Strengthening OVCMIS Repor and Utilisation in Ngthening OVCMIS
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Strengthening OVCMIS reporting and Utilisation in Gomba district Presented by Kashemeire e Obadiah & Magall Moritz MAKSPH‐CDC Medium m Term M&E Fellows 2011/12 Presentation Outline line • Background • Problem Statement • Project Objectives • Project Implementation • Project deliverables • Challenges • Lessons learnt • Recommendations • Acknowledgements 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 . • The Ministry works through district local governments to deliver decentralized child care and protection services for children. OVC‐ ‐MIS The OVC‐ Management Information System was established by the Ministry to monitor OVC implementation and evaluate performance of all stakeholders to ensure effective implementation of National OVC response esponse. The OVCMIS is based on the conceptual framework that links; • The needs of OVC and their households • The provision of services by government, donors and CSOs. • The demand and utilization of services by the OVC and their households ds. OVCMIS data flow flow • OVCMIS data flow Problem Statement 32 “new” Districts including Gomba do not receive any support to roll out OVCMIS from SUNRISE project which operates in 80 “old” districts. In Gomba, staff lacked 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. Project Implementation Area In view of the 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. Project Objectives • Overall objective: To improve reporting and utilization of OVC data in Gomba district in order to be able to lead, manage, coordinate, monitor and evaluate the he OVC response. • 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 Project methodology • The project was implemented by the fellows in collaboration with Gomba District Local Government staff. Eight District staff and CDOs were oriented on the data tools to be used in OVC MIS data collection, analysis and reporting and they in turn trained the VHTs and Parish chiefs in data collection tools in the respective sub counties. • Data was collected by VHTs/LCs. Data entry was entered by the PSWO at the district. • Data validation was done by the fellows and district staff by randomly selected parishes by visiting the twelve mapped households and talking to some of the OVC themselves. Project deliverables The key achievements included ed: The establishment of an OVC data base in the District. The Identification of the OVC, their households and the service providers. The transfer of skills to 8 district staff who in turn trained data collectors. The District Community Development Department staff have taken en over the management, sharing and utilization of the data base generated for planning and decision making on OVC issues at district and sub county levels els. The district is now able to report on OVC issues es on line. The district has established for the first the time the numbers of OVC in the parishes and villages that were mapped as evidenced by the results ts below: OVC mapping findings • The exercise identified 4,775 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 7% of the total number of children in the the district. Out of the total number of OVC above, orphans are 4,016 (84.1%) , Children with disabilities are 185 (3.9%) and 333(8.1%) of children between 6 ‐17 years were out of school. • The above data is only from 25 ( (67%) out of 37 parishes and 155 (56%) out of 277 villages Graph showing OVC per sub county y Percentage of Orphans, out of school and disabled Percentage of OVC by age groups s The biggest number of OVC falls in the category of 6‐14 years which is a school going age Map showing distribution of OVC by parish sh Service providers Schools and other training institutions 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 Service Providers… • Health facilities Sub county Hospitals Health Center IVs Health Center IIIs Health Center Private clinics IIs 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 Other deliverables • 8 staff were also trained in support supervision and monitoring of OVC service level quality standards. • Fellows agreed with district management to always have a separate budget for OVC support supervision. • We used this project to distribute OVC resource materials to service providers. • We developed an access database that to capture OVC data and was installed at CBSD D OVC Database e Other deliverables (Cont’d • In collaboration with Mildmay Uganda, one District OVC Coordination (DOVCC) meeting and 5 Sub county OVC Coordination (SOVCC) meetings discussed OVC issues from the mapping reports. Mildmay Uganda has pledged to continue supporting these multi‐ sectoral coordination meetings s. • This project has also attracted funding for carrying out OVC mapping in the remaining 31 new districts. The project tools and database were also adopted for the rollout exercise. Lessons Learnt • The involvement of both the political and technical leadership at all levels of data collection ensures its validity and ownership. • The community participation in validation of data promotes ownership and clean data sets. • CSOs coordination is critical for the successful implementation of OVCMIS because they can distribute data forms, deliver reports and share results to supplement the chiefs & LCs. • Basic data analysis and use can be done at all levels by stakeholders if guided well. Recommendations ns • We only covered only 155(56%) of the villages, we recommend that the exercise be extended to the remaining parishes and villages. • We 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 sub county information . Dessemination photos Dissemination photos ACKNOWLEDGEMENTS • We acknowledge the enormous technical, academic and financial support of the following: • MAKSPH/CDC. • Gomba District leadership. • Ministry of Gender, Labour and Social Development. • Colleagues the mid term M&E Fellows 2011/12. Thank you ou.