Abstract Objective Pregnant people are increasingly utilizing TikTok to understand medical information. However, the accuracy and reliability of this content remain largely unexamined. This study aimed to evaluate videos on prenatal aneuploidy testing by engagement, reliability, and quality, comparing results by content category and account type. Study design Researchers conducted TikTok searches (May–July 2025) using 11 sets of keywords. The first 100 videos for each search were collected and screened with inclusion and exclusion criteria. Videos were manually categorized based on content type and account type (i.e., healthcare professionals, laypeople, or other). Objective data collected directly from TikTok included video length and engagement metrics (views, likes, and comments). Two independent reviewers used the modified DISCERN (mDISCERN) criteria to assess reliability and the Global Quality Scale (GQS) to assess quality. Engagement metrics, mDISCERN, and GQS were compared across video category and account type using Wilcoxon rank‐sum test. Results A total of 1100 videos were identified, and 541 videos met the inclusion criteria for full review. A total of 69.9% ( n = 378) of the videos were posted by laypeople and 23.8% ( n = 129) of the videos were posted by healthcare professionals. Videos posted by healthcare professionals had a significantly higher mDISCERN (median 8, interquartile range IQR 7–9) and GQS (median 3.5, IQR 3–4) compared to videos posted by laypeople (mDISCERN = 3, IQR 2–4; GQS = 2, IQR 1.5–2.5), but significantly fewer median views (28,900 vs. 32,150, respectively), p < 0.01. Fearmongering and crowdsourcing videos (posted mainly by laypeople) were among the highest engagement categories, but had low mDISCERN and GQS scores. Conclusion TikTok provides unreliable and low‐quality medical information on aneuploidy testing in pregnancy. Healthcare professionals’ videos are higher in quality and reliability but have lower views than those by laypeople. These findings highlight the need for strategies to improve the reach of accurate, evidence‐based prenatal information on social media platforms.
Houlihan et al. (Fri,) studied this question.
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