TikTok as a platform for hysteroscopy information: An analytical video‐based cross‐sectional study to assess quality, reliability, and accuracy
Salvatore Giovanni Vitale,
Stefano Angioni,
Stefania Saponara
et al.
Abstract:ObjectiveTo assess the quality, reliability, and level of misinformation in TikTok videos about hysteroscopy.MethodsA cross‐sectional analysis of TikTok videos retrieved using “hysteroscopy” as search term was performed. Patient education materials assessment tool for audio‐visual content (PEMAT A/V), the modified DISCERN (mDISCERN), global quality scale (GQS), video information and quality index (VIQI) and misinformation assessment were used.ResultsOf three hundred videos captured, 156 were excluded and 144 w… Show more
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