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Interventions to Mitigate Emergency Department and Hospital Crowding During an Infectious Respiratory Disease Outbreak: Results from an Expert Panel

Objective: To identify and prioritize potential Emergency Department (ED) and hospital-based interventions which could mitigate the impact of crowding during patient surge from a widespread infectious respiratory disease outbreak and determine potential data sources that may be useful for triggering...

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Autores principales: Dugas, Andrea Freyer, Morton, Melinda, Beard, Raphaelle, Pines, Jesse M., Bayram, Jamil D., Hsieh, Yu-Hsiang, Kelen, Gabor, Uscher-Pines, Lori, Jeng, Kevin, Cole, Gai, Rothman, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3644286/
https://www.ncbi.nlm.nih.gov/pubmed/23856917
http://dx.doi.org/10.1371/currents.dis.1f277e0d2bf80f4b2bb1dd5f63a13993
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author Dugas, Andrea Freyer
Morton, Melinda
Beard, Raphaelle
Pines, Jesse M.
Bayram, Jamil D.
Hsieh, Yu-Hsiang
Kelen, Gabor
Uscher-Pines, Lori
Jeng, Kevin
Cole, Gai
Rothman, Richard
author_facet Dugas, Andrea Freyer
Morton, Melinda
Beard, Raphaelle
Pines, Jesse M.
Bayram, Jamil D.
Hsieh, Yu-Hsiang
Kelen, Gabor
Uscher-Pines, Lori
Jeng, Kevin
Cole, Gai
Rothman, Richard
author_sort Dugas, Andrea Freyer
collection PubMed
description Objective: To identify and prioritize potential Emergency Department (ED) and hospital-based interventions which could mitigate the impact of crowding during patient surge from a widespread infectious respiratory disease outbreak and determine potential data sources that may be useful for triggering decisions to implement these high priority interventions. Design: Expert panel utilizing Nominal Group Technique to identify and prioritize interventions, and in addition, determine appropriate “triggers” for implementation of the high priority interventions in the context of four different infectious respiratory disease scenarios that vary by patient volumes (high versus low) and illness severity (high versus low). Setting: One day in-person conference held November, 2011. Participants: Regional and national experts representing the fields of public health, disease surveillance, clinical medicine, ED operations, and hospital operations. Main Outcome Measure: Prioritized list of potential interventions to reduce ED and hospital crowding, respectively. In addition, we created a prioritized list of potential data sources which could be useful to trigger interventions. Results: High priority interventions to mitigate ED surge included standardizing admission and discharge criteria and instituting infection control measures. To mitigate hospital crowding, panelists prioritized mandatory vaccination and an algorithm for antiviral use. Data sources identified for triggering implementation of these interventions were most commonly ED and hospital utilization metrics. Conclusions: We developed a prioritized list of potentially useful interventions to mitigate ED and hospital crowding in various outbreak scenarios. The data sources identified to “trigger” the implementation of these high priority interventions consist mainly of sources available at the local, institutional level.
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spelling pubmed-36442862013-05-08 Interventions to Mitigate Emergency Department and Hospital Crowding During an Infectious Respiratory Disease Outbreak: Results from an Expert Panel Dugas, Andrea Freyer Morton, Melinda Beard, Raphaelle Pines, Jesse M. Bayram, Jamil D. Hsieh, Yu-Hsiang Kelen, Gabor Uscher-Pines, Lori Jeng, Kevin Cole, Gai Rothman, Richard PLoS Curr Research Article Objective: To identify and prioritize potential Emergency Department (ED) and hospital-based interventions which could mitigate the impact of crowding during patient surge from a widespread infectious respiratory disease outbreak and determine potential data sources that may be useful for triggering decisions to implement these high priority interventions. Design: Expert panel utilizing Nominal Group Technique to identify and prioritize interventions, and in addition, determine appropriate “triggers” for implementation of the high priority interventions in the context of four different infectious respiratory disease scenarios that vary by patient volumes (high versus low) and illness severity (high versus low). Setting: One day in-person conference held November, 2011. Participants: Regional and national experts representing the fields of public health, disease surveillance, clinical medicine, ED operations, and hospital operations. Main Outcome Measure: Prioritized list of potential interventions to reduce ED and hospital crowding, respectively. In addition, we created a prioritized list of potential data sources which could be useful to trigger interventions. Results: High priority interventions to mitigate ED surge included standardizing admission and discharge criteria and instituting infection control measures. To mitigate hospital crowding, panelists prioritized mandatory vaccination and an algorithm for antiviral use. Data sources identified for triggering implementation of these interventions were most commonly ED and hospital utilization metrics. Conclusions: We developed a prioritized list of potentially useful interventions to mitigate ED and hospital crowding in various outbreak scenarios. The data sources identified to “trigger” the implementation of these high priority interventions consist mainly of sources available at the local, institutional level. Public Library of Science 2013-04-17 /pmc/articles/PMC3644286/ /pubmed/23856917 http://dx.doi.org/10.1371/currents.dis.1f277e0d2bf80f4b2bb1dd5f63a13993 Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Dugas, Andrea Freyer
Morton, Melinda
Beard, Raphaelle
Pines, Jesse M.
Bayram, Jamil D.
Hsieh, Yu-Hsiang
Kelen, Gabor
Uscher-Pines, Lori
Jeng, Kevin
Cole, Gai
Rothman, Richard
Interventions to Mitigate Emergency Department and Hospital Crowding During an Infectious Respiratory Disease Outbreak: Results from an Expert Panel
title Interventions to Mitigate Emergency Department and Hospital Crowding During an Infectious Respiratory Disease Outbreak: Results from an Expert Panel
title_full Interventions to Mitigate Emergency Department and Hospital Crowding During an Infectious Respiratory Disease Outbreak: Results from an Expert Panel
title_fullStr Interventions to Mitigate Emergency Department and Hospital Crowding During an Infectious Respiratory Disease Outbreak: Results from an Expert Panel
title_full_unstemmed Interventions to Mitigate Emergency Department and Hospital Crowding During an Infectious Respiratory Disease Outbreak: Results from an Expert Panel
title_short Interventions to Mitigate Emergency Department and Hospital Crowding During an Infectious Respiratory Disease Outbreak: Results from an Expert Panel
title_sort interventions to mitigate emergency department and hospital crowding during an infectious respiratory disease outbreak: results from an expert panel
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3644286/
https://www.ncbi.nlm.nih.gov/pubmed/23856917
http://dx.doi.org/10.1371/currents.dis.1f277e0d2bf80f4b2bb1dd5f63a13993
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