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Evaluation of Scientific Quality of YouTube Video Content Related to Umbilical Hernia

机译:与脐疝相关的YouTube视频内容的科学素质评估

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Objective: Patients with umbilical hernias frequently refer to the YouTube videos to learn and perhaps apply traditional treatment methods. It is very difficult for these users to distinguish these videos as useful or harmful. In this study, we aimed to evaluate the scientific quality of YouTube video content on umbilical hernia. Methods: A total of 50 videos on YouTube pertaining to umbilical hernia were included in the study. All videos were evaluated by two experienced general surgeons. The uploader, video content, length, upload date, time since upload, number of views, numbers of comments, likes, and dislikes and Video Power Index (VPI) rates videos were recorded and evaluated. The videos were scored using the Quality Criteria for Consumer Health Information (DISCERN) and Global Quality Scale (GQS). Results: A total of 9,836 comments were made to the videos, 118,478 likes were made, and 15,009 dislikes were made. The mean DISCERN score given to the videos by the researchers was 2.57 ± 1.82 (min-max: 1-5) and the average GQS score was 2.62 ± 1.86.?A statistically significant difference was found in terms of both DISCERN and GQS scores of videos uploaded by doctors compared to videos uploaded by nondoctors (p 0.001). A statistically significant level of good agreement was found among investigators in terms of both DISCERN (p 0.001, r = 0.778) and GQS (p 0.001, r = 0.807) scores. Conclusion: Videos with health content should definitely be uploaded by experts. Studies investigating the scientific quality of health videos uploaded on YouTube and similar platforms should be carried out continuously.
机译:目的:脐疝的患者常常指的是YouTube视频学习,也许是应用传统治疗方法。这些用户非常困难,将这些视频区分开是有用或有害的。在这项研究中,我们旨在评估脐疝youtube视频内容的科学素质。方法:在研究中纳入了有关脐疝的YouTube上共有50个视频。所有视频都被两位经验丰富的普通外科医生评估。上传者,视频内容,长度,上传日期,自上传以来的时间,录制和评估了录制了次数,评论,评论,喜欢和不喜欢视频和视频电源指数(VPI)率录像。使用消费者健康信息(辨别)和全球质量规模(GQS)的质量标准进行评分。结果:对视频进行了9,836条评论,提出了118,478人,并制定了15,009次不喜欢。研究人员给视频的平均辨别得分为2.57±1.82(最小最大:1-5),平均GQS得分为2.62±1.86.在辨别和GQS分数方面都发现了统计上显着的差异与Nondoctors上传的视频相比,由医生上传的视频(P <0.001)。在辨别人员(P <0.001,R = 0.778)和GQS(P <0.001,R = 0.807)分数方面,研究人员中发现了统计学上显着的良好协议。结论:卫生内容的视频肯定应该由专家上传。应持续调查上传youtube上传的健康视频的科学质量和类似平台的研究。

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