Criterion-Based Training With Surgical Simulators: Proficiency of Experienced Surgeons
| Autor: | Heinrichs, LeRoy, Lukoff, Brian, Youngblood, Patricia, Dev, Parvati, Shavelson, Richard, Hasson, Harrith M., Satava, Richard M., McDougall, Elspeth M., Wetter, Paul Alan |
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| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: | |
| Zdroj: | JSLS : Journal of the Society of Laparoendoscopic Surgeons |
| ISSN: | 1938-3797 1086-8089 |
| Popis: | Objective: In our effort to establish criterion-based skills training for surgeons, we assessed the performance of 17 experienced laparoscopic surgeons on basic technical surgical skills recorded electronically in 26 modules selected in 5 commercially available, computer-based simulators. Methods: Performance data were derived from selected surgeons randomly assigned to simulator stations, and practicing repetitively during one and one-half day sessions on 5 different simulators. We measured surgeon proficiency defined as efficient, error-free performance and developed proficiency score formulas for each module. Demographic and opinion data were also collected. Results: Surgeons' performance demonstrated a sharp learning curve with the most performance improvement seen in early practice attempts. Median scores and performance levels at the 10th, 25th, 75th, and 90th percentiles are provided for each module. Construct validity was examined for 2 modules by comparing experienced surgeons' performance with that of a convenience sample of less-experienced surgeons. Conclusion: A simple mathematical method for scoring performance is applicable to these simulators. Proficiency levels for training courses can now be specified objectively by residency directors and by professional organizations for different levels of training or post-training assessment of technical performance. But data users should be cautious due to the small sample size in this study and the need for further study into the reliability and validity of the use of surgical simulators as assessment tools. |
| Databáze: | OpenAIRE |
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