可靠性(半导体)
质量(理念)
社会化媒体
计算机科学
中国
视频质量
公共卫生
心理学
数据可靠性
质量得分
应用心理学
内容分析
录像
梅德林
描述性研究
多媒体
远程医疗
感知质量
医学
质量管理
互联网隐私
作者
Yanli Guo,Ziyi Ma,Jingyuan Xue,Xiaowei Zhou,Ling Wang,Ci Dong
标识
DOI:10.1097/cin.0000000000001380
摘要
This descriptive cross-sectional study investigated the content, quality, and reliability of migraine-related videos on TikTok. The top 200 migraine-related TikTok videos (176 eligible) were analyzed to assess content quality and reliability using Goobie's 6 questions and the DISCERN questionnaire. Although 98.8% (174/176) of the videos were physician-uploaded, 58.5% lacked disease definitions, and 34.7% omitted outcomes. While physician-uploaded videos had higher DISCERN scores, 36.93% still received a "poor" rating, and no correlation was found between video quality and engagement metrics (likes, shares) or duration. Despite TikTok's potential for health education, migraine-related content remains inconsistent and biased, highlighting the need for improved, evidence-based public health messaging on social media platforms. This study investigates the quality and reliability of migraine-related TikTok videos and identifies the issues, aiming to promote the improvement of migraine science video quality in the future.
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