Evidence map›Paper›PMID 39146532›Full record

ArticleJournal of medical Internet research2024

Using Short-Form Videos to Get Clinical Trial Newcomers to Sign Up: Message-Testing Experiment.

Sisi Hu, Ciera E Kirkpatrick, Namyeon Lee, Yoorim Hong, Sungkyoung Lee, Amanda Hinnant

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. 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.

Sisi Hu *School of Journalism and Strategic Media, University of Arkansas, Fayetteville, AR, United States.ORCID 0000-0002-2192-0514
Ciera E Kirkpatrick *College of Journalism & Mass Communications, University of Nebraska-Lincoln, Lincoln, NE, United States.ORCID 0000-0002-2598-753X
Namyeon Lee *Department of Mass Communication, University of North Carolina at Pembroke, Pembroke, NC, United States.ORCID 0000-0002-1771-0311
Yoorim Hong *School of Journalism, University of Missouri, Columbia, MO, United States.ORCID 0000-0003-3439-6608
Sungkyoung Lee *School of Journalism, University of Missouri, Columbia, MO, United States.ORCID 0000-0002-9769-3063
Amanda Hinnant *School of Journalism, University of Missouri, Columbia, MO, United States.ORCID 0000-0002-9180-6848

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecruiting participants for clinical trials poses challenges. Major barriers to participation include psychological factors (eg, fear and mistrust) and logistical constraints (eg, transportation, cost, and scheduling). The strategic design of clinical trial messaging can help overcome these barriers. While strategic communication can be done through various channels (eg, recruitment advertisements), health care providers on the internet have been found to be key sources for communicating clinical trial information to US adults in the social media era.

objectiveThis study aims to examine how communication source (ie, medical doctors and peers) and message framing of TikTok videos (ie, psychological and logistical framing) influence clinical trial-related attitudes, perceptions, and sign-up behaviors under the guidance of the integrated behavioral model.

methodsThis study used a 2 (source: doctor vs peer) × 2 (framing: psychological vs logistical) between-participant factorial design web-based experiment targeting adults in the United States who had never participated in clinical trials (ie, newcomers). A Qualtrics panel was used to recruit and compensate the study respondents (n=561). Participants viewed short-form videos with doctors or peers, using psychological or logistical framing. The main outcome measures included perceived source credibility, self-efficacy, attitude toward clinical trial participation, behavioral intention, and sign-up behavior. Structural equation modeling was used to analyze the direct and indirect effects of message factors on the outcome variables. Source (doctor=1; peer=0) and framing (psychological=1; logistical=0) were dummy-coded.

resultsDoctor-featured messages led to greater perceived source credibility (β=.31, P<.001), leading to greater self-efficacy (95% CI 0.13-0.30), which in turn enhanced behavioral intention (95% CI 0.12-0.29) and clinical trial sign-up behavior (95% CI 0.02-0.04). Logistical barrier-framed messages led to greater self-efficacy (β=-.09, P=.02), resulting in higher intention to participate in clinical trials (95% CI -0.38 to -0.03) and improved sign-up behavior (95% CI -0.06 to -0.004). Logistical barrier-framed messages were also directly associated with an increased likelihood of signing up for a clinical trial (β=-.08, P=.03). The model accounted for 21% of the variance in clinical trial sign-up behavior. Attitude did not significantly affect behavioral intention in this study (β=.08, P=.14), and psychological and logistical barrier-framed messages did not significantly differ in attitudes toward clinical trial participation (β=-.04, P=.09).

conclusionsThese findings advance our understanding of how people process popular message characteristics in short-form videos and lend practical guidance for communicators. We encourage medical professionals to consider short-form video sites (eg, TikTok and Instagram Reels) as effective tools for discussing clinical trials and participation opportunities. Specifically, featuring doctors discussing efforts to reduce logistical barriers is recommended. Our measuring of actual behavior as an outcome is a rare and noteworthy contribution to this research.

Indexed as

Clinical Trials as TopicAdultFemaleHumansInternetMaleMiddle AgedPatient SelectionUnited StatesVideo RecordingYoung Adultclinical trialclinical trial recruitmentframingintegrated behavioral modellogistical barrierspsychological barriersrecruitmentshort-form videossocial media usesource credibilityTikTok

Identifiers

PMID39146532
PMCPMC11362704

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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.