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Pay-for-Performance P4P for Health Services in Rwanda

Our team?. Research TeamPaulin Basinga, National University of RwandaPaul Gertler, UC BerkeleyJennifer Sturdy, World Bank and UC BerkeleyChristel Vermeersch, World BankPolicy Counterpart TeamAgnes Binagwaho, Rwanda MOH and CNLSLouis Rusa, Rwanda MOHClaude Sekabaraga, Rwanda MOHAgnes Souc

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Pay-for-Performance P4P for Health Services in Rwanda

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    1. Pay-for-Performance (P4P) for Health Services in Rwanda Paulin Basinga Rwanda School of Public Health

    2. Our team… Research Team Paulin Basinga, National University of Rwanda Paul Gertler, UC Berkeley Jennifer Sturdy, World Bank and UC Berkeley Christel Vermeersch, World Bank Policy Counterpart Team Agnes Binagwaho, Rwanda MOH and CNLS Louis Rusa, Rwanda MOH Claude Sekabaraga, Rwanda MOH Agnes Soucat, World Bank

    3. The 2005 starting point Professionally assisted births: 40% Maternal Mortality: 750 per 100,000 live births Infant Mortality : 86 per 1,000 HIV : 3.1% 3

    4. Why a pay reform? 4

    5. P4P for Health in Rwanda Objectives Focus on maternal and child health (MDGs 4 & 5) Increase quantity and quality of health services provided Increase health worker motivation What? Financial incentives to providers For more quantity And more quality How? Contracts between government & health facilities When? Piloted in 2001-2005, full scale from 2006 5

    8. Evaluating P4P in Rwanda: Evaluation design 8

    9. Conceptual framework for quality

    10. Evaluation Questions Did P4P improve… … the quality and quantity of maternal and child health services? … the health of the population?

    11. 11 History of P4P in Rwanda Three pilot schemes: Cyangugu (since 2001) Butare (since 2002) BTC (since 2005) National model implemented in 2006 Common aspects: Purchasing agency Verification agency Payment for measurable an d verifiable results Strong increases across the board for all indicators Differences: Different interpretation of Quality Different ways and levels of verification Different indicators & different unit values Cyangugu and Butare models work with written contracts, the BTC model has ‘tacit agreementsCommon aspects: Purchasing agency Verification agency Payment for measurable an d verifiable results Strong increases across the board for all indicators Differences: Different interpretation of Quality Different ways and levels of verification Different indicators & different unit values Cyangugu and Butare models work with written contracts, the BTC model has ‘tacit agreements

    12. Evaluation Design Phased roll-out at district level Identified districts without P4P in 2005 Group districts into “similar pairs” based on population density, location & livelihoods Randomly assign one to treatment and other to control Unit of observation is health facility 12

    13. A few challenges The decentralization “surprise” MOH reallocated some districts to treatment A few new districts had some facilities with P4P– must be treatment 13

    15. Sample Out of 30 districts 12 Phase I (treatment) 7 Phase II (comparison) 165 health facilities All rural health centers located in 19 districts 2156 households in catchment areas Power calculations based on expected treatment effect on prenatal care visits, institutional delivery Panel data: 2006 and 2008 15

    16. Econometric model Basic difference-in-differences model specified as a two-way fixed effect cross-sectional time-series regression models. 16

    17. Evaluation design challenges Organizational Managing expectations The John Henry effect in practice Building capacity Time commitments Technical Small sample size (clusters at district level = unit of operation!) Reconciling provider and client data 17

    18. Facilitating factors Government leadership Integration Government coodination of parners 18

    19. Baseline, health facilities 19

    20. Baseline, utilization of maternal health services 20

    21. Baseline, women 15-49 with birth in last 24 months 21

    22. Evaluating P4P in Rwanda: Evaluation results 22

    23. Impact on structure quality 23

    26. Impact on quality of prenatal care 26

    27. Impact on quality of prenatal care 27

    28. Impact on use of prenatal care 28

    29. Impact on use of maternal services 29

    30. Impact on institutional delivery 30

    31. What our results tell us You get what you pay for ! Returns to effort important Bigger effects in things more in provider’s control Patient or community health workers for prenatal care/Immunization Provide incentives directly to pregnant women? (conditional cash transfer program). Financial incentive to community health workers Low quality of care : additional training coupled with P4P Need to get prices “right” Evaluation feedback useful 31

    32. Discussion Prenatal care : entry point! Increase in utilization nationwide due to: Mutuelle Imihigo HIV services Safe motherhood and PCIME Possible spill over effect to child health 32

    33. Limitations ! The original randomized designed was changed due to the political decentralization process: But sample well balanced! Trend analysis with HMIS data ongoing No measure of all paid and some non paid indicators : HMIS analysis Cost effectiveness analysis 33

    34. Thank you! 34

    35. Acknowledgments Funding by: World Bank Government of Rwanda (PHRD grant) Bank-Netherlands Partnership Program (BNPP) ESRC/DFID GDN

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