METHODS: A YouTube search was performed using the keyword \'Graves eye disease\', \'thyroid eye disease\', \'thyroid orbitopathy\', \'thyroid ophtalmopathy\' in the search bar of YouTube. The first 50 videos were analyzed for each keywords, and the first 100 videos that came out were included in the study. The numbers of views, likes, dislikes, comments, daily viewing rate (number of views per day), uploaded source, country of origin, video type (patient experience, scholarly information), and described treatment technique were evaluated for all videos. They were also evaluated regarding their DISCERN, Journal of the American Medical Association (JAMA), global quality score (GQS) and usefulness score by two independent ophthalmologists.
RESULTS: Of the top 100 videos, 94 videos met the criteria. The mean DISCERN, JAMA, GQS and usefulness score were 55.27 ± 16.57, 3.04 ± 0.64, 3.44 ± 0.93 and 3.23 ± 1.1. If we look at the upload source 53 (56.4%) videos were uploaded by physicians, 30 (31.9%) videos by institutions/private health institutions, 7 (7.4%) videos by health channels, 4 (4.3%) videos by patients. All scoring systems showed a statistically significant and strong positive correlation with each other (p < 0.001). A statistically significant positive correlation between viewing rate, likes and comments was observed. As the duration of the video increased, a significant increase in the scores in other scores was observed.
CONCLUSIONS: We observed that the tests we used in the scoring were correlated with each other. Most of the thyroid orbitopathy videos on YouTube were of good quality. Ophthalmologists should guide their patients who want to get information on YouTube to watch videos uploaded by health care professionals.
方法:使用关键字\'Graves眼病\'进行了YouTube搜索,\'甲状腺眼病\',\'甲状腺眼眶病\',在YouTube的搜索栏中\''甲状腺眼病\'。对每个关键词的前50个视频进行了分析,前100个视频被纳入研究。视图的数量,喜欢,不喜欢,注释,每日观看率(每天观看次数),上传的源,原产国,视频类型(患者体验,学术信息),并对所有视频的治疗技术进行了评估。他们还被评估了关于他们的发现,美国医学会杂志(JAMA),两名独立眼科医生的全球质量评分(GQS)和有用性评分。
结果:在前100个视频中,94个视频符合标准。意思是否定的,JAMA,GQS和有用性评分分别为55.27±16.57、3.04±0.64、3.44±0.93和3.23±1.1。如果我们看看上传源53(56.4%)视频是由医生上传的,30(31.9%)个机构/私营卫生机构的视频,7(7.4%)健康频道的视频,4(4.3%)的患者视频。所有评分系统显示出彼此具有统计学意义和强的正相关性(p<0.001)。观看率之间存在统计学上显著的正相关,喜欢和评论被观察到。随着视频持续时间的增加,观察到其他评分的评分显著增加.
结论:我们观察到我们在评分中使用的测试相互关联。YouTube上的大多数甲状腺眼眶病视频质量很好。眼科医生应该指导想要在YouTube上获取信息的患者观看医疗保健专业人员上传的视频。