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评估YouTube上关于粘连性肩关节囊炎视频的质量。

Assessing the Quality of YouTube Videos on Adhesive Capsulitis.

作者信息

Tang Kevin, Azhar Umair, Babar Mustufa, Ahmed Atif, Oh Aaron, Day Wesley, Harb Hussein, Chan Ferdinand J

机构信息

Department of Orthopaedic Surgery, Albert Einstein College of Medicine, The Bronx, USA.

Radiology, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Davie, USA.

出版信息

Cureus. 2022 Jul 28;14(7):e27406. doi: 10.7759/cureus.27406. eCollection 2022 Jul.

Abstract

Introduction  YouTube is the most popular video-based source of information on the Internet. It is accessed by over 1 billion users, which approximates to almost one-third of all Internet users. Orthopaedic video content published on YouTube is not screened and does not go through an editorial process, and most videos do not have information about authorship or appropriate references. Users who do not have the knowledge to assess the accuracy and reliability of the source may be misinformed about their medical condition. Previous studies have evaluated the quality of YouTube content for information in orthopaedics such as meniscus,kyphosis, and anterior cruciate ligament (ACL), but the quality of frozen shoulder videos on YouTube has not been investigated. The purpose of this study is to evaluate the quality and educational value of YouTube videos concerning adhesive capsulitis. Methods A YouTube search was performed using the term "frozen shoulder." Videos were excluded if they had no audio, were in a language other than English, or were longer than 10 minutes. A total of 70 videos were screened, and the first 50 videos that met the inclusion criteria were evaluated by three observers. Six video characteristics were extracted, and videos were categorized by source and content. Quality and educational value were assessed using the DISCERN (score range, 0-5), Global Quality score (GQS; score range, 0-4), and a Frozen Shoulder-Specific Score (FSSS; score range, 0-16). Results  The mean video duration was 242.46 ± 164.32 seconds. The mean number of views was 137,494 ± 262,756 and the total view count across 50 videos was 6,874,706. The mean DISCERN, GQS, and FSSS scores were 2.72 ± 0.85, 2.37 ± 0.895, and 4.42 ± 3.15, respectively. The video sources were primarily from non-physician healthcare professionals (32%), and most of the video content was focused on disease-specific information (50%). Significant between-group effects were observed for the DISCERN score and video source (P = .005), with videos from academic sources having the highest mean DISCERN score. DISCERN scores also differed significantly based on video content (P = .007), with disease content having the highest DISCERN score. Both GQS and FSSS scores differed significantly based on video content (both P < .001) but did not differ significantly based on the video source. Conclusions Information about frozen shoulder on YouTube is low quality and has limited educational value. Thus, providers for orthopaedic conditions should warn their patients and provide better alternatives for education.

摘要

引言

YouTube是互联网上最受欢迎的基于视频的信息来源。超过10亿用户可以访问它,这几乎占到了所有互联网用户的三分之一。在YouTube上发布的骨科视频内容未经筛选,也没有经过编辑流程,而且大多数视频没有关于作者身份或适当参考文献的信息。那些没有能力评估信息来源准确性和可靠性的用户可能会在其病情方面得到错误信息。先前的研究已经评估了YouTube上关于半月板、脊柱后凸和前交叉韧带(ACL)等骨科信息内容的质量,但YouTube上肩周炎视频的质量尚未得到研究。本研究的目的是评估YouTube上有关粘连性关节囊炎视频的质量和教育价值。

方法

使用“肩周炎”一词在YouTube上进行搜索。如果视频没有音频、不是英语或时长超过10分钟,则将其排除。总共筛选了70个视频,由三名观察者对符合纳入标准的前50个视频进行评估。提取了六个视频特征,并按来源和内容对视频进行分类。使用DISCERN(评分范围为0 - 5)、全球质量评分(GQS;评分范围为0 - 4)和肩周炎特定评分(FSSS;评分范围为0 - 16)来评估质量和教育价值。

结果

视频的平均时长为242.46 ± 164.32秒。平均观看次数为137,494 ± 262,756次,50个视频的总观看次数为6,874,706次。DISCERN、GQS和FSSS的平均得分分别为2.72 ± 0.85、2.37 ± 0.895和4.42 ± 3.15。视频来源主要是非医生医疗专业人员(32%),并且大多数视频内容集中在疾病特定信息(50%)上。观察到DISCERN评分和视频来源之间存在显著的组间效应(P = 0.005),学术来源的视频DISCERN平均得分最高。DISCERN评分也因视频内容而有显著差异(P = 0.007),疾病内容的视频DISCERN得分最高。GQS和FSSS评分均因视频内容而有显著差异(两者P < 0.001),但因视频来源没有显著差异。

结论

YouTube上有关肩周炎的信息质量较低且教育价值有限。因此,骨科疾病的医疗服务提供者应该警告他们的患者,并提供更好的教育替代方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1d/9419844/305d98291033/cureus-0014-00000027406-i01.jpg

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