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Simulation-Based Laparoscopic Surgery Crisis Resource Management Training-Predicting Technical and Nontechnical
Mitchell G Goldenberg1, Kai H Fok1, Michael Ordon2
1Division of Urology, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
Objectives:
To develop a unique simulation-based assessment using a laparoscopic inferior vena cava (IVC) injury scenario that allows for the safe assessment of urology resident's technical and nontechnical skills, and investigate the effect of personality traits performance in a surgical crisis.
Methods:
Urology residents from our institution were recruited to participate in a simulation-based training laparoscopic nephrectomy exercise. Residents completed demographic and multidimensional personality questionnaires and were instructed to play the role of staff urologist. A vasovagal response to pneumoperitoneum and an IVC injury event were scripted into the scenario. Technical and nontechnical skills were assessed by expert laparoscopic surgeons using validated tools (task checklist, GOALS, and NOTSS).
Results:
Ten junior and five senior urology residents participated. Five residents were unable to complete the exercise safely. Senior residents outperformed juniors on technical (checklist score 15.1 vs 9.9, p < 0.01, GOALS score 18.0 vs 13.3, p < 0.01) and nontechnical performance (NOTSS score 13.8 vs 10.1, p = 0.03). Technical performance scores correlated with NOTSS scores (p < 0.01) and pass/fail rating correlated with technical performance (p < 0.01 for both checklist and GOALS), NOTSS score (p = 0.02), and blood loss (p < 0.01). Only the conscientiousness dimension of the big five inventory correlated with technical score (p = 0.03) and pass/fail rating (p = 0.04).
Conclusions:
Resident level of training and laparoscopic experience correlated with technical performance during a simulation-based laparoscopic IVC injury crisis management scenario, as well as multiple domains of nontechnical performance. Personality traits of our surgical residents are similar and did not predict technical skill.
