Cognitive appraisals and team performance under stress: A simulation study
| Autor: | Martin J. Turner, Fabio Carfagna, Jeffrey Michael Franc, Marc V. Jones, Elizabeth Braithwaite, Luca Carenzo, Matthew J. Slater, Pier Luigi Ingrassia |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Male 020205 medical informatics Cross-sectional study media_common.quotation_subject Applied psychology 02 engineering and technology Education Simulation training Competition (economics) 03 medical and health sciences Cognition 0302 clinical medicine Perception Stress (linguistics) 0202 electrical engineering electronic engineering information engineering medicine Humans 030212 general & internal medicine Simulation Training media_common Patient Care Team Internship and Residency General Medicine Somatic anxiety Cross-Sectional Studies Italy Anxiety Female Clinical Competence medicine.symptom Emergency Service Hospital Psychology Stress Psychological |
| Zdroj: | Medical Education. 54:254-263 |
| ISSN: | 1365-2923 0308-0110 |
| Popis: | Objective: The present study explored how challenge and threat responses to stress\ud relate to performance, anxiety, confidence, team identity and team characteristics (time spent training and postgraduate experience) in a team-based medical simulation competition.\ud Design: Cross-sectional data were collected prior to three days of competition.\ud Setting: The study was conducted during a national simulation-based training event for\ud residents, the SIMCUP Italia 2018. SIMCUP is a simulation competition where teams of four compete in simulated, medical emergency scenarios.\ud Subjects: 95 participants from 24 teams.\ud Measurements and Main Results: Each day prior to the competition, participants completed brief self-report measures which assessed demands and resources (which underpin challenge and threat responses to stress), cognitive and somatic anxiety, self-confidence and team identification. Participants also reported time (hours) spent practicing as a team and years of postgraduate experience. A team of referees judged each scenario for performance and assigned a score. We built a linear mixed model using demands and resources to model performance. The data showed that both demands and resources have a positive effect on performance (31 [11 - 50.3] p |
| Databáze: | OpenAIRE |
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