Evidence map›Paper›PMID 40895810›Full record

ArticleField methods2025

Online Survey Retention and Re-engagement: Learning from the COVID-19 Social Study.

Feifei Bu, Alexandru Cernat, Andrew Steptoe, Daisy Fancourt

Abstract read
In one paragraph

Article in Field methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Feifei BuDepartment of Behavioural Science and Health, University College London, London, UK.ORCID https://orcid.org/0000-0003-2060-3768
Alexandru CernatDepartment of Social Statistics, University of Manchester, Manchester, UK.
Andrew SteptoeDepartment of Behavioural Science and Health, University College London, London, UK.
Daisy FancourtDepartment of Behavioural Science and Health, University College London, London, UK.ORCID https://orcid.org/0000-0002-6952-334X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article examines factors associated with survey attrition/retention in an online panel survey with weekly/monthly follow-ups during the COVID-19 pandemic. It also explores the effectiveness of making contact with dropout participants and factors associated with sample re-engagement, as well as motivations and barriers to maintaining survey participation. Our data consisted of over 1.2 million records from over 70,000 participants collected between March 2020 and April 2022. On average, 92.7% participants during weekly follow-ups and 95.9% during monthly follow-ups participated again in a later wave. The high retention rates, to some extent, could be attributed to a high level of altruistic motivations during a global health crisis and to the use of retention strategies to create a project community. A similar set of factors were related to both survey attrition/retention and re-engagement. However, some differences were also found, indicating the possibility of distinct decision processes.

Identifiers

PMID40895810
PMCPMC12398353

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.