ZWE_2014_HRBFIE-HH_v01_M
Health Results-Based Financing Impact Evaluation 2014
Household Survey
Name | Country code |
---|---|
Zimbabwe | ZWE |
Other Household Survey [hh/oth]
The Government of Zimbabwe funds its health sector at a level lower than many other Sub-Saharan African countries.2 As a result, a major financial burden of health care falls on households in the form of out-of-pocket payments, rendering the health system inequitable and inefficient. There is evidence that many poor households have to rely on substandard care or even forgo necessary health care due to their low capacity to pay. In response to this adverse health care scenario, and to operationalize the Results-Based Management Strategy, the Government has been implementing the RBF pilot program through the Health Sector Development Support Project since July 2011. The Government receives grant support from the Health Results Innovation Trust Fund for the RBF program. Cordaid, an international nongovernment organization, serves as a fundholder and provides technical support to the Government to execute RBF functions. The World Bank led the impact evaluation.
Sample survey data [ssd]
v01. Edited, anonymized datasets for public distribution.
The Health Results-Based Financing Impact Evaluation 2014 (Household Survey) covers topics such as:
Health Care Coverage
Quality of service
Health systems
National
The 32 districts were purposively sampled from a universe of 64 districts in Zimbabwe and then pair-matched on predetermined, observable characteristics.
Name | Affiliation |
---|---|
Jed Friedman | The World Bank |
Name | Affiliation | Role |
---|---|---|
Ashis Das | The World Bank | Co-Principal Investigator |
Ronald Mutasa | The World Bank` | Senior Health Specialist and Task Team Leader |
Name | Role |
---|---|
Health Results Innovation Trust Fund | Grant support |
Ministry of Finance and Economic Development | Co-Funding |
Name | Affiliation | Role |
---|---|---|
Marjolein Dielemen | Royal Tropicl Institute, Amsterdam | Senior Advisor |
Summit Kane | Royal Tropical Institute, Amsterdam | Health Systems Advisor |
The process evaluation applied a retrospective study design and a theory-based evaluation approach that made use of sequential mixed methods. The retrospective design allowed for classification of observations according to the outcomes of interest and retrospectively assessing their exposure and interaction with specific study factors, e.g., contextual factors and intervention design factors. This is facilitated by the theory-based evaluation approach, which examines the interaction between the context, the actors, and the intervention, and then attempts to explain how this interaction works to produce the outcomes of the intervention by interrogating the intervention’s formal theory of change. The theory-driven approach sought to explore the influence of contextual factors on interventions and its outcomes through tracking and validating the program impact pathways.
The DHE (District Health Executives) team members, facility managers, health workers, HCCs and health facility catchment communities within World Bank funded RBF districts constituted the sampling frame from which respondents were purposively drawn to participate in a qualitative inquiry. A multistage sampling approach was used to select the Province, Districts, Facilities and Community Members with each using Purposive Sampling although each had varying “purposes” or specific reasons for selection. The cascade sampling first selected three provinces from the eight rural provinces in which RBF operated. The criteria for selection was based on geographic spread to ensure representation from each geo-region. Then within each of the three selected provinces, one or two districts were selected based on their identification as cases of interest by the project implementing entity. A total of four districts were selected.
Finally, the third stage of sampling involved the selection of one high- and one low-performing facility from each selected district. Of note is that the facilities were in part selected based on performance as defined by their actual earnings relative to expected earnings. The classification of performance therefore entailed initially assessing facility performance using quantitative methods and then proceeding to obtain primary qualitative data. The research team collected primary data through in-depth interviews, focus group discussions, and group interviews. The basic principles of analyzing qualitative data were applied. In particular, the processing of data for each facility made use of a desktop matrix analysis of themes drawn from both the conceptual framework and others emerging from transcripts. A comparison of these qualitative data across facilities enabled the research team to identify trends across facilities and to interpret the findings.
Household wealth is estimated using a wealth index, calculated using data on households’ ownership of selected assets, materials used for housing construction, and types of water access and sanitation. The full list of variables used to construct this index and their weights is given at http://www.dhsprogram.com/programming/wealth%20index/Zimbabwe%20DHS%202010-11/zimbabwe%202010-11.pdf. Households are weighted using the DHS sampling weights.
Zimbabwe's Health Results-Based Financing Impact Evaluation (Household Survey) 2014 has two structured questionnaires (available in English and downloadable under the "Resources" tab):
Woman Questionnaire
a. Cover page
b. Table of contents
c. Consent
d. Knowledge on maternal health
e. Reproduction
f. Contraception
g. Trust in health services
h. HIV/AIDS and other
i. Pregnancy and postnatal care
j. Maternal mental health
k. Interviewer's Observations
Household Questionnaire
a. Cover page
b. Table of contents
c. Consent form
d. HH roster
e. Economic activities
f. HH characteristics
g. Health status and utilization
h. Growth monitoring
i. Child immunization, health and nutrition
j. Weight, height and MUAC measurement
k. Interviewer's observation
Start | End | Cycle |
---|---|---|
2011-12 | 2012-02 | Baseline |
2014-05 | 2014-08 | Follow Up |
Name | Affiliation |
---|---|
Ministry of Health and Child Care | Government of Zimbabwe |
Data were collected at household and facility levels at baseline and at midline from 32 districts serving as the total study sample for the impact evaluation, comprising 16 districts of the 18 districts implementing RBF and 16 control districts not conducting RBF. The 32 districts were purposively sampled from a universe of 64 districts in Zimbabwe and then pair-matched on predetermined, observable characteristics. The matched pairing sought to improve the power of inference and assure balance on observable district and facility characteristics. Additionally, administrative data were extracted to cover the entire study period. Qualitative process monitoring data (from health worker interviews and direct observations) were also collected.
Use of the dataset must be acknowledged using a citation which would include:
Example:
Jed Friedman, World Bank. Health Results-Based Financing Impact Evaluation 2014, Household Survey (HRBFIE-HH). Ref. ZWE_2014_HRBFIE-HH_v01_M. Dataset downloaded from [URL] on [date].
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.
Name | Affiliation | |
---|---|---|
Jed Friedman | The World Bank | jfriedman@worldbank.org |
DDI_ZWE_2014_HRBFIE-HH_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
2021-06-21
Version 1 (June 2021)
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