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Quantitative Evaluation of Spatial Accessibility of Various Urban Medical Services Based on Big Data of Outpatient Appointments

Equity of urban medical services affects human health and well-being in cities and is important in building ‘just’ cities. We carried out a quantitative analysis of the spatial accessibility of medical services considering the diverse demands of people of different ages, using outpatient appointment...

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Autores principales: Sui, Jinling, Zhang, Guoqin, Lin, Tao, Hamm, Nicholas A. S., Li, Chunlin, Wu, Xian, Hu, Kaiqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048955/
https://www.ncbi.nlm.nih.gov/pubmed/36981964
http://dx.doi.org/10.3390/ijerph20065050
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author Sui, Jinling
Zhang, Guoqin
Lin, Tao
Hamm, Nicholas A. S.
Li, Chunlin
Wu, Xian
Hu, Kaiqun
author_facet Sui, Jinling
Zhang, Guoqin
Lin, Tao
Hamm, Nicholas A. S.
Li, Chunlin
Wu, Xian
Hu, Kaiqun
author_sort Sui, Jinling
collection PubMed
description Equity of urban medical services affects human health and well-being in cities and is important in building ‘just’ cities. We carried out a quantitative analysis of the spatial accessibility of medical services considering the diverse demands of people of different ages, using outpatient appointment big data and refining the two-step floating catchment area (2SFCA) method. We used the traditional 2SFCA method to evaluate the overall spatial accessibility of medical services of 504 communities in Xiamen city, considering the total population and the supply of medical resources. Approximately half the communities had good access to medical services. The communities with high accessibility were mainly on Xiamen Island, and those with low accessibility were further from the central city. The refined 2SFCA method showed a more diverse and complex spatial distribution of accessibility to medical services. Overall, 209 communities had high accessibility to internal medicine services, 133 to surgery services, 50 to gynecology and obstetrics services, and 18 to pediatric services. The traditional method may over-evaluate or under-evaluate the accessibility of different types of medical services for most communities compared with the refined evaluation method. Our study can provide more precise information on urban medical service spatial accessibility to support just city development and design.
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spelling pubmed-100489552023-03-29 Quantitative Evaluation of Spatial Accessibility of Various Urban Medical Services Based on Big Data of Outpatient Appointments Sui, Jinling Zhang, Guoqin Lin, Tao Hamm, Nicholas A. S. Li, Chunlin Wu, Xian Hu, Kaiqun Int J Environ Res Public Health Article Equity of urban medical services affects human health and well-being in cities and is important in building ‘just’ cities. We carried out a quantitative analysis of the spatial accessibility of medical services considering the diverse demands of people of different ages, using outpatient appointment big data and refining the two-step floating catchment area (2SFCA) method. We used the traditional 2SFCA method to evaluate the overall spatial accessibility of medical services of 504 communities in Xiamen city, considering the total population and the supply of medical resources. Approximately half the communities had good access to medical services. The communities with high accessibility were mainly on Xiamen Island, and those with low accessibility were further from the central city. The refined 2SFCA method showed a more diverse and complex spatial distribution of accessibility to medical services. Overall, 209 communities had high accessibility to internal medicine services, 133 to surgery services, 50 to gynecology and obstetrics services, and 18 to pediatric services. The traditional method may over-evaluate or under-evaluate the accessibility of different types of medical services for most communities compared with the refined evaluation method. Our study can provide more precise information on urban medical service spatial accessibility to support just city development and design. MDPI 2023-03-13 /pmc/articles/PMC10048955/ /pubmed/36981964 http://dx.doi.org/10.3390/ijerph20065050 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sui, Jinling
Zhang, Guoqin
Lin, Tao
Hamm, Nicholas A. S.
Li, Chunlin
Wu, Xian
Hu, Kaiqun
Quantitative Evaluation of Spatial Accessibility of Various Urban Medical Services Based on Big Data of Outpatient Appointments
title Quantitative Evaluation of Spatial Accessibility of Various Urban Medical Services Based on Big Data of Outpatient Appointments
title_full Quantitative Evaluation of Spatial Accessibility of Various Urban Medical Services Based on Big Data of Outpatient Appointments
title_fullStr Quantitative Evaluation of Spatial Accessibility of Various Urban Medical Services Based on Big Data of Outpatient Appointments
title_full_unstemmed Quantitative Evaluation of Spatial Accessibility of Various Urban Medical Services Based on Big Data of Outpatient Appointments
title_short Quantitative Evaluation of Spatial Accessibility of Various Urban Medical Services Based on Big Data of Outpatient Appointments
title_sort quantitative evaluation of spatial accessibility of various urban medical services based on big data of outpatient appointments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048955/
https://www.ncbi.nlm.nih.gov/pubmed/36981964
http://dx.doi.org/10.3390/ijerph20065050
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