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RAMMPS

Rapid Mortality Mobile Phone Survey, Malawi 2022-2023

Malawi, 2022 - 2023
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Reference ID
mwi-lshtm-ipor-rammpsm-2022-2023-v1
Producer(s)
Boniface Dulani, David Amadi, Julio Romero-Prieto, Funny Muthema, Jacob Saikolo, Michael Chasukwa, Jethro Banda, Monica Jamali, Emmanuel Souza, Tathagata Bhattacharjee, Malebogo Tlhajoane, Stephane Helleringer, Georges Reniers
Collections
Rapid Mortality Mobile Phone Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 12, 2024
Last modified
Oct 09, 2025
Page views
588846
Downloads
951
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Distributor information
  • access_policy
  • Disclaimer and copyrights
  • Contacts
  • Metadata production

    • Identification

    Survey ID number
    mwi-lshtm-ipor-rammpsm-2022-2023-v1
    Title
    Rapid Mortality Mobile Phone Survey, Malawi 2022-2023
    Abbreviation or Acronym
    RAMMPS-M 2022-2023
    Country
    Name Country code
    Malawi mwi
    Study type
    Health Survey
    Abstract
    The Rapid Mortality Mobile Phone Surveys (RaMMPS) https://www.lshtm.ac.uk/rammps/ project aims to develop and field-test methods and survey instruments for collecting mortality data over the phone. RaMMPS studies are (repeated) cross-sectional surveys. The Malawi RaMMPS was conducted between 24 January 2022 and 28 July 2023.
    Kind of Data
    Survey data
    Unit of Analysis
    Individuals

    Version

    Version Description
    v1: Edited, anonymised data for distribution as research-use only data

    Scope

    Notes

    The RaMMPS survey for Malawi collected the following data: respondent background characteristics, COVID vaccination, deaths in the household (last three months), parental survival histories, sibling survival histories and pregnancy histories. The data comes from completed interviews as well as call attempts that did not result in a completed interview.

    Topics
    Topic Vocabulary URI
    Mortality MeSH
    Surveys and Questionnaires MeSH

    Coverage

    Geographic Coverage
    National survey, with identifiers for the region (South, Central, North), and district of residence.
    Universe
    Individuals aged 18-64.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Boniface Dulani Institute of Public Opinion and Research
    David Amadi London School of Hygiene & Tropical Medicine
    Julio Romero-Prieto London School of Hygiene & Tropical Medicine
    Funny Muthema Institute of Public Opinion and Research
    Jacob Saikolo Institute of Public Opinion and Research
    Michael Chasukwa Institute of Public Opinion and Research
    Jethro Banda London School of Hygiene & Tropical Medicine
    Monica Jamali University of Malawi
    Emmanuel Souza University of Malawi
    Tathagata Bhattacharjee London School of Hygiene & Tropical Medicine
    Malebogo Tlhajoane London School of Hygiene & Tropical Medicine
    Stephane Helleringer New York University Abu Dhabi
    Georges Reniers London School of Hygiene & Tropical Medicine
    Funding Agency/Sponsor
    Name Abbreviation Role
    Bill and Melinda Gates Foundation BMGF Funder
    Other Identifications/Acknowledgments
    Name Affiliation Role
    New York University- Abu Dhabi NYU-AD Provision of IT infrastucture for data processing
    Malawi Epidemiology Intervention Research Unit MEIRU Provision of IT infrastucture for data processing
    University of Malawi UNIMA Provision of IT infrastucture for data processing

    Sampling

    Sampling Procedure
    The sample for the Malawi RaMMPS was generated via (screened) Random Digit Dialing (RDD) without replacement. Using the mobile phone numbering structure in Malawi, a set of random numbers was generated by Sample Solutions (https://sample.solutions/), and verified against the Home Location Register (HLR), which is a database of registered (including pre-paid) numbers on the Global System for Mobile Communications (GSM) network. Enumerators conducted Computer Assisted Telephone Interviews (CATI) with active strata monitoring. Strata were a-priori defined in terms of broad age groups (18-49 and 50-64), sex, region (North, Central, and South), and type of place of residence (urban/rural), and the quotas for each stratum were derived from the 2018 Malawi Population and Housing Census. Once a stratum was filled, respondents with these attributes were no longer eligible to participate in the study. Fieldwork was divided into four blocks of 4 to 5 months each, and quotas were re-set at the beginning of each fieldwork block. Quotas for some of the strata were difficult to fill, and therefore an Interactive Voice Response Survey (IVR) was also used to identify respondents living in rural areas.

    Survey instrument

    Questionnaires
    RaMMPS questionnaires were adapted from standard instruments for estimating mortality in surveys and censuses.

    Data collection

    Dates of Data Collection
    Start End
    2022-01-24 2023-07-28
    Data Collection Mode
    • Computer Assisted Telephone Interview

    Distributor information

    Distributor
    Organization name Abbreviation URL
    London School of Hygiene & Tropical Medicine LSHTM

    access_policy

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town support@data1st.org
    Access conditions
    Access under a Creative Commons CC-BY-NC (Attribution, Non-Commercial use only) License
    Citation requirements
    Institute of Public Opinion and Research, and London School of Hygiene and Tropical Medicine. Rapid Mortality Mobile Phone Survey, Malawi 2022-2023 [dataset]. Zomba and London: IPOR and LSHTM [producers], 2024. Cape Town: DataFirst [distributor], 2024. DOI: https://doi.org/10.25828/M86Z-NF08

    Disclaimer and copyrights

    Copyright
    This dataset documentation is licensed under a Creative Commons Attribution-Non Commercial 4.0 International Public License.

    Contacts

    Contacts
    Name Affiliation Email URL
    DataFirst Support University of Cape Town support@data1st.org

    Metadata production

    Producers
    Name Abbreviation Affiliation Role
    London School of Hygiene and Tropical Medicine LSHTM LSHTM Metadata Producer
    Date of Metadata Production
    2024-03-13

    Metadata version

    DDI Document version
    Version 1
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