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Impact Evaluation of the Rwanda Community Performance-Based Financing Program College of Medicine and Health Sciences School of Public Health.

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Presentation on theme: "Impact Evaluation of the Rwanda Community Performance-Based Financing Program College of Medicine and Health Sciences School of Public Health."— Presentation transcript:

1 Impact Evaluation of the Rwanda Community Performance-Based Financing Program College of Medicine and Health Sciences School of Public Health

2 Background: Health in Rwanda Rwanda has experienced dramatic changes in indicators of health outcomes and utilization of health services in recent years DHS 2005 DHS 2010 DHS 2014-15 Under-5 mortality (per 1,000 live births) 1527650 Maternal Mortality (per 100,000 live births) 750476210 Delivery at Health Facility 28%69%91% ANC by skilled provider 94%98%99.8% Total Fertility Rate 6.14.64.2

3 Background: IE of PBF (First Generation) Basinga, Gertler et al. 2012; Gertler and Vermeersch 2012; de Walque, Gertler et al 2015 PBF at the health facility level was scaled up nationally in 2008 Positive Impact Quantity: Institutional deliveries Preventative care visits by children VCT for couples Quality of prenatal care Health Outcomes of children No Impact Prenatal care utilization Use of modern contraceptives

4 Background: Community PBF (Second Generation) Since 2009, Community Health Workers (CHWs) were paid for reporting on health indicators in their communities Additional components were added through the Community Performance- Based Financing Program in order to promote targeted services This study evaluates the impact of 2 interventions that were added to the scheme: 1.Performance incentives for CHW cooperatives 2.Demand-side in-kind incentives

5 Background: organization of CHWs in Rwanda Each village has 3 volunteers serving as Community Health Workers (CHWs). Multidisciplinary CHWs CHW in Charge of Maternal and Neonatal Health Criteria Can read and write Age 20-50 Lives in the village Elected by the village residents

6 Background: organization of CHWs in Rwanda All the CHWs within the catchment area of a health center are organized in a CHW cooperative. Cooperative

7 Background: organization of CHWs in Rwanda 70% of payments received by a cooperative must be invested in income generating activities (IGAs). 30% of the payments and revenues from the IGAs are given to cooperative members. It is up to the cooperatives to determine distribution rules.

8 Intervention #1: Performance Incentives for CHW Cooperatives CHW cooperatives received financial rewards for: 1.Nutrition monitoring: # children 6-59 months monitored 2.Timely Antenatal Care: # of women accompanied/referred within first 4 months of pregnancy 3.In-Facility Delivery: # of women accompanied/referred for assisted delivery 4.New Family Planning users: # referred to health center 5.Regular Family Planning Users: # regular users at health center 4 indicators related to TB and HIV were added at a later stage and not evaluated

9 Intervention #2: Demand-Side In-Kind Transfers Women received gifts for seeking care for the following services: * Women can only receive the gifts for one pregnancy every 3 years. Eligibility*Value (Ceiling)Suggested Package Initiation of Antenatal Care during first 4 months of pregnancy 5 USDAdult cloth and water treatment tablets OR baby cloth package and water treatment tablets Delivery in health center 6.67 USD Baby soap, baby shawl and baby bed sheets Initiation of Postnatal Care during the 10 days after delivery 3.33 USD An umbrella and water treatment tablets OR Adult cloths

10 Research Questions 1.Do the demand-side in-kind transfers and the performance incentives to CHW coops increase Initiation of prenatal care within first 4 months of pregnancies? Total prenatal care visit? In-facility deliveries? Rate of postnatal care within 10 days after delivery? 2.Is there a multiplicative effect when both interventions are implemented? 3.Do the performance incentives to CHW coops affect Behavior and motivation of the CHWs? Use of modern contraceptives? Growth monitoring of children under 5

11 Study Design: RCT 198 sectors (sub-districts) were randomly allocated into 4 study arms: * Coops paid for reporting received the average amount received by the coops paid for performance Payments to CHW Coops For Reporting* For Performance Demand-Side Transfers NoCS YesDD+S

12 Study Design: Selection and Randomization of Sectors Study conducted in 19 districts in 4 provinces Excluding Kigali 18 districts of previous IE A sector usually corresponds to a catchment area of a health center Include only sectors with a public or non-for-profit faith-based health centers Exclude 30 sectors where the demand-side intervention was piloted Sectors blocked by district and poverty ranking

13 Study Design: Randomization of Sectors

14 Study Design: Baseline Survey 12 villages were randomly selected within the catchment area of each health center Household survey A field supervisor consulted village leader and/or CHW to identify household with most recent birth or pregnancy (N = 2,376) Household questionnaire Interview with “core” respondent CHW survey Target of 2 CHWS in each selected village (N = 4,668) CHW in charge of maternal and neo-natal health should have been included Cooperative survey (N = 197)

15 Study Design: Follow Up Survey Same villages were visited Household survey: two samples! Women with most recent birth in their village (N = 2,343) “Baseline” Women (N = 2,157) CHW survey CHW in charge of maternal and neo-natal health (N = 2,220) Cooperative survey (N = 197) Health Center Assessment (N = 197)

16 Timeline 20102011201220132014 February-May 2010 Baseline Survey November 2013-June 2014 Follow-up Survey October 2010 Interventions Introduced February 2013 Last transfer of funds for in-kind transfers

17 Descriptive Analysis: Baseline Sample Characteristics TotalDSDSC Age28.228.127.828.228.7 (6) (5.8)(5.9)(6.2) Married0.91 0.90.91 Education None0.180.160.18 0.19 Primary0.700.720.690.670.69 > primary0.130.120.13 Covered by Mutelles0.900.930.90.890.88 Number of live births3.033.112.952.973.10 (2.12) (2.18)(2.03)(2.18) Ever used modern FP0.4 0.370.41 Core Respondents

18 Descriptive Analysis: Baseline Sample Characteristics Care during last pregnancy At least one ANC visit98% First ANC visit in first 4 months of pregnancy63% At least 4 ANC visits37% Skilled-attended in-facility delivery79% PNC within 10 days of birth38% Gift received for ANC*5% Gift received for delivery*4% Gist received for PNC2% *The reported value of gifts is about a third of those set by the program for the different services.

19 Descriptive Analysis: Comparison with the RDHS 2010 BaselineRDHS 2010 Age28.229.1 Education None0.170.18 Primary0.690.75 > primary0.140.07 Number of births3.013.34 Care during last pregnancy: At least one ANC visit0.98 First ANC visit in first 4 months of pregnancy 0.63 At least 4 ANC visits0.370.36 Skilled-attended in-facility delivery0.79 PNC within 10 days of birth0.380.18 Comparing core respondents to RDHS sample of women with a pregnancy during the two previous years

20 Descriptive Analysis: Baseline Sample Characteristics Characteristics of CHWs in charge of maternal and neonatal health MeanSD Age39.1(9.4) Female0.94 Education Primary0.61 > primary0.39 Number of years as CHW2.6(3.7) Number of HHs in village122(117) Number of hours spent on health activities in past week 17.7(28) Distance to health center (in km)4.1(4.9)

21 Descriptive Analysis: Time Trends Baseline and Follow-up rates among Control group

22 Descriptive Analysis: Program Implementation Incentivized indicators Unit Fees (USD) 201020112012 20132014 Nutrition Monitoring 3.240.570.43 Timely Antenatal Care 2.241.120.81 In-facility Delivery 2.731.370.99 New Family Planning User 2.901.451.05 Regular Family Planning User 2.111.060.77 Incentive amounts reduced during the implementation of the program

23 Descriptive Analysis: Program Implementation « D'habitude, est-ce que votre centre de sante donne des cadeaux aux femmes qui viennent pour les services suivants: » IndicatorDSDSC Timely ANC0.940.160.900.08 In-facility delivery0.920.180.880.13 Timely PNC0.900.090.880.08

24 Descriptive Analysis: Program Implementation

25 Share of women who received gifts

26 Descriptive Analysis: Program Implementation Share of eligible women who received gifts, by year of birth * Combining samples of recently pregnant women and “baseline” women; only pregnancies ending in live births

27 Results: Maternal Health Services Indicators: Timely ANC In-facility deliveries Timely PNC Sample of women with most recent birth in their village Pregnancies resulting in a live birth

28 Results: ANC visit within first 4 months of pregnancy A positive and significant (at the 1% level) impact of the demand-side in-kind incentives of about 10 percentage points The CHW incentives are not found to have a significant effect No difference between the ‘Demand’ and the ‘Demand+Supply’ treatment arms

29 Results: at least 4 ANC visits Not targeted by the program! Higher in the intervention sectors, but not statistically significant at the 10% level

30 Results: Skilled-attended in-facility delivery No statistically significant difference between the treatment arms Rate has increased substantially in the duration of the study for other reasons

31 Results: PNC within 10 days after delivery A positive and significant (at the 5% level) impact of the demand-side in-kind incentives of about 7 percentage points Not targeted by the CHW incentives intervention

32 Results: targeted maternal health indicators Results are robust Inclusion of controls Diff-in-diff specification Exclusion of 3 misclassified sectors Negligible changes when sample weights are used Using data on number of households in each sector

33 Results: Fertility and Family Planning Indicators Birth since baseline Ever used modern family planning method With and without adjustment for baseline response Sample of baseline women Caveat: not optimal for estimating this Caveat: higher attrition among treatment groups implementing the supply- side intervention

34 Results: Fertility and Family Planning No statistically significant impact on any of the indicators

35 Results: Nutritional monitoring Indicator: Child was measured in the past 6 months to determine nutritional status Sample of children 6-59 months Of all women (recent pregnancies and baseline women)

36 Results: Fertility and Family Planning No statistically significant impact

37 Other results: CHW No Impact on CHW behavior Hours spent on health activities Number of households visited Consulting other CHWs No Impact on measures of satisfaction and motivation of CHWs No impact on CHW behavior reported by the women CHWs referred or accompanied to ANC, Delivery or PNC services CHWs provided information on these services Interacted with CHWs in the past three months (in the community or home visits) Satisfaction from CHWs Women in Demand and D+S sectors report CHWs were aware earlier of their pregnancies

38 Other results: Cooperatives No Impact on.. Number of meetings Number of members recruited, dismissed, resigned in the past 12 month Cooperative income Whether payments are allocated by performance Internal assessment of coop members

39 The demand-side in-kind incentives caused an increase in timely ANC and PNC services Although some challenges in procurement and frequent stock outs Although some health centers independently implemented their own demand-side incentives strategies to promote utilization Although funding ended before end-line data collection Consistent with findings in other countries that implemented demand-side cash transfers Key Findings: Demand-Side In-Kind Incentives

40 No impact of incentives to CHW cooperative on targeted indicators, CHW behaviors and CHW motivation. Potential reasons for lack of impact – Incentives were too low – Collective reward but individual effort – Pay-for-reporting could have already oriented the CHWs towards targeted indicators – Limited scope given the many supply-side programs targeting the same indicators Key Findings: Performance Incentives to CHW Coops

41 Self-reported indicators Timing of survey relative to termination of the demand-side intervention Hoping to include analysis of administrative data Not optimal sample for the analysis of fertility and family planning indicators Caveats

42 Ministry of Health Fidel Ngabo Cathy Mugeni University of Rwanda Ina R. Kalisa James Humuza Jeanine Condo Vedaste Ndahindwa The World Bank Gil Shapira Netsanet W. Workie Jeanette Walldorf Research Team The study was funded by the Health Results Innovation Trust Fund (HRITF)

43 Thank you!


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