Evidence map›Paper›PMID 42672058›Full record

ArticlePloS one2026

Understanding retention in longitudinal surveys conducted by mobile phone in lower-resource contexts: A case study from Kenya.

Corrina Moucheraud, Boyu Fan, Guanghao Li, Eric Ochieng, George Ganda, Ginger Golub, Alex Dahlen

Abstract read
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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Corrina MoucheraudDepartment of Public Health Policy and Management, New York University School of Global Public Health, New York, United States of America.ORCID https://orcid.org/0000-0001-7862-7928
Boyu FanDepartment of Biostatistics, New York University School of Global Public Health, New York, United States of America.ORCID https://orcid.org/0009-0003-0882-4469
Guanghao LiDepartment of Biostatistics, New York University School of Global Public Health, New York, United States of America.ORCID https://orcid.org/0009-0009-3869-7177
Eric OchiengInnovations for Poverty Action, Nairobi, Kenya.ORCID https://orcid.org/0009-0001-6084-1456
George GandaInnovations for Poverty Action, Nairobi, Kenya.
Ginger GolubInnovations for Poverty Action, Nairobi, Kenya.
Alex DahlenDepartment of Biostatistics, New York University School of Global Public Health, New York, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile phone-based surveys are increasingly used for data collection in global contexts - and although the strengths and limitations of this methodology in high-income countries are well-documented, less is known about using this approach (particularly for longitudinal data collection) in low- and middle-income countries, where mobile phone ownership has expanded rapidly. In this paper, we leverage data from a parent study about cervical cancer prevention to understand the features associated with retention and loss to follow-up in repeated random-digit dialed mobile phone-based surveys over time in Kenya. From a cohort of 1405 people surveyed in 2022, 1167 were found again in 2024 (83.1%) and 1106 completed the 2024 survey (78.7%). Survey re-completion was significantly associated with older age (versus 17-32 year olds: OR 1.63 [95% CI 1.21-2.20] for 33-38 year olds, OR 1.65 [95% CI 1.22-2.22] for 39-45 year olds, and OR 2.62 [95% CI 1.84-3.72] for ≥46 year olds), male gender (OR 1.44 [95% CI 1.14-1.83]), and household income. Only age was significantly associated with our secondary outcome of being retained in the sample for follow-up (regardless of survey re-completion). This study's high follow-up rate was not substantially different across these aforementioned groups, suggesting that mobile phone-based data collection is a promising approach, even for longitudinal surveys, in diverse global settings. We encourage more research about, and using, this methodology so researchers can better understand, and improve, follow-up and its determinants.

Indexed as

Cell PhoneAdolescentAdultFemaleHumansKenyaLongitudinal StudiesMaleMiddle AgedSurveys and QuestionnairesUterine Cervical NeoplasmsYoung Adult

Identifiers

PMID42672058
PMCPMC13528991

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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.