1. Transference of skills in robotic vs. laparoscopic simulation: a randomized controlled trial.
- Author
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Kanitra JJ, Khogali-Jakary N, Gambhir SB, Davis AT, Hollis M, Moon C, Gupta R, Haan PS, Anderson C, Collier D, Henry D, and Kavuturu S
- Subjects
- Clinical Competence, Computer Simulation, Humans, Internship and Residency, Laparoscopy, Robotic Surgical Procedures, Robotics, Simulation Training
- Abstract
Background: Elucidating how robotic skills are best obtained will enable surgeons to best develop future robotic training programs. We perform a randomized controlled trial to assess the performance of robotic compared to laparoscopic surgery, transference of pre-existing skills between the two modalities, and to assess the learning curve between the two using novice medical students., Methods: Forty students were randomized into either Group A or B. Students practiced and were tested on a peg transfer task in either a laparoscopic simulator (LS) and robotic simulator (RS) in a pre-defined order. Performance, transference of skills and learning curve were assessed for each modality. Additionally, a fatigue questionnaire was issued., Results: There was no significant difference between overall laparoscopic scores (219 ± 19) and robotic scores (227 ± 23) (p = 0.065). Prior laparoscopic skills performed significantly better on robotic testing (236 ± 12) than without laparoscopic skills (216 ± 28) (p = 0.008). There was no significant difference in scores between students with prior robotic skills (223 ± 16) than without robotic skills (215 ± 22) (p = 0.162). Students reported no difference in fatigue between RS and LS. The learning curve plateaus at similar times between both modalities., Conclusion: Novice medical students with laparoscopic skills performed better on a RS test than students without laparoscopic training, suggesting a transference of skills from laparoscopic to robotic surgery. These results suggest laparoscopic training may be sufficient in general surgery residencies as the skills transfer to robotic if used post-residency., (© 2021. The Author(s).)
- Published
- 2021
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