Attentional selectivity, automaticity, and self-efficacy predict simulator-acquired skill transfer to the clinical environment

Autor: Tomoko Mizota, Lava Timsina, Nicholas E. Anton, Dimitrios Stefanidis, Erinn M. Myers, Jake Whiteside
Rok vydání: 2019
Předmět:
Zdroj: The American Journal of Surgery. 217:266-271
ISSN: 0002-9610
Popis: Introduction Several studies demonstrated that simulator-acquired skill transfer to the operating room is incomplete. Our objective was to identify trainee characteristics that predict the transfer of simulator-acquired skill to the operating room. Methods Trainees completed baseline assessments including intracorporeal suturing (IS) performance, attentional selectivity, self-reported use of mental skills, and self-reported prior clinical and simulated laparoscopic experience and confidence. Residents then followed proficiency-based laparoscopic skills training, and their skill transfer was assessed on a live-anesthetized porcine model. Predictive characteristics for transfer test performance were assessed using multiple linear regression. Results Thirty-eight residents completed the study. Automaticity, attentional selectivity, resident perceived ability with laparoscopy and simulators, and post-training IS performance were predictive of IS performance during the transfer test. Conclusions Promoting automaticity, self-efficacy, and attention selectivity may help improve the transfer of simulator-acquired skill. Mental skills training and training to automaticity may therefore be valuable interventions to achieve this goal.
Databáze: OpenAIRE