Objective Myocardial infarction (MI) is one of the leading causes of death and disability worldwide. Short-video platforms play an increasingly important role in disseminating health information; however, the quality and reliability of MI-related short videos remain unclear. Methods Using “myocardial infarction” as the keyword, we analyzed 228 MI-related videos from TikTok and Bilibili. After extracting basic characteristics, we evaluated video quality, reliability, and transparency using the Global Quality Score (GQS), modified DISCERN (mDISCERN), JAMA benchmark, and the Video Information and Quality Index (VIQI). Nonparametric statistics were used for group comparisons, and Spearman's rank correlation was applied to assess associations between engagement metrics and quality scores. Results Video content primarily addressed clinical presentation, etiology, and treatment, with relatively little on epidemiology and prevention. Topic distribution was as follows: clinical presentation (22.06%), etiology (22.71%), treatment (19.93%), diagnosis (16.01%), prevention (15.03%), and epidemiology (4.25%). Overall video quality was moderate: GQS 3.0 (IQR: 2–3), mDISCERN 2.0 (IQR: 2–3), JAMA 2.0 (IQR: 2–3), and VIQI 11.0 (IQR: 10–13). Videos uploaded by cardiologists received the highest quality scores ( p < .05). No significant correlations were observed between engagement metrics and quality scores. Conclusions MI-related short videos on TikTok and Bilibili demonstrate moderate overall quality with incomplete content coverage. Future efforts should encourage greater participation of cardiologists in health communication, enhance inclusion of epidemiology and prevention content, and support platforms in developing quality accreditation systems and optimizing recommendation algorithms to improve the scientific accuracy, transparency, and communicative value of health information.
Building similarity graph...
Analyzing shared references across papers
Loading...
Tao et al. (Sun,) studied this question.
www.synapsesocial.com/papers/69c37ba2b34aaaeb1a67e415 — DOI: https://doi.org/10.1177/20552076261420887
Juan Tao
Yiming Lin
Kaidi Zhao
Digital Health
Northwest University
Second Affiliated Hospital of Xi'an Jiaotong University
Shandong University of Traditional Chinese Medicine
Building similarity graph...
Analyzing shared references across papers
Loading...