Quality and Reliability Analysis of YouTube as a Source of Patient Information on de Quervain's Tenosynovitis

Author:

Kim Jason H.1,Hoy John F.1ORCID,Shuman Samuel L.1,Ahmad Farhan1,Simcock Xavier C.1

Affiliation:

1. Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois

Abstract

Abstract Purpose This study seeks to evaluate the quality and reliability of information regarding de Quervain's tenosynovitis on YouTube. Methods A search on the YouTube was performed using the keywords de Quervain's tenosynovitis, and the first 50 videos were evaluated. Video characteristics including views, content type, and video upload source were recorded. Video reliability was assessed using the Journal of the American Medical Association (JAMA) benchmark criteria. Video quality was assessed using the Global Quality Score (GQS) and a novel de Quervain's Tenosynovitis-Specific Score (DQT-SS). Results The total number of views for all videos evaluated was 5,508,498 (mean, 110,169.96 ± 155,667.07). Video reliability and quality metrics were low, with a mean JAMA score of 2.17 ± 0.82 out of 4, a mean GQS of 2.49 ± 1.28 out of 5, and a mean DQT-SS of 4.53 ± 2.35 out of 11. Significant between-group effects were found for the video source and DQT-SS (p = 0.027), as well as between content type and JAMA score (p = 0.027), GQS (p = 0.003), and DQT-SS (p = 0.003). Positive independent predictors of DQT-SS included video duration in seconds (β = 0.391) and disease-specific information content type (β = 0.648). Conclusion Videos on YouTube regarding de Quervain's tenosynovitis were frequently viewed; however, the information present was of low quality and reliability. Physician-uploaded videos had the highest mean JAMA scores, GQS, and DQT-SS, but had the second-lowest mean number of views of video sources. Patients should receive proper in-office education and be directed toward reputable resources for their orthopaedic conditions.

Publisher

Georg Thieme Verlag KG

Subject

Orthopedics and Sports Medicine,Surgery

Reference27 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3