Achieving integration and country ownership through a data model and cooperative framework: A Kenya example<br />John Spen...
Acknowledgements<br />OVC TWG<br />USAID Africa Bureau<br />USAID Kenya<br />APHIA II Evaluation<br />
Kenya OVC Programs<br />Key OVC Stakeholders:<br />Government of Kenya<br />Ministry of Gender, Children and Social Develo...
Data streams<br />
The world is complex, take advantage of as much data as possible<br />
OVC Mapping Activity<br />MEASURE Evaluation Field Visit<br />Objective:<br />Build linkages between OVC program data from...
What we did<br />Meetings with select partners to discuss concept and gain commitment:  <br />USAID, Ministry of Gender Ch...
Barriers to Integration<br />Data issues<br />Time issues<br />Logistical issues (how to do it)<br />Recognition of value ...
Data Snapshot<br />
Everything happens somewhere<br />The geographic context opens doors.  <br />
We propose a data model that can affect change at the data and system level.<br />
Integrating data using a common data model <br />Cash Transfer Database<br />(Districts selected for illustration purposes...
Kenya Data Model<br />Six elements that allow data to be linked together<br />Geography<br />Services provided<br />Funder...
Kenya Data Model<br />An agreed upon model for facilitating linkage of data<br />Doesn’t necessarily open the door to all ...
Kenya Data Model<br />Leads to organic, routinized integration of data<br />Data Model relies on existing GOK standards, l...
Rural Poverty Estimates 2003 and Percent Orphans Served by PEPFAR 2009,<br />Nyanza Province<br />Kisumu<br />Siaya<br />N...
Beyond the technical<br />Agreement at leadership level as well as technical level<br />Process can be lead by MOG<br />
Agreement on Approach<br />
Other advantages<br />Applicable to other sectors<br />Applicable to other countries<br />
Next steps<br />Stakeholder meeting to finalize data model<br />Implementation<br />
Integration<br />Builds linkages between OVC reporting systems<br />Leads to leveraging of existing resources<br />Better ...
Sustainability<br />Recognition of value from stakeholders<br />Limited extra cost<br />Can be implemented so that linkage...
Country Ownership<br />Supported by key government stakeholders<br />Relies on existing GOK systems and standards<br />Col...
MEASURE Evaluation is funded by the U.S. Agency for <br />International Development and is implemented by the<br />Carolin...
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Achieving integration and country ownership through a data model and cooperative framework: A Kenya example

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

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Achieving integration and country ownership through a data model and cooperative framework: A Kenya example

  1. 1. Achieving integration and country ownership through a data model and cooperative framework: A Kenya example<br />John Spencer<br />Charles Pill<br />MEASURE Evaluation<br />HISISCO Conference, August 2010<br />
  2. 2. Acknowledgements<br />OVC TWG<br />USAID Africa Bureau<br />USAID Kenya<br />APHIA II Evaluation<br />
  3. 3. Kenya OVC Programs<br />Key OVC Stakeholders:<br />Government of Kenya<br />Ministry of Gender, Children and Social Development<br />US Government<br />PEPFAR<br />UNICEF<br />
  4. 4. Data streams<br />
  5. 5. The world is complex, take advantage of as much data as possible<br />
  6. 6. OVC Mapping Activity<br />MEASURE Evaluation Field Visit<br />Objective:<br />Build linkages between OVC program data from OVC stakeholders<br />This can lead to better use of OVC program data and improved programs and outcomes<br />
  7. 7. What we did<br />Meetings with select partners to discuss concept and gain commitment: <br />USAID, Ministry of Gender Children and Social Development, UNICEF, NACC, NBS, others<br />Data use interview<br />Identify and access available information (data snapshot)<br />
  8. 8. Barriers to Integration<br />Data issues<br />Time issues<br />Logistical issues (how to do it)<br />Recognition of value of integration, just not able to make it happen<br />
  9. 9. Data Snapshot<br />
  10. 10. Everything happens somewhere<br />The geographic context opens doors. <br />
  11. 11. We propose a data model that can affect change at the data and system level.<br />
  12. 12. Integrating data using a common data model <br />Cash Transfer Database<br />(Districts selected for illustration purposes)<br />Kenya Data Model<br />NACC Prevalence Report<br />Integrated Data Table<br />PEPFAR KPMS<br />
  13. 13. Kenya Data Model<br />Six elements that allow data to be linked together<br />Geography<br />Services provided<br />Funder<br />Implementing organization name<br />Timeframe<br />Number of beneficiaries <br />
  14. 14. Kenya Data Model<br />An agreed upon model for facilitating linkage of data<br />Doesn’t necessarily open the door to all data, but does provide a framework that gives control to data owners<br />Geography (district) is key variable and uses GOK district census codes<br />
  15. 15. Kenya Data Model<br />Leads to organic, routinized integration of data<br />Data Model relies on existing GOK standards, leads to country ownership<br />Easily adapted to existing reporting structures and data<br />Elements are already being collected<br />Reporting system can/does contain additional information that can be shared if so desired<br />
  16. 16. Rural Poverty Estimates 2003 and Percent Orphans Served by PEPFAR 2009,<br />Nyanza Province<br />Kisumu<br />Siaya<br />Nyando<br />Bondo<br />Rachuonyo<br />Suba<br />Nyamira<br />Homa<br />Bay<br />Cash Transfer District<br />Kisii<br />Central<br />Gucha<br />(South Kisii)<br />Migori<br />Kuria<br />Map produced May 2010<br />Poverty Source: Geographic Dimensions of Well Being in Kenya Report, Kenya Cent. Bur. of Stat., 2003<br />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)<br />
  17. 17. Beyond the technical<br />Agreement at leadership level as well as technical level<br />Process can be lead by MOG<br />
  18. 18. Agreement on Approach<br />
  19. 19. Other advantages<br />Applicable to other sectors<br />Applicable to other countries<br />
  20. 20. Next steps<br />Stakeholder meeting to finalize data model<br />Implementation<br />
  21. 21. Integration<br />Builds linkages between OVC reporting systems<br />Leads to leveraging of existing resources<br />Better awareness of what is happening where<br />
  22. 22. Sustainability<br />Recognition of value from stakeholders<br />Limited extra cost<br />Can be implemented so that linkages are automatic<br />
  23. 23. Country Ownership<br />Supported by key government stakeholders<br />Relies on existing GOK systems and standards<br />Collaborative process for defining data model<br />
  24. 24. MEASURE Evaluation is funded by the U.S. Agency for <br />International Development and is implemented by the<br />Carolina Population Center at the University of North <br />Carolina at Chapel Hill in partnership with Futures Group<br />International, ICF Macro, John Snow, Inc., Management <br />Sciences for Health, and Tulane University. The views <br />expressed in this presentation do not necessarily reflect<br />the views of USAID or the United States Government.<br />

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