Title of article
Assessment of basic human performance resources predicts performance of ureteroscopy
Author/Authors
Edward D. Matsumoto، نويسنده , , George V. Kondraske، نويسنده , , Kenneth Ogan، نويسنده , , Lucas Jacomides، نويسنده , , David M. Wilhelm، نويسنده , , Margaret S. Pearle، نويسنده , , Jeffrey A. Cadeddu، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2006
Pages
4
From page
817
To page
820
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.
Keywords
human performance , skill , surgery , Training , ureteroscopy , Virtual Reality
Journal title
The American Journal of Surgery
Serial Year
2006
Journal title
The American Journal of Surgery
Record number
618308
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