Mglsd-Maksph-Cdc Fellowship

Strengthening OVCMIS Reporting and Utilization in Gomba District

MAGALL MORITZ (MA, BA.SS, PGD.PPM)

AND

KASHEMEIRE OBDADIAH (MAEPM, B.STAT, PGD. COMP. SCIENCE)

MEDIUM TERM FELLOWS

OCTOBER 2012

Table of Contents

List of Figures ...... iv List of Figures ...... iv DECLARATION...... v Acknowledgement ...... vi List of Abbreviations and Acronyms ...... vii Operational definition / Definition of Key Concepts ...... viii Executive Summary ...... x 1.0 Introduction and background ...... 1 1.1 OVCMIS ...... 1 1.2 OVCMIS data flow ...... 2 2.0 Literature Review ...... 3 2.1 District Profile ...... 4 2.1.1 History & Location of Gomba district ...... 4 2.1.2 Population and Demographic characteristics ...... 4 2.1.3 Administrative Units and Lower Local Governments ...... 5 3.0 Problem Statement ...... 6 3.1 Background to the problem ...... 6 3.2 Justification/Rationale for the Project ...... 7 3.3 Conceptual framework ...... 8 3.4 Project Objective ...... 9 4.0 Methodology/Approach ...... 10 4.1 Project implementation ...... 10 4.2 Data collection...... 10 4.3 Data quality assurance ...... 11 4.4 Data Validation...... 11 4.5 Data entry and analysis ...... 12 4.6 Data dissemination ...... 12 5.0 Project findings and deliverables ...... 13 5.1 Introduction ...... 13 5.2 To identify all OVC, their households and service providers in Gomba district...... 13 5.2.1 OVC Mapping Results ...... 14 5.2.2 Map showing distribution of OVC by parish ...... 17 5.2.3 Service Provider Mapping Results ...... 18 5.3 To build the capacity of the district to collect, analyze, report and use OVC MIS data. 20 5.4 Strengthen OVC coordination in the district ...... 21 5.5 Project Outcomes...... 21 6.0 Lessons Learnt and Challenges ...... 22 6.1 Lessons Learnt...... 22 6.2 Challenges Faced During Project Implementation ...... 22 ii

7.0 Conclusions and Recommendations ...... 23 8.0 References ...... 24 9.0 Appendix ...... 25 9.1 Project Causal Framework ...... 25 9.2 Servicer Provider Registration form ...... 26 9.3 OVC Identification and registration Form ...... 27

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List of Figures Table 1: Distribution of population per sub-county ...... 5 Table 2: Distribution of OVC by Sub County and sex...... 14 Table 3: Distribution of OVC according to Orphan hood, Out of school and Disability ...... 15 Table 4: Relationship between orphanhood, Disability and School Attendance ...... 15 Table 5: Vulnerability by age Groups ...... 16 Table 6: Distribution of Schools and other training institution ...... 18 Table 7: Distribution of Health Facilities in the District ...... 18 Table 8: Civil Society organisations ...... 19

List of Figures Figure 1: OVCMIS Data flow ...... 2 Figure 2: Distribution of OVC by Sub County and sex...... 15 Figure 3: Percentage of Orphans hood, out of school and disabled to total OVC ...... 16 Figure 4: Percentage of OVC by age groups ...... 17 Figure 5: Map showing distribution of OVC by parish ...... 17

DECLARATION I, and ______do hereby declare that this end-of-project report entitled Strengthening OVCMIS Reporting and Utilization in Gomba District has been prepared and submitted in fulfillment of the requirements of the Medium-term Fellowship Program at Makerere University School of Public Health and has not been submitted for any academic or non- academic qualifications.

Signed ………………………………… Date…………………………………..

Magall Moritz, Medium-term Fellow

Signed ………………………………… Date…………………………………….

Kashemeire Obadiah, Medium-term Fellow

Signed ………………………………… Date…………………………………..

Mr. Nyangweso Denis, Institution Mentor

Signed ………………………………… Date…………………………………..

Ms. Akello Evelyn, Academic Mentor

Roles and Responsibilities of Medium Term Fellows

Magall Moritz: Proposal writing, designing of data tools, training of district staff to train and supervise data collectors, overseeing the proper implementation of the project, report writing, presentation of report, ensure proper accountability of funds.

Kashemeire Obadiah: Proposal writing, designing of data collection tools, training of district staff to train and supervise data collectors, designing of data entry screens, overseeing the proper implementation of the project, supervision of data entry, data analysis, report writing, presentation of report, ensure proper accountability of funds.

Acknowledgement We extend our sincere thanks to Makerere University School of Public Health /CDC for the financial support and academic mentorship without which this project would not have been accomplished. We are specifically grateful to Mr. Matovu Joseph and Ms. Akello Evelyn for the guidance provided during the project execution.

We are also grateful to the Ministry of Gender Labour and Social Development for allowing us time to study this course and carryout the field activities. We do appreciate the institutional mentorship from Mr. Nyangweso Denis being our workplace mentor.

Special appreciation goes to the political and technical leadership as well as the staff of Gomba District Local Government for allowing us to implement this project in their district and actively participating in all the field activities. Special thanks to the Chief Administrative Officer, District Planner, DCDO, PSWO, CDOs for all the technical support provided to the fellows while at the district and to the VHTs and LCs who did the actual OVC identification and registration of OVC.

List of Abbreviations and Acronyms UAC Uganda AIDS Commission CBOs Community Based Organizations CBSD Community Based Services Department CDO Community Development Officer CPA Core Program Areas CDC Centers for Diseases Control and Prevention CSOs Civil Society Organizations CSF Civil Society Fund CSOs Civil Society Organizations DCDO District Community Development Officer DOVCC District OVC Coordination Committee FBO Faith Based Organizations IDA International Development Agency PSWO Probation and Social Welfare Officer M&E Monitoring and Evaluation MGLSD Ministry of Gender, Labour and Social Development MIS Management Information Systems MoH Ministry of Health MoLG Ministry of Local Government NCC National Council for Children NGOs Non-Governmental Organizations NOP National Orphans and Other Vulnerable Children Policy NOSC National OVC Steering Committee NSPPI National Strategic Programme Plan of Intervention for OVC OVC Orphans and Other Vulnerable Children OVC MESST OVC Monitoring and Evaluation System Strengthening Tool OVCNIU OVC National Implementation Unit SOVCC Sub county OVC coordination Committee SPH School of Public Health TPC Technical Planning Committee TWG Thematic Working Group UBOS Uganda Bureau of Statistics UDHS Uganda Demographic and Health Survey UNICEF United Nations International Children Education Fund USAID United States Agency for International Development VHTs Village Health Teams

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Operational definition / Definition of Key Concepts

Child: A person who is below the age of 18 years

Evaluation: The use of research methods to assess effectiveness of a project, program or other interventions. Evaluation takes place at specific points in the project cycle (baseline, mid-term, and end of the programme/project). Evaluations focus on the extent of achievement of outcomes and impacts. Evaluation uses data and indicators collected during the monitoring and at the actual point of evaluation. Process evaluation or monitoring focuses on the input and output measures while impact evaluation focuses on the outcomes and impact measures

Household: A group of people who normally live and eat together in one spatial unit and share domestic functions and activities

Impact: The overall long-term results that a project achieves. For example reduced mortality of OVC and improved wellbeing of children. Impacts are commonly measured through household surveys such as UDHS. Impact assessments show the degree to which the overall objective or goal of the program is realized

Inputs: The resources invested in a programme. For example, money, staff, supplies, equipments

Monitoring: Refers to the process of routine data collection to assess whether the activities of a policy, project, programme or any intervention are being implemented as planned. This data is then utilized in project/programme management and decision-making. Monitoring is an ongoing activity to track mainly the inputs (activities) and outputs, and in some degree also tracking (intermediate) outcomes. It also focuses on the utilization of resources, including depletion of the budget

Orphan: A child who has lost one or both parents

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Outcomes: The changes resulting from exposure to the programme measured at the population level in the target population of a programme, project or other interventions. For example, higher retention of OVC in school or fewer malnourished children

Outputs: The immediate results achieved by the programme as a result of conducting the activities. For example, service providers trained households who received support and OVC provided with scholastic materials. Output measurements are based at the activity level and show the realization of activities

Performance indicators: Measure the achievement of the project/programme objectives. In simple terms they are signs of change. Indicators are based at different levels, at the activity, input, output, outcome and goal levels. Examples of indicators include, number of children enrolled into school, number of children provided with mosquito nets, percentage increase in number of children reporting child abuse

Vulnerable child: A child who is suffering and/or is likely to suffer any form of abuse or deprivation and is therefore in need of care and protection

Vulnerability: A state of being or likely to be in a risky situation, where a person is likely to suffer significant physical, emotional or mental harm that may result in their human rights not being fulfilled.

Executive Summary The Ministry of Gender, Labour and Social Development (MGLSD) is a lead Government agency mandated to ensure that the rights of all children including Orphans and other Vulnerable (OVC) are promoted and upheld. The Ministry implements its mandate through Local governments and CSOs / Implementing Partners. In fulfilling this mandate, the Ministry and Local Governments face many challenges among which is the lack of comprehensive data about OVC to guide planning, decision making and resource allocation.

The fellowship project for strengthening OVC MIS reporting and utilization in Gomba district was a nine months $2500 (6,250,000UGX) project that was implemented in Gomba district from October 2011 to August 2012 by two fellows with financial support from MAKSPH-CDC medium term fellowship. The overall objective of the project was to improve reporting and utilization of OVC data in districts and municipalities in order to lead, manage, coordinate, monitor and evaluate the OVC responses. The Specific objectives of the project were; (i) To identify all OVC, their households and service providers in Gomba district, (ii) To build the capacity of the district to collect, analyze, report and use OVC MIS data, (iii) Strengthen OVC coordination in the district

The project was largely implemented by Gomba district staff with support from the two medium-term fellowship students, academic mentors from MAKSPH and the workplace mentor from MGLSD. The process started with introduction of the project to Gomba district management, the district team that included the DCDO, district planner, PSWO and CDOs. They were thereafter oriented on the data collection tools to be used. The district team subsequently oriented and supervised the VHTs and LCs who carried out the actual data collection. Data was then submitted by the collectors to the CDOs, entered by the PSWO and jointly analysed by the fellows and the district team.

The project managed to cover 26 parishes out of 37 and 155 villages out of 277 and it identified 4,775 OVC, 2,446 (52.2%) males and 2,329(48.8%) females from 1,797 households. A list of OVC and service providers was generated and is available in the Community Based Services Department.

Eight staff; DCDO, Planner, PSWO and five sub county CDOs were trained on data collection, entry, analysis and dissemination. An access database was developed and will be updated by the Community Based Services Department staff. A CSO list was also generated which will help in following up them up for reporting and coordination and planning meeting. Resource materials have also been distributed up to CSO and sub county level. A modem and a flash disk were provided to facilitate in internet access and data storage.

1.0 Introduction and background The Ministry of Gender, Labour and Social Development (MGLSD) is a lead government agency mandated to ensure that the rights of all children including Orphans and other Vulnerable (OVC) are promoted and upheld. In order to meet its obligations, the Ministry in 2007 with support from UNICEF put in place an OVC National Implementation Unit (OVCNIU) to coordinate and manage the national OVC response. One of the key deliverables of OVCNIU is to ensure that there is a functional web-based OVCMIS system to monitor OVC implementation, measure progress and evaluate performance to ensure effective implementation of the National OVC Policy (NOP) and its National Strategic Program Plan of Interventions (NSPPI) by building human resource capacities, partnerships, routine OVC program monitoring, carrying out surveys and surveillance, developing an OVC database and data analysis, dissemination and utilization by all stakeholders at national, district and sub-county level. Uganda operates a decentralized system so the Ministry depends to achieve its mandate

1.1 OVCMIS OVC-MIS is a web based Management Information System to monitor OVC implementation, measure progress and evaluate performance to ensure effective implementation of National OVC Policy (NOP) and NSPPI. The OVCMIS is based on the conceptual framework that link;  The needs of OVC and their households,  The provision of services by government, donors and CSOs  The utilization of services by OVC

OVCMIS is a one stop center for OVC related information. Data is collected from all service providers through government structures and government sectors and ministries. The diagram below depicts the OVCMIS data flow. The focus of this project is to strengthen OVC reporting from service providers to the national system through local government structures as depicted in the diagram below.

1.2 OVCMIS data flow Figure 1: OVCMIS Data flow

UAC, NCC, NYC, Development partners NUDIPU, UBOS, (UNICEF, USAID, MEEPP, NPA ILO)

MGLSD-OVC NIU Other Ministries: MoH (OVC-MIS) MoFPD, MoLG MoLG, MoES

Service Providers: District: DHO, DEO NGOs, CBOs, FBOs Planner, OVC focal person CSOs, Institutions, Individuals SC/MC: CDOs

Community, Household, OVC

2.0 Literature Review The OVC Mapping Activity provides guidance on how data and geographic mapping can be used to better support decision makers and program planners to allocate resources effectively and efficiently. Decisions about OVC programs should rely on robust and multi-faceted data. Better informed decisions can be made when supported by the whole data infrastructure available for OVC programs. One of the findings of the OVC Mapping Activity is the need to make sure that OVC data to support OVC program decision making and OVC program decision makers is available and being used for planning purposes. Measure Evaluation, OVC Mapping Document.

• “… without information, things are done arbitrarily and one becomes unsure of whether a policy or program will fail or succeed. If we allow our policies to be guided by empirical facts and data, there will be a noticeable change in the impact of what we do.” Director of Policy, National Action Committee on AIDS, Nigeria

The Monitoring and Evaluation framework/plan for NSPPI2 identified three key data sources for OVC data;

i. Routine programme data collected and transmitted from OVC programme implementers (both government and non-government). Such data will flow from district based databases, records and reports.

ii. Use of sector databases e.g. Health Management Information System (HMIS), Education Management Information System (EMIS) and others.

iii. Survey data from research bodies like UBOS, UDHS, Universities etc

According to the Situation Analysis 2010 report, Children constitute about 57.4 percent of Uganda‟s total population of 30.7 million people (UNHS, 2009/2010). This amount to an estimated 17.1 million children below the age of 18 years, of whom 14 percent (2.43 million) have been orphaned, 45.6 percent (1,108,080) of the orphans are due to HIV and AIDS and 105,000 children between the ages of 0-14 are HIV positive. Approximately 51 percent (8.1 million children) are either 3

critically or moderately vulnerable, while 63 percent live with caregivers other than their biological parents. Currently, at least one in every four households has an orphan and 3 million children live below the poverty line.

Table 1: Regional Distribution of Vulnerable Children in Uganda (%)

Critically Vulnerable Moderately Vulnerable Generally Total Vulnerable Vulnerability Central 7.8 33.6 52.7 94.1 Eastern 7.5 45.5 43.8 96.8 North 9.3 53.6 35.9 98.8 Western 8.1 41.1 45.9 96.1 Average 8.1 42.9 45.1 96.1 Source: OVC Situational Analysis Report: MGLSD, 2010

The NSPPI2 identifies major causes of child vulnerability as poverty, armed conflict, HIV and AIDS and other diseases.

2.1 District Profile

2.1.1 History & Location of Gomba district Gomba district was curved out of Mpigi district in 2010. It is located in the Central Region sometimes referred to as Buganda Region. It borders with districts of Butambala in North East and East, Mityana in the North, Mubende in the North West, Kalungu to the South and South West and Sembabule to the West. The district headquarters is about 85 Km from Kampala, the capital city of Uganda.

2.1.2 Population and Demographic characteristics According to the 2012 UBOS Population projections, Gomba district has a total population of 152,800 of whom 75,700(49.6%) are male and 77,100(50.4%) are females. Its population density is 230 persons per Sq Km and it has an annual growth rate of 1.43% per annum. In pastoral areas of Maddu sub-county the density tends to show a decline. Gomba District covers an area of 1,541.13

Square Km, which is about 0.07% of the country‟s size. Out of the total area, 218.9 Sq. Km is occupied by water and wetlands.

2.1.3 Administrative Units and Lower Local Governments The District is made up of one county namely, Gomba. It has 4 rural sub-counties and 1 urban council, that is, Kanoni Town Council. Gomba District has 37 parishes and 277 villages.

Table 2: Distribution of population per sub-county

Sub Number of Number of Total Population Children County Parishes villages (42%) Males Females Total Kabulasoke 9 103 24,300 24,400 48,700 20,454 Kanoni TC 2 10 4,200 4,100 8,300 3,486 Kyegonza 10 44 16,700 17,000 33,700 14,154 Maddu 6 60 14,100 14,700 28,800 12,096 Mpenja 10 60 16,400 16,900 33,300 13,986 All 37 277 75,700 77,100 152,800 64,176 Source: Gomba district planning unit, 2012

3.0 Problem Statement

3.1 Background to the problem An assessment of the OVC monitoring system in Uganda conducted in April 2011 by the Institute for Development in Economics and Administration (IDEA) International contracted by UNICEF headquarters in New York, using the OVC Monitoring and Evaluation system Strengthening Tool (OVC MESST) observed that a solid platform for building an effective OVC M&E system exists at the Ministry, however, some areas that need improvement were noted to include: development of human capacities, creating partnerships, routine OVC program monitoring, surveys and surveillance, OVC databases and data dissemination and use.

In 2009, USAID, the principal partner of the Ministry in the national OVC response, put out a Request For Application (RFA) to strengthen OVC systems in 80 districts that existed by the FY 2008/09. In 2010, the SUNRISE project that won the USAID RFA, started working in the 80 districts leaving out the 32 new districts and 8 Municipalities that were created in 2010.

This has therefore left a service gap since new districts are disproportionately lacking in capacity and resources to manage the OVC response at their level including operationalizing the OVCMIS. The Ministry has embarked on efforts to solicit funding assistance from different stakeholders to support the delivery of OVC services in the 32 new districts including strengthening the OVC-MIS system.

The new districts and municipalities left out in the SUNRISE OVC project are lacking in the capacity to operationalize the web based OVC MIS that would contribute to the effective coordination and management of the OVC response in those districts in their current state. The staff levels are low at an average of 54% according to the Ministry of Public Service.

In September 2011, the fellows on this project carried out a quick survey in 32 new districts and 8 Municipalities and they found out that only 8 districts has no access to the national electricity grid and that only 25% of CBSD staff has computer application skills. On building partnerships, it was found out that all the new districts and municipalities did not have updated CSO registers and had never done any support supervision and coordination meetings for key OVC stakeholders since coming into existence.

Analysis of the data from the OVCMIS shows that only 10 out of the 32 new districts have submitted data at least once and even not on time or regularly. Gomba is among the districts that have not reported. Support supervision reports also indicate that the quality of submitted data is poor.

The Ministry planned to roll out the OVC MIS to all the 112 districts in the country since 2009. Support for 80 districts was secured under the SUNRISE OVC project. 32 Districts including Gomba did not receive any support to roll out OVC MIS. In Gomba, staff lack the basic skills for OVCMIS data collection, analysis and online reporting. The focal office does not have a printer for printing data collection tools. There was no internet connectivity for online reporting. Parishes are very large with many villages. CDOs have no motorcycles.

In view of the above problems and the time and budget allocated to this project, Gomba district which is within easy reach of project implementers was selected to act as a pilot district where success stories, good practices and challenges will be documented and shared to inform implementation in the rest of the districts and municipalities.

3.2 Justification/Rationale for the Project This proposed project is in line with the Ministry‟s mandate of leading, managing, coordinating, monitoring and evaluating of the national OVC response. Apart from the financial support and training given to the fellows, the Ministry expects expert advice from MakSPH-CDC fellowship program to support the

operationalization of the OVC-MIS in Gomba district by training local government staff in computer applications and supporting districts to carry out service providers‟ and OVC mapping, support supervision and hold CSO coordination meetings. At the end of the project, we expect regular and timely reporting of quality OVC data to guide OVC planning and decision making.

The lessons learnt from this project will be replicated in the rest of the districts and other municipalities where the SUNRISE project does not exist.

3.3 Conceptual framework The implementation of this project will be based on the Measure Evaluation Data Use Cycle. According to this cycle, data collection and use of data follows an identified pattern. This pattern is known as the Data Use Cycle. According to this pattern, there is an initial demand for data. Data are then collected and made available to decision makers. Once the data is available, it will then be used to inform decisions. As data is used for decisions, demand for more data will grow.

Figure 2: Data Use Cycle

Adopted from Measure Evaluation

3.4 Project Objective Overall Objective To improve reporting and utilization of OVC data in new districts and municipalities in order to lead, manage, coordinate, monitor and evaluate the OVC responses Specific Objectives:

i. To identify all OVC, their households and service providers in Gomba district. ii. To build the capacity of the district to collect, analyze, report and use OVC MIS data. iii. Strengthen OVC coordination in the district

4.0 Methodology/Approach The project was implemented in collaboration with Gomba district local government administration staff. The process started with meetings to the district management staff that include the CAO, district chairman, RDC, Secretary for social services, district planner, DCDO, PSWO and sub county CDOs. The district staff and CDOs were then oriented on the data tools to be used and they were assigned the responsibility of training the VHTs on the data tools in their respective sub counties. The project was largely implemented by VHTs who collected data from their villages under supervision of the sub county CDOs who were coordinated by the PSWO, planner and DCDO.

4.1 Project implementation The project was be implemented in Gomba district from October 2011 to July 2012 and success stories, lessons learnt and challenges will be documented and shared to inform successful rollout to the rest of the districts and municipalities. The project will be implemented up to Village level.

The Ministry has a comprehensive National Strategic Program Plan of Interventions (NSPPI-2) for OVC, M&E framework & M&E plan with indicator and accompanying data collection tools & Standard operating procedures. The project will therefore be implemented in-line with the Ministry strategies, guidelines, laws and plans. This project is based on the framework given in appendix.

4.2 Data collection Data collection was conducted by the VHTs under the supervision of the sub county CDOs, district planner, DCDO and PSWO. Each village was assigned one VHT and given the necessary data collection materials and a moderate facilitation for this exercise. The exercise started with orientation of district staff on the data tools, this was followed by field pretesting. The CDOs were then given the responsibility to orient the VHTs on the tools and oversee the whole process. OVC identification was based on the UNICEF “Three factors OVC identification”

that looks at orphans, children out of school and disabled, but other criteria indicated in the OVC policy like child headed household, under care of elderly, child mothers, child labourer poverty stricken and HIV positive children were also considered. The VHTs were asked to identify households with children with these characteristics and register them using the provided tools. The tools are attached in appendix.

4.3 Data quality assurance Data quality assurance was assured at all levels of data handling. The CDOs under supervision of PSWO, DCDO, Planner and the fellows were facilitated to supervise and support the data collectors to make sure that data is of quality. Five households were selected from three sub counties and visited by the fellows and the PSWO to verify the data collected. The PSWO, DCDO and planner went through the data tools to check for data quality issues before data entry. Other quality checks were enforced during designing of data entry screens. Data cleaning was also done before data analysis.

4.4 Data Validation This was done at different levels and the fellows also requested the district staff to continuously carryout this exercise to ensure that the list generated reflects the current changes on the ground. Because of limited resources, the fellows were only able to validate data for ten households; four from Kanoni Town Council and six from Kabulasoke Sub County. Of the ten households visited, two could not account for four children on the list so the fellows decided to exclude them from the list. There were some two cases of children who seemed to be outside the required age range but this was because they could not ascertain their dates of birth. Each CDO was asked to select at least five households per parish and carryout physical validation of the data collected. During the dissemination, the fellows also told encouraged the councillors to regularly get access to the data at the district and validate it.

4.5 Data entry and analysis Data entry was done by CDOs using Ms Access under the supervision of the Planner, PSWO and the fellows. Data was then exported SPSS and Excel for analysis. Data analysis was jointly done by the fellows, district planner, PSWO and DCDO.

4.6 Data dissemination The project was climaxed with the dissemination workshop held at the district Headquarters. The dissemination workshop participants included the CAO, Chairman LC5; district councilors; sector heads; sub county CDOs; CSO representatives; DOVCC members; religious leaders and other invited guests. In total 40 stakeholders attended the dissemination workshop.

5.0 Project findings and deliverables

5.1 Introduction This section will be discussed in line with the three objectives as stipulated in the project objectives. These are;

i. To strengthen the capacity of districts to coordinate and manage OVC responses. ii. To improve on the data quality and reporting of OVC data iii. Build the capacity of staff/districts to analyze and utilize data This section will therefore be discussed according to the two deliverables mentioned above.

5.2 To identify all OVC, their households and service providers in Gomba district The key activities under this objective were to identify OVC mapping and service provider mapping. The OVC service provider mapping aims at identifying all the OVC in the districts up to their household. A database of all the OVC in the district has been generated and will be managed by the community department. Service providers will be required to liaise with the community department and access the lists from where they can identify children to support. These lists will also act as baseline OVC figures.

The OVC service provider mapping aims at identifying all the service providers in the district so that they can be coordinated by the district for effective referral and reporting. These service providers will be brought together on a quarterly basis to plan together and share experiences. These quarterly meetings can be used as an avenue for getting quarterly reports from the service providers instead of having the district staff to have data collection as a separate activity. The list of service providers will be included in the OVCMIS and will help to know who has reported and who has not reported so that we can be able to make follow ups.

5.2.1 OVC Mapping Results The OVC mapping findings in this section will be presented up to the parish level and according to three factors; orphan hood, out of school and disability. The results will be disaggregated by gender, age and administrative units (district, Sub County, parish and village). Ms Access database was developed and installed in the community department to be updated and referred to. Lists of orphans, out of school children and disabled children can be generated from the database. Box files containing the data collected are also available in the community department for future reference. The data is kept according to Sub County, parish, village and household.

General Overview

This exercise identified 4,7751 OVC, 2,446(52.2%) males and 2,329(48.8%) females from 1,797 households. This represents an average of 2.6 OVC per household and represents 72% of the total children in the district. Of the total OVC, 4,016 (84.1%) are orphans, 185 (3.9%) are disabled and 333(8.1%) of children between 6-17 years are out of school3.

Table 3: Distribution of OVC by Sub County and sex.

Sub county Parishes Villages Males Females Total covered covered Kabulasoke 7/9 63(61%) 919(49.9%) 921(50.1%) 1,840(38.5%) Kanoni TC 2/2 9(90%) 209(51.4%) 198(48.6%) 407(8.5%) Kyegonza 10/10 44(100%) 709(51.3%) 674(48.7%) 1,383(29.0%) Maddu 5/6 28(46%) 462(54.7%) 382(45.3%) 844(17.7%) Mpenja 2/10 11(18%) 147(48.8%) 154(51.2%) 301(6.3%) All 26/37 155(56%) 2,446(51.2%) 2,329(48.8%) 4,775(100%)

1 This data from 25(67%) out 37 parishes and 155(56%) out of 277 villages

2 This percent represents data from only 155(56%) villages. It does not necessarily represent the whole district percentage. The percentage of OVC for central region is 36% according to UNHS 09/10

3 These lists can be generated from the database at the community department

Figure 3: Distribution of OVC by Sub County and sex

Table 4: Distribution of OVC according to Orphan hood, Out of school and Disability

Orphan hood Out of School Disability (6-17 Years) Sub Males Females Total Males Females Total Males Females Total County Kabulasoke 668 659 1,327 68 61 129 26 22 48 Kanoni TC 200 187 387 5 1 6 7 5 12 Kyegonza 678 636 1,314 69 52 121 43 48 91 Maddu 372 331 703 40 17 57 19 9 28 Mpenja 139 146 285 14 12 8 6 4 6 Gomba 2,057 1,959 4,016 194 139 333 99 86 185

Table 5: Relationship between orphanhood, Disability and School Attendance

Schooling Orphan Disabled No Yes No Yes No 91(17.2%) 242(6.8%) 291(7.4%) 42(26.6%) Yes 437(82.8%) 3,295(93.2%) 3,616(92.6%) 116(73.4%) Pearson chi2(1) = 65.9806 Pearson chi2(1) = 73.9251 Pr = 0.000 Pr = 0.000

The table 4 shows that both orphan hood and disability significantly affect school attendance.

Figure 4: Percentage of Orphans hood, out of school and disabled to total OVC

Table 6: Vulnerability by age Groups

0-5 Year 6-14 Years 15-17 year Total

Sub

County

All

Males Females All Males Females All Males Females Males Females All Kabulasoke 73 171 344 584 592 1,176 162 158 320 919 921 1,840 Kanoni TC 36 31 67 145 118 263 28 49 77 209 198 407 Kyegonza 70 65 135 500 498 998 139 111 250 709 674 1,383 Maddu 81 45 126 288 277 565 93 60 153 462 382 844 Mpenja 21 17 38 100 114 214 26 23 49 147 154 301 Gomba 381 329 710 1,617 1,599 3,216 448 401 849 2,446 2,329 4,775

Figure 5: Percentage of OVC by age groups

5.2.2 Map showing distribution of OVC by parish

Figure 6: Map showing distribution of OVC by parish

5.2.3 Service Provider Mapping Results The service providers are classified under three categories;

(i) Schools and other training institutions (ii) Health facilities (iii)Civil Society Organisations (CSOs)

Schools and other training institutions

The Schools and other training institutions in the district are classified in table 1

Table 7: Distribution of Schools and other training institution

Sub county Primary schools Secondary schools Vocational Tertiary institutions institutions Gov‟t Private Gov‟t Private Gov‟t Private Gov‟t Private Kabulasoke 25 2 3 1 0 0 1 0 Kanoni TC - - 1 1 0 0 0 0 Kyegonza 21 3 0 1 1 0 0 0 Maddu 19 1 1 0 0 0 0 0 Mpenja 24 2 1 1 0 0 0 0 All 89 8 6 4 1 0 1 0 Source: Gomba planning unit, June 2012

Health Facilities

The health facilities are classified as Hospitals, Health Center IVs (HC4s), Health center IIIs (HC3s), Health Center IIs (HC2s), and Clinics

Table 8: Distribution of Health Facilities in the District

Sub county Hospitals Health Health Health Private Center IVs Center IIIs Center IIs clinics Kabulasoke 0 0 1 3 Kanoni TC 0 0 1 Kyegonza 0 0 2 3 Maddu 0 1 1 3 Mpenja 0 0 1 3 All 0 1 6 12 Source: Gomba district planning unit, June 2012

Table 9: Civil Society organizations

No. Organisation Type of S/Cs of - Activities carried out organisation operation 1 Maddu AIDS CBO Maddu support organization 2 Gomba Para CBO Maddu … - legal association 3 Mpenja AIDS NGO Mpenja - care and counselling Association 4 Mpenja Para Mpenja - legal Association 5 Hope Again Kabulasoke - Network of NGOs/CBOs Children Implementing HIV/AIDS Network - Prevention and Awareness - Home based Care and mitigation - Counselling and psycho support 6 Yamba Kabulasoke - omwana olwa ssegwanga 7 Welfare Kabulasoke - Ministry 8 Lubaale Mpigi Kabulasoke - Counselling and support for in Faith and out of school youths Community - Coordination Project - Awareness raising through drama

9 Gomba AIDS All awareness creation on Support and HIV/AIDS and STIs Counselling counselling services Organisation Home visiting

Capacity building

Advocacy & IGAs

Herbal medicine

10 Gomba Rural Gomba Development Association

5.3 To build the capacity of the district to collect, analyze, report and use OVC MIS data. Under this objective, 8 staff (Planner, PSWO, DCDO and 5 sub county CDOs) were trained in the support supervision guideline and OVC quality standards. They were also trained on the newly developed Ministry data collection tools so that they can also train service providers. We agreed with district management to always have a separate budget for support supervision. CSO coordination meetings were also identified as an avenue for reminding service providers about OVC reporting and disseminating the information. The PSWO, Planner, DCDO and 2 CDOs were trained on OVCMIS data entry and cleaning.

The community department was also provided with an internet modem by the Ministry to facilitate online reporting.

Gomba district is among the districts getting facilitation from Mild May Uganda and we agreed with the district management to give support supervision a priority.

5.4 Strengthen OVC coordination in the district The planner, DCDO and probation officer were trained on how to export data from OVCMIS and how to carry out further analysis using Ms Excel like generating graphs. They were also given basic training on Power point presentation. It was agreed that data will always be analysed and presented to the DOVCC, TPC and SOVCC meetings for sharing.

In collaboration with Mildmay Uganda, one DOVCC and 5 SOVCCs were setup to discuss OVC issues. Mildmay Uganda is currently supporting these meetings.

5.5 Project Outcomes This project was selected well knowing the challenges faced by newly created districts in implementing OVC activities in the districts. These districts have no knowledge of the number of OVC in their districts, the IT infrastructure is generally poor and the staff lacks computer and other skills to manage the OVC response. Through this project, we have demonstrated that it is possible to strengthen the district systems even with little resources available. The district now has the numbers to start with to plan for OVC. A database was also developed and installed in the community department and can be updated and managed by the district.

After discussing with UNICEF about our methodology, UNICEF has now accepted to fund the remaining 31 new districts to carryout OVC identification and registration. They also adopted our tools and database management system. We will also play an important role in managing this process in these districts.

6.0 Lessons Learnt and Challenges

6.1 Lessons Learnt The participatory approach used offered the district staff opportunity to actively participate and implement most elements of the project. This approach built staff capacities in data collection, entry and analysis. It increased ownership of the project lessons since it was from their own findings. District staff who collected the data and could explain very well that the data collection was purely for planning purposes and not identifying children for immediate support. This reduced a lot excitement in the community compared to what happed in other district where similar exercise had been done by the Ministry. The project team learnt that communities and local authorities are aware of the plight afflicting vulnerable children but they are often over stretched and unable to intervene without external support. The copies of OVC data lists available at sub counties are accessible and useful to new projects targeting to support vulnerable children /families. Sharing of project data at any stage of implementation can attract attention and support. For the Gomba project UNICEF has already accepted to provide funding for covering the remaining parishes and villages. Access to Ministry resources like vehicles, computers, and printers consolidated the project partnership between the host organization and MAKSPH/CDC.

6.2 Challenges Faced During Project Implementation One of the biggest challenges faced was that Gomba district is big in size and could not be covered with the resources available. That is why we could only 56% of the villages were covered.

Another challenge was faced during data entry, Gomba district could only provide one computer but also there was another challenge of load shading. We therefore decided to transfer some data to Kampala to quicken the process. There was also a challenge of communication. Despite having the modem, it was not easy to access internet because of weak network in Gomba districts. We therefore depended on telephone communication which is also not good in most of the villages

7.0 Conclusions and Recommendations Our effort managed to cover only 155 (56%) of the villages, we recommend that the exercise be extended to the remaining parishes and villages. Information about the covered villages can be got from the CBSD.

CSO coordination is crucial for successful implementation of OVCMIS. They can be used to distribute data forms, deliver reports and share results. We therefore recommend that there should be at least one CSO coordination meeting per quarter. CSOs are requested to work with the districts to facilitate these meetings. Similar arrangements should be extended to sub county level for sharing Sub county information.

Both Orphanhood and disability were found to significantly affect school attendance. They should therefore considered as crucial factors while selecting the beneficiaries

This seems to be a relatively cheap method of identifying OVC in the district. We recommend that other districts use it for identifying OVC. The tools and database used in the Gomba project can be adopted.

We also recommend that MaKSPH-CD fellowship program should consider additional funding for such projects that are important yet expensive.

8.0 References Gomba District Development Plan 2010/2011 - 2014/2015, 2010

Measure Evaluation, OVC Mapping reference Document, 2011

Monitoring and Evaluation Framework and Plan for the National Strategic Programme Plan of Interventions for OVC, 2012

National OVC Policy, MGLSD, 2004

National Strategic Programme Plan of Interventions for OVC 2011/12-2015/2016, MGLSD, 2011

OVC Situation Analisis, MGLSD, 2010

9.0 Appendix

9.1 Project Causal Framework

Objectives Interventions/activities Outputs Outcomes Goal

1. To identify all 1.1 Facilitate districts to carryout OVC -Updated CSO lists in place Districts OVC, their mapping exercise able to households and -Relevant laws, policies, coordinate service 1.2 Avail districts with relevant publications; guidelines and strategic plans and laws, policies, guidelines and strategic providers in available & Accessible. manage plans Gomba district OVC - Two CSO meeting per quarter 1.3 Develop an OVC database and produce a responses CSO list -An updated OVC register in place

2. To build the 2.1 Provide districts with skills and -8 staff oriented & facilitated to Improved resources to carryout support supervision capacity of the carryout support supervision & OVC data for OVC activities OVC data collection tools district to collection collect, analyze, 2.2 Orient districts staff and CSOs on data -8 staff oriented on quality and reporting report and use collection tools standards OVC MIS data 2.3 Disseminate and train data staff on quality issues - 600 copies of data collection tools given to districts 2.4 Provide districts with enough supplies of data collection tools -4 staff trained in data entry and cleaning skills 2.5 Equip staff with data entry and cleaning skills -OVC lists in place 2.6 Orient and facilitate staff to carryout OVC mapping exercise

OVCMIS data utilized districtsby to guide planning for OVC interventions

3. Strengthen 3.1 Form and Support DOVCC and SOVCC to -4 quarterly meetings per year A well- OVC meet coordinated coordination in -One dissemination workshop per OVC the district 3.2 Facilitate districts to hold data quarter response dissemination workshops -4 coordination meetings per year 3.3 Help district to publish OVC information

3.4 Hold CSO coordination meetings

9.2 Servicer Provider Registration form MINISTRY GENDER LABOUR AND SOCIAL DEVELOPMENT CSO REGISTRATION FORM

District ………………………….Name of CSO/Institution ………………………………….……………………… No. of sub Counties covered…….…… out of ………… Year of Reg………………. Reg. No. ………..…………. CSO identification. No……………..……… District of Registration..…………………..……….…………………. Type of organization ……………………….…………………… Website……………………….………………… Contact person‟s name …………….……………………..………………… Title …………………………………. Postal address …………………………………. Physical Location ……………….………………………………… Email …………………………..………….…….. Tel: (mob) ……………………... Office …………………..…. Vision: ………………………………………………………………………………………………………………… …………………………………………………………………………………………………...... …………………………………………………………………………………………………………………………… Mission: ………………………………………………………………………………………………………………….…… …………………………………………………………………………………………………...... …………………………………………………………………………………………………………………………… Select Target Groups Covered: Policies, laws and guidelines: � Orphans and orphans households Has a � Children affected by armed conflict Oriented copy � Children abused or neglected NOP: � Children in conflict with the law NSPPI: � Children affected by HIV/AIDS or other diseases Children‟s Act � Children in need of alternative family care National Quality � Children affected by disability Stand rds: � Children in „hard-to-reach‟ areas � Children living under the worst forms of labour Child Labor Policy � Children living on the streets

CPAs covered: Prov d Referred 1. Economic Strengthening: 2. Food and Nutrition Security: 3. Health, water, sanitation & shelter: 4. Education: 5. Psychosocial Support & Basic care: 6. Child Protection & Legal Support 7. Legal, Policy & Institutional Framework:

Filled by: ……………. ………..Title ………..…Tel: ………… Sign ……………………… Verified by ………… ………… Title ……………..……………Sign………………….

9.3 OVC Identification and registration Form District…………………………… Sub county …………………………….. Parish……………………. Village …………………………………….

Interviewer‟s Name……………………………………… Date of interview …………………… Name of respondent……………………………..

House Hold #...... Number of people living in this household………Males …… Females …..…Below 19 Years

Name of respondent …………………………………………… Sex …… Age………… Education level ………………..Occupation….. …………

House hold characteristics

# Name of the Child Relation Year Comments

(Only Children below 19 years) with HH of 7

Head birth bility

enteras many) enteras many)

Age Sex (M/F) Education Level in Currently (Y/N) school Orphan (Y/N) type Orphan of Type(s) Vulnera ( Any disability(Y/ N) of Type(s) Disability ( 6 1

4 1) Nursery 2) Primary 3) Secondary 4) Vocational 5) None 5 1) Lost Both parents 2) Lost father 3) Lost mother 6 1) Orphan (2) Disabled (3) Abused (4) In contact with law (5) HIV+ (6) In child headed family (7) Living on Street (8) Out of School (9) Poverty stricken (10) Under elderly/disabled care giver (11) Other 4. 1) Crippled 2) Blind 3) Deaf 4) Dump 5) Albino 6) Other