The World Bank Working for a World Free of Poverty Microdata Library
  • Data Catalog
  • About
  • Collections
  • Citations
  • Terms of use
  • Login
    Login
    Home / Central Data Catalog / SIEF / MWI_2022_URTDDMT-IE_V01_M
sief

Using Remote Tracking to Detect and Deter Medications Theft, Impact Evaluation 2022

Malawi, 2022
Reference ID
MWI_2022_URTDDMT-IE_v01_M
DOI
https://doi.org/10.48529/0vfe-tb87
Producer(s)
Ryan Jablonski, Brigitte Seim, Mariana Carvalho, Clark Gibson
Collection(s)
The Strategic Impact Evaluation Fund (SIEF) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 21, 2026
Last modified
Sep 21, 2026
Page views
414
Downloads
21
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Access policy
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Citation
  • Identification

    Survey ID number

    MWI_2022_URTDDMT-IE_v01_M

    Title

    Using Remote Tracking to Detect and Deter Medications Theft, Impact Evaluation 2022

    Country/Economy
    Name Country code
    Malawi MWI
    Study type

    Administrative Records, Health (ad/hea]

    Series Information

    The study documented here is part of a larger project and the baseline and endline surveys are not related to this evaluation.

    Abstract
    Medicine theft is likely one of the leading causes of preventable disease in low income countries. In Malawi, where our evaluation takes place, Ministry of Health officials estimate that 29% of spending on medicines and medical supplies disappears due to theft alone (Mphande, 2017). Our survey work indicated that 75% of all communities in Malawi have experienced the theft of medical supplies (author surveys). Malawi is a particularly extreme outlier, but these estimates are not far off from estimates in other countries (Bate et al., 2010; Bouchard et al., 2012; Savedoff, 2007; Hope Sr, 2015; Ferrinho and Van Lerberghe, 2002; Lewis, 2006). Additionally, medicine theft costs governments and donors many millions each year between lost medications and spending on supplemental procurement procedures (Vian, 2006; Garc´ıa, 2019; Bruckner, 2019; Ferrinho and Van Lerberghe, 2002; Jones and Jing, 2011).

    Documenting and mitigating procurement and corruption challenges is particularly vital amidst the COVID-19 pandemic. Estimates from previous health crises suggest that ineffective health service delivery explains much regional variation in mortality rates and subsequent poverty in poorly institutionalized health settings (Christensen et al., 2020; Maffioli, 2018). Moreover, the rapid expansion of global health aid has created opportunities for higher rates of theft and corruption (Schipani et al., 2020; Thorp, 2020; Gallego et al., 2020; Eze et al., 2022).

    One goal of this research was to evaluate how advances in electronic tracking technology might improve the ability of health providers and researchers to measure patterns of medicine diversion and audit procurement networks, particularly in environments where procurement capacity and investment are low (Lewis, 2006; Bruckner, 2019). A second goal of this research was to experimentally identify the deterrent effect of procurement oversight.
    Kind of Data

    Administrative records data [adm]

    Version

    Version Description

    v01: Edited, anonymized dataset

    Version Date

    2022-05-01

    Scope

    Notes

    This study focuses on the use of remote tracking to detect and deter medications theft, with data on intended destination facilities and different types of medications.

    Keywords
    Medications theft Remote tracking Medicine Malawi

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Ryan Jablonski London School of Economics and Political Science
    Brigitte Seim University of North Carolina, Chapel Hill
    Mariana Carvalho University of California, San Diego
    Clark Gibson University of California, San Diego
    Funding Agency/Sponsor
    Name Abbreviation
    Strategic Impact Evaluation Fund SIEF

    Sampling

    Sampling Procedure

    Details on sampling procedure for this project can be found in the "Using Remote Tracking to Detect and Deter Medications Theft in Malawi (P170615) World Bank Strategic Impact Evaluation Fund (SIEF) Final Report," available to download.

    Survey instrument

    Questionnaires

    The dataset only includes administrative data, so no survey instrument was used for this study.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2022-03-01 2022-04-30 Endline administrative
    Mode of data collection
    • Other [oth]
    Data Collection Notes

    Details on data collection for this project can be found in the "Using Remote Tracking to Detect and Deter Medications Theft in Malawi (P170615) World Bank Strategic Impact Evaluation Fund (SIEF) Final Report," available to download.

    Access policy

    Location of Data Collection

    World Bank Microdata Library

    Depositor information

    Depositor
    Name Affiliation
    Meyhar Mohammed LNU The World Bank
    Date of Deposit

    2024-01-24T05:00:00.000Z

    Data Access

    Access authority
    Name Affiliation URL Email
    Alaka Holla The World Bank aholla@worldbank.org
    Brigitte Seim University of North Carolina, Chapel Hill bseim@email.unc.edu
    Strategic Impact Evaluation Fund The World Bank https://www.worldbank.org/en/programs/sief-trust-fund siefimpact@worldbank.org
    Confidentiality
    Is signing of a confidentiality declaration required?
    true
    Access conditions

    Licensed 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:
    Ryan Jablonski (London School of Economics and Political Science), Brigitte Seim (University of North Carolina, Chapel Hi), Mariana Carvalho (University of California, San Diego), and Clark Gibson (University of California, San Diego). Malawi - Using Remote Tracking to Detect and Deter Medications Theft, Impact Evaluation 2022. Ref: MWI_2022_URTDDMT-IE_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 URL
    Ryan Jablonski London School of Economics and Political Science ryansjablonski@gmail.com
    Brigitte Seim University of North Carolina, Chapel Hill bazimm@gmail.com
    Mariana Carvalho University of California, San Diego
    Clark Gibson University of California, San Diego
    Strategic Impact Evaluation Fund The World Bank siefimpact@worldbank.org https://www.worldbank.org/en/programs/sief-trust-fund

    Metadata production

    DDI Document ID

    DDI_MWI_2022_URTDDMT-IE_v01_M_WB

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

    2025-07-23T04:00:00.000Z

    Metadata version

    DDI Document version

    Version 01 (July 2025)

    Version date

    2025-07-23T04:00:00.000Z

    Citation

    Citation
    loading, please wait...
    Citation format
    Export citation: RIS | BibTeX | Plain text
    Back to Catalog
    The World Bank Working for a World Free of Poverty
    • IBRD IDA IFC MIGA ICSID

    © The World Bank Group, All Rights Reserved.

    This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.