Original data set used for the current study.
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Background
TikTok is an important channel for consumers to obtain and adopt health information. However, misinformation on TikTok could potentially impact public health. Currently, the quality of content related to GDM on TikTok has not been thoroughly reviewed.
Objective
This study aims to explore the information quality of GDM videos on TikTok.
Methods
A comprehensive cross-sectional study was conducted on TikTok videos related to GDM. The quality of the videos was assessed using three standardized evaluation tools: DISCERN, the Journal of the American Medical Association (JAMA) benchmarks, and the Global Quality Scale (GQS). The comprehensiveness of the content was evaluated through six questions covering definitions, signs/symptoms, risk factors, evaluation, management, and outcomes. Additionally, a correlational analysis was conducted between video quality and the characteristics of the uploaders and the videos themselves.
Results
A total of 216 videos were included in the final analysis, with 162 uploaded by health professionals, 40 by general users, and the remaining videos contributed by individual science communicators, for-profit organizations, and news agencies. The average DISCERN, JAMA, and GQS scores for all videos were 48.87, 1.86, and 2.06, respectively. The videos uploaded by health professionals scored the highest in DISCERN, while the videos uploaded by individual science communicators scored significantly higher in JAMA and GQS than those from other sources. Correlation analysis between video quality and video features showed DISCERN scores, JAMA scores and GQS scores were positively correlated with video duration (P<0.001). Content scores were positively correlated with the number of comments (P<0.05), the number of shares (P<0.001), and video duration (P<0.001).
Conclusion
We found that the quality of GDM video on TikTok is poor and lack of relevant information, highlighting the potential risks of using TikTok as a source of health information. Patients should pay attention to identifying health-related information on TikTok.
研究背景:TikTok是消费者获取并采纳健康信息的重要渠道。然而,平台上的健康错误信息可能对公众健康造成潜在威胁。目前,TikTok上与妊娠糖尿病(Gestational Diabetes Mellitus, GDM)相关的内容质量尚未得到全面评估。
研究目的:本研究旨在探究TikTok平台上GDM相关视频的信息质量。
研究方法:本研究针对TikTok平台上的GDM相关视频开展了一项全面的横断面研究。采用三项标准化评估工具对视频质量进行评分:DISCERN量表、《美国医学协会杂志》(Journal of the American Medical Association, JAMA)质量基准及全球质量量表(Global Quality Scale, GQS)。通过涵盖定义、体征/症状、危险因素、评估方法、管理方案及转归结局的6个问题,对内容的全面性进行评价。此外,本研究还对视频质量与上传者特征及视频自身属性之间的相关性进行了分析。
研究结果:最终纳入216条视频进行分析,其中162条由健康专业人士上传,40条由普通用户上传,剩余视频分别由个体科学传播者、营利性机构及新闻机构上传。所有视频的DISCERN评分、JAMA评分及GQS评分均值分别为48.87、1.86及2.06。健康专业人士上传的视频在DISCERN评分中得分最高,而个体科学传播者上传的视频在JAMA评分及GQS评分中显著高于其他来源的视频。视频质量与视频属性的相关性分析显示,DISCERN评分、JAMA评分及GQS评分均与视频时长呈正相关(P<0.001);内容评分则与评论数(P<0.05)、转发数(P<0.001)及视频时长(P<0.001)呈正相关。
研究结论:本研究发现,TikTok平台上GDM相关视频的质量欠佳且相关信息匮乏,凸显了将TikTok作为健康信息来源所存在的潜在风险。患者在使用TikTok获取健康信息时,应注意甄别相关内容的真实性与可靠性。
创建时间:
2025-02-06



