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Modelling Potential Geographical Access of the Population to Public Hospitals and Quality Health Care in Romania
The geographical accessibility to hospitals relies on the configuration of the hospital network, spatial impedance and population distribution. This paper explores the potential geographic accessibility of the population to public hospitals in Romania by using the Distance Application Program Interf...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696721/ https://www.ncbi.nlm.nih.gov/pubmed/33207761 http://dx.doi.org/10.3390/ijerph17228487 |
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author | Dumitrache, Liliana Nae, Mariana Simion, Gabriel Taloș, Ana-Maria |
author_facet | Dumitrache, Liliana Nae, Mariana Simion, Gabriel Taloș, Ana-Maria |
author_sort | Dumitrache, Liliana |
collection | PubMed |
description | The geographical accessibility to hospitals relies on the configuration of the hospital network, spatial impedance and population distribution. This paper explores the potential geographic accessibility of the population to public hospitals in Romania by using the Distance Application Program Interface (API) Matrix service from Google Maps and open data sources. Based on real-time traffic navigation data, we examined the potential accessibility of hospitals through a weighted model that took into account the hospital competency level and travel time while using personal car transportation mode. Two scenarios were generated that depend on hospitals’ level of competency (I–V). When considering all categories of hospitals, access is relatively good with over 80% of the population reaching hospitals in less than 30 min. This is much lower in the case of hospitals that provide complex care, with 34% of the population travelling between 90 to 120 min to the nearest hospital classed in the first or second category of competence. The index of spatial accessibility (ISA), calculated as a function of real travel time and level of competency of the hospitals, shows spatial patterns of services access that highlight regional disparities or critical areas. The high concentration of infrastructure and specialised medical personnel in particular regions and large cities limits the access of a large part of the population to quality health services with travel time and distances exceeding optimal European level values. The results can help decision-makers to optimise the location of health services and improve health care delivery. |
format | Online Article Text |
id | pubmed-7696721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76967212020-11-29 Modelling Potential Geographical Access of the Population to Public Hospitals and Quality Health Care in Romania Dumitrache, Liliana Nae, Mariana Simion, Gabriel Taloș, Ana-Maria Int J Environ Res Public Health Article The geographical accessibility to hospitals relies on the configuration of the hospital network, spatial impedance and population distribution. This paper explores the potential geographic accessibility of the population to public hospitals in Romania by using the Distance Application Program Interface (API) Matrix service from Google Maps and open data sources. Based on real-time traffic navigation data, we examined the potential accessibility of hospitals through a weighted model that took into account the hospital competency level and travel time while using personal car transportation mode. Two scenarios were generated that depend on hospitals’ level of competency (I–V). When considering all categories of hospitals, access is relatively good with over 80% of the population reaching hospitals in less than 30 min. This is much lower in the case of hospitals that provide complex care, with 34% of the population travelling between 90 to 120 min to the nearest hospital classed in the first or second category of competence. The index of spatial accessibility (ISA), calculated as a function of real travel time and level of competency of the hospitals, shows spatial patterns of services access that highlight regional disparities or critical areas. The high concentration of infrastructure and specialised medical personnel in particular regions and large cities limits the access of a large part of the population to quality health services with travel time and distances exceeding optimal European level values. The results can help decision-makers to optimise the location of health services and improve health care delivery. MDPI 2020-11-16 2020-11 /pmc/articles/PMC7696721/ /pubmed/33207761 http://dx.doi.org/10.3390/ijerph17228487 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dumitrache, Liliana Nae, Mariana Simion, Gabriel Taloș, Ana-Maria Modelling Potential Geographical Access of the Population to Public Hospitals and Quality Health Care in Romania |
title | Modelling Potential Geographical Access of the Population to Public Hospitals and Quality Health Care in Romania |
title_full | Modelling Potential Geographical Access of the Population to Public Hospitals and Quality Health Care in Romania |
title_fullStr | Modelling Potential Geographical Access of the Population to Public Hospitals and Quality Health Care in Romania |
title_full_unstemmed | Modelling Potential Geographical Access of the Population to Public Hospitals and Quality Health Care in Romania |
title_short | Modelling Potential Geographical Access of the Population to Public Hospitals and Quality Health Care in Romania |
title_sort | modelling potential geographical access of the population to public hospitals and quality health care in romania |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696721/ https://www.ncbi.nlm.nih.gov/pubmed/33207761 http://dx.doi.org/10.3390/ijerph17228487 |
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