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Implementing COVID-19 Simulation Training for Anesthesiology Residents.
Hong, Bryant E; Myo Bui, Christine C; Huang, Yue Ming; Grogan, Tristan; Duval, Victor F; Cannesson, Maxime.
Afiliação
  • Hong BE; Resident, Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, David Geffen School of Medicine.
  • Myo Bui CC; Associate Clinical Professor and Associate Residency Program Director, Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, David Geffen School of Medicine.
  • Huang YM; Interim Executive Director, UCLA Simulation Center; Associate Adjunct Professor, Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, David Geffen School of Medicine.
  • Grogan T; Principal Statistician, Department of Medicine Statistics Core, University of California, Los Angeles, David Geffen School of Medicine.
  • Duval VF; Anesthesiology Liaison and Lead Instructor, UCLA Simulation Center; Associate Clinical Professor, Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, David Geffen School of Medicine.
  • Cannesson M; Professor and Chair, Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, David Geffen School of Medicine.
MedEdPORTAL ; 18: 11215, 2022.
Article em En | MEDLINE | ID: mdl-35178468
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.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Treinamento por Simulação / COVID-19 / Anestesiologia Limite: Humans / Middle aged Idioma: En Revista: MedEdPORTAL Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Treinamento por Simulação / COVID-19 / Anestesiologia Limite: Humans / Middle aged Idioma: En Revista: MedEdPORTAL Ano de publicação: 2022 Tipo de documento: Article