Assessment of basic human performance resources predicts performance of ureteroscopy

Area of Science:

• Urology
• Surgical Education
• Medical Simulation

Background:

• Assessing surgical performance is crucial for medical training.
• Basic Performance Resources (BPRs) offer objective metrics for skill evaluation.
• Cadaver models provide a realistic platform for surgical training and assessment.

Purpose of the Study:

• To predict endoscopic performance in a cadaver model using basic performance resources (BPRs) measurements.
• To develop a predictive model for ureteroscopic performance based on BPRs.
• To evaluate the utility of BPRs in assessing surgical competency.

Main Methods:

• Medical students (n=16) received ureteroscopic training and were assessed on cadaveric performance.
• 13 validated BPR measurements were taken for each medical student.
• A predictive model was developed using BPRs and performance data from urology residents (n=16) to predict medical student performance.

Main Results:

• The predictive model, derived from urology residents' data, accurately predicted the ureteroscopic performance of 10 out of 16 medical students.
• Predictions were within 15% of the actual rated ureteroscopic performance on the cadaver.
• This demonstrates a moderate ability of BPRs to predict surgical skill.

Conclusions:

• A predictive model utilizing BPRs can moderately forecast medical students' ureteroscopic performance in cadaveric settings.
• The model, built on experienced urology residents' data, shows promise for skill assessment.
• Further in vivo evaluation is necessary to validate these findings in real-world clinical scenarios.