Identification of New Tools to Predict Surgical Performance of Novices using a Plastic Surgery Simulator
| Autor: | Alex Viezel-Mathieu, Shantale Cyr, Roy Kazan, Samuel J. Lin, Mirko S. Gilardino, Thomas M. Hemmerling |
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| Rok vydání: | 2017 |
| Předmět: |
Adult
Male medicine.medical_specialty Trainer Computer science Mammaplasty Mammoplasty 030230 surgery EPIC Education 03 medical and health sciences 0302 clinical medicine medicine Humans Surgery Plastic Competence (human resources) Simulation Training Simulation Internship and Residency Plastic surgery Video Games Augmentation Mammoplasty Learning curve 030220 oncology & carcinogenesis Surgery Female Clinical Competence Residency training Forecasting |
| Zdroj: | Journal of surgical education. 75(6) |
| ISSN: | 1878-7452 |
| Popis: | Objective To identify new tools capable of predicting surgical performance of novices on an augmentation mammoplasty simulator. The pace of technical skills acquisition varies between residents and may necessitate more time than that allotted by residency training before reaching competence. Identifying applicants with superior innate technical abilities might shorten learning curves and the time to reach competence. The objective of this study is to identify new tools that could predict surgical performance of novices on a mammoplasty simulator. Method We recruited 14 medical students and recorded their performance in 2 skill-games: Mikado and Perplexus Epic, and in 2 video games: Star War Racer (Sony Playstation 3) and Super Monkey Ball 2 (Nintendo Wii). Then, each participant performed an augmentation mammoplasty procedure on a Mammoplasty Part-task Trainer, which allows the simulation of the essential steps of the procedure. Results The average age of participants was 25.4 years. Correlation studies showed significant association between Perplexus Epic, Star Wars Racer, Super Monkey Ball scores and the modified OSATS score with rs = 0.8491 (p Conclusions This study identified a combination of skill games that correlated to better performance of novices on a surgical simulator. With refinement, such tools could serve to help screen plastic surgery applicants and identify those with higher surgical performance predictors. |
| Databáze: | OpenAIRE |
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