Work

Quality and reliability of short videos about type A aortic dissection on Bilibili and TikTok: a cross-sectional study

Year: 2026

Type: article

Abstract: Background: Type A aortic dissection (TAAD) is a life-threatening cardiovascular emergency. Short-video platforms such as TikTok and Bilibili have become important channels for health information dissemination, but the quality and reliability of TAAD-related videos remain unclear. Objective: This study aimed to evaluate the quality and reliability of TAAD-related short videos on TikTok and Bilibili, with particular attention to platform differences and uploader characteristics. Methods: The top 250 videos ranked by comprehensive ranking on each platform were screened using the Chinese keyword "A." A total of 391 eligible videos were included. Uploaders were classified as medical practitioners, individual users, or institutions. Video quality and reliability were assessed using the Global Quality Score (GQS), modified DISCERN (mDISCERN), JAMA benchmarks, and Video Information Quality Instrument (VIQI). Multivariable regression analyses were performed to identify factors independently associated with video quality. Results: TikTok videos showed higher engagement, whereas Bilibili videos were longer and provided broader coverage of epidemiology, etiology, and clinical presentation-related content. TikTok remained independently associated with higher VIQI scores after adjustment. Medical practitioners and institutions generally achieved higher VIQI and JAMA scores than individual users, and content coverage score was independently associated with higher video quality. However, mDISCERN scores did not differ significantly among uploader types. Conclusion: TAAD-related short videos demonstrated moderate overall quality but limited reliability. Platform characteristics, uploader type, and content coverage were associated with assessed information quality. Professional participation may improve some aspects of health communication, but uploader identity alone does not ensure higher reliability or transparency.

Source: Frontiers in Digital Health

DOI: 10.3389/fdgth.2026.1964412