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Impact Evaluation of Nepal District Health Insurance Pilot 2014, Baseline Survey

Nepal, 2014
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Reference ID
NPL_2014_DHIPIE-BL_v01_M
DOI
https://doi.org/10.48529/h8ez-hb42
Producer(s)
Alemayehu A. Ambel, Ilana Seff, Tekabe Ayalew Belay
Collection(s)
The Strategic Impact Evaluation Fund (SIEF) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 19, 2018
Last modified
Sep 19, 2018
Page views
55883
Downloads
2936
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Citation
  • Identification

    Survey ID number

    NPL_2014_DHIPIE-BL_v01_M

    Title

    Impact Evaluation of Nepal District Health Insurance Pilot 2014

    Subtitle

    Baseline Survey

    Country/Economy
    Name Country code
    Nepal NPL
    Study type

    Other Household Health Survey [hh/hea]

    Abstract
    The Nepal Ministry of Health and Population has been working to develop a national health financing strategy in order to realize Nepal's vision of universal coverage. A parallel effort is ongoing to pilot a health insurance that will address rising out-of-pocket health expenditures and increasing lack of coverage for the poor.

    The primary objectives of the impact evaluation are to:
    1. Evaluate the effectiveness of the health insurance pilot for the at-risk population
    2. Conduct a process evaluation of the health insurance to illuminate potential constraints and incentive problems to inform the national scale-up
    3. Provide cost analysis data to inform decisions relating to coverage limits and price negotiations and to estimate the cost-effectiveness of results for the national scale-up.

    The results of this evaluation will be used to inform the design and implementation of Nepal's national health coverage plan.

    This evaluation consists of six treatment districts, where the new health insurance scheme will be rolled out.

    The impact evaluation of provision of new health insurance scheme will be primarily based on a randomized enrolment promotion/encouragement design targeted to increase take up rate of the new health insurance product. However, since the feasibility of this method in identifying the impact is highly dependent on the efficacy of the randomized encouragement on the take up of health insurance, a provision also is made to incorporate a quasi-experimental design which could be utilized for assessing the impact in case the randomized encouragement design does not result in sufficient take up differential. Specifically, under such conditions, a matched difference-in-difference design will be used for impact evaluation. Thus, the evaluation will combine both experimental as well as quasi-experimental designs, where the experimental design will be given priority over the quasi-experimental design.

    The baseline community and household surveys were conducted between March and May 2014. Encouragement intervention and implementation of the program were done in June-July 2014. The process evaluation was planned for June 2014 - January 2016, and the endline survey should be carried out in February 2016.
    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • households
    • communities

    Version

    Version Description

    v01, edited datasets with removed values for variables - direct identifiers.

    Scope

    Notes

    The scope of the study includes:

    • household roster
    • labor status, education
    • housing conditions and physical facilities
    • household assets, income
    • land ownership and livestock
    • health related financial shocks
    • food and non-food consumption
    • borrowing and savings
    • health status and utilization
    • risk preference
    • access to basic services and community characteristics
    • social capital and community empowerment
    • community programs
    • health insurance

    Coverage

    Geographic Coverage

    Six districts: Ilam, Baglung, Kailali, Udaypur, Gorkha and Kapilvastu

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Alemayehu A. Ambel World Bank
    Ilana Seff World Bank
    Tekabe Ayalew Belay World Bank
    Funding Agency/Sponsor
    Name
    Strategic Impact Evaluation Fund

    Sampling

    Sampling Procedure

    Recognizing the challenge in identifying households to be targeted for health insurance, the pilot will use proxy means testing as a targeting tool to identify households.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2014-03 2014-05 Baseline survey
    Data Collectors
    Name
    Full Bright Consultancy (Pvt.) Ltd., Kathmandu, Nepal
    Data Collection Notes

    The 153 Village Development Committees (VDCs) in the 6 districts will be randomly assigned to treatment and control group where the treatment VDCs will receive enrollment encouragement intervention. Approximately half of these VDCs will be randomly assigned to a treatment group that will receive the promotion and other half will be assigned to a control group which will not receive any such promotion.

    The differences in take-up rates between the treatment and control VDCs is the estimates of the effect of the encouragement mechanisms on the take-up rate.

    In addition to the primary data collection at the household level, existing data sources including the Health Management Information System (HMIS) which provides regular monitoring data, service tracking surveys, and household surveys will be used. The recently conducted Nepal Living Standard Survey and Nepal Demographic and Health Survey will be used to match the districts and verify the robustness of the evaluation design. Data from HMIS will also be used for regular monitoring of the implementation of the intervention.

    The evaluation will also include the collection of cost data, which will be combined with the impact estimates to assess the cost-effectiveness of the intervention and fiscal implications of taking it to scale.

    The evaluation will assess the intervention impact along four indicators:

    • utilization of inpatient care
    • utilization of outpatient care
    • out-of-pocket expense
    • drug stockout.

    Depositor information

    Depositor
    Name Affiliation
    DECSM - Surveys and Methods World Bank

    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:

    Alemayehu A. Ambel, Ilana Seff, Tekabe Ayalew Belay, World Bank. Impact Evaluation of Nepal District Health Insurance Pilot 2014 (DHIPIE-BL), Baseline Survey. Ref. NPL_2014_DHIPIE-BL_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
    Alemayehu A. Ambel DECDG - Development Data Group, World Bank aambel@worldbank.org
    Tekabe Ayalew Belay GHNDR - Health, Nutr & Population - GP, World Bank tbelay@worldbank.org

    Metadata production

    DDI Document ID

    DDI_NPL_2014_DHIPIE-BL_v01_M_WB

    Producers
    Name Affiliation Role
    Development Data Group World Bank Documentation of the study
    Date of Metadata Production

    2015-02-18

    Metadata version

    DDI Document version
    • v02 (June 206)
      Dataset "community_public" and Community Questionnaire added

    • v01 (February 2015)

    Citation

    Citation
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