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Conducting High Impact Research: Building data ownership and improving data use <br />Tara Nutley, Theresa Hoke, Scott Mor...
Global Health Context<br />Need to develop data-informed health policies, strategies  and interventions<br />
Barriers to Data-informed Decision making<br />Weak link between research, program & policy processes<br />Different ideol...
Strengthening Data-informed Decision Making <br />Improve the research process<br />Consider the program/policy context in...
Improving Access to Injectable Contraception in Madagascar<br />Reduce unmet contraceptive need <br />2007 pilot program t...
Can injectable contraception be safely provided by community workers?<br />Data collection<br />7 months post intervention...
Steps - Research Process<br />Question development<br />Protocol development<br />Data collection<br />Data analysis<br />...
Steps <br /> - Research Process<br />Enhancements<br />Value Added<br />ID target data user<br />Steering committee<br />T...
Steps<br />Enhancements<br />Value Added<br />Data interpretation<br />Local program context<br />included<br />  Data Ana...
Strengthened Research Process<br />Increased ownership of data<br />Generated useful, priority data<br />Improved understa...
Discussion Question<br />Can a similar process be applied to multi-country research questions? Research questions that rel...
Thank  You <br />MEASURE Evaluation is funded by the U.S. Agency for <br />International Development and is implemented by...
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Conducting High Impact Research: Building data ownership and improving data use

Presented at the GHME conference

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Conducting High Impact Research: Building data ownership and improving data use

  1. 1. Conducting High Impact Research: Building data ownership and improving data use <br />Tara Nutley, Theresa Hoke, Scott Moreland<br />Global Health Metrics & Evaluation Conference<br />March, 15 2011<br />
  2. 2. Global Health Context<br />Need to develop data-informed health policies, strategies and interventions<br />
  3. 3. Barriers to Data-informed Decision making<br />Weak link between research, program & policy processes<br />Different ideologies, norms & values<br />Research – controlled, empirical, objective<br />Program – practical, urgency, action<br />Policy – bargaining, lobbying, compromise<br />Low understanding, ownership and use of data<br />
  4. 4. Strengthening Data-informed Decision Making <br />Improve the research process<br />Consider the program/policy context in planning phase <br />Involve stakeholders throughout the research process<br />Make data and results available & accessible <br />Move beyond dissemination<br />
  5. 5. Improving Access to Injectable Contraception in Madagascar<br />Reduce unmet contraceptive need <br />2007 pilot program to integrate <br /> injectable services into <br /> community-based family planning<br /> distribution<br />62 community-based workers trained to offer injectables<br />
  6. 6. Can injectable contraception be safely provided by community workers?<br />Data collection<br />7 months post intervention - 61 CBWs, 25 supervisors and 303 clients interviewed<br />Results<br />Safe, acceptable, feasable<br />41% of acceptors - new family planning users<br />Program scaled up from 4 to 68 districts<br />
  7. 7. Steps - Research Process<br />Question development<br />Protocol development<br />Data collection<br />Data analysis<br />Recommendations<br />Dissemination<br />
  8. 8. Steps <br /> - Research Process<br />Enhancements<br />Value Added<br />ID target data user<br />Steering committee<br />Targeted priority information needs<br /> Question development<br />ID other stakeholders<br />Roles / responsibilities<br /> Protocol development<br />Ensured involvement and buy-in<br />Stakeholders participated in data collection<br /> Data collection<br />Increased study understanding<br />
  9. 9. Steps<br />Enhancements<br />Value Added<br />Data interpretation<br />Local program context<br />included<br /> Data Analysis<br />Data use action plan<br /> Recommendations<br />Feasible & actionable recommendations developed<br />Communication plan<br /> Dissemination<br />Results targeted to audiences<br />
  10. 10. Strengthened Research Process<br />Increased ownership of data<br />Generated useful, priority data<br />Improved understanding of study process & data<br />Increased buy-in for recommendations<br />Increased data use<br />Improved health programs<br />
  11. 11. Discussion Question<br />Can a similar process be applied to multi-country research questions? Research questions that rely on secondary analysis?<br />How can we ensure collaboration between data users and data producers without delaying and increasing the complexity of already complex processes. <br />
  12. 12. Thank You <br />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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