Evaluation of the Quality and Reliability of YouTube Videos on Polymyalgia Rheumatica

Author:

YETİŞİR Ayşegül1ORCID,SARIYILDIZ Aylin2ORCID

Affiliation:

1. Çukurova Üniversitesi, Tıp Fakültesi, Fiziksel Tıp ve Rehabilitasyon Anabilim Dalı, Romatoloji Bilim Dalı

2. Çukurova Üniversitesi, Tıp Fakültesi, Fiziksel Tıp ve Rehabilitasyon Anabilim Dalı

Abstract

To investigate polymyalgia rheumatica (PMR)-related YouTube videos’ quality and reliability. We searched the term “polymyalgia rheumatica” on https://www.youtube.com. The most viewed 60 YouTube videos about PMR were analyzed by two independent physiatrists. Study data used in the analysis included upload date, total views, number of likes and comments, length of video, contents of video, source of the uploader, and targeted population. The Global Quality Scale (GQS) and the Modified DISCERN tool were used to assess PMR-related video quality and reliability, respectively. Comparative analyses of video features, quality, and reliability were performed based on source of uploaders (professional and non-professional) and GQS score subgroups. Of the videos analyzed, 76.7% and 61.7% of the uploaded videos were related to symptoms and treatment, respectively, and 65% of the videos were uploaded by healthcare professionals. The median GQS and modified DISCERN tool scores were 3 in professionals and 2 in non-professionals (p< 0.001 and p = 0.001, respectively). According to the GQS score, there was no significant difference in terms of total views, number of likes, number of comments, and view ratio values between low, moderate, and high quality videos. 35% of the YouTube videos concerning PMR were uploaded by non-professionals with poor reliability and quality. Therefore, healthcare professionals need to produce videos that provide more accurate and high quality information about PMR on this platform. Before being published, YouTube videos should be evaluated objectively for the accurity of their content.

Publisher

Osmangazi Journal of Medicine

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