Using simulation for training and to change protocol during the outbreak of severe acute respiratory syndrome View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2005-11-24

AUTHORS

Simon D Abrahamson, Sonya Canzian, Fabrice Brunet

ABSTRACT

IntroductionDuring the 2003 severe acute respiratory syndrome (SARS) crisis, we proposed and tested a new protocol for cardiac arrest in a patient with SARS. The protocol was rapidly and effectively instituted by teamwork training using high-fidelity simulation.MethodsPhase 1 was a curriculum design of a SARS-specific cardiac arrest protocol in three steps: planning the new protocol, repeated simulations of this protocol in a classroom, and a subsequent simulation of a cardiac arrest on a hospital ward. Phase 2 was the training of 275 healthcare workers (HCWs) using the new protocol. Training involved a seminar, practice in wearing the mandatory personal protection system (PPS), and cardiac arrest simulations with subsequent debriefing.ResultsSimulation provided insights that had not been considered in earlier phases of development. For example, a single person can don a PPS worn for the SARS patient in 1 1/2 minutes. However, when multiple members of a cardiac arrest team were dressing simultaneously, the time to don the PPS increased to between 3 1/2 and 5 1/2 minutes. Errors in infection control as well as in medical management of advanced cardiac life support (ACLS) were corrected.ConclusionDuring the SARS crisis, real-time use of a high-fidelity simulator allowed the training of 275 HCWs in 2 weeks, with debriefing and error management. HCWs were required to manage the SARS cardiac arrest wearing unfamiliar equipment and following a modified ACLS protocol. The insight gained from this experience will be valuable for future infectious disease challenges in critical care. More... »

PAGES

r3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/cc3916

DOI

http://dx.doi.org/10.1186/cc3916

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019031792

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16356209


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