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In-situ simulations for COVID-19: a safety II approach towards resilient performance

BACKGROUND: COVID-19 has taken the world by surprise; even the most sophisticated healthcare systems have been unable to cope with the volume of patients and lack of resources. Yet the gradual spread of the virus in Lebanon has allowed healthcare facilities critical time to prepare. Simulation is th...

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Autores principales: Lakissian, Zavi, Sabouneh, Rami, Zeineddine, Rida, Fayad, Joe, Banat, Rim, Sharara-Chami, Rana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388429/
https://www.ncbi.nlm.nih.gov/pubmed/32754345
http://dx.doi.org/10.1186/s41077-020-00137-x
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author Lakissian, Zavi
Sabouneh, Rami
Zeineddine, Rida
Fayad, Joe
Banat, Rim
Sharara-Chami, Rana
author_facet Lakissian, Zavi
Sabouneh, Rami
Zeineddine, Rida
Fayad, Joe
Banat, Rim
Sharara-Chami, Rana
author_sort Lakissian, Zavi
collection PubMed
description BACKGROUND: COVID-19 has taken the world by surprise; even the most sophisticated healthcare systems have been unable to cope with the volume of patients and lack of resources. Yet the gradual spread of the virus in Lebanon has allowed healthcare facilities critical time to prepare. Simulation is the most practical avenue not only for preparing the staff but also for troubleshooting system’s latent safety threats (LSTs) and for understanding these challenges via Hollnagel’s safety I–II approaches. METHODS: This is a quality improvement initiative: daily in situ simulations were conducted across various departments at the American University of Beirut Medical Center (AUBMC), a tertiary medical care center in Beirut, Lebanon. These simulations took place in the hospital with native multidisciplinary teams of 3–5 members followed by debriefing with good judgment using the modified PEARLS (Promoting Excellence and Reflective Learning in Simulation) for systems integration. All participants completed the simulation effectiveness tool (SET-M) to assess the simulation. Debriefings were analyzed qualitatively for content based on the Safety Model and LST identification, and the SET-Ms were analyzed quantitatively. RESULTS: Twenty-two simulations have been conducted with 131 participants. SET-M results showed that the majority (78–87%) strongly agreed to the effectiveness of the intervention. We were able to glean several clinical and human factor safety I–II components and LSTs such as overall lack of preparedness and awareness of donning/doffing of personal protective equipment (PPE), delayed response time, lack of experience in rapid sequence intubation, inability to timely and effectively assign roles, and lack of situational awareness. On the other hand, teams quickly recognized the patient’s clinical status and often communicated effectively. CONCLUSION: This intervention allowed us to detect previously unrecognized LSTs, prepare our personnel, and offer crucial practical hands-on experience for an unprecedented healthcare crisis.
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spelling pubmed-73884292020-07-29 In-situ simulations for COVID-19: a safety II approach towards resilient performance Lakissian, Zavi Sabouneh, Rami Zeineddine, Rida Fayad, Joe Banat, Rim Sharara-Chami, Rana Adv Simul (Lond) Research BACKGROUND: COVID-19 has taken the world by surprise; even the most sophisticated healthcare systems have been unable to cope with the volume of patients and lack of resources. Yet the gradual spread of the virus in Lebanon has allowed healthcare facilities critical time to prepare. Simulation is the most practical avenue not only for preparing the staff but also for troubleshooting system’s latent safety threats (LSTs) and for understanding these challenges via Hollnagel’s safety I–II approaches. METHODS: This is a quality improvement initiative: daily in situ simulations were conducted across various departments at the American University of Beirut Medical Center (AUBMC), a tertiary medical care center in Beirut, Lebanon. These simulations took place in the hospital with native multidisciplinary teams of 3–5 members followed by debriefing with good judgment using the modified PEARLS (Promoting Excellence and Reflective Learning in Simulation) for systems integration. All participants completed the simulation effectiveness tool (SET-M) to assess the simulation. Debriefings were analyzed qualitatively for content based on the Safety Model and LST identification, and the SET-Ms were analyzed quantitatively. RESULTS: Twenty-two simulations have been conducted with 131 participants. SET-M results showed that the majority (78–87%) strongly agreed to the effectiveness of the intervention. We were able to glean several clinical and human factor safety I–II components and LSTs such as overall lack of preparedness and awareness of donning/doffing of personal protective equipment (PPE), delayed response time, lack of experience in rapid sequence intubation, inability to timely and effectively assign roles, and lack of situational awareness. On the other hand, teams quickly recognized the patient’s clinical status and often communicated effectively. CONCLUSION: This intervention allowed us to detect previously unrecognized LSTs, prepare our personnel, and offer crucial practical hands-on experience for an unprecedented healthcare crisis. BioMed Central 2020-07-29 /pmc/articles/PMC7388429/ /pubmed/32754345 http://dx.doi.org/10.1186/s41077-020-00137-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lakissian, Zavi
Sabouneh, Rami
Zeineddine, Rida
Fayad, Joe
Banat, Rim
Sharara-Chami, Rana
In-situ simulations for COVID-19: a safety II approach towards resilient performance
title In-situ simulations for COVID-19: a safety II approach towards resilient performance
title_full In-situ simulations for COVID-19: a safety II approach towards resilient performance
title_fullStr In-situ simulations for COVID-19: a safety II approach towards resilient performance
title_full_unstemmed In-situ simulations for COVID-19: a safety II approach towards resilient performance
title_short In-situ simulations for COVID-19: a safety II approach towards resilient performance
title_sort in-situ simulations for covid-19: a safety ii approach towards resilient performance
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388429/
https://www.ncbi.nlm.nih.gov/pubmed/32754345
http://dx.doi.org/10.1186/s41077-020-00137-x
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