Reniers, G and Dulani, B. 2024. Rapid Mortality Mobile Phone Survey, Malawi 2022-2023. [Online]. DataFirst, Cape Town. Available from: https://doi.org/10.25828/M86Z-NF08
Reniers, G and Dulani, B. Rapid Mortality Mobile Phone Survey, Malawi 2022-2023 [Internet]. DataFirst; 2024. Available from: https://doi.org/10.25828/M86Z-NF08
Reniers, G and Dulani, B (2024). Rapid Mortality Mobile Phone Survey, Malawi 2022-2023. [Data Collection]. DataFirst, Cape Town. https://doi.org/10.25828/M86Z-NF08
Description
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
| 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. | ||||
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| Data capture method | Interview: Telephone-delivery | ||||
| Data Collection Period |
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| Date (Date published in a 3rd party system) | 13 March 2024 | ||||
| Language(s) of written materials | English |
| Data Creators | Reniers, G and Dulani, B |
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| 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 |
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| Date Deposited | 28 Nov 2024 11:28 |
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| Last Modified | 28 Nov 2024 11:29 |
| Publisher | DataFirst |
