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Functionality of Scarce Healthcare Resource Triage Teams During the COVID-19 Pandemic: A Multi-Institutional Simulation Study

Plans for allocating scarce healthcare resources during the COVID-19 pandemic commonly involve the activation of institutional triage teams. These teams would be responsible for selecting patients who are most likely to survive to be prioritized to receive scarce resources. However, there is little...

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Autores principales: Butler, Catherine R., Webster, Laura B., Sakata, Vicki L., Tonelli, Mark R., Diekema, Douglas S., Gray, Megan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785932/
https://www.ncbi.nlm.nih.gov/pubmed/35083438
http://dx.doi.org/10.1097/CCE.0000000000000627
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author Butler, Catherine R.
Webster, Laura B.
Sakata, Vicki L.
Tonelli, Mark R.
Diekema, Douglas S.
Gray, Megan M.
author_facet Butler, Catherine R.
Webster, Laura B.
Sakata, Vicki L.
Tonelli, Mark R.
Diekema, Douglas S.
Gray, Megan M.
author_sort Butler, Catherine R.
collection PubMed
description Plans for allocating scarce healthcare resources during the COVID-19 pandemic commonly involve the activation of institutional triage teams. These teams would be responsible for selecting patients who are most likely to survive to be prioritized to receive scarce resources. However, there is little empirical support for this approach. DESIGN: High-fidelity triage-team simulation study. SETTING: Healthcare institutions in Washington state. SUBJECTS: Triage teams, consisting of at least two senior clinicians and a bioethicist. INTERVENTIONS: Participants reviewed a limited amount of deidentified information for a diverse sample of critically ill patients. Teams then assigned each patient to one of five prioritization categories defined by likelihood of survival to hospital discharge. The process was refined based on observation and participant feedback after which a second phase of simulations was conducted. MEASUREMENTS AND MAIN RESULTS: Feasibility was assessed by the time required for teams to perform their task. Prognostic accuracy was assessed by comparing teams’ prediction about likelihood of survival to hospital discharge with real-world discharge outcomes. Agreement between the teams on prognostic categorization was evaluated using kappa statistics. Eleven triage team simulations (eight in phase 1 and three in phase 2) were conducted from December 2020 to February 2021. Overall, teams reviewed a median of 23 patient cases in each session (interquartile range [IQR], 17–29) and spent a median of 102 seconds (IQR, 50–268) per case. The concordance between expected survival and real-world survival to discharge was 71% (IQR, 64–76%). The overall agreement between teams for placement of patients into prognostic categories was moderate (weighted kappa = 0.53). CONCLUSIONS: These findings support the potential feasibility, accuracy, and effectiveness of institutional triage teams informed by a limited set of patient information items as part of a strategy for allocating scarce resources in healthcare emergencies. Additional work is needed to refine the process and adapt it to local contexts.
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spelling pubmed-87859322022-01-25 Functionality of Scarce Healthcare Resource Triage Teams During the COVID-19 Pandemic: A Multi-Institutional Simulation Study Butler, Catherine R. Webster, Laura B. Sakata, Vicki L. Tonelli, Mark R. Diekema, Douglas S. Gray, Megan M. Crit Care Explor Original Clinical Report Plans for allocating scarce healthcare resources during the COVID-19 pandemic commonly involve the activation of institutional triage teams. These teams would be responsible for selecting patients who are most likely to survive to be prioritized to receive scarce resources. However, there is little empirical support for this approach. DESIGN: High-fidelity triage-team simulation study. SETTING: Healthcare institutions in Washington state. SUBJECTS: Triage teams, consisting of at least two senior clinicians and a bioethicist. INTERVENTIONS: Participants reviewed a limited amount of deidentified information for a diverse sample of critically ill patients. Teams then assigned each patient to one of five prioritization categories defined by likelihood of survival to hospital discharge. The process was refined based on observation and participant feedback after which a second phase of simulations was conducted. MEASUREMENTS AND MAIN RESULTS: Feasibility was assessed by the time required for teams to perform their task. Prognostic accuracy was assessed by comparing teams’ prediction about likelihood of survival to hospital discharge with real-world discharge outcomes. Agreement between the teams on prognostic categorization was evaluated using kappa statistics. Eleven triage team simulations (eight in phase 1 and three in phase 2) were conducted from December 2020 to February 2021. Overall, teams reviewed a median of 23 patient cases in each session (interquartile range [IQR], 17–29) and spent a median of 102 seconds (IQR, 50–268) per case. The concordance between expected survival and real-world survival to discharge was 71% (IQR, 64–76%). The overall agreement between teams for placement of patients into prognostic categories was moderate (weighted kappa = 0.53). CONCLUSIONS: These findings support the potential feasibility, accuracy, and effectiveness of institutional triage teams informed by a limited set of patient information items as part of a strategy for allocating scarce resources in healthcare emergencies. Additional work is needed to refine the process and adapt it to local contexts. Lippincott Williams & Wilkins 2022-01-21 /pmc/articles/PMC8785932/ /pubmed/35083438 http://dx.doi.org/10.1097/CCE.0000000000000627 Text en Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Original Clinical Report
Butler, Catherine R.
Webster, Laura B.
Sakata, Vicki L.
Tonelli, Mark R.
Diekema, Douglas S.
Gray, Megan M.
Functionality of Scarce Healthcare Resource Triage Teams During the COVID-19 Pandemic: A Multi-Institutional Simulation Study
title Functionality of Scarce Healthcare Resource Triage Teams During the COVID-19 Pandemic: A Multi-Institutional Simulation Study
title_full Functionality of Scarce Healthcare Resource Triage Teams During the COVID-19 Pandemic: A Multi-Institutional Simulation Study
title_fullStr Functionality of Scarce Healthcare Resource Triage Teams During the COVID-19 Pandemic: A Multi-Institutional Simulation Study
title_full_unstemmed Functionality of Scarce Healthcare Resource Triage Teams During the COVID-19 Pandemic: A Multi-Institutional Simulation Study
title_short Functionality of Scarce Healthcare Resource Triage Teams During the COVID-19 Pandemic: A Multi-Institutional Simulation Study
title_sort functionality of scarce healthcare resource triage teams during the covid-19 pandemic: a multi-institutional simulation study
topic Original Clinical Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785932/
https://www.ncbi.nlm.nih.gov/pubmed/35083438
http://dx.doi.org/10.1097/CCE.0000000000000627
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