Assessing quality, reliability and accuracy of polycystic ovary syndrome‐related content on <scp>TikTok</scp>: A video‐based cross‐sectional analysis

PCOS-related videos on TikTok were mostly misinformative and of low quality and reliability. Healthcare professionals' videos were more informative with had higher quality compared to patient-created content. Identifying and addressing low-quality content is crucial for guiding future public health initiatives and improving the dissemination of trustworthy medical information on social networks.

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Publication Details

Journal
International Journal of Gynecology & Obstetrics
Published
2025-02-10
DOI
https://doi.org/10.1002/ijgo.70007
Citations
5
Primary Topic
Health Literacy and Information Accessibility
Type
article
Field-Weighted Citation Impact
14.08
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article

Assessing quality, reliability and accuracy of polycystic ovary syndrome‐related content on TikTok: A video‐based cross‐sectional analysis

Luigi Della Corte, Marco La Verde, Carlo Ronsini, Gaetano Riemma et al.
5 citations
International Journal of Gynecology & Obstetrics
Health Literacy and Information Accessibility
14.08
article

Assessing quality, reliability and accuracy of polycystic ovary syndrome‐related content on TikTok: A video‐based cross‐sectional analysis

Luigi Della Corte, Marco La Verde, Carlo Ronsini, Gaetano Riemma, Vittorio Unfer, Antonio Simone Laganà, Andrea Etrusco, Raffaela Carotenuto, Pasquale De Franciscis, Camilla Casolari
article en
5 citations

Abstract

PCOS-related videos on TikTok were mostly misinformative and of low quality and reliability. Healthcare professionals' videos were more informative with had higher quality compared to patient-created content. Identifying and addressing low-quality content is crucial for guiding future public health initiatives and improving the dissemination of trustworthy medical information on social networks.

International Journal of Gynecology & ObstetricsVol. 170(1)
University of Campania "Luigi Vanvitelli" (IT), Saint Camillus International University of Health and Medical Sciences (IT), University of Naples Federico II (IT), University of Palermo (IT)
Quality Education
Openalex Percentile: Top 1%
Health Literacy and Information Accessibility
14.08
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Assessing quality, reliability and accuracy of polycystic ovary syndrome‐related content on <scp>TikTok</scp>: A video‐based cross‐sectional analysis — Luigi Della Corte, Marco La Verde, et al. · International Journal of Gynecology & Obstetrics (2025) | TGRS Research Map | TGRS