Evidence map›Paper›PMID 42340855›Full record

ArticleJMIR infodemiology2026

Tetanus Health Information on YouTube and TikTok: Cross-Sectional Analysis of Quality, Reliability, and Public Health Implications.

Rui Huang, Yajing Shen, Guangqing Zou, Jun Zhou, Xiaolu Deng, Qian Li, Xiaoxiong Chen

Abstract read
In one paragraph

Article in JMIR infodemiology, 2026. 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

7 authors.

Rui Huang *Department of Emergency Medicine, The First Affiliated Hospital (Southwest Hospital) of Army Medical University, No. 30, Gaotanyan Zheng Street, Shapingba District, Chongqing, China, 86 15696628112.ORCID http://orcid.org/0009-0009-5338-1883
Yajing Shen *Department of Emergency Medicine, The First Affiliated Hospital (Southwest Hospital) of Army Medical University, No. 30, Gaotanyan Zheng Street, Shapingba District, Chongqing, China, 86 15696628112.ORCID http://orcid.org/0000-0001-6552-3804
Guangqing ZouDepartment of Emergency Medicine, The First Affiliated Hospital (Southwest Hospital) of Army Medical University, No. 30, Gaotanyan Zheng Street, Shapingba District, Chongqing, China, 86 15696628112.ORCID http://orcid.org/0009-0001-2526-6150
Jun ZhouDepartment of Emergency Medicine, The First Affiliated Hospital (Southwest Hospital) of Army Medical University, No. 30, Gaotanyan Zheng Street, Shapingba District, Chongqing, China, 86 15696628112.ORCID http://orcid.org/0009-0004-0876-5435
Xiaolu DengDepartment of Emergency Medicine, The First Affiliated Hospital (Southwest Hospital) of Army Medical University, No. 30, Gaotanyan Zheng Street, Shapingba District, Chongqing, China, 86 15696628112.ORCID http://orcid.org/0009-0008-5834-4793
Qian LiDepartment of Emergency Medicine, The First Affiliated Hospital (Southwest Hospital) of Army Medical University, No. 30, Gaotanyan Zheng Street, Shapingba District, Chongqing, China, 86 15696628112.ORCID http://orcid.org/0009-0007-9606-4496
Xiaoxiong ChenDepartment of Emergency Medicine, The First Affiliated Hospital (Southwest Hospital) of Army Medical University, No. 30, Gaotanyan Zheng Street, Shapingba District, Chongqing, China, 86 15696628112.ORCID http://orcid.org/0009-0003-1410-0731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tetanus is a severe but vaccine-preventable neurological disease that remains a public health concern, especially in resource-limited settings. As social media becomes an important source of health information, concerns persist regarding the quality and reliability of tetanus-related content online. Objective: This study aimed to evaluate the quality, reliability, and thematic characteristics of tetanus-related videos on YouTube and TikTok and to examine the relationship between engagement metrics and information quality. Methods: A cross-sectional study was conducted using tetanus-related videos retrieved from YouTube and TikTok on August 1, 2025. The top 100 eligible videos from each platform were included (n=200). Video quality was assessed using the Global Quality Scale, whereas reliability and transparency were evaluated using the modified DISCERN tool and the Journal of the American Medical Association benchmark criteria. A thematic content analysis based on predefined coding categories was also performed. Video characteristics, source types, and engagement metrics were also collected. Spearman correlation analysis was used to examine associations between engagement indicators and quality scores. Results: YouTube videos showed significantly higher quality and reliability than TikTok videos, with higher median Global Quality Scale, modified DISCERN, and Journal of the American Medical Association scores (all P<.001). Compared with TikTok, YouTube videos more frequently discussed symptoms (92% vs 81%, P=.02), prevention (95% vs 78%, P<.001), treatment (88% vs 70%, P=.002), and wound management (77% vs 38%, P<.001). Lower-quality videos commonly contained incomplete prevention information, vague symptom descriptions, and limited source attribution. Videos produced by official medical organizations and professional health care creators generally achieved higher quality scores. Although engagement indicators were strongly correlated with each other, their associations with informational quality were relatively limited. Conclusions: YouTube provided more comprehensive and reliable tetanus-related information than TikTok, although content quality on both platforms remained inconsistent. Greater involvement from health care professionals and clearer evidence-based communication may help improve the quality of health information shared on social media platforms.

Indexed as

Consumer Health InformationPublic HealthSocial MediaTetanusVideo RecordingCross-Sectional StudiesDigital MediaHumansInformation DisseminationReproducibility of Resultscontent analysishealth communicationinfodemiologyreliabilitysocial mediatetanusTikTokvideo qualityYouTube

Identifiers

PMID42340855
PMCPMC13292983

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.