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Modelling optimal location for pre-hospital helicopter emergency medical services

BACKGROUND: Increasing the range and scope of early activation/auto launch helicopter emergency medical services (HEMS) may alleviate unnecessary injury mortality that disproportionately affects rural populations. To date, attempts to develop a quantitative framework for the optimal location of HEMS...

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Detalles Bibliográficos
Autores principales: Schuurman, Nadine, Bell, Nathaniel J, L'Heureux, Randy, Hameed, Syed M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685410/
https://www.ncbi.nlm.nih.gov/pubmed/19426532
http://dx.doi.org/10.1186/1471-227X-9-6
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author Schuurman, Nadine
Bell, Nathaniel J
L'Heureux, Randy
Hameed, Syed M
author_facet Schuurman, Nadine
Bell, Nathaniel J
L'Heureux, Randy
Hameed, Syed M
author_sort Schuurman, Nadine
collection PubMed
description BACKGROUND: Increasing the range and scope of early activation/auto launch helicopter emergency medical services (HEMS) may alleviate unnecessary injury mortality that disproportionately affects rural populations. To date, attempts to develop a quantitative framework for the optimal location of HEMS facilities have been absent. METHODS: Our analysis used five years of critical care data from tertiary health care facilities, spatial data on origin of transport and accurate road travel time catchments for tertiary centres. A location optimization model was developed to identify where the expansion of HEMS would cover the greatest population among those currently underserved. The protocol was developed using geographic information systems (GIS) to measure populations, distances and accessibility to services. RESULTS: Our model determined Royal Inland Hospital (RIH) was the optimal site for an expanded HEMS – based on denominator population, distance to services and historical usage patterns. CONCLUSION: GIS based protocols for location of emergency medical resources can provide supportive evidence for allocation decisions – especially when resources are limited. In this study, we were able to demonstrate conclusively that a logical choice exists for location of additional HEMS. This protocol could be extended to location analysis for other emergency and health services.
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spelling pubmed-26854102009-05-22 Modelling optimal location for pre-hospital helicopter emergency medical services Schuurman, Nadine Bell, Nathaniel J L'Heureux, Randy Hameed, Syed M BMC Emerg Med Research Article BACKGROUND: Increasing the range and scope of early activation/auto launch helicopter emergency medical services (HEMS) may alleviate unnecessary injury mortality that disproportionately affects rural populations. To date, attempts to develop a quantitative framework for the optimal location of HEMS facilities have been absent. METHODS: Our analysis used five years of critical care data from tertiary health care facilities, spatial data on origin of transport and accurate road travel time catchments for tertiary centres. A location optimization model was developed to identify where the expansion of HEMS would cover the greatest population among those currently underserved. The protocol was developed using geographic information systems (GIS) to measure populations, distances and accessibility to services. RESULTS: Our model determined Royal Inland Hospital (RIH) was the optimal site for an expanded HEMS – based on denominator population, distance to services and historical usage patterns. CONCLUSION: GIS based protocols for location of emergency medical resources can provide supportive evidence for allocation decisions – especially when resources are limited. In this study, we were able to demonstrate conclusively that a logical choice exists for location of additional HEMS. This protocol could be extended to location analysis for other emergency and health services. BioMed Central 2009-05-09 /pmc/articles/PMC2685410/ /pubmed/19426532 http://dx.doi.org/10.1186/1471-227X-9-6 Text en Copyright © 2009 Schuurman et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Schuurman, Nadine
Bell, Nathaniel J
L'Heureux, Randy
Hameed, Syed M
Modelling optimal location for pre-hospital helicopter emergency medical services
title Modelling optimal location for pre-hospital helicopter emergency medical services
title_full Modelling optimal location for pre-hospital helicopter emergency medical services
title_fullStr Modelling optimal location for pre-hospital helicopter emergency medical services
title_full_unstemmed Modelling optimal location for pre-hospital helicopter emergency medical services
title_short Modelling optimal location for pre-hospital helicopter emergency medical services
title_sort modelling optimal location for pre-hospital helicopter emergency medical services
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685410/
https://www.ncbi.nlm.nih.gov/pubmed/19426532
http://dx.doi.org/10.1186/1471-227X-9-6
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