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)
Georges Reniers, LSHTM, Boniface Dulani, IPOR
Collections
Metadata
Created on
Nov 12, 2024
Last modified
Nov 12, 2024
Page views
48932
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Identification
Survey ID Number
mwi-lshtm-ipor-rammpsm-2022-2023-v1
Title
Rapid Mortality Mobile Phone Survey, Malawi 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.
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 |
|---|---|
| Georges Reniers, LSHTM | London School of Hygiene and Tropical Medicine |
| Boniface Dulani, IPOR | Institute of Public Opinion and Research |
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.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2022-01-24 | 2023-07-28 |
Data Collection Mode
Computer Assisted Telephone Interview
Questionnaires
Questionnaires
RaMMPS questionnaires were adapted from standard instruments for estimating mortality in surveys and censuses.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst Support | University of Cape Town | support@data1st.org | 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
Access authority
| Name | Affiliation | URL |
|---|---|---|
| DataFirst | University of Cape Town | Link |
Disclaimer and copyrights
Copyright
This dataset documentation is licensed under a Creative Commons Attribution-Non Commercial 4.0 International Public License.
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
DDI Document version
Version 1