Assessment of basic human performance resources predicts performance of ureteroscopy

Edward D. Matsumoto, George V. Kondraske, Kenneth Ogan, Lucas Jacomides, David M. Wilhelm, Margaret S Pearle, Jeffrey A Cadeddu

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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 languageEnglish (US)
Pages (from-to)817-820
Number of pages4
JournalAmerican journal of surgery
Issue number6
StatePublished - Jun 2006


  • Human performance
  • Skill
  • Surgery
  • Training
  • Ureteroscopy
  • Virtual reality

ASJC Scopus subject areas

  • Surgery


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