Cargando…

Reducing Ambulance Diversion at Hospital and Regional Levels: Systemic Review of Insights from Simulation Models

INTRODUCTION: Optimal solutions for reducing diversion without worsening emergency department (ED) crowding are unclear. We performed a systematic review of published simulation studies to identify: 1) the tradeoff between ambulance diversion and ED wait times; 2) the predicted impact of patient flo...

Descripción completa

Detalles Bibliográficos
Autores principales: Delgado, M. Kit, Meng, Lesley J., Mercer, Mary P., Pines, Jesse M., Owens, Douglas K., Zaric, Gregory S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Department of Emergency Medicine, University of California, Irvine School of Medicine 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3789914/
https://www.ncbi.nlm.nih.gov/pubmed/24106548
http://dx.doi.org/10.5811/westjem.2013.3.12788
_version_ 1782286522134822912
author Delgado, M. Kit
Meng, Lesley J.
Mercer, Mary P.
Pines, Jesse M.
Owens, Douglas K.
Zaric, Gregory S.
author_facet Delgado, M. Kit
Meng, Lesley J.
Mercer, Mary P.
Pines, Jesse M.
Owens, Douglas K.
Zaric, Gregory S.
author_sort Delgado, M. Kit
collection PubMed
description INTRODUCTION: Optimal solutions for reducing diversion without worsening emergency department (ED) crowding are unclear. We performed a systematic review of published simulation studies to identify: 1) the tradeoff between ambulance diversion and ED wait times; 2) the predicted impact of patient flow interventions on reducing diversion; and 3) the optimal regional strategy for reducing diversion. METHODS: Data Sources: Systematic review of articles using MEDLINE, Inspec, Scopus. Additional studies identified through bibliography review, Google Scholar, and scientific conference proceedings. Study Selection: Only simulations modeling ambulance diversion as a result of ED crowding or inpatient capacity problems were included. Data extraction: Independent extraction by two authors using predefined data fields. RESULTS: We identified 5,116 potentially relevant records; 10 studies met inclusion criteria. In models that quantified the relationship between ED throughput times and diversion, diversion was found to only minimally improve ED waiting room times. Adding holding units for inpatient boarders and ED-based fast tracks, improving lab turnaround times, and smoothing elective surgery caseloads were found to reduce diversion considerably. While two models found a cooperative agreement between hospitals is necessary to prevent defensive diversion behavior by a hospital when a nearby hospital goes on diversion, one model found there may be more optimal solutions for reducing region wide wait times than a regional ban on diversion. CONCLUSION: Smoothing elective surgery caseloads, adding ED fast tracks as well as holding units for inpatient boarders, improving ED lab turnaround times, and implementing regional cooperative agreements among hospitals are promising avenues for reducing diversion.
format Online
Article
Text
id pubmed-3789914
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Department of Emergency Medicine, University of California, Irvine School of Medicine
record_format MEDLINE/PubMed
spelling pubmed-37899142013-10-08 Reducing Ambulance Diversion at Hospital and Regional Levels: Systemic Review of Insights from Simulation Models Delgado, M. Kit Meng, Lesley J. Mercer, Mary P. Pines, Jesse M. Owens, Douglas K. Zaric, Gregory S. West J Emerg Med Prehospital Care INTRODUCTION: Optimal solutions for reducing diversion without worsening emergency department (ED) crowding are unclear. We performed a systematic review of published simulation studies to identify: 1) the tradeoff between ambulance diversion and ED wait times; 2) the predicted impact of patient flow interventions on reducing diversion; and 3) the optimal regional strategy for reducing diversion. METHODS: Data Sources: Systematic review of articles using MEDLINE, Inspec, Scopus. Additional studies identified through bibliography review, Google Scholar, and scientific conference proceedings. Study Selection: Only simulations modeling ambulance diversion as a result of ED crowding or inpatient capacity problems were included. Data extraction: Independent extraction by two authors using predefined data fields. RESULTS: We identified 5,116 potentially relevant records; 10 studies met inclusion criteria. In models that quantified the relationship between ED throughput times and diversion, diversion was found to only minimally improve ED waiting room times. Adding holding units for inpatient boarders and ED-based fast tracks, improving lab turnaround times, and smoothing elective surgery caseloads were found to reduce diversion considerably. While two models found a cooperative agreement between hospitals is necessary to prevent defensive diversion behavior by a hospital when a nearby hospital goes on diversion, one model found there may be more optimal solutions for reducing region wide wait times than a regional ban on diversion. CONCLUSION: Smoothing elective surgery caseloads, adding ED fast tracks as well as holding units for inpatient boarders, improving ED lab turnaround times, and implementing regional cooperative agreements among hospitals are promising avenues for reducing diversion. Department of Emergency Medicine, University of California, Irvine School of Medicine 2013-09 /pmc/articles/PMC3789914/ /pubmed/24106548 http://dx.doi.org/10.5811/westjem.2013.3.12788 Text en Copyright © 2013 the authors. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Prehospital Care
Delgado, M. Kit
Meng, Lesley J.
Mercer, Mary P.
Pines, Jesse M.
Owens, Douglas K.
Zaric, Gregory S.
Reducing Ambulance Diversion at Hospital and Regional Levels: Systemic Review of Insights from Simulation Models
title Reducing Ambulance Diversion at Hospital and Regional Levels: Systemic Review of Insights from Simulation Models
title_full Reducing Ambulance Diversion at Hospital and Regional Levels: Systemic Review of Insights from Simulation Models
title_fullStr Reducing Ambulance Diversion at Hospital and Regional Levels: Systemic Review of Insights from Simulation Models
title_full_unstemmed Reducing Ambulance Diversion at Hospital and Regional Levels: Systemic Review of Insights from Simulation Models
title_short Reducing Ambulance Diversion at Hospital and Regional Levels: Systemic Review of Insights from Simulation Models
title_sort reducing ambulance diversion at hospital and regional levels: systemic review of insights from simulation models
topic Prehospital Care
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3789914/
https://www.ncbi.nlm.nih.gov/pubmed/24106548
http://dx.doi.org/10.5811/westjem.2013.3.12788
work_keys_str_mv AT delgadomkit reducingambulancediversionathospitalandregionallevelssystemicreviewofinsightsfromsimulationmodels
AT menglesleyj reducingambulancediversionathospitalandregionallevelssystemicreviewofinsightsfromsimulationmodels
AT mercermaryp reducingambulancediversionathospitalandregionallevelssystemicreviewofinsightsfromsimulationmodels
AT pinesjessem reducingambulancediversionathospitalandregionallevelssystemicreviewofinsightsfromsimulationmodels
AT owensdouglask reducingambulancediversionathospitalandregionallevelssystemicreviewofinsightsfromsimulationmodels
AT zaricgregorys reducingambulancediversionathospitalandregionallevelssystemicreviewofinsightsfromsimulationmodels