Quality and reliability of femoral neck fracture educational short videos: a cross-sectional study
Abstract
Background: Femoral neck fracture (FNF) patients increasingly use short-video platforms (TikTok, Bilibili) for education, but content quality and reliability are underexplored. Objective: To systematically evaluate FNF-related educational short videos on TikTok and Bilibili, and explore associations between video characteristics, user engagement, and quality scores. Methods: This cross-sectional study analyzed 166 top-ranked videos (accessed in May 2025 as guest users) using modified DISCERN, Global Quality Score (GQS), the newly developed Femoral Neck Fracture-Specific Clinical Comprehensiveness Score (FNF-SCCS), and Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT-A/V). Videos were categorized by uploader type and content theme; non-parametric statistics, Cohen’s kappa, and Intraclass Correlation Coefficient (ICC) assessed associations and inter-rater reliability. Results: Professionals created 59.04% of content, non-professionals 25.9%. Bilibili videos were longer (162s vs. 59s, P < 0.05) and higher-quality (GQS ≥ 4: 43.7% vs. 12.6%; DISCERN ≥ 4: 40.9% vs. 23.2%, P < 0.05). Disease knowledge and rehabilitation training videos scored highest (DISCERN = 4, GQS = 4), personal experiences lowest (DISCERN = 2, GQS = 2). FNF-SCCS (ICC = 0.91) and PEMAT-A/V (ICC = 0.89) showed excellent inter-rater reliability; professional institutions/individuals outperformed non-professionals in FNF-SCCS and PEMAT understandability (Median = 75.0% vs. 58.3%, P < 0.001), while overall actionability was low except for rehabilitation training videos (Median = 100.0%). Engagement weakly correlated with quality ( r =-0.21–0.08); Cohen’s kappa = 0.806–0.839. Conclusions: FNF-related content on TikTok and Bilibili exhibits suboptimal quality, with professional sources outperforming non-professional ones. Critical gaps exist in guideline adherence and actionable instructions. Platforms and healthcare professionals should optimize medical content dissemination.
Article Details
Authors (5)
Jiakuan Tu
Shuihua Xie
Jiaxin Zheng
Zhe Lin
State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences
Wang Ren