The Department of Surgery, Division of Plastic Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA.
The Department of Surgery, Division of Plastic Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA.
J Plast Reconstr Aesthet Surg. 2023 Sep;84:214-222. doi: 10.1016/j.bjps.2023.05.038. Epub 2023 May 19.
Social media platforms are popular sources of medical information but may harbor harmful misinformation. This study aims to evaluate the effect of TikTok on the transgender population, which may be more likely to seek information from non-traditional sources because of high medical mistrust.
Twenty gender affirmation related hashtags were queried, with the top 25 videos per hashtag included for analysis. Videos were categorized based on the content and creator. Variables included likes, comments, shares, and video views. All "educational" videos were analyzed for reliability of information using a modified DISCERN (mDISCERN) score and the Patient Education Materials Assessment Tool (PMAT). Kruskal-Wallis H tests, Mann-Whitney U tests, and simple linear regression models were used in analysis.
A total of 429 videos amassed 571,434,231 views, 108,050,498 likes, 2,151,572 comments, and 190,9744 shares. Patients were the majority of content creators (74.88%), with patient experiences being the majority of videos (36.07%). Non-physician creators had significantly higher likes and comments when compared to physicians (6185 vs. 1645, p = 0.028; 108 vs. 47, p = 0.016 respectively). Sixty "educational" videos were included in information reliability analysis. There were no significant differences between video characteristics of different content creators, even after stratifying according to physician status. Significant differences were observed in the reliability of information according to PMAT and mDISCERN scores, with physician created videos being significantly higher rated than non-physician created videos (0.90 vs. 0.84, p < 0.001; 3 vs. 2, p < 0.001, respectively).
Lower quality information is associated with non-physician content creators. We encourage physicians to be continuously involved in creating quality information on TikTok.
社交媒体平台是获取医学信息的热门来源，但可能存在有害的错误信息。本研究旨在评估 TikTok 对跨性别群体的影响，由于对医疗服务的高度不信任，他们可能更倾向于从非传统来源获取信息。
查询了 20 个与性别确认相关的话题标签，每个话题标签中包含前 25 个视频进行分析。根据内容和创作者对视频进行分类。变量包括点赞、评论、分享和视频浏览量。所有“教育”类视频均使用改良的 DISCERN（mDISCERN）评分和患者教育材料评估工具（PMAT）对信息的可靠性进行分析。分析中使用了 Kruskal-Wallis H 检验、Mann-Whitney U 检验和简单线性回归模型。
共收集到 429 个视频，总浏览量为 571,434,231 次，点赞数为 108,050,498 次，评论数为 2,151,572 次，分享数为 190,9744 次。患者是内容创作者的主体（74.88%），患者体验是视频的主要内容（36.07%）。与医生相比，非医生创作者的点赞数和评论数明显更高（6185 比 1645，p=0.028；108 比 47，p=0.016）。纳入信息可靠性分析的“教育”类视频共有 60 个。即使根据医生身份进行分层，不同内容创作者的视频特征也没有显著差异。根据 PMAT 和 mDISCERN 评分，信息的可靠性存在显著差异，医生制作的视频评分明显高于非医生制作的视频（0.90 比 0.84，p<0.001；3 比 2，p<0.001）。
低质量信息与非医生内容创作者有关。我们鼓励医生持续参与在 TikTok 上创作高质量信息。
