1. IMPROVING THE HIV, SEXUAL & REPRODUCTIVE HEALTH OF SEX WORKERS TURNING GOOD POLICY INTO GOOD PRACTICE Module 5: Measuring Outcomes

2. Session 1 Monitoring and Evaluation M&E and Using Data for Decision Making

3. Overview  Monitoring & Evaluation – Why?  The Core Package M&E Overview  Monitoring & Evaluation of Integrated Services - How?  The Data Feedback Cycle  Defining true targets  Data Presentation  Using Data for Decision Making 2

4. Monitoring & Evaluation 3

5.  Programme M&E systems are driven by:  Local data demands  Funding agency requirements  National M&E systems: The Three Ones  All work under different sets of indicators:  PEPFAR, USAID, Global Fund, UNAIDS, UNGASS  National Indicators 3 “Rarely do you need to design new indicators. Resist the temptation. If you think it will be a better indicator than any other existing indicator, ask why no one else has used it before.” David Pencheon

6. M&E of Integrated Services  Monitoring & Evaluation of Integrated Services  Avoid duplication of numbers  Establish early M&E framework among services  Align with one national system & reporting  Align with funding reporting requirements  Validate data through established mechanisms  Complete data feedback cycle with integrated service information distribution to SW 3

7. The Data Feedback Cycle 3 Data Collection Data Management Data Validation Data Analysis Data Translation Data Feedback

8. Global Guidance Group Check In: The Data Feedback Cycle Which steps of the Data Feedback Cycle are the strongest in your organisations Which steps of the Data Feedback Cycle are the strongest for the national response? Which steps of the Data Feedback Cycle require attention to improve HIV and SRH data quality and flow? 3

9. Treatment Cascade 3 Key Populations Living with HIV KPs with HIV that access testing KPs with HIV that know and understand their result KPs with HIV that are linked to treatment, care and support services KPs with HIV start ART KPs with HIV maintain viral suppression Where does data for each level generate from?

10. Population Size Estimates & Mapping Population Size Estimates provide:  Time specific snapshot of key populations in locations  Data to inform programming planning, implementation, monitoring and evaluation  Data to inform research and IBBS  Data to inform policy and strategy  Most national census data does not analyze sub-populations of interest (key populations, PWID, MSM)  PSEs provide a denominator for programme M&E  Require thorough triangulation, validation & regular revision 3

11. Conclusion  Monitoring & Evaluation of Integrated Services presents challenges and opportunities for measuring engagement of key populations across prevention, treatment and care  Indicator sets should align with national and funding systems  Population Size Estimates provide a denominator in measurement of programme success  A Comprehensive Package of Services defined interventions to be monitored  Reduced targets are not negative reflections of practice but positive steps towards accurate measurements  Good M&E is innovative and supports the complete data feedback cycle 3

12. References Baldwin, S., Boisen, N., & Power, R. (2008). Managing information: Using systematic data collection to estimate process and impact indicators related to harm reduction services in Myanmar. The International Journal of Drug Policy, 19S, S74-S79. doi:10.1016/j.drugpo.2007.12.005. DDRP. (2007). DDRP Best Practice Collection: Unique Identifier Code. Fielden, S. (2013). Protocol: Creating the UIC Code & Evaluation Plan. Tools for Establishing UIC in HIV Outreach for Key Populations in Morocco. Gray, R. & Hoffman, L. (2007). Tracking coverage on the silk road: Time to turn theory into practice. The International Journal of Drug Policy, 19S, S15-S24. doi:10.1016/j.drugpo.2007.12.011. Thien Nga, N., Jacka, D., Van Hai, N., Kieu Trinh, N., Boisen, N., & Neukom, J. (2012). Innovative data tools: a suite for managing peer outreach to key affected populations in Viet Nam. WPSAR, Vol.3, No.3, 29-34. doi:10.5365/wpsar.2012.3.2.003. UNAIDS. An introduction to indicators. 4