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Sample selection bias in adult mortality estimates from mobile phone surveys

Evidence from 25 low- and middle-income countries

Dados Bibliográficos

ID2637875
AutoresSahar Ahmed (0000-0002-4070-1050, autor correspondente), Julio Romero-Prieto, Julio E Romero-Prieto (0000-0002-8131-7821), David A Sánchez‐páez (0000-0002-7828-8193), David A Sánchez-Páez, Bruno Masquelier (0000-0002-9585-891X), Tom Pullum, Georges Reniers (0000-0001-6582-1692)
Ano2024
Volume51
Páginas1167-1182
Data de publicação2024-11-08
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoDemographic Research (JOURNAL)
Identificadores do periódicoISSN: 1435-9871 • E-ISSN: 2363-7064
EditoraMax Planck Institute for Demographic Research (PUBLISHER • DE)
DOI10.4054/demres.2024.51.37
OpenAlexW4404126264
IdiomaEN
Citações recebidas2
Referências citadas13

BACKGROUNDMobile phone surveys are gaining traction in low-and middle-income countries, but mobile phone ownership (MPO) is not universal, potentially introducing sample selection bias in ensuing estimates. OBJECTIVETo evaluate MPO-associated sample selection bias in adult mortality estimates from sibling survival histories (SSH) administered to women of reproductive age. METHODSUsing data from 25 Demographic and Health Surveys, we (1) used logistic regression to assess the association between MPO and sociodemographic background characteristics;(2) used SSH to compare the probability of dying in adulthood (45q15) in a general population sample of women of reproductive age and a subsample of women who own a mobile phone, (3) and evaluated the use of post-stratification weighting to correct bias in adult mortality estimates derived from the subsample of mobile phone owners. RESULTSMPO correlated with sociodemographic characteristics in a predictable fashion.Summary indices of adult mortality (45q15) using data on siblings from respondents who owned a mobile phone aligned with the general population estimate in 20 out of 25 countries.Significant bias was identified in Papua New Guinea, Burundi, Rwanda, Haiti, and Zimbabwe, with the estimate being typically lower when based on reports of mobile phone owners.Where it existed, bias was most pronounced at either end of the age

Demographic economics · Developing country · Econometrics · Economic growth · Economics · Low and middle income countries · Mobile phone · Phone · Selection bias · Sociology · Statistics · Telecommunications · Computer Science · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Demography · Human Mobility and Location-Based Analysis

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

    Open Access•Kassoum Dianou, Bruno Masquelier et al.•BMJ Global Health•2025

  • Estimates of Under-Five Mortality From a Mobile Phone Survey During the Covid-19 Outbreak

    Open Access•Julio Romero-Prieto, Julio E Romero-Prieto et al.•Demography•2026

  • Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the Covid-19 pandemic

    Open Access•Austin E Schumacher, Hmwe Hmwe Kyu et al.•The Lancet•2024

  • A global assessment of civil registration and vital statistics systems

    Open Access•Line Mikkelsen, Lene Mikkelsen et al.•The Lancet•2015

  • Adult mortality in sub-Saharan Africa

    Open Access•Ian M Timaeus, Momodou Jasseh•Demography•2004

  • Errors in reported ages and dates in surveys of adult mortality

    Bruno Masquelier, Mufaro Kanyangarara et al.•Population Studies•2021

  • Increased Age Heaping in Mobile Phone Surveys Conducted in Low-Income and Middle-Income Countries

    Open Access•Helleringer, Samantha W Lau et al.•Socius Sociological Research for…•2023

Obras citantes distintas2
Citações por ano2
Intervalo de citações2025 - 2026 (2)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 2
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