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Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China
Spatial accessibility to medical resources is an integral component of universal health coverage. However, research evaluating the spatial accessibility of healthcare services at the community level in China remains limited. We assessed the community-level spatial access to beds, doctors, and nurses...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352203/ https://www.ncbi.nlm.nih.gov/pubmed/30654500 http://dx.doi.org/10.3390/ijerph16020242 |
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author | Zhu, Lei Zhong, Shuang Tu, Wei Zheng, Jing He, Shenjing Bao, Junzhe Huang, Cunrui |
author_facet | Zhu, Lei Zhong, Shuang Tu, Wei Zheng, Jing He, Shenjing Bao, Junzhe Huang, Cunrui |
author_sort | Zhu, Lei |
collection | PubMed |
description | Spatial accessibility to medical resources is an integral component of universal health coverage. However, research evaluating the spatial accessibility of healthcare services at the community level in China remains limited. We assessed the community-level spatial access to beds, doctors, and nurses at general hospitals and identified the shortage areas in Shenzhen, one of the fastest growing cities in China. Based on hospital and population data from 2016, spatial accessibility was analyzed using several methods: shortest path analysis, Gini coefficient, and enhanced 2-step floating catchment area (E2SFCA). The study found that 99.9% of the residents in Shenzhen could get to the nearest general hospital within 30 min. Healthcare supply was much more equitable between populations than across communities in the city. E2SFCA scores showed that the communities with the best and worst hospital accessibility were found in the southwest and southeast of the city, respectively. State-owned public hospitals still dominated the medical resources supply market and there was a clear spatial accessibility disparity between private and public healthcare resources. The E2SFCA scores supplement more details about resource disparity over space than do crude provider-to-population ratios (PPR) and can help improve the efficiency of the distribution of medical resources. |
format | Online Article Text |
id | pubmed-6352203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63522032019-02-01 Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China Zhu, Lei Zhong, Shuang Tu, Wei Zheng, Jing He, Shenjing Bao, Junzhe Huang, Cunrui Int J Environ Res Public Health Article Spatial accessibility to medical resources is an integral component of universal health coverage. However, research evaluating the spatial accessibility of healthcare services at the community level in China remains limited. We assessed the community-level spatial access to beds, doctors, and nurses at general hospitals and identified the shortage areas in Shenzhen, one of the fastest growing cities in China. Based on hospital and population data from 2016, spatial accessibility was analyzed using several methods: shortest path analysis, Gini coefficient, and enhanced 2-step floating catchment area (E2SFCA). The study found that 99.9% of the residents in Shenzhen could get to the nearest general hospital within 30 min. Healthcare supply was much more equitable between populations than across communities in the city. E2SFCA scores showed that the communities with the best and worst hospital accessibility were found in the southwest and southeast of the city, respectively. State-owned public hospitals still dominated the medical resources supply market and there was a clear spatial accessibility disparity between private and public healthcare resources. The E2SFCA scores supplement more details about resource disparity over space than do crude provider-to-population ratios (PPR) and can help improve the efficiency of the distribution of medical resources. MDPI 2019-01-16 2019-01 /pmc/articles/PMC6352203/ /pubmed/30654500 http://dx.doi.org/10.3390/ijerph16020242 Text en © 2019 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 Zhu, Lei Zhong, Shuang Tu, Wei Zheng, Jing He, Shenjing Bao, Junzhe Huang, Cunrui Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China |
title | Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China |
title_full | Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China |
title_fullStr | Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China |
title_full_unstemmed | Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China |
title_short | Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China |
title_sort | assessing spatial accessibility to medical resources at the community level in shenzhen, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352203/ https://www.ncbi.nlm.nih.gov/pubmed/30654500 http://dx.doi.org/10.3390/ijerph16020242 |
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