Implementing COVID-19 Simulation Training for Anesthesiology Residents

Autor: Bryant E. Hong, Christine C. Myo Bui, Yue Ming Huang, Tristan Grogan, Victor F. Duval, Maxime Cannesson
Rok vydání: 2021
Předmět:
Zdroj: MedEdPORTAL, Vol 18 (2022)
ISSN: 2374-8265
Popis: Introduction During the COVID-19 pandemic, anesthesiology residents faced increased risk of exposure to SARS-CoV-2 while performing aerosolizing procedures. We developed an airway simulation on the out-of-operating-room management of COVID-19 patients. Methods A 90-minute simulation focused on caring for a 45-year-old COVID-19 patient provided training in donning and doffing personal protective equipment, intubation, management of postinduction hypotension, management of ICU ventilators, treatment strategies for acute respiratory distress syndrome (ARDS), interpersonal communication, and resource management. Presimulation, postsimulation, and 3-months postsimulation questionnaires measured changes in confidence, knowledge, and clinical practice. Statistical analysis was completed using related-samples Wilcoxon signed rank tests. Results Twenty-four residents participated in the simulation. Questionnaire response rates were 100% presimulation and postsimulation and 88% 3-months postsimulation. Confidence scores (1 = not at all, 5 = extremely) improved with donning and doffing personal protective equipment (from 3.0 to 4.1, p < .001), ARDS management (from 3.1 to 4.0, p < .001), and COVID-19 airway management (from 2.8 to 4.0, p < .001). Correct answers on 10 knowledge questions increased significantly between presimulation and postsimulation (from 5.1 to 9.0, p < .001) but not between presimulation and 3-months postsimulation (from 5.1 to 5.8, p = .27). All participants who cared for COVID-19 patients at 3 months agreed or strongly agreed that their current management of COVID-19 patients was directly influenced by the simulation session (M = 4.4). Discussion This simulation is a safe, effective method of providing the experiential training necessary to care for actual COVID-19 patients during an active pandemic.
Databáze: OpenAIRE