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Using Maps in Decision Making to Strengthen Programs for Orphans and Vulnerable Children

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Jen Curran presented for this September 2012 Child Status Network webinar discussing the mapping of orphans and vulnerable children program data for decision making.

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Using Maps in Decision Making to Strengthen Programs for Orphans and Vulnerable Children

  1. 1. Using maps in Decision-Making toStrengthen Programs for Orphans and Vulnerable Children Jen Curran MEASURE Evaluation September 2012
  2. 2. • OVC Data Demand and Use Workshop, March 2012• Challenges to mapping data related to OVC and OVC programs• Successes in mapping data related to OVC and OVC programs• Where do we go now? Future in mapping OVC related data.
  3. 3. OVC Workshop in March Three country teams; Ethiopia, Uganda & Tanzania Participants were a mix of Ministry, USAID, IPs, and CBOs. Goals were to help facilitate the broader use of data for evidence-based programming and to increase demand for an increase in data availability and quality.
  4. 4. Types of decisions OVC programs need to make  Allocating resources to sub-partners *  Determining resource allocations for specific activities within the OVC program (health, nutrition, education, etc…) *  OVC program quality improvements  Determining location of OVC service delivery **  Determining unmet OVC needs *  OVC program expansion *  OVC program monitoring  Allocating resources to Ips ** Maps can be used to help make these decisions** Maps are imperative for making these decisions
  5. 5. Types of program data use/have OVC Situational Analysis  National HIV Prevalence Data OVC MIS  DHS/AIS/MIS APR Reports  Impact Evaluations National Strategic Plans  IP Quarterly Reports OGAC Priority reports  Census data COP Planning  Education statistics Human Resources data  ILO statistics LQAs & DQAs  Household expenditures data Costed-plans of action  FEWS NET Anecdotal information
  6. 6. Mapping Orphans and Vulnerable Children Data CHALLENGES
  7. 7. Challenges to Mapping OVC data Lots of differenttype of indicators
  8. 8. Challenges to Mapping OVC dataData comes infrom differentsources and indifferent sizesand shapes:
  9. 9. Challenges to Mapping OVC data:Lack of disaggregation
  10. 10. Challenges to Mapping OVC data• Unclear geographic boundaries • Different names or spelling
  11. 11. Challenges to Mapping OVC dataUnlinkable datasets due to difference in regions.
  12. 12. Challenges to Mapping OVC data Some of its proprietary and some people don’t like sharing…Source: http://www.ulsterbusiness.com/articles/2012/04/16/cim-ireland-data-protection-event
  13. 13. Mapping Orphans and Vulnerable Children Data SUCCESSES
  14. 14. Successes in mapping OVC data Linking datais easier due tostandardized codes
  15. 15. Successes in mapping OVC data:Here is where we are working…
  16. 16. Successes in mapping OVC dataSources: NACC Prevalence Report, 2007 & PEPFAR KPMS
  17. 17. Successes inmapping OVC dataSource: https://www.globalhivmeinfo.org/DigitalLibrary/Digital%20Library/OVC%20Mapping%20Activity.pdf
  18. 18. Successes in mapping OVC data: Showing Service Providerslocation and catchment areas
  19. 19. Successes in mapping OVC dataShowing ServiceProviderlocations andcatchment areasusingtransportationnetworks
  20. 20. Successes in mapping OVC dataWe’ve created a deeperunderstanding of our dataSource: MEASURE Evaluation
  21. 21. Mapping Orphans and Vulnerable Children Data What’s next?
  22. 22. Where can we go from here? Network analysis for understanding formal and informal relationships: •Referrals •Case Management •Continuum of Care •Strengthening the networkSource:http://designmonitoringevaluation.blogspot.com/2010/03/network-analysis-visualization-of.html
  23. 23. Where do we go from here OVC Mapping and Directory Project Children Services Directory: 1.Hard Copy 2.Websites of service providers 3.CD-ROM 4.SMS provider directory 5.Map providing services and contextual dataSource: http://pdf.usaid.gov/pdf_docs/PNADS350.pdf
  24. 24. Where can we go from here? Stronger Data Analysis:On the fly analysis of correlating variables
  25. 25. Where can we go from here? Robust geographic analysis of our data
  26. 26. Where can we go from here? Community/Social mappingSource: http://go.worldbank.org/6AV491AUX0
  27. 27. Where can we go from here?  Crowdsourcing data  http://www.youtube.com/watch?feature=player_embeSource: http://www.frontlinesms.com/frontlinesms-in-action/video-audio/
  28. 28. Where can we go from here?Source: https://smsconnectnamibia.crowdmap.com/?
  29. 29. Source: https://smsconnectnamibia.crowdmap.com/?
  30. 30. Where can we go from here?
  31. 31. Where can we go from here?
  32. 32. QUESTIONS?
  33. 33. MEASURE Evaluation is funded by the U.S. Agency forInternational Development (USAID) and implemented by theCarolina Population Center at the University of North Carolinaat Chapel Hill in partnership with Futures Group International,ICF International, John Snow, Inc., Management Sciences forHealth, and Tulane University. Views expressed in thispresentation do not necessarily reflect the views of USAID or theU.S. government.MEASURE Evaluation is the USAID Global Health Bureausprimary vehicle for supporting improvements in monitoring andevaluation in population, health and nutrition worldwide.
  34. 34. MEASURE Evaluation is funded by the U.S. Agency forInternational Development (USAID) and implemented by theCarolina Population Center at the University of NorthCarolina at Chapel Hill in partnership with Futures GroupInternational, ICF International, John Snow, Inc.,Management Sciences for Health, and Tulane University.The views expressed in this presentation do not necessarilyreflect the views of USAID or the United States government.

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