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

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 Presentation Transcript

  • 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.