Improving Public Health Programs Through The Use of A Geographically Informed Data Model: A Strategy for Low Capacity Environments John Spencer Sr. Geospatial Analyst MEASURE Evaluation American Evaluation Association Meeting Washington D.C. October 16, 2013
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Improving Evaluation of International Public Health Programs Through the Use of a Geographically Informed Data Model
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Improving Public Health Programs Through The Use of A Geographically Informed Data
Model: A Strategy for Low Capacity Environments
John SpencerSr. Geospatial AnalystMEASURE Evaluation
American Evaluation Association MeetingWashington D.C.October 16, 2013
A health worker reviews health records in a Kenyan district health facility, 2012
Using data for evaluation and evidence based decision making
Transitioning to a data rich environment
Data has become stovepiped
Barriers to using reporting data
Barriers to using reporting data
Technical• Do I have to clean the data?• Is it in a compatible format?• Can the data link to other data?
Non-Technical• Who has the data?• How do I get a copy of the data?• When was it collected?
A geographically informed data model can address both technical and non-technical barriers
Data modelsCommon in other sectors but not so common in global public health.
Data Model
1. Location of program2. Service provided3. Number of beneficiaries4. Implementing organization5. Year or date
Linked using Geography
Use numeric geographic identifiers
District Population
Coast 79,133
Mountain 66,251
North 23,415
ID District Population
101 Coast 79,133
103 Mountain 66,251
105 North 23,415
• Facilitates linking• Many countries have district codes, but they may not be
widely used• If there aren’t codes, there are international standards that
can be used to create codes.
Hard to link Easier to link
Not rocket science
Geography can be the common link across data
Non-technical side
• Creates consistency with data• Can help achieve buy-in about sharing data– Makes it easier for data producers to link data
The research presented here has been supported by the President’s Emergency Plan for AIDS Relief (PEPFAR) through the United States Agency for International Development (USAID) under the terms of MEASURE Evaluation cooperative agreement GHA-A-00-08-00003-00. Views expressed are not necessarily those of PEPFAR, USAID or the United States government.
MEASURE Evaluation is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill in partnership with Futures Group, ICF International, John Snow, Inc., Management Sciences for Health, and Tulane University.