An analytical approach to assessing the spatial equity and allocation of healthcare resources in Shanghai

Hong-Yan Li , Jing Guo, Chuang-Hao Yang
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Abstract

The rational allocation of healthcare resources is vital for establishing a healthcare system that aligns with the levels of economic and social development. As a comprehensive discipline integrating geography, cartography, remote sensing, and computer science, Geographic Information System (GIS) can visualize and analyze spatial information through mapping. By utilizing GIS's statistical analysis and data visualization functions, this study provides a more efficient and intuitive analysis of Shanghai's spatial healthcare resource allocation and a more comprehensive assessment of its current allocation status. To examine the spatial correlation and spatial proximity, we apply the Global Moran Index (Moran's I), the Local Indicators of Spatial Association (LISA) test, and Hot Spot Analysis (Getis-Ord Gi∗) for assessment. Furthermore, by utilizing the Lorenz curve and Gini coefficient, this study provides a new perspective by expanding the measurement dimensions for assessing healthcare resource allocation in Shanghai. The results show that: From the global spatial correlation perspective, the allocation of healthcare resources in Shanghai exhibits spatial clustering. From the local spatial correlation perspective, healthcare resources in Shanghai show significant regional disparities, with resources concentrated in central urban areas. And from a multidimensional perspective, the equity of allocation of healthcare resources in Shanghai in 2022 was higher when measured by population (0.298 ± 0.063) and economy (0.292 ± 0.027) than by geographic area (0.612 ± 0.100) and green spaces (0.590 ± 0.110) of the Gini coefficient. These findings offer valuable insights for promoting the structural optimization and spatial distribution of healthcare resources in Shanghai.
上海市卫生资源空间公平与配置分析方法
合理配置医疗卫生资源,是建立与经济社会发展水平相适应的医疗卫生体系的关键。地理信息系统(Geographic Information System, GIS)是一门集地理学、地图学、遥感学和计算机科学于一体的综合性学科,它能够通过制图实现空间信息的可视化和分析。本研究利用GIS的统计分析和数据可视化功能,对上海市空间卫生资源配置进行了更高效、直观的分析,并对其配置现状进行了更全面的评估。为了检验空间相关性和空间接近性,我们应用全球Moran指数(Moran's I)、空间关联局部指标(LISA)测试和热点分析(Getis-Ord Gi∗)进行评估。此外,本研究运用Lorenz曲线和基尼系数,拓展了上海市卫生资源配置的测量维度,为评估上海市卫生资源配置提供了新的视角。结果表明:从全球空间关联角度看,上海市卫生资源配置呈现空间集聚性;从区域空间关联角度看,上海市卫生资源存在显著的区域差异,资源集中在中心城区。从多维度看,以人口(0.298±0.063)和经济(0.292±0.027)衡量的2022年上海市卫生资源配置公平性高于以地理面积(0.612±0.100)和绿地(0.590±0.110)衡量的基尼系数。研究结果对促进上海市卫生资源的结构优化和空间布局具有重要的参考价值。
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来源期刊
Healthcare analytics (New York, N.Y.)
Healthcare analytics (New York, N.Y.) Applied Mathematics, Modelling and Simulation, Nursing and Health Professions (General)
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
79 days
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