Evidence map›Paper›PMID 41712867›Full record

SynthesisJMIR infodemiology2026

The Impact of Social Media Videos on Quantitative Health Outcomes: Systematic Review.

Fangyue Chen, Tricia Tay, Hannah Thould, Chatchaya Nangsue, Simon Dryden, Amish Acharya, Ara Darzi, Kate Grailey

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR infodemiology, 2026. 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

8 authors.

Fangyue ChenFleming Initiative, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, United Kingdom, 44 07510888677.ORCID 0000-0002-5440-3206
Tricia TayHelix Centre, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.ORCID 0000-0001-7502-2608
Hannah ThouldUniversity Hospitals Bristol and Weston NHS Foundation Trust, Bristol, United Kingdom.ORCID 0000-0003-3649-8253
Chatchaya NangsueFaculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0009-0001-2708-7084
Simon DrydenFleming Initiative, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, United Kingdom, 44 07510888677.ORCID 0000-0001-6713-0334
Amish AcharyaFleming Initiative, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, United Kingdom, 44 07510888677.ORCID 0000-0003-2908-5944
Ara DarziFleming Initiative, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, United Kingdom, 44 07510888677.ORCID 0000-0001-7815-7989
Kate GraileyFleming Initiative, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, United Kingdom, 44 07510888677.ORCID 0000-0002-4104-8444

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Social media has transformed the landscape of health communication. Video content can optimally activate our cognitive systems, enhance learning, and deliver accessible information. Evidence has suggested the positive impact of videos on health knowledge and health-related behaviors, yet the impact of social media videos on quantitative health outcomes is underresearched. Evaluating such outcomes poses unique challenges in measuring exposure and outcomes within internet-based populations. Objective: We aimed to evaluate the impact of social media videos on quantitative health outcomes, examine methodologies used to measure these effects, and describe the characteristics of video interventions and their delivery. Methods: In accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, MEDLINE, Embase, Web of Science, CINAHL, and Google Scholar were searched. Studies were eligible if they were original research evaluating long-form social media video interventions addressing any health-related condition, delivered via social media platforms, and reported quantitative health outcomes. The primary outcome was the effect of social media videos on quantitative health outcomes. Additional outcomes included participant characteristics, video features, delivery methods, and the use of theoretical frameworks. A narrative synthesis was conducted. A subgroup meta-analysis was performed to synthesize health outcomes mentioned in 2 or more studies with sufficient homogeneity. Risk of bias assessment was conducted using Cochrane Risk of Bias 2, ROBINS-I, or National Institutes of Health Quality Assessment Tool, depending on the study design. One reviewer screened titles and abstracts. Two reviewers independently conducted full-text screening, data extraction, and risk of bias assessment. Results: A systematic search was conducted on October 25, 2023, and was updated on June 12, 2025, yielding a total of 41,172 records after duplicate removal. Sixteen studies were included, involving 4158 participants. Mental health-related conditions were the most studied (10 studies). Most video interventions were delivered via YouTube (12 studies). Studies have reported that video interventions were associated with significant improvements in peri-procedural anxiety, mood, and physical activity levels, although most findings were limited to individual studies with variable methodological quality. Three studies that developed videos with user input and theoretical frameworks significantly impacted study-specific primary outcomes. A subgroup meta-analysis demonstrated a significant moderate impact of online video interventions in improving peri-procedural anxiety (standard mean difference=0.57, 95% CI 0.09-1.05). All but one study showed some concern or high risk of bias. Conclusions: We demonstrated a potential positive impact of social media videos on quantitative health outcomes, notably in improving peri-procedural anxiety. Videos developed with user input and theoretical frameworks significantly impacted study-specific primary outcomes. Nevertheless, there is the need to shift focus toward measuring physical health-related outcomes and to develop better designed, innovative methodologies to measure the impact that can better simulate the social media environment.

Indexed as

Health CommunicationOutcome Assessment, Health CareSocial MediaVideo RecordingDigital MediaHumansMedia Exposurehealth outcomeonline videoPreferred Reporting Items for Systematic Reviews and Meta-AnalysesPRISMAsocial media

Identifiers

PMID41712867
PMCPMC12919906

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.