YouTube videos as a source of information concerning Behçet's disease: a reliability and quality analysis.

Abstract

In this study, we aimed to investigate the reliability and quality of YouTube videos concerning Behçet disease, for the first time in the literature. The most viewed 50 YouTube videos about Behçet disease were included. Study data used in the analysis included video length, image type, video content, uploaders, time since the date of upload, the number of total views, daily views, and the numbers of like, dislike and comments. The Video Power Index was used to determine popularity of the videos. Reliability and quality of the videos were evaluated using DISCERN and Global Quality Scale (GQS) instruments. The examined YouTube videos were divided into two groups as uploaded by professionals (physicians, health and hospital channels, institutions and societies) and non-professionals (patients, social organizations, others). Twenty-three (46%) videos were uploaded by professionals. The mean DISCERN score was found as 3.98 ± 0.77 in the videos uploaded by healthcare professionals and 2.83 ± 0.64 in those uploaded by non-professionals (p < 0.01). The mean GQS score was found as 4.09 ± 0.72 in the videos uploaded by healthcare professionals and 3.41 ± 0.69 in those uploaded by non-professionals (p < 0.01). 46% of the videos were of low-to-moderate reliability and 56% of low-to-moderate quality. Nearly half of the YouTube videos concerning Behçet disease were uploaded by non-physician sources with poor reliability and quality. Physicians should be encouraged to upload more professional videos to help and guide patients appropriately. YouTube videos should be subjected to an objective evaluation for content quality before they can be published.