YouTube as a source of information on gout: a quality analysis

被引:0
作者
Mustafa Erkut Onder
Orhan Zengin
机构
[1] Aksaray University Training and Research Hospital,Department of Rheumatology
[2] Gaziantep Dr. Ersin Arslan Training and Research Hospital,Department of Rheumatology
来源
Rheumatology International | 2021年 / 41卷
关键词
YouTube; Gout; Internet; Social media; Quality;
D O I
暂无
中图分类号
学科分类号
摘要
YouTube is a popular video-sharing platform commonly visited by patients and healthcare professionals for medical information. Gout is the most frequent cause of inflammatory arthritis in adults. However, the accuracy and quality of gout-related information on YouTube are not fully known. Thus, the aim of this study was to assess the reliability and quality of YouTube videos pertaining to gout. A YouTube search was conducted using the keywords “gout”, “gout arthritis”, “gout treatment”, and “gout diet”. Of the 240 videos screened, 114 that met the inclusion criteria were included in the study. The number of days since upload, number of views, likes, dislikes, comments and duration of the videos were recorded. A Modified DISCERN tool and the Global Quality Scale (GQS) were used to evaluate the reliability and quality of the videos. Of the 114 analyzed videos, 87.72% were deemed as useful while 12.28% contained misleading information with higher viewership. The most common topic was “gout diet”. The majority of the videos demonstrated high quality (57.89%), followed by intermediate quality (28.95%) while the percentage of low-quality videos was 13.16%. Videos posted by academic institutions/professional organizations and physicians had higher modified DISCERN and GQS scores indicating higher reliability and quality. This study demonstrated that the majority of YouTube videos on gout provide useful information. However, physicians should be aware of the limited nature of YouTube and correct any misinformation during face-to-face meetings. YouTube should consider avoiding misleading videos using validity scales such as modified DISCERN and GQS.
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页码:1321 / 1328
页数:7
相关论文
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