Health Results-Based Financing Impact Evaluation 2012
Cameroon, 2012
Damien de Walque
Identification
IDNO
CMR_2012_RBFIE-HBL_v01_M
Title
Health Results-Based Financing Impact Evaluation 2012
Subtitle
Household Baseline Survey
Countries
| Name | Code |
|---|---|
| Cameroon | CMR |
Study notes
Scaling-up of performance-based financing (PBF) schemes across sub-Saharan Africa (SSA) has developed rapidly over the past few years. Many studies have shown a positive association between PBF and health service coverage, and some with improvements in quality. However, a lack of controls and confounders in most studies that have been published on PBF initiatives means that the impact of PBF initiatives on service coverage, quality and health outcomes remains open to question. Moreover, few studies have examined the factors that influence the impact of PBF- an area of considerable operational significance since PBF often involves a package of constituent interventions: linking payment and results, independent verification of results, managerial autonomy to facilities and enhanced systematic supervision of facilities. As a result, the policy objectives of the following Impact Evaluation are to: (a) identify the impact of PBF on Maternal and Child Health (MCH) service coverage and quality; (b) identify key factors responsible for this impact; and (c) assess cost-effectiveness of PBF as a strategy to improve coverage and quality. The results from the impact evaluation will be useful to designing national PBF policy in Cameroon and will also contribute to the larger body of knowledge on Performance-based Financing (PBF).
The impact evaluation is a blocked-by-region cluster-randomized trial (CRT), having a pre-post with comparison design. The evaluation relies primarily on experimental control to answer the main research questions for this study. The evaluation relied on two main sources of data:
- Household surveys: A household survey was implemented at baseline (i.e., before implementation of PBF begins), and at endline (i.e., after PBF has been implemented for two years).
- Facility-based surveys: A facility-based survey was implemented at baseline and at endline.
Note: The Health Facility Baseline Survey is available online under Impact Evaluation Surveys Collection. The study is titled "Health Results-Based Financing Impact Evaluation 2012, Health Facility Baseline Survey."
The impact evaluation is a blocked-by-region cluster-randomized trial (CRT), having a pre-post with comparison design. The evaluation relies primarily on experimental control to answer the main research questions for this study. The evaluation relied on two main sources of data:
- Household surveys: A household survey was implemented at baseline (i.e., before implementation of PBF begins), and at endline (i.e., after PBF has been implemented for two years).
- Facility-based surveys: A facility-based survey was implemented at baseline and at endline.
Note: The Health Facility Baseline Survey is available online under Impact Evaluation Surveys Collection. The study is titled "Health Results-Based Financing Impact Evaluation 2012, Health Facility Baseline Survey."
Kind of data
Sample survey data [ssd]
Coverage
Geographic coverage
Littoral, North-West, South-West and East regions of Cameroon.
Unit of analysis
The target population for the household baseline survey is households with at least one pregnant woman or a woman with a child who was born during the two years preceding the survey.
Producers and sponsors
Authoring entity
| Name | Affiliation |
|---|---|
| Damien de Walque | World Bank |
Producer(s)
| Name | Affiliation |
|---|---|
| Gaston Sorgho | World Bank |
| Paul Jacob Robyn | World Bank |
Sampling
Sampling procedure
To select the households to be surveyed, a catchment area was established for each of the 245 primary care facilities. No more than 16 households were randomly selected for survey in the catchment area of each selected health facility. Only households with at least one pregnancy or birth in the 2 years preceding the survey were eligible for inclusion. The household survey sample covered 3874 households - 5296 women of reproductive age (15-49 years), 3380 non-pregnant women at the time of the evaluation, and 5867 children under five years old.
Data Collection
Dates of collection
| Start | End |
|---|---|
| 2012-03-03 | 2012-06-06 |
Mode of data collection
Face-to-face [f2f]
Questionnaires
The household questionnaire is composed to two parts: the first is a household survey for all members of the household, while the second part is specifically for women between 15-49.
In addition to the questionnaires, the survey teams did the following:
(1) Conduct rapid diagnostic tests for malaria for all children aged under 5 and currently pregnant women present in the household during the visit,
(2) Conduct rapid diagnostic tests for anemia for all children aged under 5 and non-pregnant women who have delivered a baby in the preceding 2 years present in the household during the visit, and
(3) Weigh and measure the height of all children aged under 5 years present in the household during the survey team's visit.
In addition to the questionnaires, the survey teams did the following:
(1) Conduct rapid diagnostic tests for malaria for all children aged under 5 and currently pregnant women present in the household during the visit,
(2) Conduct rapid diagnostic tests for anemia for all children aged under 5 and non-pregnant women who have delivered a baby in the preceding 2 years present in the household during the visit, and
(3) Weigh and measure the height of all children aged under 5 years present in the household during the survey team's visit.
Data access
Access authorities
| Name | Affiliation | |
|---|---|---|
| Damien de Walque | World Bank | ddewalque@worldbank.org |
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
Damien de Walque, The World Bank. Health Results-Based Financing Impact Evaluation 2012, Household Baseline Survey (RBFIE-HBL) 2012. Ref. CMR_2012_RBFIE-HBL_v01_M. Dataset downloaded from [URL] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
Damien de Walque, The World Bank. Health Results-Based Financing Impact Evaluation 2012, Household Baseline Survey (RBFIE-HBL) 2012. Ref. CMR_2012_RBFIE-HBL_v01_M. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Contacts
Contact(s)
| Name | Affiliation | |
|---|---|---|
| Damien de Walque | The World Bank | ddewalque@worldbank.org |
Metadata production
IDNo
DDI_CMR_2012_RBFIE-HBL_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the DDI |
Production date
2014-07-21
Version
Version 1 (July 2014)