Evidence map›Paper›PMID 41285434›Full record

ArticleBMJ global health2025

Measuring adult mortality from mobile phone surveys in Burkina Faso, Malawi and the Democratic Republic of the Congo.

Kassoum Dianou, Bruno Masquelier, Shammi Luhar, Bruno Lankoandé, Ashira Menashe-Oren, Abdramane Soura, Hervé Bassinga, Malebogo Tlhajoane, Boniface Dulani, Pierre Z Akilimali and 1 more

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Kassoum DianouInstitut Supérieur des Sciences de la Population (ISSP), Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso kassdianou@gmail.com.ORCID 0009-0006-0795-3447
Bruno MasquelierCenter for Demographic Research (DEMO), Louvain University, Louvain-la-Neuve, Belgium.
Shammi LuharDepartment of Population Health, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.
Bruno LankoandéInstitut Supérieur des Sciences de la Population (ISSP), Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso.
Ashira Menashe-OrenCenter for Demographic Research (DEMO), Louvain University, Louvain-la-Neuve, Belgium.ORCID 0000-0002-4781-5384
Abdramane SouraInstitut Supérieur des Sciences de la Population (ISSP), Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso.
Hervé BassingaInstitut Supérieur des Sciences de la Population (ISSP), Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso.ORCID 0000-0003-3952-0743
Malebogo TlhajoaneDepartment of Population Health, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.ORCID 0000-0002-0601-5516
Boniface DulaniDepartment of Politics and Government, University of Malawi, Zomba, Malawi.
Pierre Z AkilimaliKinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.ORCID 0000-0002-3828-6214
Georges ReniersDepartment of Population Health, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.

Funding

Gates Foundation INV-023211
6 · The paper itself

Abstract

In many low and middle-income countries, adult mortality estimates are derived from surveys and censuses conducted through face-to-face interviews. These interviews can be time-intensive and are often impractical during health crises or humanitarian emergencies. The expansion in cellphone ownership and network coverage has created new opportunities for collecting demographic data through mobile phone surveys, but our understanding of selection biases and reporting errors of such data remains incomplete. This study reports on adult mortality estimates obtained through mobile phone surveys conducted in Burkina Faso, Malawi and the Democratic Republic of the Congo in 2021 and 2022. To mitigate respondent fatigue and network interruptions, we used a shortened version of the set of questions generally used in surveys to ask about the survival of respondents' siblings. Mortality estimates obtained from mobile phone interviews were lower than those from face-to-face demographic surveys. Mortality rates from the mobile phone surveys were also approximately half those expected from World Population Prospects (WPP) estimates. We attribute this underestimation primarily to reporting errors, including inaccuracies in the ages and timing of sibling deaths collected through the shortened instrument. Coverage biases due to mobile phone ownership likely played a secondary role in the reduced mortality estimates. After imputing ages and dates based on full sibling histories collected in previous face-to-face surveys, mortality rates were more consistent with WPP and Demographic and Health Survey estimates. However, estimates would be improved with more accurate age at death and time of death reports. Mobile phone surveys offer a promising alternative for monitoring adult mortality in settings where face-to-face data collection is not feasible, but they seem to be susceptible to more frequent reporting errors.

Indexed as

Cell PhoneMortalityAdolescentAdultAgedBurkina FasoDemocratic Republic of the CongoFemaleHumansMalawiMaleMiddle AgedSurveys and QuestionnairesYoung AdultData collectionDemographic and Health SurveysGlobal HealthHealth policies and all other topicsMaternal health

Identifiers

PMID41285434
PMCPMC12645625

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.