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Record W4402722631 · doi:10.2196/57747

Short-Form Video Informed Consent Compared With Written Consent for Adolescents and Young Adults: Randomized Experiment

2024· article· en· W4402722631 on OpenAlexvenueno aff
Aliyyat Afolabi, Elaine Cheung, Joanne Chen Lyu, Pamela M. Ling

Bibliographic record

VenueJMIR Formative Research · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsnot available
Fundersnot available
KeywordsInformed consentComprehensionSocial mediaYoung adultPsychologyFamily medicineMedicineClinical psychologyAlternative medicineDevelopmental psychologyComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Adolescents and young adults have the highest prevalence of e-cigarette use ("vaping"), but they are difficult to enroll in health research studies. Previous studies have found that video consent can improve comprehension and make informed consent procedures more accessible, but the videos in previous studies are much longer than videos on contemporary social media platforms that are popular among young people. OBJECTIVE: This study aimed to examine the effectiveness of a short-form (90-second) video consent compared with a standard written consent for a vaping cessation study for adolescents and young adults. METHODS: We conducted a web-based experiment with 435 adolescents and young adults (aged 13-24 years) recruited by a web-based survey research provider. Each participant was randomly assigned to view either a short-form video consent or a written consent form describing a behavioral study of a social media-based vaping cessation program. Participants completed a postexposure survey measuring three outcomes: (1) comprehension of the consent information, (2) satisfaction with the consent process, and (3) willingness to participate in the described study. Independent sample 2-tailed t tests and chi-square tests were conducted to compare the outcomes between the 2 groups. RESULTS: In total, 435 cases comprised the final analytic sample (video: n=215, 49.4%; written: n=220, 50.6%). There was no significant difference in characteristics between the 2 groups (all P>.05). Participants who watched the short-form video completed the consent review and postconsent survey process in less time (average 4.5 minutes) than those in the written consent group (5.1 minutes). A total of 83.2% (179/215) of the participants in the video consent condition reported satisfaction with the overall consent process compared with 76.3% (168/220) in the written consent condition (P=.047). There was no difference in the ability to complete consent unassisted and satisfaction with the amount of time between study conditions. There was no difference in the composite measure of overall comprehension, although in individual measures, participants who watched the short-form video consent performed better in 4 measures of comprehension about risk, privacy, and procedures, while participants who read the written document consent had better comprehension of 2 measures of study procedures. There was no difference between the groups in willingness to participate in the described study. CONCLUSIONS: Short-form informed consent videos had similar comprehension and satisfaction with the consent procedure among adolescents and young adults. Short-form informed consent videos may be a feasible and acceptable alternative to the standard written consent process, although video and written consent forms have different strengths with respect to comprehension. Because they match how young people consume media, short-form videos may be particularly well suited for adolescents and young adults participating in research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.977
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.033
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0180.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.180
GPT teacher head0.509
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designRandomized trial
DomainMethods
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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