Cargando…
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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |
_version_ | 1782268446785929216 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3644286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dugasandreafreyer interventionstomitigateemergencydepartmentandhospitalcrowdingduringaninfectiousrespiratorydiseaseoutbreakresultsfromanexpertpanel AT mortonmelinda interventionstomitigateemergencydepartmentandhospitalcrowdingduringaninfectiousrespiratorydiseaseoutbreakresultsfromanexpertpanel AT beardraphaelle interventionstomitigateemergencydepartmentandhospitalcrowdingduringaninfectiousrespiratorydiseaseoutbreakresultsfromanexpertpanel AT pinesjessem interventionstomitigateemergencydepartmentandhospitalcrowdingduringaninfectiousrespiratorydiseaseoutbreakresultsfromanexpertpanel AT bayramjamild interventionstomitigateemergencydepartmentandhospitalcrowdingduringaninfectiousrespiratorydiseaseoutbreakresultsfromanexpertpanel AT hsiehyuhsiang interventionstomitigateemergencydepartmentandhospitalcrowdingduringaninfectiousrespiratorydiseaseoutbreakresultsfromanexpertpanel AT kelengabor interventionstomitigateemergencydepartmentandhospitalcrowdingduringaninfectiousrespiratorydiseaseoutbreakresultsfromanexpertpanel AT uscherpineslori interventionstomitigateemergencydepartmentandhospitalcrowdingduringaninfectiousrespiratorydiseaseoutbreakresultsfromanexpertpanel AT jengkevin interventionstomitigateemergencydepartmentandhospitalcrowdingduringaninfectiousrespiratorydiseaseoutbreakresultsfromanexpertpanel AT colegai interventionstomitigateemergencydepartmentandhospitalcrowdingduringaninfectiousrespiratorydiseaseoutbreakresultsfromanexpertpanel AT rothmanrichard interventionstomitigateemergencydepartmentandhospitalcrowdingduringaninfectiousrespiratorydiseaseoutbreakresultsfromanexpertpanel |