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Maps As a Tool for Data Use: Considerations for improvement

This presentation was shared by Isabel Brodsky and Andrea Vazzano at the June 2016 MEASURE Evaluation GIS Working Group Meeting.

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Maps As a Tool for Data Use: Considerations for improvement

  1. 1. Maps as a tool for data use Considerations for improvement Isabel Brodsky and Andrea Vazzano MEASURE Evaluation Palladium June 23, 2016 GIS TECHNICAL WORKING GROUP
  2. 2. Objectives During this session we will seek to answer the following questions: How are spatial data being used in decision making? What factors contribute to the use of maps in decision making?
  3. 3. Data availability As electronic health information systems improve, spatial data have become increasingly available.
  4. 4. What does this allow us to do? • Layer multiple data sets on a single map • Query maps to ask questions in order to understand the relationships between different data sets
  5. 5. What are spatial data being used for? • Program planning and targeting • Program monitoring • Commodities distribution and tracking • Disease outbreak
  6. 6. Program planning & targeting Source: Hally Mahler, Sarah Searle, Marya Plotkin, Yusuph Kulindwa, Seth Greenberg, Erick Mlanga, Emmanuel Njeuhmeli, and Gissenje Lija How can spatial data be used to improve the delivery and coverage of VMMC services to target regions in Tanzania?
  7. 7. Program monitoring How can countries easily visualize data from siloed information systems to better understand national programs? DHIS DATIM HMIS DMPPT
  8. 8. Commodities distribution & tracking How can maps explain the low numbers of CD4 testing in Tanzania?
  9. 9. Disease outbreak • Using mobile phones to map Ebola outbreaks in Sierra Leone • Tracking the spread of Zika Virus to understand its characteristics and its carrier’s breeding grounds
  10. 10. How do spatial data contribute to decision making? A map isn’t a magic bullet. What other factors facilitate decision making?
  11. 11. How do spatial data contribute to decision making? • Interviewed 45 people from 17 PEPFAR implementing partners to understand how data visualizations have been used to facilitate HIV program targeting and improvement • Found only 5 examples of projects that could point to specific decisions resulting from their data visualizations
  12. 12. Involvement of end data user
  13. 13. Balancing specificity and generalizability
  14. 14. Sustaining a culture of data use
  15. 15. Discussion 1.What are the questions that you would ask to help you make this decision? 2.How would you visualize the answers to those questions? 3.What challenges do you foresee in doing this? How would you overcome those challenges? 4.What steps could you take to foster the sustainability of this process?
  16. 16. This presentation was produced with the support of the United States Agency for International Development (USAID) under the terms of MEASURE Evaluation cooperative agreement AID-OAA-L-14-00004. MEASURE Evaluation is implemented by the Carolina Population Center, University of North Carolina at Chapel Hill in partnership with ICF International; John Snow, Inc.; Management Sciences for Health; Palladium; and Tulane University. Views expressed are not necessarily those of USAID or the United States government . www.measureevaluation.org

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