Coupling coordination degree of healthcare resource supply, demand and elderly population change in China.

IF 4.5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Mengyuan Ma, Leiyu Shi, Wanzhen Xie, Qiuli Zhu, Junqing Luo, Shengwu Liao, Oudong Xia, Gang Sun
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Abstract

Object: To analyze the trend of the coupling and coordination of the supply and demand of healthcare resources between the elderly population and healthcare resources in China during the period of 2012-2022, to reveal the impact of the growth of the elderly population on the relationship between the supply and demand of healthcare resources, and to put forward suggestions to improve the coupling and coordination between the supply and demand of healthcare resources and the elderly population, in order to cope with the challenges of an aging society.

Methods: By obtaining relevant data from authoritative data sources such as China Statistical Yearbook, Health and Health Statistics Yearbook, and the Chinese government website from 2012 to 2022, we constructed a comprehensive measurement index for the three systems of elderly population, healthcare resource supply, and healthcare resource demand; Using the entropy value method to assign weights to the indicators, combined with the coupling coordination degree model, to reveal the changes of the elderly population change and the supply and demand of medical and health resources; using ArcGIS technology, to study the spatial characteristics of the elderly population change and the supply and demand of medical and health resources.

Results: From 2012 to 2022, the supply and demand of healthcare resources and the variation of the elderly population in China show a continuous growth trend, and the comprehensive development level of the system gradually climbs from a low level to a high level. The fluctuation of coupling degree and coordination degree rises, although the coordination degree has always been lower than the coupling degree, but the distance between the coordination degree and the coupling degree gradually narrows with the passage of time. The coordination degree between population aging and medical and health resources development shows spatial heterogeneity in China, with the eastern region significantly higher than the western region/.

Conclusions: The coupling degree between population aging and healthcare resource supply and demand in China from 2012 to 2022 shows a general upward trend from low coupling to medium-high coupling, but it is worth noting that even though the degree of coupling increases, the degree of coordination is still relatively lagging behind, suggesting that the government and relevant departments need to pay more attention to coordinated allocation and management of healthcare resources. At the same time, the spatial differences in the degree of coordination among provinces suggest that future policymakers should take regional differences into full consideration in policymaking and sustainable development.

中国医疗资源供需与老年人口变化的耦合协调度。
目的分析2012-2022年中国老年人口与医疗卫生资源供需耦合与协调的变化趋势,揭示老年人口增长对医疗卫生资源供需关系的影响,提出改善医疗卫生资源供需与老年人口耦合与协调的建议,以应对老龄化社会的挑战:方法:从《中国统计年鉴》、《卫生与健康统计年鉴》、中国政府网等权威数据源获取2012-2022年相关数据,构建老年人口、医疗卫生资源供给、医疗卫生资源需求三大系统的综合测度指标;利用熵值法对指标赋权,结合耦合协调度模型,揭示老年人口变化与医疗卫生资源供需关系的变化;利用ArcGIS技术,研究老年人口变化与医疗卫生资源供需关系的空间特征。研究结果2012-2022年,我国医疗卫生资源供需与老年人口变化呈持续增长趋势,系统综合发展水平由低水平逐步向高水平攀升。耦合度与协调度波动上升,虽然协调度一直低于耦合度,但随着时间的推移,协调度与耦合度之间的距离逐渐缩小。中国人口老龄化与医疗卫生资源发展的协调度呈现空间异质性,东部地区明显高于西部地区/:2012-2022年中国人口老龄化与医疗卫生资源供需耦合度总体呈现由低耦合到中高耦合的上升趋势,但值得注意的是,即使耦合度上升,协调度仍相对滞后,表明政府及相关部门需要更加重视医疗卫生资源的协调配置和管理。同时,各省协调程度的空间差异也表明,未来决策者在制定政策和可持续发展时应充分考虑地区差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.80
自引率
4.20%
发文量
162
审稿时长
28 weeks
期刊介绍: International Journal for Equity in Health is an Open Access, peer-reviewed, online journal presenting evidence relevant to the search for, and attainment of, equity in health across and within countries. International Journal for Equity in Health aims to improve the understanding of issues that influence the health of populations. This includes the discussion of political, policy-related, economic, social and health services-related influences, particularly with regard to systematic differences in distributions of one or more aspects of health in population groups defined demographically, geographically, or socially.
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