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Health Results-Based Financing Impact Evaluation 2014
Household Survey

Zimbabwe, 2011 - 2014
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Reference ID
ZWE_2014_HRBFIE-HH_v01_M
Producer(s)
Jed Friedman
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Oct 12, 2023
Last modified
Oct 12, 2023
Page views
33796
Downloads
122
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    ZWE_2014_HRBFIE-HH_v01_M

    Title

    Health Results-Based Financing Impact Evaluation 2014

    Subtitle

    Household Survey

    Country
    Name Country code
    Zimbabwe ZWE
    Study type

    Other Household Survey [hh/oth]

    Series Information

    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.

    Abstract

    The program has three components:
    (i) results-based contracting;
    (ii) management and capacity building; and
    (iii) monitoring.

    Under the first component, a portion of financing received by health facilities depends on the quantity and quality of services, with a focus on maternal and child health. User fees have also been abolished on a package of services in districts, with the aim of improving access to care.

    The impact evaluation was designed to inform several policy questions including the effects of the RBF pilot program on the utilization and quality of maternal and child health services as well as its effects on health system functioning.
    The impact evaluation comprised quantitative and qualitative approaches. The evaluation investigated the impact of RBF over a broad range of targeted and non-incentivized services related to maternal and child health services.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Household
    • Facility

    Version

    Version Description

    v01. Edited, anonymized datasets for public distribution.

    Scope

    Notes

    The Health Results-Based Financing Impact Evaluation 2014 (Household Survey) covers topics such as:

    • Health Care Coverage

      • Maternal and neonatal care
      • Child health and immunization
      • Corollary evidence on health service utilization from administrative data
    • Quality of service

      • Structural quality
      • Process quality
      • Corollary evidence on health service utilization from administrative data
      • Client satisfaction
    • Health systems

      • Out-of-pocket expenditures
      • Task-shifting and non-incentivized activities
      • Facility governance and autonomy
      • Human resources: health workers' satisfaction and motivation

    Coverage

    Geographic Coverage

    National

    Universe

    The 32 districts were purposively sampled from a universe of 64 districts in Zimbabwe and then pair-matched on predetermined, observable characteristics.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Jed Friedman The World Bank
    Producers
    Name Affiliation Role
    Ashis Das The World Bank Co-Principal Investigator
    Ronald Mutasa The World Bank` Senior Health Specialist and Task Team Leader
    Funding Agency/Sponsor
    Name Role
    Health Results Innovation Trust Fund Grant support
    Ministry of Finance and Economic Development Co-Funding
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Marjolein Dielemen Royal Tropicl Institute, Amsterdam Senior Advisor
    Summit Kane Royal Tropical Institute, Amsterdam Health Systems Advisor

    Sampling

    Sampling Procedure

    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.

    Weighting

    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.

    Survey instrument

    Questionnaires

    Zimbabwe's Health Results-Based Financing Impact Evaluation (Household Survey) 2014 has two structured questionnaires (available in English and downloadable under the "Resources" tab):

    1. 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

    2. 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

    Data collection

    Dates of Data Collection
    Start End Cycle
    2011-12 2012-02 Baseline
    2014-05 2014-08 Follow Up
    Mode of data collection
    • Face-to-face [f2f]
    Data Collectors
    Name Affiliation
    Ministry of Health and Child Care Government of Zimbabwe
    Data Collection Notes

    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.

    Data Access

    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:

    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].

    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

    Contacts
    Name Affiliation Email
    Jed Friedman The World Bank jfriedman@worldbank.org

    Metadata production

    DDI Document ID

    DDI_ZWE_2014_HRBFIE-HH_v01_M_WB

    Producers
    Name Affiliation Role
    Development Economics Data Group The World Bank Documentation of the DDI
    Date of Metadata Production

    2021-06-21

    Metadata version

    DDI Document version

    Version 1 (June 2021)

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