Measuring the Differences of Public Health Service Facilities and Their Influencing Factors

The equitable distribution of public health facilities is a major concern of urban planners. Previous studies have explored the balance and fairness of various medical resource distributions using the accessibility of in-demand public medical service facilities while ignoring the differences in the...

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Autores principales:	Shihang Fu, Yaolin Liu, Ying Fang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	public health service facilities influencing factors geographically weighted regression GIS accessibility Agriculture S
Acceso en línea:	https://doaj.org/article/31712badd96a4fb7863bac7ebd427b8d
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spelling	oai:doaj.org-article:31712badd96a4fb7863bac7ebd427b8d2021-11-25T18:09:48ZMeasuring the Differences of Public Health Service Facilities and Their Influencing Factors10.3390/land101112252073-445Xhttps://doaj.org/article/31712badd96a4fb7863bac7ebd427b8d2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-445X/10/11/1225https://doaj.org/toc/2073-445XThe equitable distribution of public health facilities is a major concern of urban planners. Previous studies have explored the balance and fairness of various medical resource distributions using the accessibility of in-demand public medical service facilities while ignoring the differences in the supply of public medical service facilities. First aid data with location information and patient preference information can reflect the ability of each hospital and the health inequities in cities. Determining which factors affect the measured differences in public medical service facilities and how to alter these factors will help researchers formulate targeted policies to solve the current resource-balance situation of the Ministry of Public Health. In this study, we propose a method to measure the differences in influence among hospitals based on actual medical behavior and use geographically weighted regression (GWR) to analyze the spatial correlations among the location, medical equipment, medical ability, and influencing factors of each hospital. The results show that Wuhan presents obvious health inequality, with the high-grade hospitals having spatial agglomeration in the city-center area, while the number and quality of hospitals in the peripheral areas are lower than those in the central area; thus, the hospitals in these peripheral areas need to be further improved. The method used in this study can measure differences in the influence of public medical service facilities, and the results are consistent with the measured differences at hospital level. Hospital influence is not only related to the equipment and medical ability of each hospital but is also affected by location factors. This method illustrates the necessity of conducting more empirical research on the public medical service supply to provide a scientific basis for formulating targeted policies from a new perspective.Shihang FuYaolin LiuYing FangMDPI AGarticlepublic health service facilitiesinfluencing factorsgeographically weighted regressionGISaccessibilityAgricultureSENLand, Vol 10, Iss 1225, p 1225 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	public health service facilities influencing factors geographically weighted regression GIS accessibility Agriculture S
spellingShingle	public health service facilities influencing factors geographically weighted regression GIS accessibility Agriculture S Shihang Fu Yaolin Liu Ying Fang Measuring the Differences of Public Health Service Facilities and Their Influencing Factors
description	The equitable distribution of public health facilities is a major concern of urban planners. Previous studies have explored the balance and fairness of various medical resource distributions using the accessibility of in-demand public medical service facilities while ignoring the differences in the supply of public medical service facilities. First aid data with location information and patient preference information can reflect the ability of each hospital and the health inequities in cities. Determining which factors affect the measured differences in public medical service facilities and how to alter these factors will help researchers formulate targeted policies to solve the current resource-balance situation of the Ministry of Public Health. In this study, we propose a method to measure the differences in influence among hospitals based on actual medical behavior and use geographically weighted regression (GWR) to analyze the spatial correlations among the location, medical equipment, medical ability, and influencing factors of each hospital. The results show that Wuhan presents obvious health inequality, with the high-grade hospitals having spatial agglomeration in the city-center area, while the number and quality of hospitals in the peripheral areas are lower than those in the central area; thus, the hospitals in these peripheral areas need to be further improved. The method used in this study can measure differences in the influence of public medical service facilities, and the results are consistent with the measured differences at hospital level. Hospital influence is not only related to the equipment and medical ability of each hospital but is also affected by location factors. This method illustrates the necessity of conducting more empirical research on the public medical service supply to provide a scientific basis for formulating targeted policies from a new perspective.
format	article
author	Shihang Fu Yaolin Liu Ying Fang
author_facet	Shihang Fu Yaolin Liu Ying Fang
author_sort	Shihang Fu
title	Measuring the Differences of Public Health Service Facilities and Their Influencing Factors
title_short	Measuring the Differences of Public Health Service Facilities and Their Influencing Factors
title_full	Measuring the Differences of Public Health Service Facilities and Their Influencing Factors
title_fullStr	Measuring the Differences of Public Health Service Facilities and Their Influencing Factors
title_full_unstemmed	Measuring the Differences of Public Health Service Facilities and Their Influencing Factors
title_sort	measuring the differences of public health service facilities and their influencing factors
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/31712badd96a4fb7863bac7ebd427b8d
work_keys_str_mv	AT shihangfu measuringthedifferencesofpublichealthservicefacilitiesandtheirinfluencingfactors AT yaolinliu measuringthedifferencesofpublichealthservicefacilitiesandtheirinfluencingfactors AT yingfang measuringthedifferencesofpublichealthservicefacilitiesandtheirinfluencingfactors
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Measuring the Differences of Public Health Service Facilities and Their Influencing Factors

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