Evaluation of the Reliability, Utility, and Quality of the Lid Loading Videos on YouTube
preprint
OA: closed
Abstract
Purpose: It is aimed to determine the utility, reliability and quality of the lid loading videos on YouTube, a video sharing platform. Methods: : A YouTube searches were made with the keywords 'Eyelid Loading', 'Gold Weight Implantation', 'Lid Loading for Lagophthalmos' (without user login, cleared search history, in incognito tab). A total of 75 videos were recorded. Length of videos (seconds), number of views, uploaded source (doctor/health institution/medical channel), number of subscribers, number of likes, time since uploading (days), video content (surgical/theoretical information), type of narration (verbal narration/subtitle) recorded. DISCERN, The Journal of the American Medical Association (JAMA), and Global Quality scores of the videos were evaluated and recorded by two experienced oculoplastic surgeons (KSC, HT). Results: : After the exclusion criteria, the remaining 46 videos were included in the study. The mean DISCERN score was 25.17 ± 6.88 (very poor quality), the JAMA score was 0.79 0.63 (very poor quality), GQS was 2.84 ±1.03 (medium quality). Thirty videos (65.2%) had verbal narration and 16 videos (34.8%) had subtitled narration. The DISCERN score and GQS were significantly higher in the videos with verbal narration compared to the narration with subtitles (p<0.05). All 3 scores were positively correlated with each other. There was also a positive correlation between video length, number of subscribers, and DISCERN score. Conclusions: : The videos about lid loading on YouTube are of poor reliability, accuracy, and educational quality. The duration of the video and the type of narration can be kept in the foreground when choosing the video. Experts must review the content that is uploaded to websites like YouTube.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00