Canadian Medical Education Journal
CODE BLUE! Does how we feel predict how we do? A quantitative observational study of in-situ, near-peer simulations among internal medicine residents using self-reports and expert ratings
By Patrick Iannattone, Matthew V. Moreno, Jason M. Harley and 1 others.
Abstract
Background
Understanding the impact of residents’ emotions during simulation training may improve preparation for managing Code Blue scenarios. The optimal use of in-situ simulations for deliberate practice of previously learned skills is a growing field. This study applied Pekrun’s Control Value Theory to examine if internal medicine residents’ achievement emotions, driven by appraisals of control and value, influenced their performance following in-situ, near-peer Code Blue simulations facilitated by fellow residents.
Methods
This quantitative, cross-sectional observational study involved 74 internal medicine residents (25 leaders, 49 team members) participating in monthly in-situ Code Blue simulations at a Canadian academic hospital. Immediately following each simulation, residents completed self-reports of their emotions and performance. Concurrently, a medical expert used the Ottawa Global Rating Scale to rate code leaders’ performances. Linear regressions were used to assess the predictive relationships between participants’ appraisals of their degree of control over and value for the simulation, their emotions and performance outcomes.
