Erschienen in:
22.04.2016 | Original Article
Structured learning for robotic surgery utilizing a proficiency score: a pilot study
verfasst von:
Andrew J. Hung, Thomas Bottyan, Thomas G. Clifford, Sarfaraz Serang, Zein K. Nakhoda, Swar H. Shah, Hana Yokoi, Monish Aron, Inderbir S. Gill
Erschienen in:
World Journal of Urology
|
Ausgabe 1/2017
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Abstract
Purpose
We evaluated feasibility and benefit of implementing structured learning in a robotics program. Furthermore, we assessed validity of a proficiency assessment tool for stepwise graduation.
Methods
Teaching cases included robotic radical prostatectomy and partial nephrectomy. Procedure steps were categorized: basic, intermediate, and advanced. An assessment tool [“proficiency score” (PS)] was developed to evaluate ability to safely and autonomously complete a step. Graduation required a passing PS (PS ≥ 3) on three consecutive attempts. PS and validated global evaluative assessment of robotic skills (GEARS) were evaluated for completed steps. Linear regression was utilized to determine postgraduate year/PS relationship (construct validity). Spearman’s rank correlation coefficient measured correlation between PS and GEARS evaluations (concurrent validity). Intraclass correlation (ICC) evaluated PS agreement between evaluator classes.
Results
Twenty-one robotic trainees participated within the pilot program, completing a median of 14 (2–69) cases each. Twenty-three study evaluators scored 14 (1–60) cases. Over 4 months, 229/294 (78 %) cases were designated “teaching” cases. Residents completed 91 % of possible evaluations; faculty completed 78 %. Verbal and quantitative feedback received by trainees increased significantly (p = 0.002, p < 0.001, respectively). Average PS increased with PGY (post-graduate year) for basic and intermediate steps (regression slopes: 0.402 (p < 0.0001), 0.323 (p < 0.0001), respectively) (construct validation). Overall, PS correlated highly with GEARS (ρ = 0.81, p < 0.0001) (concurrent validity). ICC was 0.77 (95 % CI 0.61–0.88) for resident evaluations.
Conclusion
Structured learning can be implemented in an academic robotic program with high levels of trainee and evaluator participation, encouraging both quantitative and verbal feedback. A proficiency assessment tool developed for step-specific proficiency has construct and concurrent validity.