Abstract
Background: Our objective was to predict endoscopic performance in a cadaver model using basic performance resources (BPRs) measurements. Methods: Medical students (n = 16) underwent intense ureteroscopic training on a virtual reality ureteroscopy trainer and were rated on performing ureteroscopy on a cadaver. The medical students also underwent 13 validated BPR measurements. Urology residents also performed cadaveric ureteroscopy and BPRs. A predictive model built from urology residents' (n = 16) BPRs and performance assessment was used to predict medical student cadaveric ureteroscopy performance based on their BPRs alone. Results: The predictive model built with urology residents predicted the ureteroscopic performance of 10 of 16 medical students within 15% of their rated ureteroscopic performance on the cadaver. Conclusions: A predictive model built with urology residents can moderately predict the ureteroscopic performance of medical students from BPRs. Additional in vivo evaluation is required.
Original language | English (US) |
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Pages (from-to) | 817-820 |
Number of pages | 4 |
Journal | American journal of surgery |
Volume | 191 |
Issue number | 6 |
DOIs | |
State | Published - Jun 2006 |
Keywords
- Human performance
- Skill
- Surgery
- Training
- Ureteroscopy
- Virtual reality
ASJC Scopus subject areas
- Surgery