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  • In order to continue the dialogue and exchange on this topic beyond symposium. Notice board by coffee break area: What additional information and or support do you need to improve your and/or your organizations ability to base decisions on data? Identifying decisions Linking data and decisions Accessing data Data analysis and interpretation Communicating data to program managers and policy makers Identifying and overcoming barriers to using info

Transcript

  • 1. Meeting Objectives:
    • To share experiences, tools and approaches in using data to inform decision-making.
    • To identify common challenges to using data to inform decisions.
    • To identify priorities for advancing data use.
    • To develop a community of practice.
  • 2. Why Now? The Importance of Evidence-based Decision-making Tara Nutley & Scott Moreland MEASURE Evaluation From Data to Impact: Using Data for Results Symposium Arusha, Tanzania January 28, 2009
  • 3. Setting the Stage
    • Context
    • Response
    • Challenge
    • Changing the paradigm
  • 4. Context
    • HIV epidemic
    • Resurgence of TB
    • Continued prevalence of malaria
    • Pockets of stalled fertility decline
    • Population burden
    • Shortage of health care workers
  • 5. Context
    • HIV epidemic
    • Resurgence of TB
    • Continued prevalence of malaria
    • Pockets of stalled fertility decline
    • Population burden
    • Shortage of health care workers
  • 6. Context
    • HIV epidemic
    • Resurgence of TB
    • Continued prevalence of malaria
    • Pockets of stalled fertility decline
    • Population burden
    • Shortage of health care workers
  • 7. Context
    • HIV epidemic
    • Resurgence of TB
    • Continued prevalence of malaria
    • Pockets of stalled fertility decline
    • Population burden
    • Shortage of health care workers
  • 8. Context
    • HIV epidemic
    • Resurgence of TB
    • Continued prevalence of malaria
    • Pockets of stalled fertility decline
    • Population burden
    • Shortage of health care workers
  • 9. Context
    • HIV epidemic
    • Resurgence of TB
    • Continued prevalence of malaria
    • Pockets of stalled fertility decline
    • Population burden
    • Shortage of health care workers
  • 10. Context
    • HIV epidemic
    • Resurgence of TB
    • Continued prevalence of malaria
    • Pockets of stalled fertility decline
    • Population burden
    • Shortage of health care workers
  • 11. Context Pressing need to develop health policies, strategies and interventions
  • 12. Context
    • Increased financial investments for service delivery
    • Increased accountability requirements
    • Improved national HMIS
    • Increased demand for evaluation and other research
    • New technologies
  • 13. Evidence-based Decision Making Process
  • 14. Level of Dissatisfaction that Policy is Based on Scientific Evidence
  • 15. Challenges
    • Integrated HMIS still not fully functioning
    • Little or no communication between data producers and data users
    • Low capacity to collect, analyze & interpret data
    • Limited or no culture of data use
      • Data collection and use not a priority
  • 16. Response
    • Development of international frameworks that put data use at the center
    • National commitment
    • Project and organizational commitment
  • 17. Changing the Paradigm of Data Demand and Information Use Business Unusual
  • 18. The “traditional way”
    • Top-down approach
    • Data collected with little or no regard to its use
    • Limited stakeholder involvement
  • 19. The ‘traditional steps”
    • Gather data
    • Analyze data
    • Prepare report
    • Disseminate the report [Stakeholders]
  • 20. A New Paradigm
    • Decisions identified first, then what data are needed
    • Transparency
    • Stakeholder involvement
  • 21. The new paradigm steps
    • Identify decision [Stakeholders]
    • identify relevant data [Stakeholders]
    • gather data
    • analyze & discuss results [Stakeholders]
    • make decisions [Stakeholders]
  • 22. There is no single “right way” to use data to support decisions
    • Multiple stakeholders
    • Multiple and/or conflicting goals
    • Different ways to measure success
    • Ambiguous interpretation of what the data mean
  • 23. Decisions are influenced by factors other than information and data.
    • Power and influence of sectional interests;
    • Corruption;
    • Political, cultural or religious ideology;
    • Arbitrariness;
    • Anecdote
  • 24. What can we do?
    • Help to insure that data collected are relevant to decisions
    • Facilitate the involvement of stakeholders in the identification of data needs
    • Insure that decision-makers and stakeholders have access to that information
  • 25. Decisions, decisions….
    • Problem identification and advocacy
    • Policy making
    • Strategizing and planning
    • Program management
  • 26. Remember…. The ultimate goal is not to gain information, but to improve action.