Quality assessment of dry eye educational videos on Xiaohongshu and differences by uploader type

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Background Xiaohongshu has become an important platform for the public to obtain eye health information, but the quality and uploader-related differences of dry eye educational videos remain unclear. Methods In this cross-sectional study, Xiaohongshu’s “Video” section was searched on April 16, 2026, using the Chinese keyword “干眼” (dry eye). The first 200 videos generated by the default sorting algorithm were screened. After excluding duplicate, promotional, off-topic, and reposted content, 136 videos were included. As all eligible videos were uploaded by individual accounts, comparisons were performed between non-medical individual users and individual medical users. Video characteristics, content coverage, and engagement metrics were extracted, and video quality was assessed using DISCERN, PEMAT-A/V, and the Global Quality Score. Results Among the 136 included videos, 108 were uploaded by non-medical individual users and 28 by individual medical users. Video content was mainly concentrated on lifestyle recommendations (87.5%) and treatment or management strategies (62.5%), whereas topics such as definition, diagnosis, classification, and follow-up were less frequently covered. Compared with videos uploaded by individual medical users, those uploaded by non-medical individual users had a higher prevalence of incorrect or potentially misleading information (57.4% vs. 10.7%; OR = 11.23, 95% CI: 3.20–39.47). In addition, videos uploaded by individual medical users scored significantly higher than those from non-medical individual users in DISCERN total score, PEMAT understandability, PEMAT actionability, and GQS score, with all comparisons reaching statistical significance (all p < 0.001). Correlation analysis indicated that the number of covered content domains was positively associated with the DISCERN total score, GQS score, and PEMAT understandability. Conclusion Dry eye-related videos on Xiaohongshu varied substantially in quality and mainly emphasized lifestyle recommendations and treatment management, with limited coverage of systematic medical knowledge. In this cross-sectional sample, videos uploaded by individual medical users were associated with higher quality scores, broader content coverage, and a lower prevalence of incorrect or potentially misleading information than videos from non-medical individual users. These findings suggest the potential value of platform-level quality control, improved mechanisms for identifying and recommending professional content, and greater participation of ophthalmic healthcare professionals in standardized science communication.

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