Social Media Videos on Contraceptive Implants: An Assessment of Video Quality and Reliability.

STUDY OBJECTIVE: There are many videos on contraception on YouTube and TikTok, and women around the world use video platforms extensively to seek health information from videos of uncertain reliability and quality. The main objective of this research was to evaluate the scientific reliability and quality of the most popular social media videos about contraceptive subdermal implants. METHODS: TikTok and YouTube videos were assessed separately by two gynecologists. The video quality was evaluated according to the DISCERN score, modified DISCERN score, and Global Quality Scale (GQS) score. RESULTS: The study included the 100 most popular videos, 44 of which were uploaded by health care professionals. The median DISCERN score for videos shared by health care professionals was 50 (range 15-75), whereas it was 22 (range 15-56) for videos shared by independent users (P < .001). The median modified DISCERN score was 4 (min-max 0-5), and the median GQS score was 4 (min-max 1-5) for the videos uploaded by health care professionals. The modified DISCERN and GQS scores of TikTok videos were lower than those of YouTube videos (both P < .001). CONCLUSION: Social media videos about contraceptive subdermal implants are popular and have been viewed tens of thousands of times, but the overall medical validity, which we evaluated according to the scoring systems, was poor. Despite the large number of videos, the content's quality and reliability are quite limited. There is a need to prioritize the education provided to patients by gynecologists, as well as to create high-quality content for YouTube and other similar platforms.

Appropriateness of premature ovarian insufficiency recommendations provided by ChatGPT.

OBJECTIVE: This study aimed to evaluate the appropriateness of ChatGPT's responses to frequently asked queries regarding the prevention and treatment of premature ovarian insufficiency (POI). METHODS: A set of 25 questions covering topics related to disease risk factors, screening, symptoms, treatment, and treatment adverse effects were posed to ChatGPT, and the responses were evaluated by two experienced obstetrician/gynecologists. RESULTS: Of the responses given by ChatGPT, 19 of 25 (76%) were deemed appropriate, five (20%) were rated as inappropriate, and the remaining one (4%) was considered unreliable. There was no question that ChatGPT answered completely incorrectly; answers that were considered inappropriate included partially correct information. CONCLUSIONS: The study's findings suggest that ChatGPT provides patients with mostly accurate information about the POI but might present significantly inaccurate information. However, it is important to note that further research is needed to validate the use of artificial intelligence chatbots in the context of reproductive health, especially for individuals who may be highly impacted by the emotional and psychological effects of POI. In addition, given the complexity and individuality of medical care, AI chatbots should not be considered a replacement for medical professionals but rather a supplementary tool that can help patients access reliable information and support. Overall, this study contributes to the growing body of research on AI chatbots and their potential use in reproductive health, highlighting both the benefits and limitations of these technologies.