Examining the Feasibility and Predictive Validity of the SAGAT Tool to Assess Situation Awareness Among Medical Trainees
Autor: | Aimee K. Gardner, Matthew Kosemund, Joseph F. Martinez |
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Rok vydání: | 2016 |
Předmět: |
Predictive validity
Adult Male Knowledge management Students Medical Situation awareness Epidemiology media_common.quotation_subject Applied psychology Medicine (miscellaneous) Education 03 medical and health sciences Young Adult 0302 clinical medicine Curriculum development Humans 030212 general & internal medicine Simulation Training media_common Patient Care Team Teamwork business.industry Debriefing Multilevel model Reproducibility of Results 030208 emergency & critical care medicine Awareness Modeling and Simulation Scale (social sciences) General Surgery Feasibility Studies Female business Psychology Meaning (linguistics) |
Zdroj: | Simulation in healthcare : journal of the Society for Simulation in Healthcare. 12(1) |
ISSN: | 1559-713X |
Popis: | INTRODUCTION Situational awareness (SA) describes a team's ability to perceive environmental elements, comprehend their meaning, and anticipate future events. Although SA is consistently described as a critical competency among surgical teams, there is a dearth of research identifying efficacious methods to assess and develop SA in such settings. The aim of this study was to investigate the feasibility of implementing an objective tool that has been used to measure SA in other intense and dynamic environments -the Situation Awareness Global Assessment Technique (SAGAT)-and to examine its ability to predict surgical trainee team performance. METHODS Ten team-training sessions were conducted involving 2 standardized high-fidelity trauma simulation scenarios. Teams consisted of 4 or 5 participants, and roles were randomly assigned. Team situational awareness was assessed using the SAGAT method, which involves intermittent freezes to probe trainee awareness of the situation. Team performance was assessed using the Mayo High-Performance Teamwork Scale. Hierarchical regression was used to examine SA-performance relationships for each scenario. RESULTS Forty-three third-year medical students participated in the training sessions. Team SA ranged from 45% to 79% and 46% to 97% for the first and second scenarios, respectively. Additionally, team SA significantly predicted team performance for both the first scenario (F(1, 42)=19.57; P |
Databáze: | OpenAIRE |
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