Evidence map›Paper›PMID 38315543›Full record

ArticleJMIR formative research2024

Testing Behavioral Messages to Increase Recruitment to Health Research When Embedded Within Social Media Campaigns on Twitter: Web-Based Experimental Study.

Sandro T Stoffel, Jing Hui Law, Robert Kerrison, Hannah R Brewer, James M Flanagan, Yasemin Hirst

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Modern sources of controls in case-control studies.American journal of epidemiology · 2025
    Article
  2. Article
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

6 authors.

Sandro T StoffelDepartment of Behavioural Science and Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0124-0941
Jing Hui LawWolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0000-0002-3080-9623
Robert KerrisonSchool of Health Sciences, University of Surrey, Guildford, United Kingdom.ORCID https://orcid.org/0000-0002-8900-749X
Hannah R BrewerDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-5495-8597
James M FlanaganDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-4955-1383
Yasemin HirstDepartment of Behavioural Science and Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0167-9428

Funding

Cancer Research UK 26726
6 · The paper itself

Abstract

backgroundSocial media is rapidly becoming the primary source to disseminate invitations to the public to consider taking part in research studies. There is, however, little information on how the contents of the advertisement can be communicated to facilitate engagement and subsequently promote intentions to participate in research.

objectiveThis paper describes an experimental study that tested different behavioral messages for recruiting study participants for a real-life observational case-control study.

methodsWe included 1060 women in a web-based experiment and randomized them to 1 of 3 experimental conditions: standard advertisement (n=360), patient endorsement advertisement (n=345), and social norms advertisement (n=355). After seeing 1 of the 3 advertisements, participants were asked to state (1) their intention to take part in the advertised case-control study, (2) the ease of understanding the message and study aims, and (3) their willingness to be redirected to the website of the case-control study after completing the survey. Individuals were further asked to suggest ways to improve the messages. Intentions were compared between groups using ordinal logistic regression, reported in percentages, adjusted odds ratio (aOR), and 95% CIs.

resultsThose who were in the patient endorsement and social norms-based advertisement groups had significantly lower intentions to take part in the advertised study compared with those in the standard advertisement group (aOR 0.73, 95% CI 0.55-0.97; P=.03 and aOR 0.69, 95% CI 0.52-0.92; P=.009, respectively). The patient endorsement advertisement was perceived to be more difficult to understand (aOR 0.65, 95% CI 0.48-0.87; P=.004) and to communicate the study aims less clearly (aOR 0.72, 95% CI 0.55-0.95; P=.01). While the patient endorsement advertisement had no impact on intention to visit the main study website, the social norms advertisement decreased willingness compared with the standard advertisement group (157/355, 44.2% vs 191/360, 53.1%; aOR 0.74, 95% CI 0.54-0.99; P=.02). The majority of participants (395/609, 64.8%) stated that the messages did not require changes, but some preferred clearer (75/609, 12.3%) and shorter (59/609, 9.7%) messages.

conclusionsThe results of this study indicate that adding normative behavioral messages to simulated tweets decreased participant intention to take part in our web-based case-control study, as this made the tweet harder to understand. This suggests that simple messages should be used for participant recruitment through Twitter (subsequently rebranded X).

Indexed as

advertiseadvertisementadvertisementsadvertisingbehavioralbehavior changebehaviouralbehaviour changecampaigncampaignsexperimental designmessagemessagesmessagingrecruitrecruitingrecruitmentsocial mediasocial normsTwitter

Identifiers

PMID38315543
PMCPMC10877493

What OpenQuestion holds

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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.