Interprofessional Disaster Simulation During the COVID-19 Pandemic: Adapting to Fully Online Learning
| Autor: | Gary Glauberman, Kamal Masaki, Robin G. Arndt, Joanne R. Loos, Alan R. Katz, Lorrie C.K. Wong, Kimm Teruya, Michele Bray, Kal Peterman |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
medicine.medical_specialty
Nursing (miscellaneous) Coronavirus disease 2019 (COVID-19) Computer science Article Education nursing Pandemic medicine Medical education Emergency preparedness Emergency management business.industry pandemic Public health Online learning public health COVID-19 interprofessional simulation Triage disaster Modeling and Simulation The Internet business Instructional simulation |
| Zdroj: | Clinical Simulation in Nursing |
| ISSN: | 1876-1399 |
| DOI: | 10.1016/j.ecns.2021.11.004 |
| Popis: | This paper describes the rapid conversion of a face-to-face interprofessional (IP) disaster simulation to an online format in response to COVID-19 campus closures. The online disaster simulation utilized internet-based tools allowing real-time collaboration between IP students. Team exercises involved disaster triage, disease outbreak investigation, and disaster response. Surveys measuring self-assessment of various IP skills and simulation learning outcomes (SLOs) were compared with responses from previous face-to-face simulations. Results indicated mean scores for IP skills were higher for online students when compared with in-person simulations, and all SLOs were met. The online disaster simulation provided an effective, innovative IP educational opportunity. |
| Databáze: | OpenAIRE |
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