub-District Health Unit Ownership 74 Kaliro Bulamogi Bumanya GOVT 75 Kamuli Budiope Kidera GOVT 76 Kamuli Bugabula South Namwendwa GOVT 77 Kamuli Buzaaya Nankandulo GOVT 78 Mayuge Bunya East Kigandalo GOVT 79 Mayuge Bunya South Kityerera GOVT 80 Namutumba Busiki Nsinze GOVT 81 Kayunga Bbaale Bbaale GOVT 82 Kayunga Ntenjeru South Kangulumira GOVT 83 Mukono Buvuma Buvuma GOVT 84 Mukono Mukono North Mukono PNFP 85 Mukono Mukono North Mukono T.C. GOVT 86 Mukono Mukono South Ntenjeru Kojja GOVT 87 Wakiso Busiro East Wakiso GOVT 88 Wakiso Busiro North Namayumba GOVT 89 Wakiso Kyadondo East Kasangati GOVT 90 Wakiso Kyadondo South Ndejje GOVT 91 Wakiso Kyandondo North Buwambo GOVT 92 Kampala Central Aids Information Cen GOVT 93 Kampala Central Old Kampala PNFP 94 Kampala Nakawa Naguru GOVT 95 Amuria Amuria Amuria GOVT 96 Amuria Kapelebyong Kapelebyong GOVT 97 Bukedea Bukedea Bukedea GOVT 98 Kaberamaido Kaberamaido Kaberamaido GOVT 99 Katakwi Usuk Katakwi GOVT 100 Soroti Kasilo Apapai GOVT 101 Soroti Serere Serere GOVT 102 Soroti Soroti Tiriri GOVT 103 Soroti Soroti Municip. Princes Diana GOVT 104 Bundibugyo Bughendera Kikyo GOVT 105 Bundibugyo Bwamba Nyahuka GOVT 106 Bundibugyo Ntoroko Karugutu GOVT 107 Kabarole Kibiito Kibiito GOVT 108 Kabarole Bukuuku Bukuku GOVT 109 Kamwenge Rukunyu Rukunyu GOVT 110 Kamwenge Ntara Ntara GOVT 111 Kasese Busongora North Hiima Uci PHP 112 Kasese Busongora North Rwesande GOVT 113 Kasese Busongora South St. Paul PNFP 114 Kyenjojo Kyaka Kyegegwa GOVT 115 Kyenjojo Mwenge North Kyarusozi GOVT 116 Kyenjojo Mwenge South Kyenjojo GOVT 117 Adjumani East Moyo Mungula GOVT 118 Arua Arua Municip Oli GOVT 119 Arua Ayivu Adumi GOVT

14 No District Health Sub-District Health Unit Ownership 120 Arua Lower/Madi Rhino Camp GOVT 121 Koboko Koboko Koboko GOVT 122 Moyo Obongi Obongi GOVT 123 Nebbi Jonam Pakwach GOVT 124 Nyadri Terego Omugo GOVT 125 Yumbe Aringa Midigo GOVT 126 Bushenyi Buhweju Nsiika GOVT 127 Bushenyi Bunyaruguru Rugazi GOVT 128 Bushenyi Igara East Kyabugimbi GOVT 129 Bushenyi Ruhinda Mitooma GOVT 130 Bushenyi Sheema North Kabwohe GOVT 131 Bushenyi Sheema South Shuuku GOVT 132 Ibanda Ibanda North Ishongororo GOVT 133 Ibanda Ibanda South Ruhoko GOVT 134 Isingiro Bukanga Rwekubo GOVT 135 Isingiro Isingiro North Nyamuyanja GOVT 136 Isingiro Isingiro South Kabuyanda GOVT 137 Kabale Kabale M/C Kamukira GOVT 138 Kabale Ndorwa East Maziba GOVT 139 Kabale Ndorwa West Rubaya GOVT 140 Kabale Rubanda East Hamurwa GOVT 141 Kabale Rubanda East Muko GOVT 142 Kabale Rukiga South Kamwezi GOVT 143 Kabale Rukiga South Mparo GOVT 144 Kanungu Kinkizi East Kanungu GOVT 145 Kanungu Kinkizi West Kihiihi GOVT 146 Kiruhura Kazo Kazo GOVT 147 Kisoro Bufumbira East Chahafi GOVT 148 Kisoro Bufumbira North Busanza GOVT 149 Kisoro Bufumbira North Rubuguri GOVT 150 Mbarara Kashari Bwizibwera GOVT 151 Mbarara Mbarara M/C Mbarara M/C GOVT 152 Mbarara Rwampara Bugamba GOVT 153 Mbarara Rwampara Kinoni GOVT 154 Ntugamo Kajara Rwashamire GOVT 155 Ntugamo Ruhaama Kitwe H/C GOVT 156 Ntugamo Rushenyi Rubaare GOVT 157 Rukungiri Rubabo Kebisoni GOVT 158 Rukungiri Rujumbura Bugangari GOVT 159 Rukungiri Rujumbura Buhunga GOVT 160 Kalangala Bujumba Kalangala GOVT 161 Kalangala Kyamuswa Bukasa GOVT

2.2 HUMAN RESOURCES FOR HEALTH

Human Resources for Health are essential for the effective operation of the health systems and an important input in the attainment of HSSP II objectives. The Human Resources for Health are noted to be having a steady increase in FY 2008/09 due to the recruitment drive that was instituted in 2008. However the level of staffing is still low and the regional distribution remains inequitable. This is specifically seen in areas that are poorly resourced in terms of social infrastructure and amenities are remote.

Other limitations that have greatly curtailed HRH are;  Limited funding for recruitment; couple with lengthy recruitment processes and inadequate competencies in handling the recruitment process at the district level.  Low training outputs and high attrition: outputs from the training institutions do not match service requirements  Poor retention which is accelerated by poor motivational factors, work environment and remuneration.

Table 6: District staffing – 2009 (Comparison between actual and norm) No. District Norms Actual % 1 Abim 366 263 72% 2 Adjumani 425 221 52% 3 Amolatar 161 114 71% 4 Amuria 389 264 68% 5 Amuru 466 203 44% 6 Apac 515 344 67% 7 Arua 434 245 56% 8 Budaka 243 93 38% 9 Bududa 366 153 42% 10 Bugiri 885 274 31% 11 Bukedea 168 72 43% 12 Bukwo 145 92 63% 13 Buliisa 128 67 52% 14 Bundibugyo 603 311 52% 15 Bushenyi 1399 473 34% 16 Busia 357 162 45% 17 Butaleja 461 191 41%

16 No. District Norms Actual % 18 Dokolo 123 91 74% 19 Gulu 245 106 43% 20 Hoima 616 180 29% 21 Ibanda 446 146 33% 22 Iganga 961 563 59% 23 Isingiro 672 143 21% 24 Jinja 756 495 65% 25 Kaabong 376 150 40% 26 Kabale 904 304 34% 27 Kabarole 589 221 38% 28 Kaberamaido 251 157 63% 29 Kalangala 239 87 36% 30 Kaliro 176 133 76% 31 Kampala 266 267 100% 32 Kamuli 818 323 39% 33 Kamwenge 362 173 48% 34 Kanungu 575 262 46% 35 Kapchorwa 534 388 73% 36 Kasese 947 349 37% 37 Katakwi 267 191 72% 38 Kayunga 512 320 63% 39 Kibaale 720 317 44% 40 Kiboga 673 262 39% 41 Kiruhura 448 102 23% 42 Kisoro 700 389 56% 43 Kitgum 495 208 42% 44 Koboko 170 94 55% 45 Kotido 196 110 56% 46 Kumi 549 215 39% 47 Kyenjojo 553 230 42% 48 Lira 394 347 88% 49 Luwero 609 398 65% 50 Lyantonde 313 120 38% 51 Manafwa 323 132 41% 52 Masaka 914 353 39% 53 Masindi 769 588 76% 54 Mayuge 418 213 51%

17 No. District Norms Actual % 55 Mbale 406 274 67% 56 Mbarara 664 223 34% 57 Mityana 618 245 40% 58 Moroto 416 261 63% 59 Moyo 581 367 63% 60 Mpigi 832 328 39% 61 Mubende 743 290 39% 62 Mukono 1043 564 54% 63 Nakapiripirit 218 136 62% 64 Nakaseke 464 286 62% 65 Nakasongola 382 131 34% 66 Namutumba 314 98 31% 67 Nebbi 798 301 38% 68 Ntungamo 732 475 65% 69 Nyadri 387 131 34% 70 Oyam 139 122 88% 71 Pader 427 166 39% 72 Pallisa 781 341 44% 73 Rakai 1159 586 51% 74 Rukungiri 556 359 65% 75 Sembabule 309 100 32% 76 Sironko 682 199 29% 77 Soroti 593 270 46% 78 Tororo 917 368 40% 79 Wakiso 1126 498 44% 80 Yumbe 431 290 67% National 42108 20078 48% Source: Ministry of Health, Human Resources for Health Audit Report, May 2009. *The above table doesn’t include staffing in National and Regional referral hospitals.

Table 7: Staffing levels of selected* staff in Regional Referral and large PNFP hospitals

No Hospital name Medical Officers Dental Surgeon Other Dental Staff Clinical Officers Lab. Staff Midwives Nurses Dispenser Pharmacist Records’ Assist. 1 Arua 20 1 3 5 9 20 42 6 1 2 2 Gulu 21 1 5 13 4 60 42 2 1 2 3 Hoima 5 2 2 16 8 14 37 2 2 2 Fort 4 portal 11 1 1 14 3 24 106 1 0 1 5 Nsambya 22 0 0 4 21 68 122 0 1 7 6 Rubaga 9 0 0 10 18 47 76 7 2 2 7 Lira 23 1 6 13 8 20 62 5 1 2 8 Masaka 24 1 8 22 8 38 74 2 1 2 9 Mbale 30 2 5 11 7 0 137 0 1 2 10 Mbarara 10 1 1 14 10 24 52 3 1 2 11 Soroti 10 1 3 24 7 29 78 5 1 0 12 Kabale 6 1 2 11 10 21 48 1 1 1 13 Lacor 22 2 1 11 19 18 107 0 1 3 14 Mengo 16 5 9 13 29 61 120 4 1 2 15 Jinja 33 1 7 36 11 53 143 4 1 5 Total 262 20 53 217 172 497 1246 42 16 35 Average 2007/08 17 1 4 14 11 33 83 3 1 2 Source: Ministry of Health-Resource Centre (Annual Reports 2008/09) *Data was only available on the above staff categories.

Critical cadres e.g. medical officers, clinical officers are still thin on ground for example Hoima and Kabale Regional Referral hospitals with 5 and 6 doctors respectively. There is a marked improvement though, in some cadres like the nurses. In order to improve HRH capacity, efforts should be put in place to ensure optimal recruitment of health workers to fill critical vacancies in the sector.

Table 8: Staffing levels in General hospitals

No District Hospital name Medical Officers Dental Surgeon Other Staff Dental Clinical Officers Lab. Staff Midwives Nurses Dispenser Pharmacist Records’ Assist. 1 Amuru Anaka 1 1 1 9 3 7 11 1 0 2 2 Apac Apac 14 2 2 7 3 31 20 0 0 2 3 Bududa Bududa 1 1 2 3 3 17 27 1 0 2 4 Bugiri Bugiri 4 1 1 6 4 21 41 1 0 2 Ishaka 5 Bushenyi Adventist 3 0 0 7 8 9 20 1 0 2 6 Bushenyi Comboni 3 0 1 3 5 8 25 0 0 1 7 Bushenyi Kitagata 2 1 1 7 3 7 8 0 0 0 8 Busia Masafu 1 1 0 5 1 0 2 0 0 0 9 Butaleja Busolwe 5 1 4 9 4 28 66 1 1 2 10 Ibanda Ibanda 3 0 0 2 2 17 34 0 0 1 11 Iganga Iganga 5 1 2 13 6 35 41 2 0 3 12 Kaabong Kaabong 1 0 0 8 0 3 16 0 0 6 13 Kampala Rubaga 9 0 0 10 18 47 76 7 2 2 14 Kamuli Kamuli 1 1 2 12 3 36 34 2 1 3 15 Kasese Bwerra 3 1 1 1 96 10 32 1 1 2 16 Kayunga Kayunga 3 1 2 9 4 25 44 2 0 2 17 Kibaale Kagadi 0 0 0 0 0 0 0 0 0 0 18 Kibaale Kibale 1 0 0 1 0 0 1 0 0 0 19 Kiboga Kiboga 8 1 4 19 8 38 57 1 0 3 20 Kiruhura Rushere 0 0 2 0 4 4 11 0 0 1 21 Kisoro Mutolere 0 0 0 2 3 0 9 0 1 1 22 Kisoro Kisoro 5 1 1 10 2 13 42 1 0 2 23 Kumi Atutur 0 1 1 20 3 23 17 3 0 1 24 Lyantonde Lyantonde 4 0 2 7 3 18 33 1 0 1 25 Masaka Kitovu 9 0 0 3 18 15 40 1 0 4 Villa 26 Masaka Maria 5 0 0 1 7 5 33 0 0 1 27 Masindi Masindi 1 1 1 8 3 19 29 1 0 2 Kiryandon 28 Masindi go 1 1 1 9 3 17 22 1 0 3 29 Mayuge Buluba 4 0 0 3 4 11 16 1 0 2 30 Moroto St. Kizito- 7 0 0 4 4 6 23 1 0 2

No District Hospital name Medical Officers Dental Surgeon Other Staff Dental Clinical Officers Lab. Staff Midwives Nurses Dispenser Pharmacist Records’ Assist. Matany 31 Moroto Moroto 2 1 1 11 7 7 30 1 0 1 32 Mubende Mubende 4 0 1 7 4 18 39 22 1 1 33 Nyadri Maracha 4 0 1 4 0 6 25 1 0 2 34 Pader Kalongo 9 0 0 3 3 43 16 1 2 1 35 Pallisa Pallisa 4 1 1 11 6 18 28 2 0 2 36 Pallisa Kanginima 1 0 0 3 2 2 4 1 0 1 37 Pallisa Pallisa 4 1 1 11 6 18 28 2 0 2 38 Rakai Kakuuto 3 0 1 3 2 3 9 0 0 1 39 Rakai Rakai 2 0 0 7 7 7 18 0 0 1 40 Rakai Kalisizo 2 0 2 4 4 21 28 0 0 1 41 Rukungiri Nyakibale 5 0 2 5 4 13 42 1 0 1 42 Rukungiri Kisiizi 5 0 1 7 5 8 86 1 1 2 43 Tororo Tororo 3 1 2 9 2 28 47 1 1 3 Kisubi 44 Wakiso general 4 1 1 3 4 15 37 1 0 2 45 Wakiso Entebbe 7 1 2 9 6 30 49 2 1 2 46 Yumbe Yumbe 3 0 1 12 4 18 47 1 0 1 Total 166 23 48 307 291 725 1363 67 12 79 Average 2007/08 4 1 1 7 6 16 30 1 0 2 Source: Ministry of Health-Resource Centre (Hospital Annual Reports 2007/08) Data was only available on the above mentioned hospitals

2.3. FINANCING IN THE HEALTH SECTOR

Financing is one of the six interdependent health system building blocks, the others being the workforce, services, technology, information and governance. The per capita health expenditure in Uganda is estimated at USD 33, of which the public sector contributes 14.4%, development partners 35.6% and household 50% (MOH, NHA 06 - 07). More than 9% of the house hold expenditure is spent on out of pocket health expenses. The per capita requirement for the provision of UNMHCP in all facilities is estimated at USD 41.2 in 2008/09 and is expected to rise to USD 47.9 in the financial year 2011/12 (HSLP Africa limited, 2008). This trend has important implications for service delivery as it will imply the need for further priority setting based on the UNMHCP.

The total sector budget increased significantly over the last three years of HSSP II. In FY 2007/08, the sector budget increased by 12.1% and by 46.7% in FY 2008/09. The rise can be attributed to increased allocation to health and donor support to the sector. The sector is financed through government revenue, PHP sources and development assistance under the SWAP arrangement. Table 9 below, shows the

21 health sector financial performance in 2008/09.

Table 9: Health Sector Financial Performance in FY 2008/09 SOURCE OF FUNDING FOR THE FY 2008/09 AMOUNT (Ugshs. Billions) GoU funding 375.38 Donor project funding 253.08 Total Funding 628.46 % contribution of donor projects to the total sector 40% budget in the MTEF Per capita expenditure (Ugshs) 20,810 Per capita expenditure (US$) 10.4 GoU expenditure on health as % of total GoU 8.3% expenditure GoU budget performance 98% Source: MoFPED approved estimates and Budget Performance reports

22 3.0 PERFORMANCE OF HEALTH FACILITIES IN FY 2008/09

3.1 HOSPITALS PERFORMANCE IN FY 2008/09

Table 10: Outputs from Regional and Large PNFP hospitals FY 2008/09

C/S

SU0

Beds

Total

IPT 2 IPT

Blood

Total OPD

Total ANC

Admissions

Total Deaths

Transfusions

Hospital Name

Immunisations

Total Deliveries

Major Operations

Nsambya 303 18035 3564 570 150128 8569 1784 7182 47335 1034 3208 470,315

Soroti 294 18328 1762 608 37286 4255 754 4381 31359 2922 3655 342,510

Lira 300 11383 747 505 72016 6383 320 3353 27628 1078 1527 268,243

Lacor 476 34750 3457 1406 177256 13610 772 3433 23202 2754 5501 727,116

Gulu 359 12247 383 325 47459 6974 137 3803 23463 855 645 258,359

Mengo 271 13630 2205 247 53279 18146 1571 4549 31675 2989 2621 295,882

Jinja 431 22208 1453 1045 79669 12206 953 4310 17158 2376 2879 443,874

Kabale 280 10319 820 401 42294 4114 642 3208 10810 3035 588 217,338

Hoima 104 13263 2103 290 73912 24400 894 2650 18407 2072 3260 301,988

Masaka 330 17104 1550 884 154481 12133 1181 4746 16739 690 2011 444,185

C/S

SU0

Beds

Total

IPT 2 IPT

Blood

Total OPD

Total ANC

Admissions

Total Deaths

Transfusions

Hospital Name

Immunisations

Total Deliveries

Major Operations

Fort Portal 289 10844 1530 361 6413 2541 838 1010 24796 1451 180,353

Rubaga 265 15329 2281 372 168880 25396 1522 6658 42857 4048 453,374

Mbale 448 49507 2697 987 91696 7641 1392 6662 16049 886 6203 874,641

Total 4,150 246,947 24,552 8,001 1,154,769 146,368 12,760 55,945 331,478 24,739 33,549 5,278,179 Average 2008/09 346 20,579 2,046 667 96,231 12,197 1,063 4,662 27,623 2,062 2,796 439,848

Average2007/08 336 18,559 3,015 716 136,446 14,329 911 4,777 - - - 453,348 Average 2006/07 334 16,934 697 478 121,038 12,772 4,496 - - - 411,804 Source: Ministry of Health – Resource Centre

24 Table 11: Outputs from General Hospitals FY 2008/09

Id.

SUO

BOR Staff

Beds

ALOS

Sections

SUO/Staff

Deliveries

Total OPD

Total Deaths

Hospital Name

Immunisations

ANC newANC clients

Major Operations Total Lab. Exams

Total Admissions

Blood Transfusions 1 Aber 194 6284 6 58% 295 519 25716 20903 4093 1579 255 29735 867 152 134098 882 2 Abim 120 6058 7 103% 120 104 36403 8974 1511 575 65 5684 519 109 132698 1217 3 Amudat 120 2500 4 21% 48 0 10661 6862 1173 97 0 6605 55 50605 920 4 Anaka 100 4497 5 62% 79 0 26772 9128 1419 506 0 3803 104 99292 955 5 Bududa 100 8812 3 79% 103 187 38324 11581 2175 981 109 5684 496 161 178813 1111 6 Bugiri 104 10819 4 120% 290 1043 49861 29462 3438 1910 354 34454 940 109 229307 2104 7 Buikwe 50 4236 4 84% 97 173 20553 8975 1072 475 70 30381 480 88799 8 Buluba 120 7169 5 89% 222 415 42279 7812 1593 731 292 26409 1412 126 155828 1237 9 Busolwe 120 12479 3 76% 180 272 66779 10455 2644 1456 183 15737 822 243 264657 1089 10 Buwenge 41 1647 3 30% 5 124 6889 20117 2396 434 22 4502 0 28 38985 1392 11 Comboni 100 5976 4 61% 91 630 27933 7593 1327 942 410 22412 96 124465 1297 12 Entebbe 195 6482 6 59% 207 553 52222 22161 6387 1960 270 21016 395 151 166878 1105 13 Gombe 100 9239 5 127% 316 861 36757 8356 2501 1717 498 20820 597 100 186849 1868 Gulu 14 Independent 79 2793 3 32% 29 227 6081 9917 251 133 54 16366 290 82 50750 619 15 Gulu Military 78 995 20 70% 49 0 6771 1928 204 62 0 3543 80 88 22494 256 16 Ibanda 178 12574 3 55% 259 1292 14380 12297 3104 2437 861 11821 865 96 219186 2283 17 Iganga 104 20459 3 146% 561 2306 64255 23716 5468 4492 1086 34712 1920 165 401077 2431 18 Ishaka advent 107 9980 2 60% 256 1095 21150 18933 3357 2390 879 54358 901 124 188265 1518 19 Kaabong 100 2815 5 39% 104 138 25052 13896 2655 422 53 1955 145 76 73494 967 20 Kagadi 104 13465 3 124% 120 676 36468 15451 4744 2398 418 2422 830 98 255895 2611 21 Kalisizo 80 4952 4 68% 69 405 33668 8251 1886 1403 318 26152 310 68 117556 1729 22 Kalongo 345 15154 7 90% 267 745 22600 11248 4232 2689 366 30396 761.3 302 267721 886

Id.

SUO

BOR Staff

Beds

ALOS

Sections

SUO/Staff

Deliveries

Total OPD

Total Deaths

Hospital Name

Immunisations

ANC newANC clients

Major Operations Total Lab. Exams

Total Admissions

Blood Transfusions 23 Kambuga 200 4888 3 4% 79 221 24770 9254 1520 1322 162 7385 120 93 107311 1154 24 Kamuli 100 6941 3 57% 100 367 50940 20069 2938 1454 95 16953 348 138 167808 1216 Kamuli 25 mission 160 11383 4 72% 491 939 49007 14636 3973 2019 443 64844 819 63 234761 3726 26 Kanginima 46 2980 3 49% 12 189 7150 6242 615 223 0 2372 168 41 54521 1330 27 Kapchwora 101 6126 5 77% 122 490 55342 6932 2918 1001 222 11257 224 136 155082 1140 28 Kawolo 109 9473 5 131% 276 856 91787 20737 4161 2635 510 38942 981 134 253285 1890 29 Kayunga 104 9835 3 78% 290 741 37889 11790 2736 1842 287 12991 847 145 198350 1368 30 Kiboga 100 9660 4 11% 172 533 37537 10511 3363 2236 325 41196 915 257 197401 768 31 Kibuli Hospital 115 5595 3 39% 78 1167 35449 11380 1891 276 122596 Kilembe 32 mines 222 14906 4 76% 321 1622 15651 10540 1752 2451 845 72683 1142 83 254480 3066 33 Kisiizi 248 7,689 6 51% 177 788 3755 1974 227 288 127083 441 34 Kisoro 128 8443 6 106% 132 564 48910 15313 4577 2290 273 10801 95 132 192356 1457 35 Kisubi 91 5198 3 49% 112 639 39066 17284 1485 1459 482 18996 770 122 128530 1054 36 Kitagata 152 5679 3 36% 130 333 36011 6494 1675 1450 335 10678 186 34 130582 3841 37 Kitgum Gov 177 16258 5 130% 283 170 63323 11329 1973 2121 87 13446 0 96 321050 3344 38 Kitovu 200 11032 5 75% 469 1569 21036 9151 990 1862 698 63693 4960 218 198151 909 KIU Teaching 39 Hospital 136 2214 3 16% 85 230 5675 1160 198 204 75 14488 294 160 40236 251 40 Kiwoko 253 6430 5 34% 375 706 35075 7998 1996 1551 398 42316 1662 273 141878 520 41 Kotido 28 5149 3 164% 9 68 462 517 34 80051 2354 42 Kuluva 208 9687 6 74% 450 801 29765 22175 1483 905 157 30284 1328 200 184772 924 43 Lwala 100 3291 7 66% 113 164 4617 4833 867 402 105 4850 241 86 57392 667

Id.

SUO

BOR Staff

Beds

ALOS

Sections

SUO/Staff

Deliveries

Total OPD

Total Deaths

Hospital Name

Immunisations

ANC newANC clients

Major Operations Total Lab. Exams

Total Admissions

Blood Transfusions 44 Lyantonde 100 7142 4 89% 111 478 61965 7369 2887 1328 251 29830 698 95 178652 1881 45 Maracha 200 6814 9 84% 428 442 17916 11288 1559 968 353 9599 760 165 128003 776 46 Masafu 52 5901 4 129% 124 57 46810 9705 2218 907 37 17596 107 57 142910 2507 47 Mengo 271 13630 3 48% 247 2205 39996 31675 6271 4549 1571 64278 2621 455 276662 608 48 Mityana 116 11621 4 107% 339 967 88284 15720 4659 3834 627 25447 606 118 287243 2434 49 Moyo 100 5025 5 65% 139 520 47820 5926 837 1078 262 5515 286 130189 0 50 Mubende 100 7958 5 120% 435 1080 44723 17223 4651 1993 552 4745 863 127 179828 1416 Muchasion 51 bay 157 3046 15 81% 45052 7637 1366 552 28 60 95712 0 52 Nakaseke 100 6571 6 112% 229 984 57304 9721 1911 1818 548 12957 712 164 167859 0 53 Nkokonjeru 60 3058 4 63% 149 368 17320 7213 983 735 170 19920 406 56 68799 1229 54 Nkozi 100 5962 4 61% 141 378 19942 9128 1817 1513 273 9318 570 76 119671 1575 55 Nyenga 100 4496 4 47% 154 271 17794 8088 1155 657 155 15555 1084 65 90714 1396 56 Old Kampala 204 3220 3 11% 0 0 6403 8308 64 0 2537 0 34 56397 1659 57 Oriajini 50 1614 5 49% 31 4 27842 4615 354 179 0 0 47 54047 1150 58 Pallisa 100 8959 3 71% 81 648 20870 13954 2766 1997 262 34552 413 120 169414 1412 59 Rakai 107 4587 4 49% 156 642 30996 8924 1088 957 275 4758 441 99 106915 1080 St Francis 60 Nagalama 100 11168 4 121% 425 781 33861 12454 2983 2480 535 51976 1556 117 217763 1861 St Joseph's 61 Kitgum 28364 20444 1523 1314 48409 216 39784 184 St.Kizito 62 Matany 220 11321 10 143% 374 614 36265 10523 1410 888 205 30372 1075 189 213330 1129 63 St.Luke Nebbi 260 10818 7 77% 737 639 20508 15176 2987 1875 332 13426 639 157 196682 1253

Id.

SUO

BOR Staff

Beds

ALOS

Sections

SUO/Staff

Deliveries

Total OPD

Total Deaths

Hospital Name

Immunisations

ANC newANC clients

Major Operations Total Lab. Exams

Total Admissions

Blood Transfusions 64 St.Stephen 20 849 1 17% 11 7025 17369 167 118 2 4093 1 22 23907 1087 65 Tororo 214 13073 5 93% 379 367 41617 18147 4894 2552 179 20943 1036 150 256548 1710 66 Villa Maria 126 7352 5 79% 205 784 23108 79809 854 1477 434 18763 1071 75 157162 2095 67 Virika 155 11376 3 68% 473 1248 24402 9042 1625 2111 658 39799 2282 172 208218 1211 68 Yumbe 113 6089 6 92% 203 424 25701 12096 1796 1119 290 7324 390 162 125948 777

Total 8,742 503,892 5 1 13,603 38,834 2,192,462 877,398 155,783 96,706 20,309 1,378,854 45,602 8,264 10,487,743 90,327

Average 132 7,635 5 1 216 637 33,730 13,498 2,325 1,465 356 21,887 800 131 156,533 1,434 Count 66 66 66 66 63 61 65 65 67 66 57 63 57 63 67 63 Source: Ministry of Health – Resource Centre

28 3.2 HEALTH CENTER IV FUNCTIONALITY FY 2008/09

The HC IV is an innovation of the 1999 National Health Policy. The key feature of the HC IV strategy is to provide basic promotive, preventive and curative services including emergency surgical and obstetric services, in order to address the poor health indicators such as infant mortality rate and maternal mortality ratio. Being a key strategy for the sector the functionality of HC IVs is a key objective in providing special components of the UNMHCP.

This section presents the functionality of HC IVs in the FY 2008/09. Data was received from 134 HC IVs out of 160(84%) functional HC IVs and this was the basis of the analysis for this section.

3.2.1 PROVISION OF SELECTED KEY HEALTH SERVICES BY HC IVs IN FY 2008/09

HC IVs are expected to provide services as spelt out in the Health Sector Policy of 1999. Analysis of provision of selected key components of the minimum service standards is shown in the graph below.

Figure 2: Selected key health services by HC IVs in FY 2008/09

Source: Ministry of Health/Resource Centre

All HC IVs were noted to be offering OPD and laboratory services. Services that were below average (50%) included; LTFP, major surgeries, caesarian sections and blood transfusion (for individual HC IVs details on services provided, refer to appendix I).

29 The total number of patients who accessed these services in FY 2008/09 are as shown in table 10 (for details on individual HC IVs services outputs, refer to appendix II).

Table 12: Selected service outputs for HC IVs in FY 2008/09

OPD Attendances OPD Dental attendances ART on Patients HCT Clients Inpatients Total Unit in Deliveries Clients PMTCT Caesarians Sections Operations Major Operations Minor Blood Transfusions Admissions BOR ALOS

Total 3,526,332 77,179 20,500 318,588 287,453 64,492 123,831 888 1,782 29,154 3,759 259,405 34 3

Average 26,316 887 214 2,746 3,194 566 1,068 44 54 429 150 2,882 34 3 No. of HC IVs reporting 134 87 96 116 90 114 116 20 33 68 25 90 90 90

3.2.2 STATUS OF INFRASTRUCTURE AT HC IV IN 2008/09 FY

For HC IVs to function effectively certain key infrastructure should be in place. This information is submitted annually by the HC IVs, indicating their availability and functionality. The graph below shows the availability and functionality of infrastructure at HC IV level for FY 2008/09.

Figure 3: Availability and functionality of Infrastructure at HC IV level for FY 2008/09

Source: Ministry of Health/Resource Centre-HMIS Section All the HC IVs had OPD and laboratory infrastructure. Out of the 134 health centre IVs, only 14% were noted to be having functional surgical wards and 46% had functional theatres. Additional infrastructure gaps at health centre IV level included; Availability of Kitchens, availability of functional bathrooms and availability of theatre equipment. (See appendix III for details on individual health centre IV infrastructure availability and functionality).

30 4.0 HEALTH OUTPUTS

This section presents a summary of some of the key health outputs including the district League Table and the HSSP II indicators. These indicators are used to measure the national and district performance in management and health service delivery.

4.1 KEY HEALTH INDICATORS FOR FY 2008/09

Table 13: Summary of Key Health indicators for FY 2008/09 No. Indicator Percentage 1. PHP funds disbursed that are expended 95 2. District HMIS Outpatient returns submitted timely 78 3. Children <1 received 3 doses of DPT according to schedule 85 4. Total Government and PNFP OPD utilization per person per year (OPD Per Capita) 0.8* 5. Pit Latrine Coverage 67.5 6. Deliveries in Government and PNFP health facilities 34 7. Proportion of new smear positive TB cases notified compared to expected 57 8. Pregnant women receiving 2nd dose Fansidar for IPT 43 9. Proportion of PHP funds spent on drugs at NMS and JMS 61 10. HIV/AIDS Service Availability 83 11. Population residing within 5kms from a Health Unit 72 *This figure is not in percentage.

4.2 DISTRICT LEAGUE TABLE

The league table (Appendix IV) compares sector performance between districts using management and service delivery output indictors. The management indicators show the use of the PHC-CG, expenditure on key inputs, proportion of the fiscal decentralization strategy allocated to the health sector and the management of health data.

The national league table performance average improved steadily in the last three years from 60.5% (2006/07), 62% (2007/08) to the current 65%. Closer analysis is made of the top and bottom 15 which represents about 37.5% of all districts. Districts that have consistently remained in the top 15 in the last three years are Kampala, Jinja, Tororo, Gulu, and Mitiyana. Districts that have consistently remained in the bottom 15 are: Kibaale, Yumbe, Nakapiripit and Maracha-Terego. Good management does appear to have a role in the district performance. Characteristics that are common to all districts in the worst performing category include: poor social infrastructure (pit latrine coverage) and zero spending or not reporting on PHP funds that are disbursed.

31 4.3 TIMELINESS AND COMPLETENESS OF HMIS REPORTING

Appendix V and VI show the district submission status of the outpatient and inpatient monthly reports at the Resource Centre where T represents a timely report (report received by the 28th of the next month) L for a late report (report received after the 28th of the next month) and the N for no report from a particular district for the month.

In FY 2008/09 the timely reporting for outpatient dropped from 79% to 78%. This might have been contributed to by a number of factors like formation of new districts, recruitment of new staff in the districts, and the changing of information systems (e.g. change to electronic reporting system and the formats) both at the centre and in the districts, plus lack of reporting HMIS tools.

On the other hand, timeliness of inpatient reporting for the same period was 55% while completeness was 67%. It should be noted that timelines and completeness for outpatient are higher than inpatient reporting.

4.4 OUTPATIENT INDICATORS

The summary of outpatient indicators for FY 2008/09 is shown in table 14 below (see appendix VII for the individual district details).

Total Government and PNFP OPD utilization per person per year (OPD Per Capita) is among the HSSPII indicators. It measures utilization of health services in both government and PNFP health facilities and is the national proxy for access to health care services. It is expected that each individual should visit a health unit at least once in a year. During FY 2008/09, this indicator stagnated at 0.8 compared to the previous FY, below the HSSP II target of 1.0. The proportion of health facilities reporting in 2008/09 is lower compared to 2007/08 and this may account for the stagnation in this indicator.

Table 14: Outpatient Indicators Indicator FY 2007/08 FY 2008/09 Health Facilities reporting 92% 84% Total Government and PNFP OPD utilization 0.8 0.8 per person per year (OPD Per Capita) Proportion OPD new attendances 81.4% 82.6% Proportion OPD re-attendances 18.6% 17.4%

32 4.5 IMMUNISATION INDICATORS

Table 15: Immunisation Indicators Indicator FY 2007/08 FY 2008/09 Surviving Infants 1,272,486 1,297,542 Total Pregnant Women 1,479,635 1,508,770 Total Non-pregnant Women 5,371,221 BCG (%) 89 91 Measles ( 82 81 Polio3 (%) 82 84 DPT3 (%) 82 85 TT2+ Pregnant Women (%) 52 53 TT2+ Non-pregnant Women (%) 11 11

The national performance of DPT-HepB+Hib3 which is a proxy measure for overall immunization performance for the FY 2008/09 is 85% which is below the HSSP II target of 95%. (See appendix VIII for immunization indicators by district in FY 2008/09).

Figure 4: DPT-HepB+Hib3 Coverage by district FY 2008/09

33 4.6 OTHER CHILD HEALTH INDICATORS FY 2008/09

Vitamin A supplementation and de-worming are two among various strategies by the Ministry of Health to address micronutrient deficiencies among children and pregnant mothers.

From table 14 below, it can be observed that the proportions of Under 5’s given the 2nd vitamin A supplementation dose and those de-wormed with a 2nd dose, in most districts were below 50%.

Table 16: Child health indicators by district FY 2008/09 No. District Name Population Proportion of children Proportion of Proportion of children of Children under 5 years given children under with weight below the under the 2nd Vit A supplem 5years dewormed bottom line out of the 5years Dose in the year with the 2nd Dose total Children in the year Weighed

1 Abim 10802 16.6% 25.6% 4.4% 2 Adjumani 61735 6.4% 9.1% 26.0% 3 Amolatar 23218 19.7% 3.8% 28.0% 4 Amuria 62802 6.4% 15.6% 14.6% 5 Amuru 42497 2.3% 0.7% 0.0% 6 Apac 104130 16.6% 12.0% 5.5% 7 Arua 100904 1.8% 0.8% 3.3% 8 Budaka 32653 20.9% 30.7% 0.9% 9 Bududa 31836 22.3% 11.2% 14.7% 10 Bugiri 113221 22.0% 14.6% 7.1% 11 Bukedea 32501 16.1% 10.8% 8.2% 12 Bukwa 12848 14.1% 17.0% 0.4% 13 Bulisa 14887 7.0% 6.6% 6.0% 14 Bundibugyo 58905 20.5% 16.4% 8.4% 15 Bushenyi 166825 1.8% 1.3% 2.5% 16 Busia 54182 13.7% 2.9% 5.0% 17 Butaleja 39519 12.4% 23.5% 2.6% 18 Dokolo 32732 11.2% 9.3% 11.5% 19 Gulu 72201 36.7% 53.2% 9.9% 20 Hoima 94336 14.5% 13.9% 48.7% 21 Ibanda 46934 12.2% 12.7% 9.5% 22 Iganga 135897 6.4% 7.5% 3.6% 23 Isingiro 76412 3.5% 3.6% 14.4% 24 Jinja 91873 28.8% 32.7% 30.6% 25 Kaabong 63961 16.2% 8.6% 8.6% 26 Kabale 96399 1.3% 0.9% 1.2% 27 Kabarole 78694 6.2% 12.5% 12.1% 28 Kaberamaido 34799 17.8% 1.7% 17.9% 29 Kalangala 10768 4.8% 12.5% 32.2% 30 Kaliro 38738 13.1% 14.2% 5.6% 31 Kampala 305058 10.8% 8.7% 15.9% 32 Kamuli 137448 4.0% 3.4% 10.9% 33 Kamwenge 61400 88.8% 66.2% 2.6% 34 Kanungu 46934 8.4% 6.0% 21.7% 35 Kapchorwa 37791 5.2% 6.8% 6.0% 36 Kasese 132996 4.0% 7.3% 32.7%

34 No. District Name Population Proportion of children Proportion of Proportion of children of Children under 5 years given children under with weight below the under the 2nd Vit A supplem 5years dewormed bottom line out of the 5years Dose in the year with the 2nd Dose total Children in the year Weighed

37 Katakwi 31049 62.3% 11.6% 15.0% 38 Kayunga 66964 19.1% 15.9% 8.1% 39 Kibaale 115342 1.0% 1.1% 4.6% 40 Kiboga 60724 17.4% 19.7% 39.7% 41 Kiruhura 53621 12.3% 20.2% 5.7% 42 Kisoro 48321 12.2% 5.9% 6.6% 43 Kitgum 73748 15.8% 15.3% 22.7% 44 Koboko 39079 54.5% 504.1% 4.4% 45 Kotido 37991 11.9% 11.6% 21.5% 46 Kumi 71673 32.2% 27.2% 5.4% 47 Kyenjonjo 96402 3.0% 2.4% 7.4% 48 Lira 128512 39.7% 26.2% 12.7% 49 Luweero 80745 8.7% 11.1% 0.0% 50 Lyantonde 14982 103.2% 168.6% 0.6% 51 Manafwa 65750 20.6% 20.9% 39.4% 52 Masaka 163603 8.2% 10.0% 11.1% 53 Masindi 113146 12.1% 12.5% 9.5% 54 Mayuge 82145 5.0% 5.0% 12.6% 55 Mbale 80245 9.3% 10.3% 5.0% 56 Mbarara 82922 0.8% 0.7% 5.2% 57 Mityana 58861 15.7% 15.8% 14.1% 58 Moroto 55750 15.7% 24.8% 22.8% 59 Moyo 65075 8.9% 7.1% 4.7% 60 Mpigi 88923 8.9% 9.6% 4.1% 61 Mubende 108216 14.4% 7.8% 14.3% 62 Mukono 189422 5.4% 6.0% 13.0% 63 Nakapipirit 45775 27.8% 47.7% 8.6% 64 Nakaseke 34237 11.5% 13.6% 1.2% 65 Nakasongola 29104 11.3% 18.4% 4.9% 66 Namutumba 40008 7.5% 4.2% 35.5% 67 Nebbi 103754 11.0% 13.0% 13.1% 68 Ntungamo 88689 5.9% 14.1% 2.8% 69 Nyadri 74576 15.4% 10.9% 16.1% 70 Oyam 67728 40.0% 63.4% 6.5% 71 Pader 90919 14.1% 24.3% 21.0% 72 Pallisa 96993 20.4% 39.3% 23.0% 73 Rakai 90874 22.6% 44.2% 36.4% 74 Rukungiri 60807 0.5% 1.5% 8.9% 75 Sironko 66966 3.9% 4.9% 16.0% 76 Soroti 104478 16.0% 16.8% 6.4% 77 Ssembabule 40969 6.9% 10.8% 2.6% 78 Tororo 89589 13.0% 21.7% 9.6% 79 Wakiso 239704 14.7% 28.0% 22.2% 80 Yumbe 85475 11.9% 9.5% 10.0% UGANDA 6082692 16.1% 23.0% 12.4% Source: Ministry of Health – Resource Centre

35 4.7 HOUSEHOLD PIT LATRINE COVERAGE FY 2008/09

Figure 5: Household pit latrine coverage FY 2008/09

The current national latrine coverage stands at 67.5%, up from 62.4% in FY 2007/08. This increase is mainly attributed to the enforcement of the Public Health Act. District specific latrine coverage ranges from less than 5% in Abim, Kaabong and Nakapiripirit to 92% in Bushenyi. An important lesson from the better performing districts and municipalities in Uganda with respect to sanitation is that the active involvement of leaders at all levels is important for allocation of budgets to hygiene and sanitation and enforcement of local sanitation by-laws.

36 4.8 LABORATORY INDICATORS FOR FY 2008/09

The proportion of OPD cases diagnosed as malaria and took a malaria test were only 22% nationally. This implies that 78% of cases that are treated with anti-malarial drugs are without a confirmatory test. Only Kampala and Gulu districts had 50% or more of their OPD cases tested for malaria. In addition, those that get tested 41% were positive for malaria. While TB slide positivity rate for all age groups stood at 20%.

Table 17: Laboratory indicators by district for FY 2008/09 No. Name of District Proportion of malaria Malaria Slide TB Slide positivity OPD cases tested positivity rate all age rate all age groups groups 1 ABIM 8% 44% 18% 2 ADJUMANI 12% 42% 31% 3 AMOLATAR 16% 45% 15% 4 AMURIA 26% 62% 15% 5 AMURU 17% 72% 6% 6 APAC 26% 43% 5% 7 ARUA 34% 39% 12% 8 BUDAKA 10% 60% 11% 9 BUDUDA 10% 28% 17% 10 BUGIRI 13% 75% 15% 11 BUKEDEA 68% 36% 4% 12 BUKWO 13% 22% 8% 13 BULIISA 2% 68% 8% 14 BUNDIBUGYO 12% 31% 15% 15 BUSHENYI 18% 30% 14% 16 BUSIA 22% 42% 18% 17 BUTALEJA 7% 60% 10% 18 DOKOLO 10% 36% 20% 19 GULU 50% 40% 21% 20 HOIMA 12% 44% 17% 21 IBANDA 7% 34% 23% 22 IGANGA 31% 39% 19% 23 ISINGIRO 14% 32% 12% 24 JINJA 22% 44% 12% 25 KAABONG 5% 37% 11% 26 KABALE 21% 21% 18% 27 KABAROLE 17% 27% 19% 28 KABERAMAIDO 22% 41% 11% 29 KALANGALA 4% 48% 22% 30 KALIRO 23% 45% 6% 31 KAMPALA 76% 34% 40% 32 KAMULI 28% 53% 17% 33 KAMWENGE 7% 66% 22% 34 KANUNGU 37% 23% 13% 35 KAPCHORWA 8% 21% 10% 36 KASESE 29% 34% 18% 37 KATAKWI 26% 45% 28% 38 KAYUNGA 11% 42% 14% 39 KIBAALE 14% 47% 21%

37 No. Name of District Proportion of malaria Malaria Slide TB Slide positivity OPD cases tested positivity rate all age rate all age groups groups 40 KIBOGA 39% 41% 11% 41 KIRUHURA 10% 43% 21% 42 KISORO 19% 15% 11% 43 KITGUM 20% 45% 16% 44 KOBOKO 12% 44% 11% 45 KOTIDO 2% 27% 8% 46 KUMI 49% 42% 9% 47 KYENJOJO 17% 44% 12% 48 LIRA 16% 46% 20% 49 LUWERO 36% 43% 15% 50 LYANTONDE 39% 47% 18% 51 MANAFWA 19% 50% 18% 52 MASAKA 23% 43% 25% 53 MASINDI 22% 41% 16% 54 MAYUGE 27% 50% 15% 55 MBALE 23% 40% 18% 56 MBARARA 16% 40% 18% 57 MITYANA 27% 39% 20% 58 MOROTO 19% 24% 15% 59 MOYO 7% 47% 14% 60 MPIGI 17% 50% 20% 61 MUBENDE 20% 45% 21% 62 MUKONO 36% 48% 15% 63 NAKAPIRIPIRIT 21% 44% 19% 64 NAKASEKE 34% 37% 7% 65 NAKASONGOLA 13% 40% 13% 66 NAMUTUMBA 8% 72% 11% 67 NEBBI 11% 41% 14% 68 NTUNGAMO 22% 32% 15% 69 NYADRI 9% 50% 12% 70 OYAM 34% 40% 16% 71 PADER 14% 34% 17% 72 PALLISA 19% 42% 7% 73 RAKAI 19% 41% 21% 74 RUKUNGIRI 41% 27% 9% 75 SIRONKO 3% 54% 24% 76 SOROTI 19% 47% 10% 77 SSEMBABULE 9% 55% 8% 78 TORORO 15% 46% 14% 79 WAKISO 30% 47% 13% 80 YUMBE 17% 55% 7% National Average 22% 41% 20% Source: Ministry of Health-Resource Centre

38 4.9 HIV/AIDS INDICATORS FY 2008/09

4.9.1 PMTCT INDICATORS FY 2008/09

Figure 6: Major PMTCT National level Indicators FY 2008/09

70% 66% 63%

60%

50%

40%

% 30%

19% 20%

10% 6%

0% % New ANC clients % Pregnant mothers % HIV+ mothers given % HIV+ mothers given tested for HIV/ADS tested who are HIV+ ARVs for prophylaxis ARVs for treatment (PMTCT) (PMTCT) Indicator

Source: Ministry of Health – Resource Centre

4.9.2 ART INDICATORS FY 2008/09 Figure 7: Major ART Indicators FY 2008/09

70%

60% 60%

50% 42% 40%

% 30%

20%

10%

0% % of clients eligible for ART out of the total tested % of clients started on ART out of the total eligible HIV+ for ART Indicator

Source: Ministry of Health – Resource Centre

39 4.9.3 HCT National level Indicators FY 2008/09

Figure 8: Distribution of Clients who tested for HIV/AIDS by gender for FY 2008/09

35%

65%

% of clients tested for HIV/AIDS who are male % of clients tested for HIV/AIDS who are female

Source: Ministry of Health – Resource Centre

Figure 9: Distribution of Clients who tested for HIV/AIDS by age group for FY 2008/09

100%

90% 86%

80%

70%

60%

% 50%

40%

30%

20% 11% 10% 3% 0% Under 5yrs 5 - 18yrs Above 18yrs Age category

Source: Ministry of Health – Resource Centre

40 Figure 10: Other findings from the HIV/AIDS Laboratory data for FY 2008/09 No. Indicator % 1. % of Clients tested for HIV/AIDS out of those counseled 99% 2 Proportion of Clients who tested for HIV/AIDS and 98% received results from the laboratory 3. % of Clients who tested positive for HIV/AIDS out of 11% the total number that were tested from the laboratory 4. % of clients aged less than 5yrs who tested HIV+ out of the total clients aged less than 5yrs who tested for HIV 12% from the laboratory 5. % of clients aged 5 - 18yrs who tested HIV+ out the total clients aged 5 - 18yrs who tested for HIV in the 7% laboratory 6. % of clients aged above 18yrs who tested HIV+ compared to the total clients aged above 18yrs who 12% tested from the laboratory 7. % of Clients who tested positive for HIV/AIDS with confirmed TB out of the total number that tested positive 11% for HIV/AIDS from the laboratory 8 % of Clients who tested positive for HIV/AIDS and were started on Cotrimaxole out of the total number that 100% tested HIV/AIDS positive from the laboratory Source: Ministry of Health – Resource Centre

41 4.10 MATERNAL HEALTH AND FAMILY PLANNING INDICATORS FY 2008/09

Table 18: Maternal health and family planning indicators by district FY 2008/09

ering in health

No. District ANC Coverage (New ANC visits) Proportion of ANC 4th Visit compared to New ANC visits 2IPT Coverage Proportion of pregnant mothers deliv facilities Proportion of live comparedbirths to the total deliveries Maternal Deaths Live Births % of deliveries with HIV positive mothers in health unit % of HIV+ pregnant mothers (PMTCT) who deliver in a health facility 1 ABIM 137% 56% 48% 43% 98% 3 1102 4% 45% 2 ADJUMANI 51% 63% 47% 21% 79% 9 2456 1% 121% 3 AMOLATAR 100% 13% 30% 21% 98% 4 1160 8% 22% 4 AMURIA 56% 17% 52% 19% 88% 7 2535 4% 42% 5 AMURU 104% 27% 44% 29% 75% 2 2214 4% 61% 6 APAC 86% 23% 23% 27% 88% 34 5869 4% 56% 7 ARUA 78% 12% 67% 32% 46% 7 3570 2% 146% 8 BUDAKA 136% 27% 36% 34% 92% 2 2458 1% 15% 9 BUDUDA 78% 45% 33% 25% 93% 2 1758 3% 38% 10 BUGIRI 71% 22% 50% 15% 87% 34 3435 2% 33% 11 BUKEDEA 90% 25% 56% 45% 88% 0 3088 2% 62% 12 BUKWO 98% 24% 37% 17% 85% 1 435 2% 20% 13 BULIISA 57% 36% 50% 8% 83% 0 239 3% 14% 14 BUNDIBUGYO 84% 40% 49% 30% 95% 23 3997 3% 49% 15 BUSHENYI 86% 46% 44% 30% 88% 24 10495 8% 58% 16 BUSIA 97% 24% 48% 32% 80% 3 3367 7% 109% 17 BUTALEJA 143% 32% 53% 39% 97% 4 3568 2% 31% 18 DOKOLO 107% 23% 59% 22% 96% 1 1659 5% 36% 19 GULU 160% 16% 44% 66% 90% 21 10296 7% 25% 20 HOIMA 80% 19% 44% 34% 85% 44 6534 5% 59% 21 IBANDA 90% 48% 28% 31% 82% 7 2867 14% 140% 22 IGANGA 108% 18% 33% 42% 67% 35 9319 2% 41% 23 ISINGIRO 91% 50% 51% 26% 93% 28 4519 3% 31% 24 JINJA 103% 39% 50% 55% 92% 10 11143 7% 126% 25 KAABONG 38% 40% 43% 5% 100% 4 798 28% 597% 26 KABALE 81% 47% 42% 24% 88% 26 4949 5% 39% 27 KABAROLE 65% 47% 62% 25% 98% 36 4559 13% 51% 28 KABERAMAIDO 67% 37% 36% 21% 100% 10 1825 5% 43% 29 KALANGALA 63% 31% 28% 10% 100% 1 262 26% 23% 30 KALIRO 156% 27% 20% 19% 61% 5 1056 0% 9% 31 KAMPALA 142% 67% 37% 100% 81% 166 60234 5% 65% 32 KAMULI 93% 17% 34% 28% 76% 43 7061 3% 55% 33 KAMWENGE 108% 34% 34% 17% 93% 2 2330 7% 35% 34 KANUNGU 106% 41% 36% 33% 99% 9 3644 5% 50% 35 KAPCHORWA 74% 21% 42% 17% 77% 7 1228 2% 36% 36 KASESE 93% 48% 40% 29% 90% 24 8455 3% 47% 37 KATAKWI 111% 10% 44% 29% 83% 1 1771 6% 29% 38 KAYUNGA 97% 21% 36% 29% 84% 21 3903 13% 104% 39 KIBAALE 96% 14% 34% 20% 73% 15 4077 4% 49% 40 KIBOGA 89% 42% 51% 30% 82% 12 3531 10% 77%

ering in health

No. District ANC Coverage (New ANC visits) Proportion of ANC 4th Visit compared to New ANC visits 2IPT Coverage Proportion of pregnant mothers deliv facilities Proportion of live comparedbirths to the total deliveries Maternal Deaths Live Births % of deliveries with HIV positive mothers in health unit % of HIV+ pregnant mothers (PMTCT) who deliver in a health facility 41 KIRUHURA 69% 23% 26% 12% 98% 0 1508 5% 22% 42 KISORO 104% 41% 21% 46% 98% 22 5216 2% 55% 43 KITGUM 63% 52% 67% 41% 98% 37 7104 7% 70% 44 KOBOKO 81% 26% 39% 25% 93% 4 2187 3% 53% 45 KOTIDO 68% 41% 51% 13% 96% 1 1154 3% 31% 46 KUMI 89% 16% 65% 54% 99% 11 9220 3% 60% 47 KYENJOJO 101% 37% 40% 22% 90% 10 4595 7% 37% 48 LIRA 116% 25% 51% 29% 79% 24 7021 6% 33% 49 LUWERO 57% 38% 49% 25% 100% 3 5022 5% 20% 50 LYANTONDE 177% 41% 49% 71% 96% 9 2478 5% 36% 51 MANAFWA 83% 38% 45% 20% 100% 4 3190 2% 39% 52 MASAKA 70% 50% 33% 31% 97% 75 11805 8% 57% 53 MASINDI 67% 27% 69% 26% 83% 43 5905 4% 47% 54 MAYUGE 72% 24% 45% 19% 98% 7 3646 5% 37% 55 MBALE 112% 55% 26% 48% 74% 58 6911 11% 157% 56 MBARARA 103% 55% 30% 49% 81% 113 7952 7% 54% 57 MITYANA 89% 35% 48% 40% 96% 20 5419 7% 58% 58 MOROTO 65% 37% 57% 15% 55% 3 1095 2% 53% 59 MOYO 41% 64% 65% 22% 100% 6 3484 9% 345% 60 MPIGI 97% 20% 40% 42% 87% 10 7775 5% 43% 61 MUBENDE 93% 29% 43% 16% 82% 22 3501 6% 33% 62 MUKONO 79% 32% 52% 37% 91% 43 15043 6% 73% 63 NAKAPIRIPIRIT 42% 33% 69% 4% 100% 6 490 6% 27% 64 NAKASEKE 78% 23% 55% 48% 96% 20 3812 6% 90% 65 NAKASONGOLA 103% 38% 47% 31% 96% 3 2102 3% 21% 66 NAMUTUMBA 79% 25% 36% 25% 81% 0 1913 1% 24% 67 NEBBI 104% 40% 50% 53% 88% 20 11682 1% 39% 68 NTUNGAMO 102% 47% 21% 28% 96% 21 5807 3% 61% 69 NYADRI 85% 28% 60% 30% 76% 25 4107 2% 352% 70 OYAM 77% 27% 62% 26% 100% 10 4499 6% 32% 71 PADER 66% 60% 48% 27% 100% 8 6417 5% 50% 72 PALLISA 123% 27% 51% 48% 88% 6 9823 1% 25% 73 RAKAI 95% 71% 47% 28% 97% 30 5845 17% 70% 74 RUKUNGIRI 112% 35% 43% 54% 72% 41 5648 4% 46% 75 SEMBABULE 78% 24% 53% 15% 96% 1 1418 5% 19% 76 SIRONKO 90% 30% 60% 27% 82% 7 3549 2% 24% 77 SOROTI 63% 31% 16% 31% 97% 17 7584 5% 68% 78 TORORO 98% 25% 52% 29% 98% 6 6154 5% 42% 79 WAKISO 65% 56% 42% 28% 87% 11 13792 6% 49% 80 YUMBE 57% 30% 70% 30% 100% 9 6589 1% 53% TOTAL 89% 36% 43% 34% 87% 1453 430228 5% 65% Source: Ministry of Health – Resource Centre *In some districts the numbers of HIV+ mothers that attended ANC are less than those that deliver from a health facility giving a coverage which is beyond 100%

43 Figure 11: Proportion of Pregnant women receiving 2nd dose of Fansidar (IPT 2) 80%

70%

60%

50% National Average 43%

% 40%

30%

20%

10%

LIRA

ABIM

KUMI

JINJA

APAC

GULU

ARUA

MPIGI

OYAM

NEBBI BUSIA RAKAI

MOYO

HOIMA

MBALE

BUGIRI

PADER

YUMBE

KALIRO

AMURU

KAMULI

IBANDA

NYADRI

BUKWO

KIBOGA

KOTIDO BULIISA

SOROTI

IGANGA

KISORO

KITGUM

AMURIA

KABALE

WAKISO

KASESE

PALLISA

BUDAKA

MASINDI

KIBAALE MASAKA

BUDUDA

DOKOLO

MAYUGE

KOBOKO

TORORO

LUWERO

MITYANA

ISINGIRO

MOROTO MUKONO

KATAKWI

SIRONKO

KAMPALA

BUKEDEA

KAYUNGA

KAABONG

MBARARA

MUBENDE

KANUNGU

BUTALEJA

ADJUMANI MANAFWA BUSHENYI

KIRUHURA

KYENJOJO

KABAROLE

NAKASEKE

AMOLATAR

RUKUNGIRI

NTUNGAMO

KAMWENGE

KALANGALA

SEMBABULE

LYANTONDE

NAMUTUMBA

KAPCHORWA

BUNDIBUGYO

NAKAPIRIPIRIT

KABERAMAIDO

NAKASONGOLA

NationalAverage Districts

44 Figure 11 above shows the proportion of pregnant women who reported receiving a 2nd dose of Fansidar for Intermittent Presumptive Treatment (IPT) of malaria, by district. Districts with a high proportion include Yumbe, Masindi, Kitgum, and Kumi with 70%, 69%, 67% and 65% respectively. The national proportion of pregnant women who reported receiving a 2nd dose of Fansidar for IPT of malaria was 43%, while that for 2007/08 was 39%. This is an upward trend and a sign that more pregnant women have accessed the 2nd dose of Fansidar. However this did not meet the HSSP II target of 50% for this FY.

4.11 STOCK OUT OF ESSENTIAL DRUGS BY DISTRICT IN FY 2008/09

A stock out of a given drug implies that a health facility didn’t have that particular drug at some point in time during the FY. Table 17 below presents data on stock outs of essential drugs namely first and second line drugs for malaria, ORS, measles vaccines and HIV test kits among others. According to available data, the national average for health facilities with stock outs of the 1st line drugs for malaria is 26%. 21 districts reported having 0% or no stock outs in the health facilities while Nakapiripirit and Amolatar had stock outs of the 1st line malaria drug in all the health facilities during the FY.

Nationally, health facilities with stock outs of measles vaccines in FY 2008/09 accounted for 15%. Further analysis also shows that 21 districts had no stock outs of measles vaccines. Notable among the districts with stock outs of measles vaccines are Nakapiripirit and Kaabong with 100% and 96% respectively. This implies that all facilities in Nakapiripirit had measles vaccine stockouts while only 4% of the health facilities in Kaabong experienced no measles vaccine stockouts.

Overall health facilities with no stock outs of the essential drugs, vaccines and contraceptives at the national level accounted for 41%. In this category 16 districts had all their facilities with no stock outs or 0%. Iganga, Lyantonde and Kabale had 96%, 94% and 90% respectively in this overall indicator, implying that most of their health facilities experienced no stockouts.

45 Table 19: Stockout status of essential drugs by district FY 2008/09

he 1st

ilities

breaker

sachets

Quinine Provera

Fansidar

Measles Vaccine

Name of District

with stockouts of with stockouts of with stockouts of

test kits Screening

ith stockouts of HIV

and contraceptives

Cotrimoxazole tabs

line line drug of malaria

test kits Tie

% of health facilities % of health facilities % of health facilities % of health facilities with stockouts of the % of health facilities % of health fac % of health facilities % of health facilities % of health facilities % of health facilities % of health facilities

with stockouts of HIV with stockouts of HIV w

test kits Confirmatory

with stockouts of ORS

with stockouts of Depo

with no stockouts of the

with stockouts of t

essential drugs, vaccines ABIM 39% 59% 39% 52% 39% 39% 39% 39% 33% 39% 41% ADJUMANI 9% 32% 27% 14% 14% 23% 14% 0% 0% 0% 68% AMOLATAR 100% 83% 67% 17% 0% 25% 67% 0% 0% 17% 0% AMURIA 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% AMURU 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% APAC 34% 50% 22% 17% 8% 48% 45% 28% 6% 11% 50% ARUA 0% 15% 3% 9% 6% 0% 12% 0% 0% 3% 85% BUDAKA 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% BUDUDA 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% BUGIRI 19% 67% 48% 19% 25% 17% 46% 38% 19% 0% 33% BUKEDEA 0% 82% 0% 0% 0% 82% 82% 0% 0% 0% 18% BUKWO 42% 84% 34% 8% 42% 17% 92% 8% 0% 8% 8% BULIISA 33% 44% 11% 11% 56% 0% 33% 11% 11% 11% 44% BUNDIBUGYO 67% 81% 64% 67% 74% 53% 67% 56% 21% 25% 19% BUSHENYI 61% 29% 4% 3% 25% 19% 25% 3% 1% 1% 39% BUSIA 43% 47% 34% 22% 52% 17% 30% 30% 26% 9% 48% BUTALEJA 53% 53% 18% 9% 35% 13% 53% 0% 0% 0% 47% DOKOLO 53% 53% 18% 9% 18% 53% 53% 26% 35% 35% 47% GULU 26% 52% 32% 19% 17% 11% 39% 17% 17% 19% 48% HOIMA 9% 28% 5% 2% 11% 5% 30% 0% 2% 0% 70%

he 1st

ilities

breaker

sachets

Quinine Provera

Fansidar

Measles Vaccine

Name of District

with stockouts of with stockouts of with stockouts of

test kits Screening

ith stockouts of HIV

and contraceptives

Cotrimoxazole tabs

line line drug of malaria

test kits Tie

with stockouts of HIV with stockouts of HIV w

test kits Confirmatory

with stockouts of ORS

with stockouts of Depo

with no stockouts of the

with stockouts of t

essential drugs, vaccines IBANDA 95% 89% 84% 89% 92% 95% 89% 95% 84% 84% 5% IGANGA 2% 4% 4% 0% 4% 2% 2% 0% 0% 0% 96% ISINGIRO 22% 32% 40% 5% 46% 8% 11% 3% 5% 5% 54% JINJA 40% 40% 19% 19% 40% 30% 38% 0% 0% 3% 60% KAABONG 96% 96% 96% 96% 100% 96% 100% 96% 96% 100% KABALE 10% 8% 2% 3% 1% 3% 4% 1% 1% 1% 90% KABAROLE 8% 15% 3% 5% 13% 13% 13% 15% 13% 13% 85% KABERAMAIDO 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% KALANGALA 11% 21% 32% 11% 21% 0% 42% 21% 32% 21% 58% KALIRO 0% 71% 71% 71% 71% 71% 71% 71% 71% 71% 29% KAMPALA 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% KAMULI 22% 22% 30% 22% 22% 22% 22% 22% 22% 22% 70% KAMWENGE 78% 98% 30% 13% 13% 44% 27% 13% 20% 24% 2% KANUNGU 14% 0% 0% 0% 28% 30% 38% 9% 16% 9% 62% KAPCHORWA 87% 30% 38% 11% 23% 19% 45% 26% 0% 0% 13% KASESE 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% KATAKWI 94% 44% 11% 6% 6% 0% 11% 6% 6% 6% 6% KAYUNGA 53% 59% 32% 48% 80% 59% 64% 0% 0% 0% 20% KIBAALE 25% 20% 18% 3% 25% 0% 0% 0% 0% 0% 75% KIBOGA 20% 20% 9% 20% 70% 20% 20% 20% 20% 20% 30% KIRUHURA 67% 60% 54% 32% 22% 29% 51% 22% 19% 32% 33%

he 1st

ilities

breaker

sachets

Quinine Provera

Fansidar

Measles Vaccine

Name of District

with stockouts of with stockouts of with stockouts of

test kits Screening

ith stockouts of HIV

and contraceptives

Cotrimoxazole tabs

line line drug of malaria

test kits Tie

with stockouts of HIV with stockouts of HIV w

test kits Confirmatory

with stockouts of ORS

with stockouts of Depo

with no stockouts of the

with stockouts of t

essential drugs, vaccines KISORO 3% 25% 25% 3% 13% 25% 22% 0% 0% 0% 75% KITGUM 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% KOBOKO 0% 80% 20% 20% 40% 10% 70% 50% 40% 40% 20% KOTIDO 55% 43% 49% 25% 25% 18% 55% 12% 12% 12% 45% KUMI 16% 43% 24% 20% 24% 35% 35% 4% 4% 4% 57% KYENJOJO 45% 3% 35% 41% 51% 19% 19% 16% 0% 0% 49% LIRA 23% 30% 25% 5% 7% 14% 9% 28% 25% 25% 70% LUWERO 16% 31% 5% 7% 14% 7% 19% 2% 2% 2% 69% LYANTONDE 0% 0% 0% 0% 0% 0% 0% 6% 6% 6% 94% MANAFWA 55% 50% 55% 59% 41% 64% 41% 5% 32% 5% 36% MASAKA 15% 24% 15% 15% 15% 15% 15% 15% 15% 15% 76% MASINDI 11% 25% 9% 16% 14% 9% 18% 2% 2% 2% 75% MAYUGE 44% 53% 39% 9% 18% 18% 31% 13% 9% 26% 47% MBALE 71% 71% 68% 28% 28% 28% 56% 28% 28% 23% 29% MBARARA 9% 17% 20% 3% 11% 28% 40% 6% 3% 6% 60% MITYANA 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% MOROTO 28% 33% 44% 0% 6% 0% 0% 6% 6% 6% 56% MOYO 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% MPIGI 28% 28% 20% 32% 12% 12% 61% 2% 4% 6% 39% MUBENDE 8% 29% 55% 13% 18% 21% 42% 8% 10% 10% 45% MUKONO 5% 9% 5% 2% 6% 2% 11% 3% 2% 0% 89%

he 1st

ilities

breaker

sachets

Quinine Provera

Fansidar

Measles Vaccine

Name of District

with stockouts of with stockouts of with stockouts of

test kits Screening

ith stockouts of HIV

and contraceptives

Cotrimoxazole tabs

line line drug of malaria

test kits Tie

with stockouts of HIV with stockouts of HIV w

test kits Confirmatory

with stockouts of ORS

with stockouts of Depo

with no stockouts of the

with stockouts of t

essential drugs, vaccines NAKAPIRIPIRIT 100% 100% 100% 100% 100% 100% 100% 75% 94% 94% 0% NAKASEKE 34% 40% 6% 6% 17% 11% 40% 17% 17% 17% 60% NAKASONGOLA 10% 38% 7% 3% 31% 17% 35% 3% 3% 3% 62% NAMUTUMBA 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% NEBBI 12% 5% 7% 2% 5% 4% 9% 0% 0% 0% 88% NTUNGAMO 62% 68% 32% 5% 22% 46% 22% 49% 5% 5% 32% NYADRI 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% OYAM 0% 11% 0% 6% 0% 0% 22% 0% 0% 0% 78% PADER 21% 56% 32% 49% 42% 60% 28% 0% 0% 0% 40% PALLISA 42% 60% 34% 18% 39% 16% 55% 10% 5% 5% 40% RAKAI 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% RUKUNGIRI 0% 5% 2% 0% 0% 0% 7% 0% 0% 0% 93% SEMBABULE 73% 69% 64% 18% 73% 9% 64% 14% 9% 23% 27% SIRONKO 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% SOROTI 73% 100% 50% 27% 23% 23% 82% 14% 14% 14% 0% TORORO 42% 18% 28% 32% 28% 23% 26% 4% 4% 4% 58% WAKISO 1% 19% 21% 4% 9% 2% 23% 1% 9% 7% 77% YUMBE 31% 31% 12% 0% 31% 0% 25% 0% 0% 12% 69% National Total 26% 31% 21% 15% 21% 18% 27% 12% 10% 10% 41% Source: Ministry of Health – Resource Centre *Details on proportion of health facilities reporting by month by district for FY 2008/09 is in appendix IX

49 5.0 CAUSES OF MORBIDITY FOR FY 2008/09

This section presents an analysis of the causes of morbidity from the outpatient records.

5.1. ALL CAUSES OF MORBIDITY FOR FY 2008/09

Table 20: Ranking of all causes of morbidity for all age groups FY 2008/09 Ranking Diagnosis Name: Cases % of total Diagnoses 1 Malaria 12226815 48.45% 2 No Pneumonia- Cough or Cold 3922790 15.54% 3 Intestinal Worms 1106879 4.39% 4 Skin Diseases 726775 2.88% 5 Diarrhoea-Acute 636720 2.52% 6 Pneumonia 614670 2.44% 7 Gastro-Intestinal Disorders (Non-infective) 469562 1.86% 8 Eye Conditions 442444 1.75% 9 Sexually Transmitted Diseases 402568 1.60% 10 Injuries = (Trauma due to Other Causes) 401276 1.59% 11 Urinary Tract Infections 397794 1.58% 12 Oral Diseases and Conditions 313828 1.24% 13 AIDS 302271 1.20% 14 ENT Conditions 287150 1.14% 15 Pelvic Inflammatory Disease 230014 0.91% 16 Malaria in Pregnancy 138506 0.55% 17 Anaemia 116648 0.46% 18 Epilepsy 114137 0.45% 19 Hypertension 98236 0.39% 20 Diarrhoea-Persistent 95363 0.38% 21 Asthma 82317 0.33% 22 Injuries - Road Traffic Accidents 81943 0.32% 23 Dysentery 61606 0.24% 24 Typhoid Fever 55141 0.22% 25 Diabetes Mellitus 41558 0.16% 26 Tuberculosis (New Cases) 29587 0.12% 27 Animal/ Snake Bite 29486 0.12% 28 Abortion 28259 0.11% 29 Other Types of Meningitis 25610 0.10% Severe Malnutrition (Marasmus, Kwashiorkor, 30 Marasmic-kwash) 24267 0.10% 31 Low Weight For Age 24254 0.10% 32 Other Emerging Infectious Diseases 18610 0.07% 33 Leprosy 13557 0.05% 34 Other Forms of Mental Illness 12602 0.05% 35 Other Cardiovascular Diseases 12431 0.05% 36 Anxiety Disorders 12215 0.05% 37 Schistosomiasis 9366 0.04% 38 Depression 9230 0.04% 39 Perinatal conditions (in New borns 0 to 28 days) 6414 0.03% 40 Onchocerciasis 6329 0.03% 41 Schizophrenia 6157 0.02% 42 Alcohol and Drug Abuse 5228 0.02%

50 Ranking Diagnosis Name: Cases % of total Diagnoses 43 Mania 5069 0.02% 44 High Blood Pressure in Pregnancy 4182 0.02% 45 Haemorrhage Related to Pregnancy (APH and/or PPH) 4176 0.02% 46 Obstructed Labour 3973 0.02% 47 Childhood Mental Disorders 3816 0.02% 48 Measles 1476 0.01% 49 Sleeping Sickness 1414 0.01% 50 Tetanus (Over 28 Days Age) 939 0.00% 51 Cholera 909 0.00% 52 Other Viral Haemorrhagic Fevers 451 0.00% 53 Meningitis (Meningococcal) 272 0.00% 54 Acute Flaccid Paralysis 144 0.00% 55 Rabies 123 0.00% 56 Tetanus Neonatal (0-28 days) 101 0.00% 57 Guinea Worm 58 Yellow Fever 59 Plague Other Diagnoses (specify Priority Diseases for District) 193909 All Others 1376060 Grand Total 25237627

5.2: CAUSES OF MORBIDITY BY AGE GROUP FOR FY 2008/09

Figure 12: Top 10 causes of morbidity in all age groups for FY 2008/09

Sexually Transmitted Injuries = (Trauma due to Diseases, 1.6% Other Causes), 1.6% Gastro-Intestinal Disorders Eye Conditions, 1.8% (Non-infective), 1.9%

Pneumonia, 2.4%

Diarrhoea-Acute, 2.5%

Skin Diseases, 2.9%

Intestinal Worms, 4.4%

Malaria, 48.4%

No Pneumonia- Cough or Cold, 15.5%

Source: Ministry of Health/Resource Centre The major causes of disease burden in all the age groups were noted to be malaria and non-pneumonia cough and cold, accounting for 60% of the disease burden. The same distribution can also be seen in the different age groups and gender as shown in figure 13 and 14 below.

51 Figure 13: Top 10 causes of morbidity in the under 5’s for FY 2008/09

ENT Conditions, 0.8% Injuries = (Trauma due to Eye Conditions, 1.5% Other Causes), 0.7% Gastro-Intestinal Disorders (Non-infective), 0.6% Pneumonia, 2.5%

Skin Diseases, 2.8%

Intestinal Worms, 3.1%

Diarrhoea-Acute, 3.2%

No Pneumonia- Cough or Cold, 13.0%

Malaria, 65.1%

Source: Ministry of Health/Resource Centre

Figure 14: Top 10 causes of morbidity in above 5yr’s for FY 2008/09

Injuries = (Trauma due to AIDS, 2.0% Pneumonia, 2.4% Other Causes), 2.4%

Urinary Tract Infections, 2.6% Sexually Transmitted Diseases, 2.8%

Gastro-Intestinal Disorders (Non-infective), 2.9%

Skin Diseases, 3.0% Malaria, 34.9%

Intestinal Worms, 5.4%

No Pneumonia- Cough or Cold, 17.6%

Source: Ministry of Health/Resource Centre

52 5.3: CAUSES OF MORBIDITY BY GENDER FOR FY 2008/09

Figure 15: Top 10 causes of morbidity in male for FY 2008/09

Source: Ministry of Health/Resource Centre

Figure 16: Top 10 causes of morbidity in female for FY 2008/09

Source: Ministry of Health/Resource Centre

53 5.4: NON COMMUNICABLE DISEASES FOR FY 2008/09

Table 21: Ranking of non communicable diseases according to age group for FY 2008/09 Ranking Diagnosis Name: % 0-4 Years % 5 and above Years % Gastro-Intestinal Disorders Injuries = (Trauma due to Gastro-Intestinal Disorders 25.6% 20.67% 1 (Non-infective) Other Causes) (Non-infective) 26.9% Injuries = (Trauma due to Gastro-Intestinal Disorders Injuries = (Trauma due to 21.9% 19.98% 2 Other Causes) (Non-infective) Other Causes) 22.2% Oral Diseases and Oral Diseases and 17.1% 17.95% 3 Conditions Anaemia Conditions 16.9% Oral Diseases and 6.4% 17.84% 4 Anaemia Conditions Epilepsy 6.7% Severe Malnutrition 6.2% (Marasmus, Kwashiorkor, 5.73% 5 Epilepsy Marasmic-kwash) Hypertension 6.6% 6 Hypertension 5.4% Low Weight For Age 5.17% Asthma 5.0% Injuries - Road Traffic 4.5% 4.29% 7 Asthma Epilepsy Accidents 4.6% Injuries - Road Traffic Injuries - Road Traffic 4.5% 3.86% 8 Accidents Accidents Anaemia 3.6% 9 Diabetes Mellitus 2.3% Asthma 2.37% Diabetes Mellitus 2.7% Severe Malnutrition (Marasmus, Kwashiorkor, 1.3% Other Cardiovascular 0.48% 10 Marasmic-kwash) Diseases Anxiety Disorders 0.8% Other Forms of Mental Other Forms of Mental 1.3% 0.42% 11 Low Weight For Age Illness Illness 0.8% Other Forms of Mental Other Cardiovascular 0.7% 0.37% 12 Illness Diabetes Mellitus Diseases 0.7% Other Cardiovascular 0.7% 0.24% 13 Diseases Childhood Mental Disorders Depression 0.6% 14 Anxiety Disorders 0.7% Hypertension 0.23% Low Weight For Age 0.4% 15 Depression 0.5% Schizophrenia 0.16% Schizophrenia 0.4% 16 Schizophrenia 0.3% Alcohol and Drug Abuse 0.10% Mania 0.3% 17 Alcohol and Drug Abuse 0.3% Anxiety Disorders 0.06% Alcohol and Drug Abuse 0.3% Severe Malnutrition 0.3% 0.05% (Marasmus, Kwashiorkor, 18 Mania Mania Marasmic-kwash) 0.3% Childhood Mental 0.2% 0.02% 19 Disorders Depression Childhood Mental Disorders 0.2% % Non Communicable diseases of 7.3% % 0 – 4yrs out of the total 19% % 5 and above yrs out of 81% total OPD diagnoses Non Communicable the total Non diseases Communicable diseases Source: Ministry of Health/Resource Centre-Resource Centre

54 5.5: DISEASES OF EPIDEMIC POTENTIAL FOR FY 2008/09

Table 22: Summary of diseases of epidemic potential for FY 2008/09 Disease/Diagnosis name No. of reported cases Acute Flaccid Paralysis 144 Cholera 909 Dysentery 61606 Guinea Worm 0 Measles 1476 Meningitis (Meningococcal) 272 Plague 0 Rabies 123 Tetanus Neonatal (0-28 days) 101 Yellow Fever 0 Other Viral Haemorrhagic Fevers 451 Other Emerging Infectious Diseases 18610 Source: Ministry of Health - Resource Centre

5.6: MATERNAL AND PERINATAL CONDITIONS FOR FY 2008/09

Figure 17: Distribution of maternal and perinatal conditions for FY 2008/09

Perinatal conditions (in New borns 0 to 28 days), 3.5%

Obstructed Labour, 2.1% Abortion, 15.2%

Haemorrhage Related to Pregnancy (APH and/or PPH), 2.3% High Blood Pressure in Pregnancy, 2.3%

Malaria in Pregnancy, 74.7%

Source: Ministry of Health - Resource Centre

55 APPENDICES

APPENDIX I: SERVICE AVAILABILITY AT HC IV LEVEL FOR FY 2008/09

District HSD IV HC OPD Dental ART HCT IPD Deliveries PMTCT C/S Major Operations Minor Operations Blood Transfusion LTFP Total Services Available service % Key Provided AMOLATAR Kiboga Amolatar 1 0 1 1 1 1 1 0 0 1 0 0 7 58% AMURIA Amuria Amuria 1 1 1 1 1 1 1 0 1 1 1 1 11 92% Kapelebyong Kapelebyong 1 0 1 1 1 0 1 0 0 0 0 1 6 50% AMURU Kilak Kilak 1 0 1 0 1 1 0 0 1 0 0 0 5 42% APAC Kole Aboke 1 1 1 1 0 0 1 1 1 1 1 1 10 83% Kwania Aduku 1 1 1 1 0 0 1 1 1 1 1 1 10 83% ARUA Arua Municipality Oli 1 0 0 1 1 1 0 0 0 0 0 0 4 33% Ayivu Adumi 1 0 0 1 1 0 0 0 0 1 0 1 5 42% Lower Madi Rhino Camp 1 1 0 1 0 1 1 1 0 0 0 1 7 58% BUDAKA Budaka Budaka 1 1 1 1 1 1 1 0 1 1 0 1 10 83% BUDUDA Manjiya Manjiya 1 1 1 1 0 1 1 1 1 1 1 1 11 92% BUGIRI Buyinja Buyinja 1 1 1 1 0 1 1 0 0 0 0 0 6 50% Nankoma Nankoma 1 1 0 1 1 1 1 0 0 0 0 0 6 50% BUKWO Kongasis Bukwo 1 1 1 1 1 1 1 1 1 1 0 1 11 92% BUSHENYI Buhweju Nsiika 1 1 1 1 1 1 1 0 0 1 0 1 9 75% Bunyaruguru Rugazi 1 1 1 1 1 1 1 1 0 1 1 1 11 92% Igara East Kyabugimbi 1 1 0 1 1 1 1 0 0 0 0 1 7 58% Ruhinda Mitooma 1 1 0 1 1 1 1 0 1 1 1 0 9 75% Sheema North Kabwoohe 1 1 1 1 1 1 1 1 0 1 1 1 11 92% Sheema South Shuuku 1 1 0 1 1 1 1 0 0 1 0 0 7 58% BUSIA Samia Bugwe North Busia 1 1 1 1 0 1 1 0 0 0 0 0 6 50%

District HSD IV HC OPD Dental ART HCT IPD Deliveries PMTCT C/S Major Operations Minor Operations Blood Transfusion LTFP Total Services Available service % Key Provided GULU Aswa Awach 1 1 1 1 1 1 1 0 0 0 0 1 8 67% Omoro Lalogi 1 1 1 1 1 1 1 0 0 0 0 1 8 67% IBANDA Ibanda North Ishongororo 1 0 0 0 0 0 0 0 0 0 0 0 1 8% IGANGA Bugweri Busesa 1 1 1 1 1 0 1 0 0 1 0 0 7 58% Kigulu North Bugono 1 0 1 1 0 1 1 0 0 0 0 0 5 42% Luuka Kiyunga 1 0 1 1 1 1 1 1 1 0 0 0 8 67% ISINGIRO Bukanga Rwekubo 1 0 0 1 1 1 1 0 0 0 0 0 5 42% Isingiro North Nyamuyanja 1 1 0 1 1 1 1 0 0 1 0 0 7 58% Isingiro South Kabuyanda 1 1 1 1 1 1 1 1 1 1 0 1 11 92% JINJA Butembe Bugembe 1 1 1 1 1 1 1 0 0 1 0 1 9 75% Jinja Municipal East Walukuba 1 1 1 1 0 1 1 0 0 0 0 0 6 50% Jinja Municipal West Mpumudde 1 1 1 1 1 1 1 0 0 0 0 0 7 58% Kagoma Buwenge 1 1 1 1 1 1 1 0 0 1 0 0 8 67% Kiira Budono 1 1 1 1 1 1 1 0 0 0 0 0 7 58% KAABONG Dodoth North Karenga 1 0 1 1 1 1 0 0 0 1 0 0 6 50% KABALE Kabale Munipality Kamukira 1 0 0 1 0 1 1 0 0 0 0 0 4 33% Ndorwa East Maziba 1 1 1 1 1 1 1 0 0 0 0 0 7 58% Ndorwa West Rubaya 1 1 1 1 1 1 1 0 0 0 0 1 8 67% Rubanda East Hamurwa 1 0 0 1 0 1 1 0 0 0 0 0 4 33% Rubanda West Muko 1 1 1 1 1 1 1 0 0 0 0 0 7 58% Rukiga North Mparo 1 1 1 1 1 1 1 0 0 1 0 0 8 67% Rukiga South Kamwezi 1 1 1 1 1 1 1 0 1 1 0 0 9 75% KABAROLE Burahya Bukuku 1 1 1 1 1 1 0 0 1 0 0 1 8 67% Fort Portal Municip. Kataraka 1 0 0 0 0 0 0 0 0 0 0 0 1 8% KALANGALA Bujumba Kalangala 1 1 1 0 1 1 1 0 0 0 0 0 6 50% Kyamuswa Bukasa 1 1 0 0 0 1 1 0 0 0 0 0 4 33% KALIRO Bulamogi Bumanya 1 1 1 1 1 1 1 0 0 0 0 0 7 58%

District HSD IV HC OPD Dental ART HCT IPD Deliveries PMTCT C/S Major Operations Minor Operations Blood Transfusion LTFP Total Services Available service % Key Provided KAMPALA Kawempe South Kawempe 1 0 1 1 0 0 1 0 0 0 0 1 5 42% KAMULI Budiope Kidera 1 1 0 1 1 1 1 0 0 0 0 0 6 50% Bugabula South Namwendwa 1 1 0 1 1 1 1 0 0 0 0 1 7 58% Buzaaya Nankandulo 1 1 0 1 1 1 1 0 0 0 0 0 6 50% KAMWENGE Ntara Ntara 1 0 1 1 1 1 1 0 0 1 1 0 8 67% Rukunyu Rukunyu 1 1 1 1 1 1 1 0 0 1 1 1 10 83% KANUNGU Kinkizi East Kanungu 1 0 0 1 0 0 1 0 0 0 0 0 3 25% Kinkizi West Kihihi 1 1 1 1 0 0 1 0 1 1 1 1 9 75% KASESE Busongora North Rwesande 1 1 0 0 1 1 0 0 0 0 0 0 4 33% KATAKWI Usuk Katakwi 1 1 1 1 1 1 1 1 1 1 1 1 12 100% KAYUNGA Bbaale Bbaale 1 1 1 1 0 1 1 0 0 1 0 1 8 67% Ntenjeru South Kangulumira 1 1 1 1 0 1 1 0 0 1 0 1 8 67% KIBAALE Bugangaizi Kakindo 1 1 1 1 1 1 1 0 0 1 1 1 10 83% Buyaga St Ambrose PNFP 1 0 0 0 1 1 0 1 0 0 0 1 5 42% Buyanga Kibaale 1 0 1 1 1 1 1 1 1 1 0 0 9 75% Buyanja Kakumiro 1 1 1 1 1 1 1 0 0 1 0 1 9 75% KIBOGA Bukomero Bukomero 1 0 1 1 0 1 1 1 1 1 0 1 9 75% Ntwetwe Ntwetwe 1 0 1 1 1 1 1 0 0 1 0 0 7 58% KISORO Bufumbira East Chahafi 1 0 0 0 1 1 1 0 0 1 0 1 6 50% Bufumbira North Busanza 1 0 0 1 1 1 1 0 0 0 0 0 5 42% Bufumbira North Rubuguri 1 1 0 1 1 1 1 0 1 1 0 0 8 67% KITGUM Chua Namukora 1 0 0 0 0 0 0 0 0 0 0 0 1 8% Lamwo Madi Opei 1 0 1 1 0 1 1 0 0 0 0 0 5 42% Lamwo Padipe 1 0 1 0 0 0 0 0 0 0 0 0 2 17% KOBOKO Koboko Koboko 1 1 1 1 1 1 1 0 1 1 1 1 11 92% KOTIDO Jie Kotido 1 0 1 0 1 1 1 1 1 1 0 0 8 67% KYENJOJO Kyarusozi Kyarusozi 1 1 1 1 0 1 1 0 0 1 0 0 7 58%

District HSD IV HC OPD Dental ART HCT IPD Deliveries PMTCT C/S Major Operations Minor Operations Blood Transfusion LTFP Total Services Available service % Key Provided Kyegegwa Kyegegwa 1 1 1 1 1 1 1 1 1 1 1 1 12 100% Kyenjojo Kyenjojo 1 1 1 1 0 1 1 0 0 1 1 0 8 67% LIRA Erute North Ogur 1 0 1 1 0 1 1 0 0 1 0 0 6 50% Erute South Amach 1 0 1 1 0 1 1 0 1 1 0 0 7 58% Lira Municipal Pag Mission 1 0 1 1 0 1 1 0 0 1 1 0 7 58% Council Moroto Alebtong 1 0 1 1 1 1 1 0 0 1 0 0 7 58% Otuke Orum 1 0 1 1 1 1 1 0 0 0 0 0 6 50% LUWERO Bamunanika Kalagala 1 1 1 1 1 1 1 1 1 1 0 1 11 92% Katikamu North Luwero 1 1 1 1 1 1 1 1 0 1 0 1 10 83% Katikamu South Nyimbwa 1 1 1 1 1 1 1 0 0 0 0 0 7 58% MANAFWA Bubulo West BUGOBERO 1 0 1 1 0 0 0 0 0 0 0 0 3 25% MARACHA TEREGO Terego Omugo 1 1 0 1 1 1 1 0 1 1 0 1 9 75%

MASAKA Bukomansimbi Butenga 1 1 1 1 0 1 1 0 0 0 0 0 6 50% Bukoto Central Kyannamukaaka 1 0 1 1 1 1 0 0 0 0 0 0 5 42% Bukoto East Kiyumba 1 1 1 1 1 1 0 0 0 1 1 1 9 75% Bukoto Midwest Lwengo 1 1 0 0 1 1 1 0 0 0 1 1 7 58% Bukoto South Kiwangala 1 1 1 1 1 1 1 0 0 1 1 1 10 83% Kalungu East Bukulula 1 1 1 1 0 1 1 0 0 0 0 1 7 58% Kalungu West Kyamulibwa 1 1 0 1 1 1 1 1 1 1 1 0 10 83% MASINDI Bujenje Bwijanga 1 1 1 0 1 1 1 0 0 0 0 1 7 58% MBALE Bungokho North Bufumbo 1 0 0 1 1 1 1 0 1 1 0 1 8 67% MBARARA Kashari Bwizibwera 1 1 1 1 0 1 1 0 0 0 0 1 7 58% Rwampara Bugamba 1 0 1 1 1 1 1 0 0 1 0 0 7 58% Rwampara Kinoni 1 1 1 1 0 1 1 0 0 0 1 1 8 67% MITYANA Mityana North Kyantungo 1 1 1 1 1 1 1 0 0 0 0 1 8 67%

District HSD IV HC OPD Dental ART HCT IPD Deliveries PMTCT C/S Major Operations Minor Operations Blood Transfusion LTFP Total Services Available service % Key Provided Mwera/ Busujju Mwera 1 1 1 1 1 1 1 0 0 1 0 1 9 75% MOYO Obongi Obongi 1 1 0 1 1 1 1 0 1 1 0 1 9 75% MPIGI Gomba Muddu 1 1 1 1 0 1 1 0 0 0 0 1 7 58% Mawokota Mpigi 1 1 1 1 1 1 1 1 1 1 1 1 12 100% MUBENDE Kasuanda Kiganda 1 1 0 1 0 0 1 0 0 0 0 0 4 33% NAKAPIRIPIRIT Chekwi& Pian Tokora & 1 0 1 1 1 1 1 0 0 1 0 0 7 58% Nabilatuk NAKASEKE Nakaseke Semuto 1 1 1 1 1 1 1 0 0 0 0 0 7 58% Ngoma Ngoma 1 1 0 1 1 1 1 0 0 0 0 0 6 50% NAKASONGOLA NakasongoPla Nakasongola 1 1 1 1 0 1 1 0 0 1 1 1 9 75% NAMUTUMBA Busiki Nsinze 1 0 1 1 0 1 1 0 0 1 0 0 6 50% NTUNGAMO Kajara Rwashamaire 1 1 1 1 1 1 1 0 0 1 0 0 8 67% Ruhaama Kitwe 1 1 1 1 1 1 1 0 0 0 0 1 8 67% Rushenyi Rubaare 1 0 1 1 1 1 1 0 1 1 0 0 8 67% OYAM Oyam North Anyeke 1 0 0 0 0 0 0 0 0 1 1 1 4 33% PADER Aruu Pajule 1 0 1 0 1 1 1 0 0 0 0 1 6 50% PALLISA Butebo Butebo 1 1 1 1 0 1 1 0 0 1 1 0 8 67% Kibuku Kibuku 1 1 1 1 0 1 1 0 0 0 0 1 7 58% RAKAI Kakuuto Kakuuto 1 0 0 0 0 0 0 0 0 0 0 0 1 8% RUKUNGIRI Rubabo Kebisoni 1 0 1 1 1 1 1 0 0 0 0 0 6 50% Rujumbura Bugangari 1 0 1 1 1 1 1 0 0 0 0 0 6 50% SEMBABULE Lwemiyaga Ntuusi 1 1 1 1 1 1 1 0 1 0 0 1 9 75% Mawogola Sembabule 1 1 1 1 1 1 1 0 1 0 0 1 9 75% SOROTI Kasilo Apapai 1 0 1 1 0 1 1 0 0 0 0 0 5 42% Serere Serere 1 0 0 0 0 0 0 0 0 0 0 0 1 8% Soroti Tirir 1 0 0 0 0 0 0 0 0 0 0 0 1 8% Soroti Municipality Princes Diana 1 1 0 1 0 0 1 0 0 1 0 0 5 42%

District HSD IV HC OPD Dental ART HCT IPD Deliveries PMTCT C/S Major Operations Minor Operations Blood Transfusion LTFP Total Services Available service % Key Provided TORORO Tororo County Mulkuju 1 1 1 1 1 1 1 0 0 1 0 1 9 75% West Budama North Nagongera 1 1 0 1 1 1 1 0 1 1 0 1 9 75% West Budama south Mulanda 1 0 1 1 1 1 1 0 1 1 0 1 9 75% WAKISO Busiro East Wakiso 1 1 1 1 1 1 1 0 0 0 0 1 8 67% Busiro North Namayumba 1 1 1 1 1 1 1 0 0 1 0 1 9 75% Kyaddondo East Kasangati 1 1 0 1 1 0 1 0 0 1 0 1 7 58% Kyaddondo North Buwambo 1 1 1 1 1 1 1 0 0 0 0 0 7 58% YUMBE Aringa Midigo 1 1 1 1 1 1 1 1 1 1 0 1 11 92% National Total 134 87 96 116 90 114 116 20 33 68 25 63 7 60% Key: 0(Service not available), 1(Service available) Source: Ministry of Health/Resource Centre

61 APPENDIX II: SELECTED SERVICE OUTPUTS FOR HC IVS IN FY 2008/09

BOR

ALOS

Unit

HSD

OPD ART erations

Total

Blood

Minor Minor

Major

Dental

HC IV

Clients

District

Sections

PMTCT

Inpatients

Caesarians

Patients on

Operations Op

Admissions

attendances

Attendances

Deliveries in

HCT Clients

Transfusions 10 AMOLATAR Kiboga Amolatar 21211 0 93 3046 1606 514 2841 0 0 65 0 2200 6 2 Amuria Amuria 46672 192 72 6784 53720 858 661 0 31 12 1 4806 89 3 AMURIA Kapelebyon AMURIA Kapelebyong g 30461 0 56 1366 31883 0 1590 0 0 0 0 1260 19 1 33 AMURU Kilak Kilak 29688 0 2555 0 364 650 0 0 196 0 0 11192 0 3 APAC Kole Aboke 12510 35 143 1421 0 0 961 16 5 426 4 816 13 3 APAC Kwania Aduku 16716 63 318 5404 0 0 1712 1 22 13 144 1299 28 2 Arua Municipality Oli 35147 0 0 951 1211 103 0 0 0 0 0 2293 42 3 ARUA Ayivu Adumi 30777 0 0 217 4496 0 0 0 0 130 0 706 25 4 ARUA Rhino ARUA Lower Madi Camp 72815 1236 0 968 0 3197 266 2 0 0 0 1111 37 3 18 BUDAKA Budaka Budaka 26393 49 68 8633 14774 2633 148 0 4 6 0 14774 6 1 BUDUDA Manjiya Manjiya 183578 3184 98 7655 0 1800 5709 109 78 326 496 8812 79 3 11 BUGIRI Buyinja Buyinja 10910 50 121 1179 0 430 886 0 0 0 0 3210 8 3 BUGIRI Nankoma Nankoma 14653 678 0 2325 1470 370 422 0 0 0 0 1436 33 2 BUKWO Kongasis Bukwo 13000 120 25 974 2107 271 230 25 31 151 0 2107 49 4 Buhweju Nsiika 10967 128 6 521 345 274 274 0 0 72 0 719 16 2 BUSHENYI Bunyaruguru Rugazi 0 30 40 2585 3522 1155 1155 9 0 268 20 3522 49 2 BUSHENYI Kyabugimb BUSHENYI Igara East i 23798 139 0 4235 1036 411 411 0 0 0 0 1036 27 2 BUSHENYI Ruhinda Mitooma 29231 8742 0 649 2593 829 968 0 64 79 26 2529 63 3 BUSHENYI Sheema BUSHENYI North Kabwoohe 21813 7 30 6500 1471 1051 1535 127 0 265 182 2719 75 3

BOR

ALOS

Unit

HSD

OPD ART erations

Total

Blood

Minor Minor

Major

Dental

HC IV

Clients

District

Sections

PMTCT

Inpatients

Caesarians

Patients on

Operations Op

Admissions

attendances

Attendances

Deliveries in

HCT Clients

Transfusions Sheema South Shuuku 18404 1428 0 732 946 304 304 0 0 805 0 946 24 2 Samia Bugwe BUSIA North Busia 37758 261 23 2260 0 989 70 0 0 0 0 3319 52 1 Aswa Awach 20689 328 72 178 1474 477 491 0 0 0 0 1474 33 2 GULU 10 GULU Omoro Lalogi 48792 660 168 1987 3180 504 768 0 0 0 0 3540 7 4 IBANDA Ibanda North Ishongororo 0 0 0 0 0 0 0 0 0 0 0 0 0 0 IGANGA Bugweri Busesa 11253 994 75 2196 1219 0 2574 0 0 2129 0 1219 20 1 IGANGA Kigulu North Bugono 13497 0 35 1826 0 316 16 0 0 0 0 514 3 1 IGANGA Luuka Kiyunga 13069 0 119 4665 3691 457 35 2 3 0 0 1430 43 3 Bukanga Rwekubo 10451 0 0 841 130 84 603 0 0 0 0 130 18 6 Isingiro Nyamuyanj ISINGIRO North a 16027 134 0 1195 138 271 919 0 0 20 0 0 0 0 ISINGIRO Isingiro 13 ISINGIRO South Kabuyanda 24403 1408 90 3080 2896 1085 2319 97 61 1366 0 3714 1 3 Butembe Bugembe 14919 811 135 1595 2388 1346 2727 0 0 55 0 2388 45 2 Jinja Municipal East Walukuba 17950 613 52 1942 0 386 1145 0 0 0 0 504 29 1 JINJA Jinja JINJA Municipal JINJA West Mpumudde 24088 197 78 1425 595 512 1253 0 0 0 0 595 17 1 JINJA Kagoma Buwenge 22389 451 259 5355 2847 568 1453 0 0 17 0 2847 64 3 JINJA Kiira Budono 12262 825 84 995 1180 499 1035 0 0 0 0 2847 64 3 Dodoth KAABONG North Karenga 14799 0 14 1113 151 151 0 0 0 4 0 1113 54 3 KABALE Kabale KABALE Munipality Kamukira 15105 0 0 1125 0 3 67 0 0 0 0 3 0 0

BOR

ALOS

Unit

HSD

OPD ART erations

Total

Blood

Minor Minor

Major

Dental

HC IV

Clients

District

Sections

PMTCT

Inpatients

Caesarians

Patients on

Operations Op

Admissions

attendances

Attendances

Deliveries in

HCT Clients

Transfusions KABALE Ndorwa East Maziba 17360 1717 47 2632 935 165 1259 0 0 0 0 935 29 4 KABALE Ndorwa KABALE West Rubaya 17977 669 40 2268 622 184 1078 0 0 0 0 622 32 4 KABALE Rubanda KABALE East Hamurwa 32344 0 0 3081 0 226 1816 0 0 0 0 1023 27 2 Rubanda West Muko 20420 477 90 1272 1252 218 897 0 0 0 0 1186 37 3 Rukiga North Mparo 16920 600 120 1252 18892 230 729 0 0 3 0 633 15 2 Rukiga South Kamwezi 28756 558 206 1791 1490 346 662 0 34 831 0 1490 24 2 Burahya Bukuku 57717 139 50 3097 662 532 0 0 179 0 0 662 62 2 KABAROLE Fort Portal KABAROLE Municipality Kataraka 0 0 0 0 0 0 0 0 0 0 0 0 0 0 KALANGALA Bujumba Kalangala 15406 1087 192 0 470 143 37 0 0 0 0 527 0 0 KALANGALA Kyamuswa Bukasa 6653 203 0 0 0 26 29 0 0 0 0 0 0 0 KALIRO Bulamogi Bumanya 22132 1633 71 2200 1250 301 1710 0 0 0 0 1362 1 0 Kawempe KAMPALA South Kawempe 42917 0 45 11193 0 0 11825 0 0 0 0 0 0 0 Budiope Kidera 17819 801 0 939 1409 541 855 0 0 0 0 1409 17 1 KAMULI Bugabula Namwendw KAMULI South a 18091 719 0 93 1179 558 1528 0 0 0 0 2075 30 2 KAMULI Buzaaya Nankandulo 12161 209 0 364 1066 432 364 0 0 0 0 1066 16 2 KAMWENGE Ntara Ntara 12427 0 146 5226 1321 485 40 0 0 24 99 1321 39 2 KAMWENGE Rukunyu Rukunyu 20940 226 498 3731 2570 322 23 0 0 37 190 2570 54 3 KANUNGU Kinkizi East Kanungu 13347 0 0 775 0 0 810 0 0 0 0 900 15 1 KANUNGU Kinkizi West Kihihi 20510 124 515 5738 0 0 2637 0 15 178 21 3072 4 4 Busongora KASESE North Rwesande 6198 80 0 0 2991 255 0 0 0 0 0 1749 47 5 KATAKWI Usuk Katakwi 41089 314 489 4561 7867 966 45 41 100 171 261 8479 10 2

BOR

ALOS

Unit

HSD

OPD ART erations

Total

Blood

Minor Minor

Major

Dental

HC IV

Clients

District

Sections

PMTCT

Inpatients

Caesarians

Patients on

Operations Op

Admissions

attendances

Attendances

Deliveries in

HCT Clients

Transfusions 0

Bbaale Bbaale 22388 274 334 6282 0 254 1248 0 0 459 0 1389 64 3 KAYUNGA Ntenjeru Kangulumir KAYUNGA South a 20899 444 358 4536 0 806 2218 0 0 504 0 997 19 2 Bugangaizi Kakindo 9080 212 38 4195 907 422 1327 0 0 103 19 907 26 2 KIBAALE St Ambrose KIBAALE Buyaga PNFP 0 0 0 0 1775 125 0 65 0 0 0 1775 1 0 KIBAALE Buyanga Kibaale 14955 0 27 1150 618 430 778 4 15 26 0 618 22 2 KIBAALE Buyanja Kakumiro 17154 1149 168 2318 369 378 15 0 0 74 0 811 22 4 KIBOGA Bukomero Bukomero 76853 0 85 10508 0 1344 82 9 252 819 0 3005 4 3 KIBOGA Ntwetwe Ntwetwe 49881 0 207 14041 2499 602 26 0 0 113 0 2499 32 21 Bufumbira East Chahafi 14260 0 0 0 1241 267 1270 0 0 60 0 764 6 2 Bufumbira KISORO North Busanza 14023 0 0 415 764 168 1116 0 0 0 0 526 27 3 KISORO Bufumbira KISORO North Rubuguri 14756 1261 0 680 1241 323 1152 0 3 931 0 1241 36 3 KITGUM Chua Namukora 0 0 0 0 0 0 0 0 0 0 0 838 7 2 KITGUM Lamwo Madi Opei 24866 0 85 2096 0 291 487 0 0 0 0 1321 33 2 KITGUM Lamwo Padipe 0 0 252 0 0 0 0 0 0 0 0 1855 71 4 KOBOKO Koboko Koboko 26338 26 207 2271 5196 1428 57 0 33 189 103 7864 43 2 16 KOTIDO Jie Kotido 24806 0 339 0 5187 533 5582 36 61 139 0 5187 4 3 KYENJOJO Kyarusozi Kyarusozi 16844 238 70 2339 0 188 26 0 0 32 0 1068 24 3 KYENJOJO Kyegegwa Kyegegwa 8504 98 57 752 596 407 26 51 5 236 115 596 0 0 KYENJOJO Kyenjojo Kyenjojo 27990 603 376 2902 0 820 72 0 0 680 17 1443 12 1 Erute North Ogur 20938 0 70 2959 0 478 118 0 0 16 0 497 11 2 LIRA Erute South Amach 17866 0 212 3190 0 478 51 0 3 1242 0 2021 50 4

BOR

ALOS

Unit

HSD

OPD ART erations

Total

Blood

Minor Minor

Major

Dental

HC IV

Clients

District

Sections

PMTCT

Inpatients

Caesarians

Patients on

Operations Op

Admissions

attendances

Attendances

Deliveries in

HCT Clients

Transfusions Lira Municipal Pag 23 Council Mission 27710 0 65 2739 0 336 92 0 0 474 914 4750 3 7 Moroto Alebtong 20032 0 189 5746 2526 465 89 0 0 1848 0 2531 63 6 Otuke Orum 22805 0 155 1949 598 413 79 0 0 0 0 598 14 3 Bamunanika Kalagala 13414 1720 45 1888 1386 482 49 1 14 257 0 1386 36 2 Katikamu North Luwero 27624 2948 44 3285 3209 1826 146 63 0 3384 0 4229 65 3 Katikamu LUWERO South Nyimbwa 10820 358 117 1217 1087 359 31 0 0 0 0 1087 37 2 BUGOBER MANAFWA Bubulo West O 275148 0 75 1390 0 0 0 0 0 0 0 9421 0 3

MARACHA 13 /TEREGO Terego Omugo 160730 56 0 1758 6144 2115 7166 0 234 115 0 6144 7 4 Bukomansim bi Butenga 18500 756 607 286 0 92 16 0 0 0 0 21 0 0 Bukoto Kyannamuk Central aaka 11729 0 40 670 143 82 0 0 0 0 0 143 0 0 Bukoto East Kiyumba 15298 138 69 2143 95 185 0 0 0 46 3 313 11 1 Bukoto Midwest Lwengo 16780 327 0 0 254 142 15 0 0 0 20 481 0 0 Bukoto South Kiwangala 167433 4042 137 2100 1528 354 132 0 0 3245 1 1011 14 3 Kalungu East Bukulula 17617 1000 214 3767 0 175 117 0 0 0 0 336 24 2 Kalungu Kyamulibw MASAKA West a 5361 660 0 1007 1568 125 190 125 2 33 730 0 0 0 MASINDI Bujenje Bwijanga 14699 2860 18 0 621 277 18 0 0 0 0 680 27 2 Bungokho MBALE North Bufumbo 20854 0 0 3180 2752 247 1211 0 5 34 0 2752 0 0

BOR

ALOS

Unit

HSD

OPD ART erations

Total

Blood

Minor Minor

Major

Dental

HC IV

Clients

District

Sections

PMTCT

Inpatients

Caesarians

Patients on

Operations Op

Admissions

attendances

Attendances

Deliveries in

HCT Clients

Transfusions Kashari Bwizibwera 15612 191 966 763 0 692 1950 0 0 0 0 1515 46 3 Rwampara Bugamba 11644 0 52 832 50 127 1062 0 0 12 0 195 10 2 MBARARA Rwampara Kinoni 11571 223 15 748 0 324 580 0 0 0 12 1209 27 2 Mityana North Kyantungo 9233 331 217 3172 235 206 408 0 0 0 0 235 17 3 Mwera/ MITYANA Busujju Mwera 9494 847 95 920 460 182 482 0 0 11 0 460 12 3 MOYO Obongi Obongi 15554 224 0 1204 1675 285 35 0 18 85 0 1660 43 3 Gomba Muddu 19511 339 223 3904 0 292 1596 0 0 0 0 623 21 4 MPIGI Mawokota Mpigi 14362 572 1146 4753 2811 1038 2203 99 88 91 122 2811 30 2 MUBENDE Kasuanda Kiganda 11675 2525 0 2032 0 0 15 0 0 0 0 205 0 0 NAKAPIRIPIR Chekwi& Tokora & IT Pian Nabilatuk 110461 0 27 2582 520 386 14 0 0 31 0 520 13 6 Nakaseke Semuto 23212 1566 706 1004 1630 394 18 0 0 0 0 1639 42 2 NAKASEKE Ngoma Ngoma 24457 233 0 316 782 112 246 0 0 0 0 273 6 2 NAKASONGO Nakasongol LA Nakasongola a 19254 641 72 2752 0 548 1018 0 0 763 155 2724 70 4 NAMUTUMB A Busiki Nsinze 20989 0 21 11534 0 342 18 0 0 24 0 3027 6 0 Rwashamai Kajara re 10246 826 75 6224 901 1194 1110 0 0 409 0 2736 40 2 10 Ruhaama Kitwe 18612 277 171 4399 23459 1038 120 0 0 0 0 3881 8 3 NTUNGAMO Rushenyi Rubaare 15403 0 121 2873 4457 1057 105 0 137 20 0 2857 0 0 13 OYAM Oyam North Anyeke 0 0 0 0 0 0 0 0 0 62 10 3910 5 5 PADER Aruu Pajule 22100 0 278 0 782 93 1338 0 0 0 0 965 0 0 Butebo Butebo 26673 1469 32 3155 0 506 29 0 0 195 94 1509 91 3 30 PALLISA Kibuku Kibuku 19786 148 3282 2883 0 447 489 0 0 0 0 2283 9 8 RAKAI Kakuuto Kakuuto 0 0 0 0 0 0 0 0 0 0 0 0 0 0

BOR

ALOS

Unit

HSD

OPD ART erations

Total

Blood

Minor Minor

Major

Dental

HC IV

Clients

District

Sections

PMTCT

Inpatients

Caesarians

Patients on

Operations Op

Admissions

attendances

Attendances

Deliveries in

HCT Clients

Transfusions Rubabo Kebisoni 36415 0 4 5132 117 1650 1764 0 0 0 0 1994 16 2 RUKUNGIRI Rujumbura Bugangari 61870 0 11 7033 1944 914 2626 0 0 0 0 648 16 3 Lwemiyaga Ntuusi 8325 5 7 604 639 258 699 0 7 0 0 639 46 3 SEMBABULE Mawogola Sembabule 13694 1430 64 1944 697 304 1133 0 45 0 0 697 25 3 Kasilo Apapai 91536 0 404 404 0 1842 3656 0 0 0 0 4201 35 2 Serere Serere 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Soroti Tirir 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Soroti Princes SOROTI Municipality Diana 17887 507 0 1649 0 0 902 0 0 309 0 2206 55 5 Tororo 15 County Mulkuju 21578 76 85 4049 2962 527 32 0 0 168 0 3181 0 5 West Budama North Nagongera 25452 2776 0 1320 2714 553 2106 0 12 3402 0 2851 27 2 West Budama TORORO south Mulanda 31229 0 22 2991 3609 494 2419 0 17 64 0 3291 68 2 Busiro East Wakiso 39292 3538 54 981 1976 1385 2790 0 0 0 0 1976 43 2 Namayumb Busiro North a 16161 1590 50 735 425 345 2129 0 0 56 0 524 9 1 Kyaddondo 11 East Kasangati 7087 3500 0 1122 1188 0 1679 0 0 544 0 1188 0 3 Kyaddondo WAKISO North Buwambo 22798 1792 187 1625 1625 426 967 0 0 0 0 402 8 2 YUMBE Aringa Midigo 26825 64 115 1054 4082 686 1199 6 8 396 0 3054 50 4 Total 3,526,332 77,179 20,500 318,588 287,453 64,492 123,831 888 1,782 29,154 3,759 259,405 34 3 Average 26,316 887 214 2,746 3,194 566 1,068 44 54 429 150 2,882 34 3 No. of HC IVs reporting 134 87 96 116 90 114 116 20 33 68 25 90 90 90 Source: Ministry of Health/Resource Centre

68 APPENDIX III: AVAILABILITY AND FUNCTIONALITY OF INFRASTRUCTURE AT HC IV LEVEL FOR FY 2008/09

al Ward

No. District HSD HC IV OPD Gener Maternity Ward Staff houses Kitchen Placenta pit Waste pit Latrine/Toilet Bathroom Transport Laboratory Theatre Theatre equipment Water Source Light source Surgical Ward 1 AMOLATAR Kiboga Amolatar 2 2 2 2 0 2 2 2 0 1 2 1 1 2 2 0 2 AMURIA Amuria Amuria 2 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 Kapelebyong Kapelebyong 2 2 2 2 2 2 2 2 2 2 2 2 0 2 0 2 3 AMURU Kilak Kilak 2 2 2 2 2 2 2 2 2 2 2 0 0 2 2 0 4 APAC Kole Aboke 2 0 2 2 2 2 2 2 2 2 2 1 0 2 0 0 Kwania Aduku 2 2 2 2 2 1 2 2 2 2 2 2 2 2 2 0 7 ARUA Lower Madi Rhino Camp 2 2 2 2 2 1 2 2 2 2 2 1 0 2 2 0 8 ARUA Arua Municipality Oli 2 2 0 2 0 1 2 2 2 0 2 1 2 2 2 0 9 ARUA Ayivu Adumi 2 2 2 2 2 2 2 1 0 2 2 2 2 2 0 1 10 BUDAKA Budaka Budaka 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 11 BUDUDA Manjiya Manjiya 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 12 BUGIRI Buyinja Buyinja 2 0 2 2 0 2 2 2 0 1 2 2 2 2 2 1 13 BUGIRI Nankoma Nankoma 2 2 2 2 0 2 2 2 2 2 2 1 2 2 2 0 14 BUKWO Kongasis Bukwo 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 15 BUSHENYI Bunyaruguru Rugazi 2 0 2 2 2 2 0 2 2 2 2 2 2 2 2 0 16 BUSHENYI Sheema South Shuuku 2 2 2 2 2 2 2 2 2 2 2 0 2 2 2 2 17 BUSHENYI Sheema North Kabwoohe 2 2 2 2 2 2 0 2 2 2 2 2 2 2 2 1 18 BUSHENYI Igara East Kyabugimbi 2 2 2 2 0 2 2 2 0 2 2 1 1 2 2 0 19 BUSHENYI Buhweju Nsiika 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 20 BUSHENYI Ruhinda Mitooma 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 21 BUSIA Samia Bugwe Busia 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 North 22 GULU Aswa Awach 2 2 2 2 0 2 2 2 0 2 2 0 0 2 2 0 23 GULU Omoro Lalogi 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 24 IBANDA Ibanda North Ishongororo 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 0 25 IGANGA Kigulu North Bugono 2 2 2 2 2 2 2 2 2 2 2 1 0 2 2 2 26 IGANGA Bugweri Busesa 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 0 27 IGANGA Luuka Kiyunga 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 28 ISINGIRO Bukanga Rwekubo 2 1 2 2 2 2 2 2 2 2 2 0 1 2 0 0 29 ISINGIRO Isingiro South Kabuyanda 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 0 30 ISINGIRO Isingiro North Nyamuyanja 2 0 0 2 2 2 2 2 2 2 2 0 1 1 2 0 31 JINJA Butembe Bugembe 2 2 2 2 0 2 2 2 1 2 2 1 0 2 2 0 32 JINJA Kagoma Buwenge 2 2 2 2 0 2 2 2 0 2 2 0 1 2 2 0 33 JINJA Kiira Budono 2 2 2 2 0 2 2 2 0 0 2 0 0 2 2 0 34 JINJA Jinja Municipal Walukuba 2 1 2 2 0 2 2 2 2 2 2 1 0 2 2 0 East 35 JINJA Jinja Municipal Mpumudde 2 2 2 2 0 2 2 2 1 2 2 2 0 2 2 0 West 36 KAABONG Dodoth North Karenga 2 2 2 2 2 2 2 2 2 0 2 0 0 2 2 0 37 KABALE Rubanda East Hamurwa 2 0 2 0 0 2 0 2 0 2 2 0 0 2 0 0 38 KABALE Rukiga North Mparo 2 2 2 2 2 2 2 2 0 2 2 2 1 2 2 0 39 KABALE Ndorwa East Maziba 2 2 2 2 2 2 2 2 2 2 2 1 1 2 0 0 40 KABALE Ndorwa West Rubaya 2 2 2 2 1 2 2 2 2 2 2 1 1 2 2 0

al Ward

No. District HSD HC IV OPD Gener Maternity Ward Staff houses Kitchen Placenta pit Waste pit Latrine/Toilet Bathroom Transport Laboratory Theatre Theatre equipment Water Source Light source Surgical Ward 41 KABALE Kabale Kamukira 2 0 0 0 0 2 2 2 2 0 2 1 0 2 2 0 Munipality 42 KABALE Rukiga South Kamwezi 2 2 2 2 2 0 2 1 0 2 2 1 2 2 2 0 43 KABALE Rubanda West Muko 2 2 2 2 2 2 2 2 0 2 2 1 2 2 2 0 44 KABAROLE Burahya Bukuku 2 0 2 2 0 2 2 2 0 2 2 2 2 2 2 0 45 KABAROLE Fort Portal Kataraka 2 0 0 0 0 0 2 2 0 0 2 0 0 2 2 0 Municipality 46 KALANGAL Kyamuswa Bukasa 2 2 2 2 0 0 0 2 0 0 2 1 1 0 2 0 A 47 KALANGAL Bujumba Kalangala 2 2 2 2 0 2 2 2 0 1 2 1 1 2 1 0 A 48 KALIRO Bulamogi Bumanya 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 49 KAMPALA Kawempe South Kawempe 2 0 2 0 0 2 1 2 2 2 2 1 0 2 2 0 50 KAMULI Bugabula South Namwendwa 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 1 51 KAMULI Budiope Kidera 2 2 2 2 2 2 2 2 2 2 2 1 1 2 2 0 52 KAMULI Buzaaya Nankandulo 2 2 2 2 2 2 2 2 2 2 2 1 1 2 2 2 53 KAMWENGE Ntara Ntara 2 2 2 2 0 2 2 2 2 2 2 1 2 2 2 0 54 KAMWENGE Rukunyu Rukunyu 2 2 2 2 2 2 2 2 2 2 2 1 2 1 1 2 55 KANUNGU Kinkizi West Kihihi 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 0 56 KANUNGU Kinkizi East Kanungu 2 2 2 2 2 2 2 2 0 0 2 0 0 2 2 0 57 KASESE Busongora North Rwesande 2 2 2 2 2 2 2 2 2 1 2 2 2 2 2 2 58 KATAKWI Usuk Katakwi 2 2 2 2 0 2 0 2 2 2 2 2 2 2 2 0 59 KAYUNGA Ntenjeru South Kangulumira 2 2 2 2 0 2 2 2 0 2 2 2 0 2 2 0 60 KAYUNGA Bbaale Bbaale 2 2 2 2 0 2 2 2 2 2 2 2 2 0 2 0 61 KIBAALE Buyaga St Ambrose 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 PNFP 62 KIBAALE Buyanja Kakumiro 2 2 2 2 2 2 2 2 1 0 2 1 0 2 2 0 63 KIBAALE Buyanga Kibaale 2 2 2 2 2 2 2 2 2 1 2 2 2 2 2 0 64 KIBAALE Bugangaizi Kakindo 2 2 2 2 2 2 2 2 2 1 2 1 0 2 1 0 65 KIBOGA Ntwetwe Ntwetwe 2 2 2 2 2 2 2 2 2 2 2 1 0 0 2 0 66 KIBOGA Bukomero Bukomero 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 0 67 KISORO Bufumbira North Busanza 2 2 2 2 2 2 2 2 2 2 2 0 0 2 2 0 68 KISORO Bufumbira East Chahafi 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 69 KISORO Bufumbira North Rubuguri 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 70 KITGUM Chua Namukora 2 2 2 2 2 2 2 2 2 2 2 2 0 2 2 0 71 KITGUM Lamwo Madi Opei 2 2 2 1 1 2 2 2 2 2 2 1 1 2 1 0 72 KITGUM Lamwo Padipe 2 2 2 2 2 2 2 2 2 2 2 1 1 2 2 0 73 KOBOKO Koboko Koboko 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 2 74 KOTIDO Jie Kotido 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 0 75 KYENJOJO Kyarusozi Kyarusozi 2 0 2 2 2 2 2 2 2 2 2 0 0 2 2 0 76 KYENJOJO Kyegegwa Kyegegwa 2 0 2 2 2 2 2 2 2 2 2 2 2 1 2 0 77 KYENJOJO Kyenjojo Kyenjojo 2 0 2 2 2 2 2 2 2 2 2 2 2 2 2 0 78 LIRA Erute North Ogur 2 2 2 2 2 2 0 2 2 2 2 1 1 2 2 0 79 LIRA Erute South Amach 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 0 80 LIRA Moroto Alebtong 2 2 2 2 2 2 2 2 2 2 2 0 2 2 2 0 81 LIRA Otuke Orum 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 82 LIRA Lira Municipal Pag Mission 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 2 Council

al Ward

No. District HSD HC IV OPD Gener Maternity Ward Staff houses Kitchen Placenta pit Waste pit Latrine/Toilet Bathroom Transport Laboratory Theatre Theatre equipment Water Source Light source Surgical Ward 83 LUWERO Katikamu South Nyimbwa 2 2 2 2 2 2 2 2 2 2 2 1 2 2 1 0 84 LUWERO Bamunanika Kalagala 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 0 85 LUWERO Katikamu North Luwero 2 2 2 2 2 2 2 2 0 1 2 2 2 2 2 2 86 MANAFWA Bubulo West BUGOBERO 2 2 2 2 2 2 2 2 2 2 2 2 1 2 0 0 87 MARACHA Terego Omugo 2 2 2 2 2 1 2 2 2 2 2 1 0 2 2 0 /TEREGO 88 MASAKA Bukoto Central Kyannamukaaka 2 2 2 2 0 2 2 2 2 2 2 1 1 2 2 0 89 MASAKA Bukoto East Kiyumba 2 2 1 1 1 2 2 2 2 2 2 2 2 2 2 1 90 MASAKA Bukoto South Kiwangala 2 1 2 2 2 2 2 2 2 2 2 1 1 2 2 0 91 MASAKA Bukomansimbi Butenga 2 2 2 2 2 2 2 2 2 2 2 2 0 2 2 0 92 MASAKA Bukoto Midwest Lwengo 2 2 2 2 0 2 0 2 2 2 2 1 0 1 0 0 93 MASAKA Kalungu East Bukulula 2 2 2 2 0 2 2 2 2 0 2 1 0 0 2 0 94 MASAKA Kalungu West Kyamulibwa 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 95 MASINDI Bujenje Bwijanga 2 2 2 2 0 2 2 2 0 2 2 1 1 2 2 0 96 MBALE Bungokho North Bufumbo 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 97 MBARARA Kashari Bwizibwera 2 2 2 2 2 2 2 2 2 2 2 1 1 2 2 0 98 MBARARA Rwampara Bugamba 2 2 2 2 2 2 2 2 2 2 2 1 0 1 2 2 99 MBARARA Rwampara Kinoni 2 2 2 2 1 2 2 2 2 2 2 2 2 2 2 0 100 MITYANA Mityana North Kyantungo 2 1 1 2 0 2 2 2 0 2 2 1 1 1 2 0 101 MITYANA Mwera/ Busujju Mwera 2 2 2 1 0 2 2 1 0 0 2 1 2 2 2 0 102 MOYO Obongi Obongi 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 2 103 MPIGI Mawokota Mpigi 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 104 MPIGI Gomba Muddu 2 2 2 2 2 2 2 2 0 2 2 1 1 2 2 0 105 MUBENDE Kasuanda Kiganda 2 2 2 2 2 2 2 2 2 2 2 1 1 2 2 0 106 NAKAPIRIPI Chekwi& Pian Tokora & 2 2 2 2 1 1 2 2 2 2 2 2 2 2 2 0 RIT Nabilatuk 107 NAKASEKE Ngoma Ngoma 2 2 2 2 2 2 2 2 2 2 2 1 1 2 2 0 108 NAKASEKE Nakaseke Semuto 2 2 2 2 2 2 0 2 2 0 2 1 0 2 2 0 109 NAKASONG Nakasongola Nakasongola 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 2 OLA 110 NAMUTUMB Busiki Nsinze 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 0 A 111 NTUNGAMO Ruhaama Kitwe 2 2 2 2 2 2 2 2 0 2 2 1 2 2 2 0 112 NTUNGAMO Rushenyi Rubaare 2 2 2 2 2 2 2 1 2 2 2 1 2 2 2 0 113 NTUNGAMO Kajara Rwashamaire 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 114 OYAM Oyam North Anyeke 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 2 115 PADER Aruu Pajule 2 0 1 2 2 2 1 2 2 1 2 1 0 1 1 0 116 PALLISA Kibuku Kibuku 2 2 1 2 0 2 2 2 2 2 2 2 2 0 2 0 117 PALLISA Butebo Butebo 2 2 2 2 0 2 2 2 2 1 2 1 1 1 2 0 118 RAKAI Kakuuto Kakuuto 2 2 119 RUKUNGIRI Rujumbura Bugangari 2 0 2 2 0 2 2 2 0 2 2 1 1 0 2 0 120 RUKUNGIRI Rubabo Kebisoni 2 2 1 2 0 2 2 2 0 2 2 1 0 2 2 1 121 SEMBABULE Mawogola Sembabule 2 2 2 2 2 2 2 2 0 2 2 2 2 2 2 2 122 SEMBABULE Lwemiyaga Ntuusi 2 2 2 2 2 2 2 2 0 2 2 2 2 2 2 2 123 SOROTI Soroti Tirir 2 2 124 SOROTI Soroti Princes Diana 2 0 2 2 2 2 2 2 2 2 2 2 1 2 1 0 Municipality

al Ward

No. District HSD HC IV OPD Gener Maternity Ward Staff houses Kitchen Placenta pit Waste pit Latrine/Toilet Bathroom Transport Laboratory Theatre Theatre equipment Water Source Light source Surgical Ward 125 SOROTI Serere Serere 2 2 2 2 1 2 2 2 2 2 2 1 1 2 2 0 126 SOROTI Kasilo Apapai 2 2 2 2 2 2 2 2 2 2 2 1 1 2 2 0 127 TORORO Tororo County Mulkuju 2 2 2 2 0 2 2 2 0 2 2 1 2 2 2 0 128 TORORO West Budama Mulanda 2 2 2 2 0 2 2 2 0 2 2 2 2 0 2 0 south 129 TORORO West Budama Nagongera 2 2 2 2 1 2 2 2 2 2 2 0 0 2 2 0 North 130 WAKISO Kyaddondo East Kasangati 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 0 131 WAKISO Busiro North Namayumba 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 0 132 WAKISO Kyaddondo North Buwambo 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 0 133 WAKISO Busiro East Wakiso 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 0 134 YUMBE Aringa Midigo 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 National 134 113 123 125 77 124 122 128 100 112 134 61 70 117 117 19 Total Key: Infrastructure availability (0-Not available/not completed, 1-Completed but not functional, 2-Completed and functional) Source: Ministry of Health/Resource Centre

72 APPENDIX IV: THE DISTRICT LEAGUE TABLE FOR FY 2008/09

ed ed

urns submitted timely

District

%District HMIS Outpatient%District ret 3% children received <1 doses ofaccording to DPT schedule and TotalPNFP OPD Govt per utilization person per year Pit Latrine Coverage in and % Deliveries Govt PNFP facilities health ofProportion smearnew notifi positive cases TB compared to expected % receivingPregnant women for2nd doseIPT Fansidar ofProportion PHP funds and spent drugs(at onNMS JMS) % disbursedPHP fundsthat are expended FDS Gain Flexibility Service HIV/AIDS Availability* TotalScore Ranking

12. 12.

5 5 5 7.5 12.5 10 10 10 5 5 10 100

Max Score

Ranking Population No. HSDs of ofUnitsTotal Health No. % Score % Score Score % Score % Score Score % Score % Score % Score Score % Score 135 12. 12. 1 KAMPALA 1,510,186 5 200 100% 5 % 5 1.0 5 94% 7 101% 12.5 199% 10 37% 4 28% 3 100% 5 0.0 2.5 87% 9 82.2 1 LYANTON 97 12. 12. 2 DE 74,168 1 19 67% 3 % 1 2.2 5 80% 6 71% 8.9 101% 10 49% 5 60% 6 100% 5 0.0 2.5 77% 8 79.1 2 79 12. 3 JINJA 454,818 5 67 83% 4 % 9.8 1.1 5 88% 7 55% 6.9 77% 8 50% 5 113% 10 69% 3 0.0 2.5 89% 9 77.5 3 95 11. 12. 100 4 MITYANA 291,392 3 52 100% 5 % 9 1.3 5 76% 6 40% 5.0 83% 8 48% 5 65% 7 100% 5 0.0 2.5 % 10 77.3 4 88 11. 12. 5 TORORO 443,508 4 57 100% 5 % 0 1.1 5 84% 6 29% 3.7 75% 8 52% 5 93% 9 90% 5 0.0 2.5 97% 10 77.2 5 86 10. 12. 6 LIRA 636,200 5 43 100% 5 % 7 1.0 2 62% 5 29% 3.6 87% 9 51% 5 111% 10 92% 5 0.0 2.5 98% 10 76.9 6 93 11. 12. 7 GULU 357,432 3 51 50% 3 % 6 1.7 5 36% 3 66% 8.2 165% 10 44% 4 95% 10 100% 5 0.0 2.5 73% 7 76.2 7 83 10. 12. 8 MBARARA 410,503 3 53 75% 4 % 4 1.0 5 91% 7 49% 6.2 95% 10 30% 3 61% 6 112% 5 0.0 2.5 98% 10 75.5 8 91 11. 10. 100 9 MASAKA 809,916 9 80 92% 5 % 4 0.8 0 95% 7 31% 3.9 76% 8 33% 3 122% 10 100% 5 0.0 2.5 % 10 75.4 9 97 12. 10. 10 BUSHENYI 825,868 7 110 100% 5 % 2 0.9 9 91% 7 30% 3.7 58% 6 44% 4 95% 9 99% 5 0.0 2.5 95% 9 75.2 10 RUKUNGIR 91 11. 12. 11 I 301,023 4 65 75% 4 % 3 1.3 5 99% 7 54% 6.7 68% 7 43% 4 84% 8 98% 5 0.0 2.5 51% 5 73.8 11 94 11. 12. 12 BUTALEJA 195,640 1 23 100% 5 % 8 1.3 5 91% 7 39% 4.8 37% 4 53% 5 66% 7 100% 5 0.0 2.5 90% 9 73.0 12

ed ed

urns submitted timely

District

12. 12.

5 5 5 7.5 12.5 10 10 10 5 5 10 100

Max Score

Ranking Population No. HSDs of ofUnitsTotal Health No. % Score % Score Score % Score % Score Score % Score % Score % Score Score % Score 93 11. 12. 13 NEBBI 513,635 3 57 100% 5 % 7 1.0 5 78% 6 53% 6.7 43% 4 50% 5 100% 10 100% 5 0.0 2.5 37% 4 72.1 13 133 12. 12. 100 14 ABIM 53,476 1 18 17% 1 % 5 2.6 5 37% 3 43% 5.4 66% 7 48% 5 91% 9 97% 5 0.0 2.5 % 10 72.0 14 95 11. 12. 15 IBANDA 232,345 2 37 50% 3 % 9 1.1 5 89% 7 31% 3.9 66% 7 28% 3 107% 10 99% 5 0.0 2.5 71% 7 71.4 15 76 12. 16 RAKAI 449,869 3 92 92% 5 % 9.4 1.0 5 84% 6 28% 3.5 70% 7 47% 5 67% 7 88% 4 0.0 2.5 97% 10 71.3 16 98 12. 12. 17 KUMI 354,819 2 26 92% 5 % 3 1.1 5 56% 4 54% 6.8 32% 3 65% 6 92% 9 NR 0 0.0 2.5 95% 10 71.2 17 96 12. 10. 100 18 KATAKWI 153,706 1 18 100% 5 % 0 0.9 9 48% 4 29% 3.6 39% 4 44% 4 101% 10 97% 5 0.0 2.5 % 10 70.8 18 120 12. 10. 19 MPIGI 440,213 4 64 83% 4 % 5 0.9 9 58% 4 42% 5.2 72% 7 40% 4 61% 6 100% 5 0.0 2.5 86% 9 70.6 19 AMOLATA 122 12. 12. 100 20 R 114,939 1 10 83% 4 % 5 1.1 5 49% 4 21% 2.7 61% 6 30% 3 75% 7 113% 5 0.0 2.5 % 10 69.6 20 96 12. 12. 21 PALLISA 480,166 3 40 92% 5 % 0 1.1 5 66% 5 48% 6.0 28% 3 51% 5 61% 6 91% 5 0.0 2.5 83% 8 69.4 21 97 12. 12. 100 22 MBALE 397,252 3 40 75% 4 % 1 1.0 5 65% 5 48% 6.0 96% 10 26% 3 38% 4 31% 2 0.0 2.5 % 10 69.3 22 73 12. 23 KABALE 477,220 7 100 75% 4 % 9.2 1.3 5 91% 7 24% 3.0 28% 3 42% 4 100% 10 88% 4 0.0 2.5 97% 10 68.8 23 91 11. 10. 24 BUSIA 268,226 2 27 100% 5 % 4 0.8 3 74% 6 32% 4.0 29% 3 48% 5 127% 10 99% 5 0.0 2.5 68% 7 68.3 24 55 12. 25 NAKASEKE 169,490 2 21 100% 5 % 6.8 1.0 5 80% 6 48% 6.0 59% 6 55% 5 39% 4 95% 5 0.0 2.5 93% 9 68.2 25 75 12. 26 KITGUM 365,088 2 35 100% 5 % 9.3 1.1 5 32% 2 41% 5.1 47% 5 67% 7 58% 6 106% 5 0.0 2.5 82% 8 67.6 26

ed ed

urns submitted timely

District

12. 12.

5 5 5 7.5 12.5 10 10 10 5 5 10 100

Max Score

Ranking Population No. HSDs of ofUnitsTotal Health No. % Score % Score Score % Score % Score Score % Score % Score % Score Score % Score 102 12. 12. 26 ISINGIRO 378,279 3 52 58% 3 % 5 1.2 5 77% 6 26% 3.3 41% 4 51% 5 59% 6 107% 5 0.0 2.5 77% 8 67.6 26 71 28 MUKONO 937,733 7 77 100% 5 % 8.9 0.7 8.8 73% 5 37% 4.6 51% 5 52% 5 68% 7 95% 5 0.0 2.5 99% 10 66.9 28 92 11. 28 KIBOGA 300,616 2 40 100% 5 % 5 0.7 8.1 61% 5 30% 3.7 58% 6 51% 5 74% 7 95% 5 0.0 2.5 84% 8 66.9 28 NAKASON 88 11. 12. 30 GOLA 144,081 1 30 58% 3 % 0 1.2 5 73% 5 31% 3.9 35% 4 47% 5 97% 10 80% 4 0.0 2.5 56% 6 65.8 30 70 100 31 KANUNGU 232,348 2 46 92% 5 % 8.8 0.7 9.3 87% 7 33% 4.1 43% 4 36% 4 70% 7 100% 5 0.0 2.5 % 10 65.7 31 91 11. 31 WAKISO 1,186,654 7 99 100% 5 % 4 0.8 9.6 81% 6 28% 3.5 41% 4 42% 4 52% 5 100% 5 0.0 2.5 92% 9 65.7 31 National 85 10. 10. 67.5 Average 30,112,336 218 1749 78% 4 % 6 0.8 4 % 5 34% 4.2 57% 6 43% 4 61% 6 95% 5 0.0 2.5 83% 8 65.9 98 12. 100 33 BUKEDEA 160,896 1 11 100% 5 % 3 0.6 7.5 66% 5 45% 5.6 21% 2 56% 6 113% 10 NR 0 0.0 2.5 % 10 65.5 33 84 10. 10. 100 34 DOKOLO 162,039 1 13 75% 4 % 5 0.8 6 46% 3 22% 2.8 72% 7 59% 6 41% 4 92% 5 0.0 2.5 % 10 65.4 34 76 12. 35 PADER 450,093 2 55 83% 4 % 9.5 1.1 5 35% 3 27% 3.4 76% 8 48% 5 62% 6 95% 5 0.0 2.5 69% 7 64.9 35 84 10. 12. 36 KISORO 239,214 3 31 83% 4 % 5 1.3 5 70% 5 46% 5.7 20% 2 21% 2 101% 10 100% 5 0.0 2.5 45% 5 64.3 36 89 11. 37 KAYUNGA 331,503 3 23 100% 5 % 1 0.7 9.2 75% 6 29% 3.6 37% 4 36% 4 54% 5 95% 5 0.0 2.5 95% 10 64.0 37 142 12. 100 38 MANAFWA 325,493 2 22 83% 4 % 5 0.5 6.6 62% 5 20% 2.5 32% 3 45% 4 82% 8 116% 5 0.0 2.5 % 10 63.7 38 50 39 LUWERO 399,726 3 67 100% 5 % 6.3 0.7 8.3 78% 6 25% 3.2 72% 7 49% 5 53% 5 100% 5 0.0 2.5 93% 9 62.7 39

ed ed

urns submitted timely

District

12. 12.

5 5 5 7.5 12.5 10 10 10 5 5 10 100

Max Score

Ranking Population No. HSDs of ofUnitsTotal Health No. % Score % Score Score % Score % Score Score % Score % Score % Score Score % Score KAMWENG 121 12. 100 39 E 303,961 2 30 100% 5 % 5 0.8 9.4 74% 6 17% 2.1 52% 5 34% 3 23% 2 94% 5 0.0 2.5 % 10 62.7 39 143 12. 12. 41 BUDUDA 157,602 1 12 92% 5 % 5 1.0 5 58% 4 25% 3.1 40% 4 33% 3 55% 6 93% 5 0.0 2.5 56% 6 62.6 41 KABAROL 66 10. 100 41 E 389,575 3 53 8% 0 % 8.2 0.8 2 74% 6 25% 3.1 83% 8 62% 6 32% 3 99% 5 0.0 2.5 % 10 62.6 41 75 11. 41 MASINDI 560,130 3 51 58% 3 % 9.4 0.9 4 59% 4 26% 3.3 57% 6 69% 7 34% 3 90% 5 0.0 2.5 81% 8 62.6 41 KALANGA 78 12. 44 LA 53,307 2 11 92% 5 % 9.7 1.0 5 52% 4 10% 1.2 75% 8 28% 3 81% 8 112% 5 0.0 2.5 46% 5 62.5 44 78 12. 45 AMURU 210,383 2 35 58% 3 % 9.8 1.0 5 29% 2 29% 3.6 80% 8 44% 4 50% 5 115% 5 0.0 2.5 60% 6 61.8 45 107 12. 46 KOBOKO 193,461 1 10 100% 5 % 5 0.6 7.5 64% 5 25% 3.1 22% 2 NAMUTUM 84 10. 10. 47 BA 198,060 1 33 100% 5 % 5 0.9 8 64% 5 25% 3.1 24% 2 36% 4 81% 8 98% 5 0.0 2.5 48% 5 60.5 47 103 12. 48 OYAM 335,287 2 17 75% 4 % 5 0.5 6.6 66% 5 26% 3.3 75% 8 62% 6 7% 1 100% 5 0.0 2.5 70% 7 60.0 48 90 11. 10. 100 49 BUDAKA 161,649 1 15 50% 3 % 2 0.8 1 60% 5 34% 4.2 13% 1 36% 4 50% 5 95% 5 0.0 2.5 % 10 59.8 49 KAPCHOR 61 12. 50 WA 187,085 2 31 100% 5 % 7.6 1.2 5 56% 4 17% 2.2 21% 2 42% 4 88% 9 93% 5 0.0 2.5 57% 6 59.4 50 NTUNGAM 82 10. 51 O 439,054 3 36 92% 5 % 3 0.6 7.3 91% 7 28% 3.5 51% 5 21% 2 30% 3 88% 4 0.0 2.5 96% 10 59.3 51 115 12. 10. 52 SIRONKO 331,513 3 38 83% 4 % 5 0.8 1 62% 5 27% 3.3 37% 4 60% 6 18% 2 103% 5 0.0 2.5 53% 5 59.1 52 66 52 BUGIRI 560,499 3 71 100% 5 % 8.2 0.4 5.5 74% 6 15% 1.8 31% 3 50% 5 95% 10 116% 5 0.0 2.5 78% 8 59.1 52

ed ed

urns submitted timely

District

12. 12.

5 5 5 7.5 12.5 10 10 10 5 5 10 100

Max Score

Ranking Population No. HSDs of ofUnitsTotal Health No. % Score % Score Score % Score % Score Score % Score % Score % Score Score % Score 70 54 KYENJOJO 477,235 3 40 50% 3 % 8.8 0.7 8.2 62% 5 22% 2.8 47% 5 40% 4 96% 10 82% 4 0.0 2.5 71% 7 58.9 54 78 55 KASESE 658,397 4 88 42% 2 % 9.7 0.7 8.7 74% 6 29% 3.7 28% 3 40% 4 78% 8 100% 5 0.0 2.5 68% 7 58.6 55 89 11. 10. 55 KIRUHURA 265,451 2 8 100% 5 % 1 0.9 7 83% 6 12% 1.5 26% 3 26% 3 69% 7 NR 0 0.0 2.5 94% 9 58.6 55 SEMBABU 83 10. 100 57 LE 202,815 2 23 17% 1 % 4 0.7 8.1 57% 4 15% 1.9 50% 5 53% 5 44% 4 113% 5 0.0 2.5 % 10 57.8 57 BUNDIBUG 74 58 YO 291,609 3 28 75% 4 % 9.2 0.7 8.9 61% 5 30% 3.7 33% 3 49% 5 28% 3 100% 5 0.0 2.5 90% 9 57.6 58 70 10. 58 ARUA 499,525 4 44 58% 3 % 8.8 0.8 5 54% 4 32% 4.0 50% 5 67% 7 27% 3 105% 5 0.0 2.5 52% 5 57.6 58 78 11. 100 60 KOTIDO 188,076 1 18 67% 3 % 9.7 0.9 8 2% 0 13% 1.6 30% 3 51% 5 51% 5 100% 5 0.0 2.5 % 10 57.2 60 94 11. 12. 61 BUKWO 63,604 1 12 92% 5 % 7 1.1 5 60% 5 17% 2.1 22% 2 37% 4 0% 0 92% 5 0.0 2.5 88% 9 57.1 61 70 62 KAMULI 680,434 4 71 92% 5 % 8.8 0.6 8.0 78% 6 28% 3.5 30% 3 34% 3 61% 6 99% 5 0.0 2.5 58% 6 56.5 62 67 63 SOROTI 517,218 4 44 83% 4 % 8.4 0.6 6.9 55% 4 31% 3.9 37% 4 16% 2 67% 7 100% 5 0.0 2.5 93% 9 56.3 63 73 64 IGANGA 672,758 4 81 92% 5 % 9.1 0.5 5.8 64% 5 42% 5.3 26% 3 33% 3 41% 4 90% 4 0.0 2.5 89% 9 55.5 64 63 65 HOIMA 467,011 2 23 100% 5 % 7.8 0.7 9.3 72% 5 34% 4.3 53% 5 44% 4 21% 2 21% 1 0.0 2.5 77% 8 54.9 65 74 66 MUBENDE 535,722 3 56 100% 5 % 9.3 0.5 6.1 76% 6 16% 2.1 36% 4 43% 4 30% 3 100% 5 0.0 2.5 79% 8 54.5 66 88 11. 67 MOROTO 275,988 3 19 42% 2 % 0 0.7 8.2 10% 1 15% 1.8 53% 5 57% 6 60% 6 50% 3 0.0 2.5 81% 8 54.0 67

ed ed

urns submitted timely

District

12. 12.

5 5 5 7.5 12.5 10 10 10 5 5 10 100

Max Score

Ranking Population No. HSDs of ofUnitsTotal Health No. % Score % Score Score % Score % Score Score % Score % Score % Score Score % Score 71 68 AMURIA 310,900 2 23 75% 4 % 8.9 0.5 6.7 24% 2 19% 2.4 18% 2 52% 5 77% 8 85% 4 0.0 2.5 86% 9 53.6 68 67 69 APAC 515,497 3 39 75% 4 % 8.4 0.6 7.3 66% 5 27% 3.3 61% 6 23% 2 42% 4 0% 0 0.0 2.5 98% 10 52.8 69 86 10. 70 KALIRO 191,770 1 17 92% 5 % 7 0.5 6.6 81% 6 19% 2.3 26% 3 20% 2 30% 3 97% 5 0.0 2.5 73% 7 52.6 70 30 11. 71 MOYO 322,155 2 37 100% 5 % 3.8 0.9 7 73% 5 22% 2.8 19% 2 65% 6 34% 3 100% 5 0.0 2.5 35% 4 51.6 71 KABERAM 71 10. 72 AIDO 172,272 2 20 50% 3 % 8.9 0.8 6 48% 4 21% 2.6 29% 3 36% 4 68% 7 NR 0 0.0 2.5 75% 8 51.4 72 65 72 MAYUGE 406,658 3 38 75% 4 % 8.1 0.4 5.4 62% 5 19% 2.4 51% 5 45% 5 16% 2 81% 4 0.0 2.5 93% 9 51.4 72 38 74 ADJUMANI 305,621 1 32 42% 2 % 4.8 0.8 9.5 70% 5 21% 2.6 31% 3 47% 5 93% 9 99% 5 0.0 2.5 26% 3 51.4 74 65 75 KIBAALE 570,999 3 44 75% 4 % 8.1 0.5 5.8 65% 5 20% 2.5 59% 6 34% 3 50% 5 99% 5 0.0 2.5 30% 3 49.7 75 51 76 YUMBE 423,145 1 17 100% 5 % 6.4 0.5 6.2 75% 6 30% 3.8 10% 1 70% 7 48% 5 0% 0 0.0 2.5 70% 7 49.3 76 49 125 77 BULIISA 73,698 1 9 58% 3 % 6.2 0.4 5.3 49% 4 8% 1.0 36% 4 50% 5 35% 4 103% 5 0.0 2.5 % 10 48.8 77 NAKAPIRIP 56 78 IRIT 226,611 3 15 25% 1 % 7.0 0.7 9.0 1% 0 4% 0.6 32% 3 69% 7 21% 2 79% 4 0.0 2.5 87% 9 45.1 78 73 79 NYADRI 369,187 2 31 0% 0 % 9.1 0.7 9.2 57% 4 30% 3.8 20% 2 60% 6 NR 0 NR 0 0.0 2.5 57% 6 42.5 79 57 80 KAABONG 316,637 2 27 58% 3 % 7.2 0.6 6.9 2% 0 5% 0.6 6% 1 43% 4 46% 5 78% 4 0.0 2.5 75% 8 41.2 80 *Total number of health units reported by districts at the time of generation of the district league table. However these figures are being Up-dated by districts to reflect total functional health facilities by ownership (Govt, PNFP and Private)

78 APPENDIX V: TIMELINESS AND COMPLETENESS OF OUTPATIENT REPORTING 2008/09

District JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN Reports Total Total Total Total N Total on time reports T L No received Expect. Date for monthly Code 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th % T % C timely late not reports reports---> Aug Sept Oct Nov Dec Jan Feb Mar April May June July received Abim 77 L L L T L L L L L T L L 17% 100% 2 10 0 12 Adjumani 40 T T T T L L T L L L L L 42% 100% 5 7 0 12 Amolatar 68 T T N T T T T T T T L T 83% 92% 10 1 1 12 Amuria 66 T T T L L T T T T T T L 75% 100% 9 3 0 12 AMURU 73 L T T T N T T L T T L L 58% 92% 7 4 1 12 Apac 1 T T T T T L L T T L T T 75% 100% 9 3 0 12 Arua 2 T T T T T T L L L L L T 58% 100% 7 5 0 12 Budaka 70 T L L L L T L T L T T T 50% 100% 6 6 0 12 Bududa T T T T T T L T T T T T 92% 100% 11 1 0 12 Bugiri 41 T T T T T T T T T T T T 100% 100% 12 0 0 12 Bukedea T T T T T T T T T T T T 100% 100% 12 0 0 12 Bukwo 69 T T T T T T T T T T T L 92% 100% 11 1 0 12 Buliisa 75 T L T T T T T L T N N N 58% 75% 7 2 3 12 Bundibugyo 3 T T T L T L L T T T T T 75% 100% 9 3 0 12 Bushenyi 4 T T T T T T T T T T T T 100% 100% 12 0 0 12 Busia 42 T T T T T T T T T T T T 100% 100% 12 0 0 12 Butaleja 61 T T T T T T T T T T T T 100% 100% 12 0 0 12 Dokolo 71 T T T N T T L T N T T T 75% 83% 9 1 2 12 Gulu 5 L L T T L T T T L L L T 50% 100% 6 6 0 12 Hoima 6 T T T T T T T T T T T T 100% 100% 12 0 0 12 Ibanda 59 L T T L T L L T T L T N 50% 92% 6 5 1 12 Iganga 7 T T T T T T T T T T L T 92% 100% 11 1 0 12

79 District JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN Reports Total Total Total Total N Total on time reports T L No received Expect. Date for monthly Code 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th % T % C timely late not reports reports---> Aug Sept Oct Nov Dec Jan Feb Mar April May June July received Isingiro 62 T T L T T T L L T T L L 58% 100% 7 5 0 12 Jinja 8 T T T T T T T T T L L T 83% 100% 10 2 0 12 Kaabong 64 L L T T T T L T T L L T 58% 100% 7 5 0 12 Kabale 9 T T T T T L T T T N L T 75% 92% 9 2 1 12 Kabarole 10 N N N L T L L L L L L L 8% 75% 1 8 3 12 Kaberamaido 46 N N T T L T L L T T L T 50% 83% 6 4 2 12 Kalangala 11 T T T T T L T T T T T T 92% 100% 11 1 0 12 Kaliro 57 T N T T T T T T T T T T 92% 92% 11 0 1 12 Kampala 12 T T T T T T T T T T T T 100% 100% 12 0 0 12 Kamuli 13 T T T T T T T T T T T L 92% 100% 11 1 0 12 Kamwenge 47 T T T T T T T T T T T T 100% 100% 12 0 0 12 Kanungu 48 T T T T T T T N T T T T 92% 92% 11 0 1 12 Kapchorwa 14 T T T T T T T T T T T T 100% 100% 12 0 0 12 Kasese 15 T T T L L L L L T L L T 42% 100% 5 7 0 12 Katakwi 43 T T T T T T T T T T T T 100% 100% 12 0 0 12 Kayunga 49 T T T T T T T T T T T T 100% 100% 12 0 0 12 Kibaale 16 T T T T T T T L L L T T 75% 100% 9 3 0 12 Kiboga 17 T T T T T T T T T T T T 100% 100% 12 0 0 12 Kiruhura 60 T T T T T T T T T T T T 100% 100% 12 0 0 12 Kisoro 18 T T T T T T T T T L L T 83% 100% 10 2 0 12 Kitgum 19 T T T T T T T T T T T T 100% 100% 12 0 0 12 Koboko 65 T T T T T T T T T T T T 100% 100% 12 0 0 12 Kotido 20 T T T T T L T L L L T T 67% 100% 8 4 0 12 Kumi 21 T T T T L T T T T T T T 92% 100% 11 1 0 12 Kyenjojo 50 T L T T L L T L T T N N 50% 83% 6 4 2 12 Lira 22 T T T T T T T T T T T T 100% 100% 12 0 0 12

80 District JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN Reports Total Total Total Total N Total on time reports T L No received Expect. Date for monthly Code 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th % T % C timely late not reports reports---> Aug Sept Oct Nov Dec Jan Feb Mar April May June July received Luwero 23 T T T T T T T T T T T T 100% 100% 12 0 0 12 Lyantonde 76 T T T T L L T T T T L L 67% 100% 8 4 0 12 Manafwa 63 T L T T N T T T T T T T 83% 92% 10 1 1 12 Masaka 24 T T T T T T L T T T T T 92% 100% 11 1 0 12 Masindi 25 T T T L L L T L L T T T 58% 100% 7 5 0 12 Mayuge 51 T T T T L T T L T L T T 75% 100% 9 3 0 12 Mbale 26 T T T T L T T T T T L L 75% 100% 9 3 0 12 Mbarara 27 T T T L L T L T T T T T 75% 100% 9 3 0 12 Mityana 67 T T T T T T T T T T T T 100% 100% 12 0 0 12 Moroto 28 L L L T T T L L N T T N 42% 83% 5 5 2 12 Moyo 29 T T T T T T T T T T T T 100% 100% 12 0 0 12 Mpigi 30 T T T T T T T T T L T L 83% 100% 10 2 0 12 Mubende 31 T T T T T T T T T T T T 100% 100% 12 0 0 12 Mukono 32 T T T T T T T T T T T T 100% 100% 12 0 0 12 Nakapiripirit 52 T L L L L L L L T L T N 25% 92% 3 8 1 12 Nakaseke 58 T T T T T T T T T T T T 100% 100% 12 0 0 12 Nakasongola 44 T T T T L T L T T L L L 58% 100% 7 5 0 12 Namutumba 78 T T T T T T T T T T T T 100% 100% 12 0 0 12 Nebbi 33 T T T T T T T T T T T T 100% 100% 12 0 0 12 Ntungamo 39 T T T T T T L T T T T T 92% 100% 11 1 0 12 NYANDRI 74 L L L L L L L L L L L L 0% 100% 0 12 0 12 OYAM 72 T T T T T T L T L L T T 75% 100% 9 3 0 12 Pader 53 T T T L T L T T T T T T 83% 100% 10 2 0 12 Pallisa 34 T T T T T T T T T T L T 92% 100% 11 1 0 12 Rakai 35 T T T T T T L T T T T T 92% 100% 11 1 0 12 Rukungiri 36 T T T T T T L L L T T T 75% 100% 9 3 0 12

81 District JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN Reports Total Total Total Total N Total on time reports T L No received Expect. Date for monthly Code 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th % T % C timely late not reports reports---> Aug Sept Oct Nov Dec Jan Feb Mar April May June July received Sembabule 45 T L T L L L L L L L L L 17% 100% 2 10 0 12 Sironko 54 T T L T T T T T T T L T 83% 100% 10 2 0 12 Soroti 37 T T T T T T T T T T L L 83% 100% 10 2 0 12 Tororo 38 T T T T T T T T T T T T 100% 100% 12 0 0 12 Wakiso 55 T T T T T T T T T T T T 100% 100% 12 0 0 12 Yumbe 56 T T T T T T T T T T T T 100% 100% 12 0 0 12

T (Timely report) 71 66 71 67 60 63 56 60 65 59 55 60 % timely report 89% 83% 89% 84% 75% 79% 70% 75% 81% 74% 69% 75% L (Late report) 7 11 7 12 18 17 24 19 13 19 23 15 % late report 9% 14% 9% 15% 23% 21% 30% 24% 16% 24% 29% 19% N (No report) 2 3 2 1 2 0 0 1 2 2 2 5 % not reported 3% 4% 3% 1% 3% 0% 0% 1% 3% 3% 3% 6% Completeness 98% 96% 98% 99% 98% 100% 100% 99% 98% 98% 98% 94% NATIONAL Total 78% 98% 753 185 22 960 Source: Ministry of Health – HMIS Section - Target of reporting is the 28th of the next month - A Timely report is having the report received at Central level within 1st to 28th of the next month - Late is a report that was received at Central level after the 28th of the next month.

82 APPENDIX VI: TIMELINESS AND COMPLETENESS OF INPATIENT REPORTING 2008/09

Reports Total Total on time reports Total Total No District JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN received T L Total N Expect. Date for monthly 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th not reports---> Code Aug Sept Oct Nov Dec Jan Feb Mar April May June July % T % C timely late received reports

Abim 77 L N N L L L L L N T N N 8% 58% 1 6 5 12 Adjumani 40 T N N N N N T N T N N N 25% 25% 3 0 9 12 Amolatar 68 T T N T T T T T T T N N 75% 75% 9 0 3 12 Amuria 66 N N N N N N L N T T T N 25% 33% 3 1 8 12 AMURU 73 L L T N N L T N T T L L 33% 75% 4 5 3 12 Apac 1 T T T L T N L N N L T T 50% 75% 6 3 3 12 Arua 2 T T T T T N N L L L L N 42% 75% 5 4 3 12 Budaka 70 T N N N N N N N N N N N 8% 8% 1 0 11 12 Bududa T T T T T T L T T T T T 92% 100% 11 1 0 12 Bugiri 41 T T T T T T T T T T T T 100% 100% 12 0 0 12 Bukedea T T T T L T T T T N T T 83% 92% 10 1 1 12 Bukwo 69 T T N T T T T T T T T T 92% 92% 11 0 1 12 Buliisa 75 T L T T T T T L N N N N 50% 67% 6 2 4 12 Bundibugyo 3 T T L L L L L T T T T N 50% 92% 6 5 1 12 Bushenyi 4 T T T T T T T N T N N N 67% 67% 8 0 4 12 Busia 42 T T T T T T T T T N N N 75% 75% 9 0 3 12 Butaleja 61 T T T T T T T T T T T T 100% 100% 12 0 0 12 Dokolo 71 T L N N T T L T N T T T 58% 75% 7 2 3 12 Gulu 5 L L T T N N T T L L T T 50% 83% 6 4 2 12 Hoima 6 N N N L T N T T T N N N 33% 42% 4 1 7 12 Ibanda 59 N N N N N N L N N N N N 0% 8% 0 1 11 12 Iganga 7 T L T T T T T T T N N T 75% 83% 9 1 2 12 Isingiro 62 T L L T L T T N N N L N 33% 67% 4 4 4 12

83 Reports Total Total on time reports Total Total No District JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN received T L Total N Expect. Date for monthly 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th not reports---> Code Aug Sept Oct Nov Dec Jan Feb Mar April May June July % T % C timely late received reports Jinja 8 T T T N N N T T N N N N 42% 42% 5 0 7 12 Kaabong 64 N N N N N N L L L L L L 0% 50% 0 6 6 12 Kabale 9 T T L L T L T T T N N N 50% 75% 6 3 3 12 Kabarole 10 N N N N N N N N N N L L 0% 17% 0 2 10 12 Kaberamaido 46 N N N N N N N N N N L N 0% 8% 0 1 11 12 Kalangala 11 T T T T T T T T T T T N 92% 92% 11 0 1 12 Kaliro 57 T N T T T N T T T N T N 67% 67% 8 0 4 12 Kampala 12 T T T T T T T T T T T N 92% 92% 11 0 1 12 Kamuli 13 T T T N N T L T N N N N 42% 50% 5 1 6 12 Kamwenge 47 T T N T T T T T T T T T 92% 92% 11 0 1 12 Kanungu 48 N T N T N T T L T N T T 58% 67% 7 1 4 12 Kapchorwa 14 T T N T T T T T T N N N 67% 67% 8 0 4 12 Kasese 15 T T T L T L N N N N L N 33% 58% 4 3 5 12 Katakwi 43 L T T T T T T T T T T T 92% 100% 11 1 0 12 Kayunga 49 T T T T T T T T T T T T 100% 100% 12 0 0 12 Kibaale 16 T T T T T N L N N L T N 50% 67% 6 2 4 12 Kiboga 17 T T T T T T T T T T T T 100% 100% 12 0 0 12 Kiruhura 60 T T T T T T T T T T T N 92% 92% 11 0 1 12 Kisoro 18 T T T T T T T T T N N N 75% 75% 9 0 3 12 Kitgum 19 T T T T L T T T T T T T 92% 100% 11 1 0 12 Koboko 65 T T T T T T T T T T T T 100% 100% 12 0 0 12 Kotido 20 T N T T T L T N L L T N 50% 75% 6 3 3 12 Kumi 21 T N N T L L T T T L T N 50% 75% 6 3 3 12 Kyenjojo 50 N N N N N N N N N N N N 0% 0% 0 0 12 12 Lira 22 T T T T T T T T T T T T 100% 100% 12 0 0 12 Luwero 23 N N N N N N T N N N N N 8% 8% 1 0 11 12 Lyantonde 76 T T T T L L T T T T N N 67% 83% 8 2 2 12

84 Reports Total Total on time reports Total Total No District JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN received T L Total N Expect. Date for monthly 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th not reports---> Code Aug Sept Oct Nov Dec Jan Feb Mar April May June July % T % C timely late received reports Manafwa 63 T L T T L N T T T N T N 58% 75% 7 2 3 12 Masaka 24 N N T N N N N T N N N N 17% 17% 2 0 10 12 Masindi 25 N N N N N N N L L N T T 17% 33% 2 2 8 12 Mayuge 51 T T T T L T T L T N T T 75% 92% 9 2 1 12 Mbale 26 T T T T N T T T T T N N 75% 75% 9 0 3 12 Mbarara 27 N N N N N N L L N N N N 0% 17% 0 2 10 12 Mityana 67 T T T T T T T T T T T T 100% 100% 12 0 0 12 Moroto 28 N N N T N N N N N N N N 8% 8% 1 0 11 12 Moyo 29 T T T N T T T T T T T T 92% 92% 11 0 1 12 Mpigi 30 N N N N T N L L L L L L 8% 58% 1 6 5 12 Mubende 31 T L T T L L T T T N T N 58% 83% 7 3 2 12 Mukono 32 T T T T T T T T T T T T 100% 100% 12 0 0 12 Nakapiripirit 52 N N N N N N N N N N N N 0% 0% 0 0 12 12 Nakaseke 58 T T T T T T T T N T L N 75% 83% 9 1 2 12 Nakasongola 44 N T T T L N L T T N N N 42% 58% 5 2 5 12 Namutumba 78 T T T T T T T T T N N N 75% 75% 9 0 3 12 Nebbi 33 N N N T T N L T T T T T 58% 67% 7 1 4 12 Ntungamo 39 T N T T T T L T L T T N 67% 83% 8 2 2 12 Nyandri 74 N N N N N N N N N N L N 0% 8% 0 1 11 12 Oyam 72 T N N L N N L T N N T N 25% 42% 3 2 7 12 Pader 53 T N T T T T T T T T T T 92% 92% 11 0 1 12 Pallisa 34 L N T T T T T T T T L T 75% 92% 9 2 1 12 Rakai 35 T T T T T T T T T T T T 100% 100% 12 0 0 12 Rukungiri 36 T T N L T N L N N L T N 33% 58% 4 3 5 12 Sembabule 45 N N L T L N L L L L L L 8% 75% 1 8 3 12 Sironko 54 N N T N N N T T T T T N 50% 50% 6 0 6 12 Soroti 37 N T T T T T L L L N N N 42% 67% 5 3 4 12

85 Reports Total Total on time reports Total Total No District JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN received T L Total N Expect. Date for monthly 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th 28th not reports---> Code Aug Sept Oct Nov Dec Jan Feb Mar April May June July % T % C timely late received reports Tororo 38 T T T T T T T T T T T T 100% 100% 12 0 0 12 Wakiso 55 L T T T L T N T N T T N 58% 75% 7 2 3 12 Yumbe 56 T N N T T T T T T T T T 83% 83% 10 0 2 12 T (Timely report) 53 43 48 51 44 41 49 50 47 35 42 28 % timely report 66% 54% 60% 64% 55% 51% 61% 63% 59% 44% 53% 35% L (Late report) 6 8 4 8 13 9 19 11 9 10 12 5 % late report 8% 10% 5% 10% 16% 11% 24% 14% 11% 13% 15% 6% N (No report) 21 29 28 21 23 30 12 19 24 35 26 47 % not reported 26% 36% 35% 26% 29% 38% 15% 24% 30% 44% 33% 59% Completeness 74% 64% 65% 74% 71% 63% 85% 76% 70% 56% 68% 41% NATIONAL Total 55% 67% 531 114 315 960 Source: Ministry of Health – HMIS Section - Target of reporting is the 28th of the next month - A Timely report is having the report received at Central level within 1st to 28th of the next month - Late is a report that was received at Central level after the 28th of the next month

86 APPENDIX VII: OUTPATIENT INDICATORS BY DISTRICT FOR FY 2008/09

- - - -

4yrs 4yrs

- -

dances 5 and above

Name of District Annual Population Percentage healthof facilities reporting OPD Per Capita Proportion OPD New attendances 0 Proportion OPD New atten yrs Proportion OPD New attendances Male Proportion OPD New Attendances Female Proportion OPD Re attendances 0 Proportion OPD Re attendances 5 and above yrs Proportion OPD Re attendances Male Proportion OPD Re attendances Female ABIM 53476 99 2.6 40% 60% 43% 57% 38% 62% 42% 58% ADJUMANI 305621 65 0.8 46% 54% 46% 54% 41% 59% 42% 58% AMOLATAR 114939 88 1.1 48% 52% 41% 59% 37% 63% 43% 57% AMURIA 310900 80 0.6 39% 61% 38% 62% 38% 62% 41% 59% AMURU 210383 96 0.8 43% 57% 44% 56% 40% 60% 44% 56% APAC 515497 92 0.6 32% 68% 39% 61% 40% 60% 42% 58% ARUA 499525 76 0.5 34% 66% 43% 57% 34% 66% 45% 55% BUDAKA 161649 94 0.8 50% 50% 49% 51% 47% 53% 40% 60% BUDUDA 157602 100 1.0 29% 71% 40% 60% 37% 63% 41% 59% BUGIRI 560499 75 0.4 37% 63% 44% 56% 39% 61% 46% 54% BUKEDEA 160896 100 0.6 37% 63% 38% 62% 41% 59% 38% 62% BUKWO 63604 99 1.1 21% 79% 40% 60% 24% 76% 45% 55% BULIISA 73698 38 0.4 32% 68% 44% 56% 41% 59% 46% 54% BUNDIBUGYO 291609 89 0.7 34% 66% 40% 60% 43% 57% 45% 55% BUSHENYI 825868 87 0.8 19% 81% 38% 62% 20% 80% 40% 60% BUSIA 268226 97 0.7 38% 62% 41% 59% 27% 73% 29% 71% BUTALEJA 195640 100 1.3 41% 59% 41% 59% 55% 45% 50% 50% DOKOLO 162039 99 0.7 39% 61% 40% 60% 41% 59% 39% 61% GULU 357432 100 1.7 36% 64% 43% 57% 19% 81% 38% 62% HOIMA 467011 84 0.7 27% 73% 43% 57% 23% 77% 45% 55% IBANDA 232345 93 1.1 19% 81% 41% 59% 18% 82% 45% 55% IGANGA 672758 61 0.5 32% 68% 43% 57% 40% 60% 44% 56% ISINGIRO 378279 70 1.2 21% 79% 30% 70% 37% 63% 43% 57% JINJA 454818 55 1.1 34% 66% 44% 56% 43% 57% 42% 58% KAABONG 316637 100 0.6 39% 61% 40% 60% 38% 62% 40% 60% KABALE 477220 88 1.3 22% 78% 39% 61% 21% 79% 39% 61% KABAROLE 389575 74 0.8 24% 76% 44% 56% 19% 81% 43% 57% KABERAMAIDO 172272 81 0.8 38% 62% 38% 62% 44% 56% 39% 61% KALANGALA 53307 86 1.0 17% 83% 49% 51% 20% 80% 47% 53% KALIRO 191770 85 0.4 33% 67% 41% 59% 41% 59% 40% 60% KAMPALA 1510186 82 0.9 28% 72% 46% 54% 30% 70% 41% 59% KAMULI 680434 70 0.5 29% 71% 38% 62% 42% 58% 46% 54% KAMWENGE 303961 100 1.1 17% 83% 27% 73% 30% 70% 43% 57% KANUNGU 232348 91 0.7 23% 77% 40% 60% 23% 77% 36% 64% KAPCHORWA 187085 87 1.0 29% 71% 42% 58% 23% 77% 37% 63% KASESE 658397 36 1.4 14% 86% 19% 81% 33% 67% 46% 54% KATAKWI 153706 97 0.9 30% 70% 36% 64% 40% 60% 36% 64% KAYUNGA 331503 82 0.7 30% 70% 42% 58% 40% 60% 45% 55% KIBAALE 570999 87 0.4 30% 70% 41% 59% 30% 70% 47% 53% KIBOGA 300616 88 0.7 29% 71% 44% 56% 42% 58% 46% 54%

- - - -

4yrs 4yrs

- -

dances 5 and above

Name of District Annual Population Percentage healthof facilities reporting OPD Per Capita Proportion OPD New attendances 0 Proportion OPD New atten yrs Proportion OPD New attendances Male Proportion OPD New Attendances Female Proportion OPD Re attendances 0 Proportion OPD Re attendances 5 and above yrs Proportion OPD Re attendances Male Proportion OPD Re attendances Female KIRUHURA 265451 89 0.9 21% 79% 43% 57% 26% 74% 47% 53% KISORO 239214 95 1.3 32% 68% 42% 58% 36% 64% 45% 55% KITGUM 365088 94 1.1 36% 64% 40% 60% 31% 69% 41% 59% KOBOKO 193461 92 0.6 35% 65% 42% 58% 35% 65% 45% 55% KOTIDO 188076 92 0.9 42% 58% 43% 57% 42% 58% 46% 54% KUMI 354819 94 1.1 37% 63% 40% 60% 35% 65% 33% 67% KYENJOJO 477235 79 0.6 24% 76% 41% 59% 25% 75% 42% 58% LIRA 636200 100 1.0 33% 67% 41% 59% 35% 65% 39% 61% LUWERO 399726 100 0.7 27% 73% 42% 58% 34% 66% 45% 55% LYANTONDE 74168 98 2.2 23% 77% 39% 61% 28% 72% 42% 58% MANAFWA 325493 79 0.4 40% 60% 40% 60% 42% 58% 46% 54% MASAKA 809916 53 0.8 26% 74% 42% 58% 21% 79% 40% 60% MASINDI 560130 85 0.9 22% 78% 30% 70% 45% 55% 43% 57% MAYUGE 406658 68 0.5 31% 69% 40% 60% 30% 70% 36% 64% MBALE 397252 90 0.8 33% 67% 42% 58% 38% 62% 44% 56% MBARARA 410503 64 0.9 21% 79% 42% 58% 16% 84% 41% 59% MITYANA 291392 31 1.7 21% 79% 35% 65% 32% 68% 47% 53% MOROTO 275988 96 0.3 41% 59% 44% 56% 53% 47% 46% 54% MOYO 322155 0 0.9 31% 69% 43% 57% 39% 61% 46% 54% MPIGI 440213 82 0.9 24% 76% 44% 56% 31% 69% 42% 58% MUBENDE 535722 73 0.5 26% 74% 41% 59% 39% 61% 45% 55% MUKONO 937733 83 0.7 27% 73% 42% 58% 30% 70% 46% 54% NAKAPIRIPIRIT 226611 90 0.7 58% 42% 33% 67% 49% 51% 45% 55% NAKASEKE 169490 84 1.0 24% 76% 43% 57% 30% 70% 45% 55% NAKASONGOLA 144081 96 1.2 36% 64% 42% 58% 37% 63% 41% 59% NAMUTUMBA 198060 88 0.7 35% 65% 40% 60% 29% 71% 35% 65% NEBBI 513635 98 0.9 39% 61% 44% 56% 35% 65% 47% 53% NTUNGAMO 439054 100 0.6 21% 79% 40% 60% 29% 71% 43% 57% NYADRI 369187 99 0.7 31% 69% 40% 60% 29% 71% 51% 49% OYAM 335287 88 0.6 29% 71% 40% 60% 21% 79% 38% 62% PADER 450093 82 1.1 48% 52% 35% 65% 35% 65% 43% 57% PALLISA 480166 96 1.0 30% 70% 30% 70% 46% 54% 40% 60% RAKAI 449869 92 1.3 19% 81% 58% 42% 3% 97% 96% 4% RUKUNGIRI 301023 88 1.1 17% 83% 37% 63% 22% 78% 45% 55% SIRONKO 331513 91 0.8 26% 74% 39% 61% 37% 63% 44% 56% SOROTI 517218 35 0.6 35% 65% 40% 60% 41% 59% 38% 62% SSEMBABULE 202815 98 0.7 27% 73% 42% 58% 38% 62% 44% 56% TORORO 443508 100 1.1 36% 64% 39% 61% 40% 60% 45% 55% WAKISO 1186654 93 0.8 27% 73% 42% 58% 28% 72% 44% 56% YUMBE 423145 95 0.5 39% 61% 41% 59% 34% 66% 42% 58% National total 30,112,336 84 0.8 29% 71% 40% 60% 30% 70% 48% 52% Source: Ministry of Health – Resource Centre

APPENDIX VIII: IMMUNISATION INDICATORS BY DISTRICT FOR FY 2008/09

No. District Surviving BCG Measles % Polio 3 DPT3 % Total TT (2 - 5) Total TT(2 - 5) Infants % % pregnant % non % non women (pregnant pregnant pregnan women) women t women

1 Abim 2,361 104% 117% 129% 129% 2,745 69% 9,772 22%

2 Adjumani 13,145 36% 30% 37% 38% 15,285 29% 54,415 6%

3 Amolatar 4,941 128% 101% 120% 120% 5,745 72% 20,452 21%

4 Amuria 13,369 60% 73% 73% 68% 15,545 42% 55,340 17%

5 Amuru 9,047 89% 84% 79% 100% 10,520 91% 37,451 28%

6 Apac 22,167 81% 58% 65% 65% 25,775 41% 91,759 13%

7 Arua 21,479 83% 59% 72% 68% 24,975 38% 88,911 8%

8 Budaka 6,953 101% 82% 88% 84% 8,085 76% 28,783 40%

9 Bududa 6,781 119% 154% 140% 249% 7,885 83% 28,071 21%

10 Bugiri 24,093 88% 70% 60% 58% 28,015 51% 99,733 14%

11 Bukedea 6,919 69% 129% 84% 88% 8,045 64% 28,640 14%

12 Bukwa 2,731 104% 104% 133% 115% 3,175 55% 11,303 32%

13 Buliisa 3,229 58% 40% 46% 105% 3,755 14% 13,368 2%

14 Bundibugyo 11,490 89% 72% 75% 79% 13,360 35% 47,562 8%

15 Bushenyi 36,189 91% 79% 95% 89% 42,080 70% 149,805 7%

16 Busia 11,546 102% 79% 83% 82% 13,425 21% 47,793 7%

17 Butaleja 8,419 113% 109% 92% 98% 9,790 97% 34,852 10%

18 Dokolo 6,970 106% 91% 89% 177% 8,105 81% 28,854 34%

19 Gulu 7,822 191% 187% 177% 173% 9,095 115% 32,378 63%

20 Hoima 20,468 82% 60% 65% 65% 23,800 39% 84,728 5%

21 Ibanda 10,182 88% 73% 82% 81% 11,840 46% 42,150 8%

22 Iganga 28,930 112% 71% 67% 74% 33,640 41% 119,758 6%

23 Isingiro 16,577 95% 85% 94% 98% 19,275 72% 68,619 14%

24 Jinja 19,561 82% 69% 80% 76% 22,745 71% 80,972 15% 25 Kaabong 13,614 40% 70% 53% 62% 64% 20%

89 15,830 56,355

26 Kabale 20,911 67% 64% 73% 78% 24,315 47% 86,561 10%

27 Kabarole 17,071 112% 60% 63% 67% 19,850 36% 70,666 6%

28 Kaberamaido 7,413 77% 63% 70% 76% 8,620 28% 30,687 3%

29 Kalangala 2,326 63% 72% 75% 67% 2,705 24% 9,630 1%

30 Kaliro 8,243 107% 87% 88% 94% 9,585 57% 34,123 13%

31 Kampala 65,945 155% 149% 130% 122% 76,680 108% 272,981 4%

32 Kamuli 29,266 91% 62% 63% 63% 34,030 37% 121,147 8%

33 Kamwenge 13,317 113% 98% 117% 110% 15,485 33% 55,127 6%

34 Kanungu 10,182 62% 83% 74% 130% 11,840 43% 42,150 8%

35 Kapchorwa 8,045 68% 57% 57% 65% 9,355 38% 33,304 11%

36 Kasese 28,853 74% 72% 81% 77% 33,550 36% 119,438 3%

37 Katakwi 6,609 78% 85% 93% 96% 7,685 32% 27,359 21%

38 Kayunga 14,474 80% 77% 84% 82% 16,830 63% 59,915 7%

39 Kibaale 25,026 75% 59% 60% 61% 29,100 22% 103,596 9%

40 Kiboga 13,132 101% 75% 88% 85% 15,270 43% 54,361 4%

41 Kiruhura 11,632 106% 85% 86% 89% 13,525 31% 48,149 6%

42 Kisoro 10,479 82% 73% 74% 90% 12,185 45% 43,379 2%

43 Kitgum 15,699 72% 78% 77% 79% 18,255 50% 64,988 16%

44 Koboko 8,316 87% 81% 105% 111% 9,670 60% 34,425 26%

45 Kotido 8,088 67% 100% 97% 81% 9,405 75% 33,482 22%

46 Kumi 15,261 83% 88% 178% 95% 17,745 42% 63,172 2%

47 Kyenjojo 20,915 82% 73% 73% 67% 24,320 32% 86,579 19%

48 Lira 27,357 108% 76% 85% 77% 31,810 63% 113,244 1%

49 Luwero 17,454 39% 40% 36% 44% 20,295 24% 72,250 35%

50 Lyantonde 3,238 127% 94% 93% 401% 3,765 91% 13,403 29%

51 Manafwa 14,001 125% 139% 138% 134% 16,280 105% 57,957 10%

52 Masaka 35,359 103% 89% 91% 80% 41,115 61% 146,369 4%

53 Masindi 24,553 74% 52% 69% 57% 28,550 35% 101,638 4% 54 Mayuge 17,484 79% 58% 57% 67% 42% 7%

90 20,330 72,375

55 Mbale 17,080 93% 102% 84% 96% 19,860 54% 70,702 11%

56 Mbarara 17,987 107% 76% 138% 89% 20,915 51% 74,457 10%

57 Mityana 12,724 102% 87% 94% 88% 14,795 56% 52,670 11%

58 Moroto 11,868 60% 84% 86% 91% 13,800 75% 49,128 33%

59 Moyo 13,855 30% 23% 32% 33% 16,110 17% 57,352 4%

60 Mpigi 19,221 103% 105% 117% 112% 22,350 65% 79,566 13%

61 Mubende 23,392 81% 70% 82% 71% 27,200 38% 96,832 6%

62 Mukono 40,949 78% 66% 71% 64% 47,615 57% 169,509 10%

63 Nakapiripirit 9,748 52% 103% 51% 67% 11,335 101% 40,353 24%

64 Nakaseke 7,400 73% 59% 53% 69% 8,605 34% 30,634 2%

65 Nakasongola 6,291 78% 62% 70% 115% 7,315 39% 26,041 10%

66 Namutumba 8,523 104% 80% 83% 86% 9,910 60% 35,280 8%

67 Nebbi 22,085 112% 77% 88% 88% 25,680 55% 91,421 14%

68 Ntungamo 19,238 91% 76% 85% 80% 22,370 42% 79,637 11%

69 Nyadri 15,876 78% 53% 73% 67% 18,460 23% 65,718 6%

70 Oyam 14,418 158% 100% 103% 103% 16,765 77% 59,683 21%

71 Pader 19,354 66% 68% 70% 76% 22,505 51% 80,118 25%

72 Pallisa 20,644 114% 96% 95% 94% 24,005 79% 85,458 31%

73 Rakai 19,642 82% 72% 76% 79% 22,840 50% 81,310 4%

74 Rukungiri 13,188 96% 80% 88% 94% 15,335 51% 54,593 6%

75 Sembabule 8,854 97% 87% 82% 94% 10,295 35% 36,650 3%

76 Sironko 14,250 102% 126% 111% 114% 16,570 80% 58,989 14%

77 Soroti 22,244 74% 57% 58% 66% 25,865 37% 92,079 7%

78 Tororo 19,071 104% 105% 109% 109% 22,175 58% 78,943 8%

79 Wakiso 51,819 71% 85% 81% 75% 60,255 38% 214,508 7%

80 Yumbe 18,193 70% 74% 82% 84% 21,155 46% 75,312 6% National Total 5,371,22 1,297,542 91% 81% 84% 85% 1,508,770 53% 11% 1

Source: Ministry of Health – HMIS Section

91 APPENDIX IX: PROPORTION OF HEALTH FACILITIES REPORTING BY MONTH BY DISTRICT FOR THE FY 2008/09

No. District Jul-08 Aug-08 Sep-08 Oct-08 Nov-08 Dec-08 Jan-09 Feb-09 Mar-09 Apr-09 May-09 Jun-09 1 ABIM 100% 100% 82% 100% 100% 100% 100% 100% 100% 100% 100% 100% 2 ADJUMANI 83% 75% 86% 86% 100% 0% 81% 75% 97% 97% 3 AMOLATAR 100% 0% 92% 100% 92% 92% 100% 100% 91% 100% 100% 4 AMURIA 100% 100% 94% 88% 100% 56% 61% 94% 52% 52% 5 AMURU 100% 94% 79% 100% 100% 94% 94% 100% 100% 6 APAC 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 7 ARUA 90% 90% 63% 77% 67% 74% 72% 8 BUDAKA 93% 87% 87% 100% 93% 93% 93% 100% 100% 87% 100% 93% 9 BUDUDA 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 10 BUGIRI 53% 69% 69% 100% 46% 86% 79% 79% 89% 74% 85% 11 BUKEDEA 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 12 BUKWO 100% 100% 100% 100% 100% 100% 100% 100% 100% 92% 100% 100% 13 BULIISA 100% 100% 100% 14 BUNDIBUGYO 87% 84% 87% 94% 77% 81% 81% 97% 100% 97% 91% 91% 15 BUSHENYI 100% 100% 96% 100% 97% 95% 97% 88% 84% 96% 16 BUSIA 95% 100% 96% 100% 100% 83% 96% 96% 100% 100% 17 BUTALEJA 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 18 DOKOLO 100% 100% 100% 100% 100% 92% 100% 100% 100% 100% 19 GULU 100% 100% 100% 100% 100% 100% 100% 96% 100% 100% 100% 100% 20 HOIMA 85% 85% 81% 88% 77% 100% 79% 87% 87% 83% 77% 83% 21 IBANDA 97% 89% 89% 97% 95% 78% 89% 97% 100% 92% 95% 92% 22 IGANGA 75% 70% 76% 77% 74% 70% 74% 82% 24% 38% 72% 23 ISINGIRO 87% 77% 85% 77% 87% 92% 89% 80% 78% 84% 24 JINJA 96% 96% 88% 96% 0% 94% 96% 93% 25 KAABONG 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 26 KABALE 98% 98% 9% 97% 96% 97% 96% 97% 97% 88% 100%

No. District Jul-08 Aug-08 Sep-08 Oct-08 Nov-08 Dec-08 Jan-09 Feb-09 Mar-09 Apr-09 May-09 Jun-09 27 KABAROLE 75% 74% 85% 81% 72% 72% 67% 61% 78% 28 KABERAMAIDO 68% 80% 85% 80% 85% 90% 80% 80% 80% 29 KALANGALA 82% 82% 100% 91% 100% 100% 91% 91% 91% 100% 100% 30 KALIRO 81% 88% 94% 88% 88% 88% 94% 82% 65% 31 KAMPALA 91% 78% 84% 89% 90% 94% 88% 91% 83% 80% 80% 39% 32 KAMULI 88% 84% 53% 83% 73% 77% 77% 73% 89% 33 KAMWENGE 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 34 KANUNGU 89% 91% 94% 91% 89% 89% 87% 96% 96% 83% 96% 35 KAPCHORWA 97% 100% 90% 94% 0% 100% 100% 94% 97% 87% 97% 36 KASESE 0% 73% 65% 100% 100% 100% 100% 37 KATAKWI 100% 100% 100% 100% 100% 100% 100% 100% 89% 94% 78% 100% 38 KAYUNGA 100% 100% 100% 100% 100% 100% 100% 100% 100% 0% 39 KIBAALE 88% 88% 91% 91% 85% 85% 85% 80% 85% 89% 85% 40 KIBOGA 81% 81% 89% 100% 100% 100% 60% 89% 89% 89% 89% 89% 41 KIRUHURA 97% 91% 97% 94% 97% 94% 89% 94% 95% 24% 92% 100% 42 KISORO 91% 100% 100% 100% 91% 89% 97% 94% 97% 100% 85% 100% 43 KITGUM 100% 100% 89% 96% 85% 79% 100% 100% 93% 93% 97% 44 KOBOKO 100% 100% 100% 100% 10% 100% 100% 100% 100% 100% 100% 100% 45 KOTIDO 88% 88% 94% 100% 94% 78% 89% 89% 83% 100% 100% 100% 46 KUMI 88% 100% 92% 100% 88% 92% 96% 85% 96% 100% 100% 93% 47 KYENJOJO 97% 88% 93% 88% 83% 75% 95% 80% 83% 0% 93% 48 LIRA 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 49 LUWERO 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 50 LYANTONDE 100% 100% 100% 89% 100% 100% 100% 95% 95% 100% 95% 100% 51 MANAFWA 100% 100% 73% 73% 100% 73% 70% 100% 100% 52 MASAKA 69% 100% 100% 88% 93% 0% 82% 100% 53 MASINDI 82% 82% 80% 82% 88% 84% 91% 82% 82% 87% 93% 54 MAYUGE 63% 78% 76% 71% 82% 58% 79% 75% 59% 80% 100% 0% 55 MBALE 100% 100% 100% 98% 100% 98% 100% 100% 100%

No. District Jul-08 Aug-08 Sep-08 Oct-08 Nov-08 Dec-08 Jan-09 Feb-09 Mar-09 Apr-09 May-09 Jun-09 56 MBARARA 76% 85% 94% 85% 95% 95% 96% 0% 78% 57 MITYANA 75% 100% 100% 100% 58 MOROTO 100% 100% 95% 95% 95% 95% 95% 59 MOYO 60 MPIGI 100% 71% 71% 98% 73% 73% 71% 100% 76% 76% 73% 100% 61 MUBENDE 87% 0% 100% 83% 85% 87% 81% 87% 91% 92% 81% 62 MUKONO 84% 88% 90% 9% 90% 88% 88% 92% 92% 92% 92% 92% 63 NAKAPIRIPIRIT 93% 100% 80% 80% 87% 83% 94% 87% 87% 100% 100% 94% 64 NAKASEKE 95% 100% 100% 100% 90% 0% 90% 67% 95% 90% 95% 81% 65 NAKASONGOLA 100% 100% 93% 97% 93% 77% 100% 100% 100% 100% 97% 97% 66 NAMUTUMBA 94% 94% 100% 100% 100% 100% 100% 100% 67 NEBBI 100% 95% 100% 100% 98% 95% 98% 98% 100% 98% 100% 68 NTUNGAMO 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 69 NYADRI 93% 96% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 70 OYAM 100% 67% 100% 100% 94% 100% 100% 100% 100% 100% 100% 71 PADER 88% 88% 82% 98% 92% 0% 87% 87% 91% 87% 93% 98% 72 PALLISA 100% 58% 100% 100% 100% 100% 100% 100% 100% 100% 98% 73 RAKAI 91% 90% 96% 94% 96% 94% 91% 81% 95% 96% 88% 92% 74 RUKUNGIRI 100% 100% 100% 100% 100% 99% 100% 81% 96% 6% 75 SIRONKO 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 76 SOROTI 100% 100% 65% 86% 77 SSEMBABULE 95% 100% 100% 95% 100% 100% 100% 100% 88% 100% 96% 96% 78 TORORO 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 79 WAKISO 98% 94% 98% 90% 99% 87% 92% 95% 90% 100% 81% 97% 80 YUMBE 94% 94% 88% 100% 88% 94% 88% 100% 100% 100% 88% 100% National Average 93% 89% 91% 93% 90% 89% 91% 91% 92% 87% 90% 89% *Blank cells indicate that information on health facilities reporting was not submitted by the districts