Rapid Mortality Mobile Phone Survey, Malawi 2022-2023
Dulani, B; Amadi, D
; Romero-Prieto, J; Muthema, F; Saikolo, J; Chasukwa, M; Banda, J; Jamali, M; Souza, E; Bhattacharjee, T; Tlhajoane, M; Helleringer, S and Reniers, G
(2024).
Rapid Mortality Mobile Phone Survey, Malawi 2022-2023.
[Dataset].
DataFirst, Cape Town.
https://doi.org/10.25828/M86Z-NF08
; Romero-Prieto, J; Muthema, F; Saikolo, J; Chasukwa, M; Banda, J; Jamali, M; Souza, E; Bhattacharjee, T; Tlhajoane, M; Helleringer, S and Reniers, G
(2024).
Rapid Mortality Mobile Phone Survey, Malawi 2022-2023.
[Dataset].
DataFirst, Cape Town.
https://doi.org/10.25828/M86Z-NF08
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.
Keywords
Mortality| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Description of data capture | RaMMPS questionnaires were adapted from standard instruments for estimating mortality in surveys and censuses. 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. |
| Capture method | Interview: Telephone-delivery |
| Collection Period |
From To 24 January 2022 28 July 2023 |
| Date | 13 March 2024 |
| Language(s) of written materials | English |
| Creator(s) |
Dulani, B; Amadi, D; Romero-Prieto, J; Muthema, F; Saikolo, J; Chasukwa, M; Banda, J; Jamali, M; Souza, E; Bhattacharjee, T; Tlhajoane, M; Helleringer, S and Reniers, G
|
| Associated roles | Dhabi, A (Related Person) |
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Population Health (2012- ) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom; Malawi Epidemiology Intervention Research Unit (MEIRU); University of Malawi, Zomba, Malawi |
| Funders |
Project Funder Grant Number Funder URI |
| Date Deposited | 28 Nov 2024 11:28 |
| Last Modified | 11 Dec 2025 12:24 |
| Publisher | DataFirst |
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