Abstract
Abstract
Background
Many surgeons use online videos to learn. However, these videos vary in content, quality, and educational value. In the setting of recent work questioning the safety of robotic-assisted cholecystectomies, we aimed (1) to identify highly watched online videos of robotic-assisted cholecystectomies, (2) to determine whether these videos demonstrate suboptimal techniques, and (3) to compare videos based on platform.
Methods
Two authors searched YouTube and a members-only Facebook group to identify highly watched videos of robotic-assisted cholecystectomies. Three members of the Society of American Gastrointestinal and Endoscopic Surgeons Safe Cholecystectomy Task Force then reviewed videos in random order. These three members rated each video using Sanford and Strasberg’s six-point criteria for critical view of safety (CVS) scoring and the Parkland grading scale for cholecystitis. We performed regression to determine any association between Parkland grade and CVS score. We also compared scores between the YouTube and Facebook videos using a t test.
Results
We identified 50 videos of robotic-assisted cholecystectomies, including 25 from YouTube and 25 from Facebook. Of the 50 videos, six demonstrated a top-down approach. The remaining 44 videos received a mean of 2.4 of 6 points for the CVS score (SD = 1.8). Overall, 4 of the 50 videos (8%) received a passing CVS score of 5 or 6. Videos received a mean of 2.4 of 5 points for the Parkland grade (SD = 0.9). Videos on YouTube had lower CVS scores than videos on Facebook (1.9 vs. 2.8, respectively), though this difference was not significant (p = 0.09). By regression, there was no association between Parkland grade and CVS score (p = 0.13).
Conclusion
Publicly available and closed-group online videos of robotic-assisted cholecystectomy demonstrated inadequate dissection and may be of limited educational value. Future work should center on introducing measures to identify and feature videos with high-quality techniques most useful to surgeons.
Graphical abstract
Publisher
Springer Science and Business Media LLC
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