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School of Health Systems and Public Health Monitoring & Evaluation of HIV and AIDS Programs INDICATORS Wednesday March 2, 2011 Win Brown US AID /South Africa. Slide 1 of 25. Objective: Introduce the 4 stages in the data handling (information management) process & explain indicators.

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  1. School of Health Systems and Public HealthMonitoring & Evaluation of HIV and AIDS ProgramsINDICATORSWednesday March 2, 2011Win BrownUSAID/SouthAfrica Slide 1 of 25

  2. Objective: • Introduce the 4 stages in the data handling (information management) process & explain indicators. Slide 2 of 25

  3. Learning Outcomes: • Explain the concepts of data and information • Analyze the data handling process • Evidence-based decision making • Select indicators & critique indicators Slide 3 of 25

  4. Data: • Information: • Knowledge: • DataInformationKnowledge What’s Our Raw Material? Slide 4 of 25

  5. Types of Data • Quantitative: • Qualitative: • Routine: • Non-Routine: Slide 5 of 25

  6. Routine Data Collection • Patient or Client Data: Let’s talk about the lowest level . . . • “Data Capture” • Who • How • When • Where • How are these data aggregated? Slide 6 of 25

  7. Routine Health Information Management? • Monitoring & Evaluation of Routine vs. Non-Routine Information . . . • Which is more useful? • Why? Slide 7 of 25

  8. Information Management Process Slide 8 of 25

  9. Current Problems and the Way Forward • The Deadly Sin of Creating Parallel Structures in Reporting Systems • The “H” Word . . . • Alignment with Government Systems Slide 9 of 25

  10. Ready for Indicators? Slide 10 of 25

  11. What’s an Indicator? A quantitative or qualitative variable (something that changes) that provides a simple and reliable measurement of one aspect of performance, achievement or change in a program or project. Slide 11 of 25

  12. Why Indicators? • Directing resources to areas where needs are greatest • Reducing large amount of data down to its simplest form • Measuring program or project towards targets and desired outcomes • Measuring trends over time • Providing a yardstick whereby organizations, facilities etc. can compare themselves to others doing similar work • Providing evidence for achievement (or lack of) of results and activities Slide 12 of 25

  13. Slide # 13: The Evil Eye Don’t say anything! Slide 13 of 25

  14. Indicator Structure • Numerator • Denominator • Both . . . Slide 14 of 25

  15. Example 1 Percent of Individuals Initiating ART with a CD4 Count of Less than 50. ? ________________ ? Slide 15 of 25

  16. Example 2 Total Number of OVC Reached During the Reporting Period. ? ________________ ? Slide 16 of 25

  17. Example 3 Total Number of Individuals Provided with Cotrimoxazole during the Reporting Period. ? ________________ ? Slide 17 of 25

  18. Example 4 Total Number of Family Members Reached with HIV-Related Palliative Care during the Reporting Period. ? ________________ ? Slide 18 of 25

  19. Example 5 Total Number of Individuals Counseled and Tested as a Couple. ? ________________ ? Slide 19 of 25

  20. Don’t Let Indicators . . . Drive the Programme! Slide 20 of 25

  21. SMART Indicators • Specific • Measurable • Achievable • Relevant • Time-bound Slide 21 of 25

  22. OPUDATA • Objective • Practical • Useful for management • Direct • Attributable to your project’s efforts • Timely • Adequate Slide 22 of 25

  23. How Does An Indicator Get Selected? Good Luck! Slide 23 of 25

  24. Why Aren’t Managers Using Data? 1. 2. 3. 4. 5. Slide 24 of 25

  25. To Be Useful, Data Should Be… 1. 2. 3. 4. 5. Slide 25 of 25

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