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Modeling population access to New Zealand public hospitals

This paper demonstrates a method for estimating the geographical accessibility of public hospitals. Cost path analysis was used to determine the minimum travel time and distance to the closest hospital via a road network. This analysis was applied to 38,000 census enumeration district centroids in N...

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Detalles Bibliográficos
Autores principales: Brabyn, Lars, Skelly, Chris
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2002
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC149398/
https://www.ncbi.nlm.nih.gov/pubmed/12459048
http://dx.doi.org/10.1186/1476-072X-1-3
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author Brabyn, Lars
Skelly, Chris
author_facet Brabyn, Lars
Skelly, Chris
author_sort Brabyn, Lars
collection PubMed
description This paper demonstrates a method for estimating the geographical accessibility of public hospitals. Cost path analysis was used to determine the minimum travel time and distance to the closest hospital via a road network. This analysis was applied to 38,000 census enumeration district centroids in New Zealand allowing geographical access to be linked to local populations. Average time and distance statistics have been calculated for local populations by modeling the total travel of a population if everybody visited a hospital once. These types of statistics can be generated for different population groups and enable comparisons to be made between regions. This study has shown that the northern and southern parts of New Zealand have high average travel times to hospital services.
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spelling pubmed-1493982003-02-25 Modeling population access to New Zealand public hospitals Brabyn, Lars Skelly, Chris Int J Health Geogr Research This paper demonstrates a method for estimating the geographical accessibility of public hospitals. Cost path analysis was used to determine the minimum travel time and distance to the closest hospital via a road network. This analysis was applied to 38,000 census enumeration district centroids in New Zealand allowing geographical access to be linked to local populations. Average time and distance statistics have been calculated for local populations by modeling the total travel of a population if everybody visited a hospital once. These types of statistics can be generated for different population groups and enable comparisons to be made between regions. This study has shown that the northern and southern parts of New Zealand have high average travel times to hospital services. BioMed Central 2002-11-12 /pmc/articles/PMC149398/ /pubmed/12459048 http://dx.doi.org/10.1186/1476-072X-1-3 Text en Copyright © 2002 Brabyn and Skelly; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research
Brabyn, Lars
Skelly, Chris
Modeling population access to New Zealand public hospitals
title Modeling population access to New Zealand public hospitals
title_full Modeling population access to New Zealand public hospitals
title_fullStr Modeling population access to New Zealand public hospitals
title_full_unstemmed Modeling population access to New Zealand public hospitals
title_short Modeling population access to New Zealand public hospitals
title_sort modeling population access to new zealand public hospitals
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC149398/
https://www.ncbi.nlm.nih.gov/pubmed/12459048
http://dx.doi.org/10.1186/1476-072X-1-3
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