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State Health Investment Project: Impact Evaluation Endline Survey, 2017

Nigeria, 2017
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Reference ID
NGA_2017_HRBFIE-EL_v01_M
Producer(s)
Eeshani Kandpal (World Bank)
Metadata
DDI/XML JSON
Study website
Created on
Dec 05, 2022
Last modified
Aug 28, 2024
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  • Study Description
  • Data Dictionary
  • Downloads
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data processing
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    NGA_2017_HRBFIE-EL_v01_M

    Title

    State Health Investment Project: Impact Evaluation Endline Survey, 2017

    Abbreviation or Acronym

    NSHIP IE

    Country
    Name Country code
    Nigeria NGA
    Study type

    Other Household Health Survey

    Series Information

    This is the endline survey for the impact evaluation of a health results-based financing pilot in Nigeria. The baseline data were collected in 2014 while these endline data are from 2017.

    Abstract

    Despite years of human and financial investment in the Nigerian Health Sector, the country did not achieve the health-related millennium development goals (MDGs) by 2015. According to a 2010 UNDP MDG report, the likelihood that the country will achieve MDG 4 (reducing under-five mortality by two thirds between 1990 and 2015) and MDG 5 (reducing maternal mortality ratio by three quarters between 1990 and 2015) is average at best. Although the under-five mortality rate fell by a fifth in five years, from 201 deaths/1,000 live births in 2003 to 157 deaths/1,000 live births in 2008, and the maternal mortality ratio fell by 32 percent (800 deaths/100,000 live births in 2003 to 545 deaths/100,000 live births in 2008); these figures do not come close to the two-thirds and three quarters level set for the MDGs. The main challenges to achieving these goals have been identified as “declining resources, ensuring universal access to an essential package of care, improving the quality of healthcare services and increasing demand for health services and providing financial access especially to vulnerable groups” (UNDP 2010).

    To overcome these challenges and accelerate the progress of the country to achieving the health related MDGs, innovative approaches are needed to effectively manage the Nigeria health system and improve on its efficiency to enhance the health status of the population. The World Bank and the government of Nigeria are in the process of preparing a results-based financing (RBF) project which provides incentives for improving performance at critical levels within the Nigerian health system and aims to address some of these challenges. A key feature of the RBF project in the Nigerian context is the provision of financial incentives to States and Local Government Agencies (LGA) based on results achieved. In addition, select health facilities will also receive performance incentives. This approach will also build institutional capacity for health system management while introducing a culture of performance excellence at the health facility level and higher levels of health systems management. Given the innovative nature of the proposed project interventions, the World Bank and the Government of Nigeria seek to nest a rigorous impact evaluation in the project to provide evidence that can be used to inform decisions on whether to scale up the innovations implemented under the project. The primary goal of the impact evaluation of the RBF project in Nigeria is to determine if providing financial incentives linked directly to performance increases the quantity and quality of maternal and child health (MCH) services. In addition, it is anticipated that the impact evaluation should provide answers that are generalizable to specific regions in Nigeria.

    These are the endline data in support of this impact evaluation.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Health facility; household

    Version

    Version Description

    Version 2.1: Edited, anonymous dataset for public distribution.

    Version Notes

    These data have been anonymized.

    Scope

    Notes
    • HOUSEHOLD: Household characteristics, household listing, education, asset ownership, water and sanitation, household use of insecticide treated mosquito nets and healthcare utilization, women's characteristics, child mortality, tetanus toxoid, maternal and newborn health, marriage, contraception and HIV/AIDS knowledge, and healthcare utilization, birth history, children's characteristics, vitamin A, breastfeeding, care of illness, malaria, immunization, and anthropometry, with an optional module for child development.

    • FACILITY: health service provision, facility assessment, structural quality of laboratory, pharmacy, and maternity ward, patient exit interviews, direct observation of care, provider interviews, provider knowledge tests.

    Coverage

    Geographic Coverage

    Urban and rural areas in the six states of Adamawa, Benue, Nasarawa, Ogun, Ondo, and Taraba.

    Universe
    • Primary and secondary health facilities in treatment states. In control states, a randomly-selected sample of primary and secondary health facilities.

    • Households with recent pregnancies (in the last two years) or a currently pregnant woman from the catchment areas of the above facilities.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Eeshani Kandpal (World Bank) The World Bank
    Producers
    Name Affiliation Role
    Federal Ministry of Health Federal Government of Nigeria Technical Supervision
    Nigerian Bureau of Statistics Federal Government of Nigeria Data Collection
    National Population Commission of Nigeria Federal Government of Nigeria Data Collection
    Development Economics Data Group The World Bank Data Collection
    Funding Agency/Sponsor
    Name Abbreviation Role
    Health Results Innovation Trust Fund HRITF Funder

    Sampling

    Sampling Procedure

    The sample frame for the health facility surveys comprised one randomly-chosen facility per ward from all functioning primary and secondary health facilities in each LGA (77 LGAs in total; all but one pre-pilot LGA in treatment state). For indicators that are measured at the level of the health facility, the evaluation is a two-level cluster randomized trial, that is, a study in which units are nested within clusters and the clusters are randomly assigned to the treatment or control condition. In this case, health facilities are nested within LGAs and LGAs are randomly assigned to the treatment or control condition. The referral (secondary) hospital in each LGA was also sampled.

    HOUSEHOLDS: The sampling frame consists of households in the 77 LGAs that are part of the evaluation. To ensure an efficient sample, the sampling frame was limited to those households that included at least one woman who has given birth or been pregnant in the last two years. By restricting the sampling frame in such a way, we maximize the proportion of the sample that will have at least one woman who gave birth in the last two years, and the proportion of households that have at least one child under the age of five. While this sampling frame does not give us a fully representative sample of the Nigerian population, it gives a representative sample of the population of interest from this program. Sampling of households was done as follows: First, we listed all enumeration areas in the LGAs that belong to the study, and then randomly drew enumeration areas with probability based on size. Within enumeration areas, the survey firm listed all households within the enumeration area that included at least one woman who has given birth within the last 2 years. Then, 15 households were randomly drawn from that listing.

    Data collection

    Dates of Data Collection
    Start End
    2017-07 2017-09
    Mode of data collection
    • Computer Assisted Personal Interview [capi]
    Data Collectors
    Name
    Nigerian Bureau of Statistics
    National Population Commission of Nigeria
    Supervision

    Development Economics Research Group and Development Economics Data Group of The World Bank.

    Data processing

    Data Editing

    Data editing took place at a number of stages throughout the processing, including:
    • Office editing and coding
    • During data entry
    • Structure checking and completeness
    • Secondary editing
    • Structural checking of Stata data files

    Depositor information

    Depositor
    Name Affiliation
    Cathrine Machingauta The World Bank
    Date of Deposit

    2019-07-26

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes Affidavit of Confidentiality
    Access conditions

    Licensed datasets, accessible under conditions and following review.

    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigators
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Example:
    The Federal Ministry of Health and The World Bank. Nigeria State Health Investment Project: Impact Evaluation Endline Survey, 2017. Ref. NGA_2017_HRBFIE-EL_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.

    Copyright

    (c) 2017, The World Bank.

    Contacts

    Contacts
    Name Affiliation Email
    Eeshani Kandpal The World Bank ekandpal@worldbank.org

    Metadata production

    DDI Document ID

    DDI_NGA_2017_HRBFIE-EL_v01_M_WB

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

    2021-07-26

    Metadata version

    DDI Document version

    Version 01 (July 2021)

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