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7 Steps to Improve HIV/AIDS Programs Guide

The 7 Steps to Improve HIV/AIDS Programs Guide presents concrete steps and illustrative examples that can be used to facilitate the use of information as a part of the decision-making processes guiding program design, management and service provision in the health sector.
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7 Steps to Improve HIV/AIDS Programs Guide

  1. 1. Data Demand & Use: Seven Steps to Use Routine Information to Improve HIV/AIDS Programs Webinar Series #6 Tuesday, February 21, 2012 Presenters: Tara Nutley and Nicole Judice
  2. 2. Troubleshooting <ul><li>If you lose connectivity </li></ul><ul><ul><li>Re-enter the meeting room by clicking on the webinar link provided </li></ul></ul><ul><li>If you have trouble with audio </li></ul><ul><ul><li>Refer to the conference call instructions in the upper right hand corner </li></ul></ul><ul><li>Send an email to [email_address] </li></ul>
  3. 3. Tips for Participating in the Discussion <ul><li>To comment, raise your hand by clicking on the icon. </li></ul><ul><ul><li>Speak into your microphone (be sure it is enabled by clicking on the icon at the top of the screen). </li></ul></ul><ul><ul><li>Type questions in Q&A window located at the top of your screen. </li></ul></ul><ul><ul><li>A recording of the webinar will be made available at </li></ul></ul>
  4. 4. Agenda <ul><li>Welcome - webinar tips </li></ul><ul><li>Brief overview of Data Demand and Use </li></ul><ul><li>Presentation of Tools </li></ul><ul><li>Field Application of Tools </li></ul><ul><li>Questions and Answers </li></ul><ul><li>Wrap up </li></ul>
  5. 5. Why improve data-informed decision making? Pressing need to develop health policies, strategies, and interventions
  6. 6. “… without information, things are done arbitrarily and one becomes unsure of whether a policy or program will fail or succeed. If we allow our policies to be guided by empirical facts and data, there will be a noticeable change in the impact of what we do.” National-level Policymaker, Nigeria
  7. 7. Definitions <ul><li>Data use – Using data in the decision making process </li></ul><ul><ul><li>monitor a program </li></ul></ul><ul><ul><li>create or revise a program or strategic plan </li></ul></ul><ul><ul><li>develop or revise a policy </li></ul></ul><ul><ul><li>advocate for a policy or program </li></ul></ul><ul><ul><li>allocate resources </li></ul></ul><ul><li>Data Demand - decision makers specify what kind of information they want & seek it out </li></ul>
  8. 8. Data-informed Decision Making Cycle
  9. 9. Improving Data-informed Decision Making
  10. 10. Core Data Demand and Use Principle <ul><li>Data users and data producers can work together to identify key programmatic questions and concerns and to link these questions to the data available in their respective settings. </li></ul>
  11. 11. Why Use the 7 Step Approach <ul><li>Provides concrete steps to data-informed decision making </li></ul><ul><li>Encourages more strategic and effective use of data </li></ul><ul><li>Ensures involvement of data users & producers </li></ul><ul><li>Guide includes examples, job aids, templates </li></ul>
  12. 12. Stepwise guidance helps to… <ul><li>Identify and understand trends and needs; </li></ul><ul><li>More effectively plan and set priorities; </li></ul><ul><li>Support changes in program and service delivery; </li></ul><ul><li>Support requests for additional resources; </li></ul><ul><li>Justify changes in policies affecting service delivery; </li></ul><ul><li>Provide evidence-based clinical decision making; </li></ul><ul><li>Facilitate accountability for expended resources; </li></ul><ul><li>Communicate importance of HIV/AIDS services to the community. </li></ul>
  13. 13. Seven Steps Approach <ul><li>1 - Identify questions of interest </li></ul><ul><li>2 - Prioritize key questions of interest </li></ul><ul><li>3 - Identify data needs and potential sources </li></ul>
  14. 14. Seven Steps Approach <ul><li>4 - Transform data into information </li></ul><ul><li>5 - Interpret information and draw conclusions </li></ul><ul><li>6 - Craft solutions and take action </li></ul><ul><li>7 - Continue to monitor key indicators </li></ul>
  15. 15. Step 1 – Identify questions <ul><li>No need to go fishing….instead answer question that respond to true needs and priorities </li></ul>
  16. 16. Defining Program Success - Questions to Consider <ul><li>What do you want or need to know in order to say your program is working? </li></ul><ul><li>How do you know that your program or service is working? </li></ul><ul><li>Is your program or service improving client’s health? </li></ul><ul><li>How do you know if there are problems or that your program is not achieving its pre-determined objectives? </li></ul>
  17. 17. Step 2 – Prioritize Key Questions of Interest <ul><li>Programmatic relevance </li></ul><ul><li>Answerable </li></ul><ul><li>Actionable </li></ul><ul><li>Timeliness of the question </li></ul>Ensure question is specific
  18. 18. Prioritizing Questions PROJECT/ORGANIZATION POTENTIAL SOLUTIONS PROGRAMMATIC RELEVANCE ANSWERABLE ACTIONABLE TIMELINESS OF THE QUESTION TOTAL Please list your proposed solutions, and rank them according to each criterion. Highly relevant=4 Somewhat=3 Little Relevance =2 None=1 Easy to answer=4 Feasible with routine data=3 May require non routine data=2 Significant data collection=1 Highly actionable=4 Potential barriers=3 Low chance of action=2 Little to no chance of action=1 Immediate=4 Next quarter =3 Next month =2 Distant future =1 1. 2. 3.
  19. 19. Step 3 – Identify Data Needs and Potential Sources <ul><li>Enlist M&E Officer </li></ul><ul><li>How frequently or at what intervals do we need this information? </li></ul><ul><li>Do the data already exist and are they available? </li></ul><ul><li>Are the data of sufficient quality? </li></ul>
  20. 20. Step 4 – Transform Data into Information <ul><li>Isolate required indicators and/or data elements </li></ul><ul><li>Analyze the data and calculate the indicator </li></ul><ul><li>Depict data in an image (graph, chart, table) </li></ul>
  21. 21. Step 5 – Interpret Information and Draw Conclusions <ul><li>Convene group or team </li></ul><ul><li>Review graphs, tables, and information </li></ul><ul><li>Discuss the meaning of these analyses for organizations, programs and facilities </li></ul>
  22. 22. Interpreting data <ul><li>Adding meaning to information by making connections and comparisons and exploring causes and consequences </li></ul>
  23. 23. Step 6 – Craft Solutions and Take Action <ul><li>Engage variety of stakeholders to craft solutions </li></ul><ul><li>Discuss conclusions from interpretation </li></ul><ul><li>Brainstorm potential solutions </li></ul><ul><li>Further specify, craft and prioritize these solutions </li></ul><ul><li>Develop an action plan </li></ul>
  24. 24. Program Action Plan
  25. 25. Step 7 – Continue to Monitor Key Indicators <ul><li>Monitor implementation of action plan </li></ul><ul><li>Consider frequency and duration of monitoring </li></ul><ul><li>Develop tool for monitoring </li></ul>
  26. 26. Example of Monitoring Spreadsheet Site name: 2008 N/D Indicator J F M A M J J A S O N D Numerator                           Denominator                           Indicator   % of eligible clients placed on ART Numerator   # of new clients on ART   102   102   103   115 125                Denominator   Sum of # of new clients on ART and clients on ART waiting list   151   162 169    171 177                Indicator   Numerator                           Denominator                          
  27. 27. Framework for Linking Data with Action <ul><li>Documents the overall Seven Steps process </li></ul><ul><li>Creates a time-bound plan for information-informed decision making </li></ul><ul><li>Encourages greater use of existing information </li></ul><ul><li>Monitors the use of information in decision making </li></ul>
  28. 28. Framework for Linking Data with Action Decision/ Action Program/ Policy Question Decision Maker (DM), Other Stakehold-ers (OS) Indicator/Data Data Source Timeline (Analysis) (Decision) Commu-nication Channel
  29. 29. Illustrative Example
  30. 30. Question of Interest <ul><li>Organization is concerned about retaining clients in their facilities </li></ul><ul><li>Management team identified the question: </li></ul><ul><ul><li>What percentage of PMTCT clients are counseled and tested? </li></ul></ul>
  31. 31. PMTCT Summary Form Summary Data from General ANC, VCT and Partner Registers Variables Number 1. New ANC clients 6 A. Post-test counseled - Positive 6 B. Post-test counseled – Negative
  32. 32. Variables Facility 1 Facility 2 Facility 3 Facility 4 1. New ANC Clients 744 2708 105 1077 6A. Post-test counseling – positive 54 105 10 43 6B. Post-test counseling – negative 440 2045 93 800 Total post-test counseled 494 1940 83 843
  33. 33. Are facilities reaching coverage targets?
  34. 34. Additional Questions <ul><li>Which facility is performing better/worse than expected? </li></ul><ul><li>What is the trend over time for these facilities? </li></ul><ul><li>How would you assess each facility’s performance based on the data? </li></ul><ul><li>What other data or information should you consider in providing recommendations or guidance to the facilities? </li></ul>
  35. 35. Applications <ul><li>Nigeria – training workshops at facility, organizational and state levels </li></ul><ul><li>Tanzania – training workshops and coaching at organizational level </li></ul><ul><li>Introduced and shared with different organizations and in electronic forums </li></ul><ul><ul><li>Catholic Relief Services </li></ul></ul><ul><ul><li>TB Care Data and Analysis Forum </li></ul></ul><ul><ul><li>Virtual Leadership Development Program </li></ul></ul>
  36. 36. Questions and Answers
  37. 37. MEASURE Evaluation DDU Resources <ul><li> </li></ul><ul><ul><li>Data Demand and Use Tool Kit </li></ul></ul><ul><ul><li>Data Demand and Use Training Resources </li></ul></ul><ul><li>Next webinar will be on February 28, 2012 at 9:00 am Data Demand and Use Training Resources </li></ul>
  38. 38. Join Data Use Net <ul><li>Send an email to [email_address] . Leave the subject field blank and in the body of the message type ‘subscribe DataUseNet.’ For example:  </li></ul><ul><li>To: </li></ul><ul><li>From: [email_address] </li></ul><ul><li>Subject: </li></ul><ul><li>Subscribe Data Use Net </li></ul>
  39. 39. Presenter Contact Information <ul><li>Tara Nutley - tn [email_address] </li></ul><ul><li>Nicole Judice – [email_address] </li></ul>
  40. 40. <ul><li>MEASURE Evaluation is funded by the U.S. Agency for </li></ul><ul><li>International Development (USAID) and implemented by the </li></ul><ul><li>Carolina Population Center at the University of North Carolina </li></ul><ul><li>at Chapel Hill in partnership with Futures Group International, </li></ul><ul><li>ICF International, John Snow, Inc., Management Sciences for </li></ul><ul><li>Health, and Tulane University. Views expressed in this </li></ul><ul><li>presentation do not necessarily reflect the views of USAID or the </li></ul><ul><li>U.S. government. </li></ul><ul><li>MEASURE Evaluation is the USAID Global Health Bureau's </li></ul><ul><li>primary vehicle for supporting improvements in monitoring and </li></ul><ul><li>evaluation in population, health and nutrition worldwide </li></ul>