AI Summary & Key Takeaways
AI InsightWe have emphasized the importance of improving the content and quality of the videos so that patients can access more beneficial information.
📌 3 Key Takeaways
Abstract
Aims: In this study, we aimed to evaluate the quality and reliability of the first 50 videos on YouTube, which is a reliable source for sharing medical information, about tarsal tunnel syndrome (TTS), which is difficult to diagnose with low prevalence and which prompts patients to look for information. Methods: To evaluate the first 50 TTS videos on YouTube, the source, upload date, number of views, and like-dislike parameters were selected for analysis. The content was assessed following the Journal of the American Medical Association (JAMA) criteria, the Global Quality Score (GQS), and the DISCERN scale. Results: In the parameters used in the quality and relevance analysis of the videos, the GQS mean score was 3.70, the JAMA mean score was 1.12, and the DISCERN mean score was 45.82. There was no significant relation between the number of views, the days since the video was uploaded to the internet until the review, the number of likes and dislikes, the like rates, the video power index, JAMA, DISCERN, and GQS. There was a positive correlation between GQS, JAMA, and DISCERN. Conclusion: This study revealed that the quality, content, and reliability of available videos in the tarsal tunnel are moderate. We have emphasized the importance of improving the content and quality of the videos so that patients can access more beneficial information.