ArticleDigital health
Physician-dominated yet suboptimal: Evaluating the quality of Meniere's disease information on TikTok in China.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Despite being a prevalent peripheral vestibular disorder in China, Meniere's disease (MD) suffers from low awareness, frequent misdiagnosis, and unsatisfactory treatment rates. As TikTok has become a prominent source of health information, no study has systematically evaluated the quality of its MD-related content. We therefore assessed the accuracy and reliability of MD videos on Chinese TikTok. Methods: Top 100 videos for "Meniere's disease/syndrome" (TikTok, 1 May 2025) were analyzed. Quality was assessed using Video Information and Quality Index (VIQI), Global Quality Score (GQS), modified DISCERN (mDISCERN), and Patient Education Materials Assessment Tool for Audio-Visual Content (PEMAT-A/V). Descriptive statistics, correlation analyses, and predictive modeling were applied to 83 valid videos. Results: Among 83 videos, 91.6% (n = 76) were physician-uploaded (primarily otolaryngologists/neurologists). Monologue, Q&A, and medical scenario formats showed superior quality. Symptoms dominated content (47%). Neurologists generated significantly higher normalized engagement per second than otolaryngologists (all adj. p < 0.05, r ＞ 0.35). Physicians outperformed news agencies in GQS scores (adj. p < 0.05, r = 0.291). Otolaryngologists scored higher than both neurologists and Traditional Chinese Medicine practitioners in PEMAT-A/V Understandability (all adj. p < 0.05, r > 0.37). Attending physicians exceeded chief physicians on all quality metrics (all adj. p < 0.05, r ＞ 0.35), an advantage potentially linked to their younger age, greater digital literacy, and more frequent social media use. Engagement metrics (likes, comments, favorites, shares) correlated strongly (r > 0.8). Predictive models for PEMAT-U/A were significant (p < 0.001), lacking multicollinearity/autocorrelation. Conclusion: Physician-created MD content ensures credibility but requires quality improvement. PEMAT-U/A models guide enhancements, though broader application needs validation. Key health informatics priorities include certified creator engagement, algorithm optimization, and innovative content design.
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