World Neurosurgery: X (Jan 2023)

#Neurosurgery: A Cross-Sectional Analysis of Neurosurgical Content on TikTok

  • Joshua D. McBriar,
  • Akash Mishra,
  • Harshal A. Shah,
  • John A. Boockvar,
  • David J. Langer,
  • Randy S. D'Amico

Journal volume & issue
Vol. 17
p. 100137

Abstract

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Objectives: TikTok is a social media platform that has gained popularity and become a powerful engine to disseminate public health and medical information. To date, no study has characterized the qualities of popular TikTok videos related to neurosurgery, or assessed biases in the content of these videos. Methods: The TikTok web browser application was queried using “#neurosurgery” to identify neurosurgery-related videos. The top 100 videos meeting inclusion criteria were analyzed and video characteristics determined. Bias was assessed by the DISCERN scoring system using 3 independent reviewers. A Kruskal–Wallis H test was used to correlate video popularity with video characteristics and to correlate bias with creator and video type. Results: The 100 videos evaluated totaled 8.8 million likes, 104,718 comments, and 100,856 shares. The oldest video was posted February 2020 and the most recent March 2022. Videos were most commonly entertaining (n = 64, 64%), and educational (n = 46, 46%). Video popularity was associated with videos that aimed to entertain, and least associated with videos depicting neurosurgery lifestyle. Low DISCERN scores, indicating more biased content, were seen across the neurosurgical content with the entertaining video category demonstrating the highest bias. Conclusions: Neurosurgical content on TikTok contains a high degree of bias across all creator and video types. Entertaining videos are associated with the highest numbers of likes but also the greatest bias. These data may be used to guide institutions and neurosurgeons to grow interest in the field of neurosurgery and disseminate unbiased information while expanding their social media presence.

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