Abstract
This study used the two-step floating catchment area method and potential model to calculate facility accessibility and potential service scope of public health infrastructure distribution, and to evaluate its spatial equity. We applied the Gini coefficient to measure the spatial equilibrium at each level of public health infrastructure in Doumen District, Guangdong, China, from different perspectives. The following results were obtained: (1) Significant spatial differences were observed in the accessibility of public health facilities among different levels; the higher the health facility level, the greater the difference in spatial accessibility. Spatial differences in the accessibility of public health infrastructure at the primary level and higher were distributed in a block-like pattern, while spatial differences in the accessibility of rural health stations were distributed in a circular pattern. Administrative villages tended to have the highest and lowest accessibility of tertiary and secondary hospitals, but not of primary hospitals and rural health stations. The frequencies for administrative villages with the highest and lowest accessibility were 32.8% and 49.6% of the total number of villages in the district, respectively, for tertiary hospitals; 39.2% and 48.8% for secondary hospitals; 19.2% and 24.8% for primary hospitals; 16.8% and 21.6% for rural health stations. (2) The potential service scope was spatially dissociative for tertiary hospitals, and differed more significantly in terms of space for secondary hospitals; the potential service scope of the two overlapped. The potential service scope of primary hospitals was relatively balanced, with strong spatial continuity, while that of rural health service centers was spatially fragmented. The service scope of rural health service centers was mostly consistent with their respective village-level administrative divisions. (3) The higher the level of public health infrastructure, the less balanced its spatial layout. Conversely, the lower the level of public health infrastructure, the more balanced its spatial layout.
Highlights
Public health infrastructure refers to medical institutions aimed at ensuring the health needs of the public and are compatible with social and economic development.International research on public health service facilities primarily focuses on four areas.(1) Hospitals’ service quality and patients’ satisfaction with medical services provided in health facilities, evaluated by performing structural equation modeling, computing correlation coefficients between hospital service quality and patients’ willingness to pay, and assessing the effect of the management system of the medical facilities on service quality [1,2,3]. (2) The impact of the spatial layout of healthcare facilities on residents, including exploring its impact on the accessibility of public health services for rural residents in Australia through GIS
The spatial accessibility of different levels of hospitals in Doumen District was calculated by the two-step floating catchment area (2SFCA) method, and the accessibility of different levels of medical facilities was classified into five levels: highest, high, moderate, low, and lowest by using the Jenks Natural Breaks method in ArcGIS
(2), andarea their distribution the cenmodel to southern explore the accessibility of multi-level public health and itsThe potentral and towns, these areas have higher access to infrastructure tertiary hospitals
Summary
Public health infrastructure refers to medical institutions aimed at ensuring the health needs of the public and are compatible with social and economic development.International research on public health service facilities primarily focuses on four areas.(1) Hospitals’ service quality and patients’ satisfaction with medical services provided in health facilities, evaluated by performing structural equation modeling, computing correlation coefficients between hospital service quality and patients’ willingness to pay, and assessing the effect of the management system of the medical facilities on service quality [1,2,3]. (2) The impact of the spatial layout of healthcare facilities on residents, including exploring its impact on the accessibility of public health services for rural residents in Australia through GIS. (2) The impact of the spatial layout of healthcare facilities on residents, including exploring its impact on the accessibility of public health services for rural residents in Australia through GIS. A need for comparative study of the temporal changes in the accessibility of public health services for residents from different geographic and political backgrounds, and an assessment of the impact of the spatial distribution of medical resources on that of residents’ morbidity rate has been established [4,5,6,7]. (4) The impact of the spatial layout of medical facilities on social economics, comprising an evaluation of the impact of spatial equity changes in medical institutions for public health expenditure between. Previous studies mainly employed structural equation modeling, the DEMATEL method, logistic regression, geographically weighted regression, and geographic information system
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