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识别医疗资源供需的空间匹配和承载能力:以中国深圳为例。

Identifying Spatial Matching between the Supply and Demand of Medical Resource and Accessing Carrying Capacity: A Case Study of Shenzhen, China.

机构信息

Peking University (Shenzhen) Laboratory for Urban Future, School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China.

Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.

出版信息

Int J Environ Res Public Health. 2022 Feb 18;19(4):2354. doi: 10.3390/ijerph19042354.

Abstract

Previous Studies, such as the evaluation of the supply of and demand for regional medical resources and carrying capacity assessments, require further development. This paper aims to evaluate the carrying capacity and spatial distribution of medical resources in Shenzhen from the perspective of supply and demand, and to conduct a time-series variation of the coupling coordination degree from 1986 to 2019. The two-step floating catchment area method was employed to quantify the carrying capacity and coupling coordination degree method and spatial autocorrelation analysis were applied to analyze spatial distribution between supply and demand. The results were as follows. (1) The carrying capacity index in more than 50% of the districts was classified as low-grade. The percentage of regions with good grades was 8.27%. The regions with a high carrying capacity were distributed in the central and southeastern areas. (2) The coupling coordination continued to rise, increasing from 0.03397 in 1986 to 0.33627 in 2019. (3) The level of supply and demand for medical resources in Shenzhen increased from 1986 to 2019, and the highest degree of compatibility between the supply and the population size was largely concentrated in the western and eastern regions. This research can provide a theoretical reference for Shenzhen to rationally plan medical resources and improve the carrying capacity of medical resources.

摘要

先前的研究,如区域医疗资源供需供给和需求评估等,尚需进一步发展。本文旨在从供需角度评估深圳市医疗资源的承载能力和空间分布,并对 1986 年至 2019 年的耦合协调度进行时间序列变化分析。采用两步浮动集水区法量化承载能力,采用耦合协调度方法和空间自相关分析来分析供需之间的空间分布。结果表明:(1)超过 50%的区的承载能力指数被归类为低等级,良好等级的区比例为 8.27%,承载能力较高的地区分布在中东部地区;(2)耦合协调度持续上升,从 1986 年的 0.03397 增加到 2019 年的 0.33627;(3)深圳的医疗资源供给和需求水平从 1986 年到 2019 年有所提高,人口规模与供给之间的最高兼容性程度主要集中在西部和东部地区。本研究可为深圳市合理规划医疗资源和提高医疗资源承载能力提供理论参考。

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