Presented at the PEPFAR conference on Health Information Systems Integration, Sustainability and Country Ownership (HISISCO) that took place August 9-13 by John Spencer.

1. Achieving integration and country ownership through a data model and cooperative framework: A Kenya example John Spencer Charles Pill MEASURE Evaluation HISISCO Conference, August 2010

2. Acknowledgements OVC TWG USAID Africa Bureau USAID Kenya APHIA II Evaluation

3. Kenya OVC Programs Key OVC Stakeholders: Government of Kenya Ministry of Gender, Children and Social Development US Government PEPFAR UNICEF

4. Data streams

5. The world is complex, take advantage of as much data as possible

6. OVC Mapping Activity MEASURE Evaluation Field Visit Objective: Build linkages between OVC program data from OVC stakeholders This can lead to better use of OVC program data and improved programs and outcomes

7. What we did Meetings with select partners to discuss concept and gain commitment: USAID, Ministry of Gender Children and Social Development, UNICEF, NACC, NBS, others Data use interview Identify and access available information (data snapshot)

8. Barriers to Integration Data issues Time issues Logistical issues (how to do it) Recognition of value of integration, just not able to make it happen

9. Data Snapshot

10. Everything happens somewhere The geographic context opens doors.

11. We propose a data model that can affect change at the data and system level.

12. Integrating data using a common data model Cash Transfer Database (Districts selected for illustration purposes) Kenya Data Model NACC Prevalence Report Integrated Data Table PEPFAR KPMS

13. Kenya Data Model Six elements that allow data to be linked together Geography Services provided Funder Implementing organization name Timeframe Number of beneficiaries

14. Kenya Data Model An agreed upon model for facilitating linkage of data Doesn’t necessarily open the door to all data, but does provide a framework that gives control to data owners Geography (district) is key variable and uses GOK district census codes

15. Kenya Data Model Leads to organic, routinized integration of data Data Model relies on existing GOK standards, leads to country ownership Easily adapted to existing reporting structures and data Elements are already being collected Reporting system can/does contain additional information that can be shared if so desired

16. Rural Poverty Estimates 2003 and Percent Orphans Served by PEPFAR 2009, Nyanza Province Kisumu Siaya Nyando Bondo Rachuonyo Suba Nyamira Homa Bay Cash Transfer District Kisii Central Gucha (South Kisii) Migori Kuria Map produced May 2010 Poverty Source: Geographic Dimensions of Well Being in Kenya Report, Kenya Cent. Bur. of Stat., 2003 Percent Orphans Served Calculated by dividing 2009 KPMS Number of Orphans Served (table 8.1) by Estimated Number of OVC from NACC Prevalence Report, 2007 (Appx. 3)

17. Beyond the technical Agreement at leadership level as well as technical level Process can be lead by MOG

18. Agreement on Approach

19. Other advantages Applicable to other sectors Applicable to other countries

20. Next steps Stakeholder meeting to finalize data model Implementation

21. Integration Builds linkages between OVC reporting systems Leads to leveraging of existing resources Better awareness of what is happening where

22. Sustainability Recognition of value from stakeholders Limited extra cost Can be implemented so that linkages are automatic

23. Country Ownership Supported by key government stakeholders Relies on existing GOK systems and standards Collaborative process for defining data model

24. MEASURE Evaluation is funded by the U.S. Agency for International Development and is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill in partnership with Futures Group International, ICF Macro, John Snow, Inc., Management Sciences for Health, and Tulane University. The views expressed in this presentation do not necessarily reflect the views of USAID or the United States Government.