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健康中国背景下的医学教育与卫生资源配置耦合测度研究。

Research on the coupling measurement of medical education and health resource allocation under the background of healthy China.

机构信息

The School of Medicine, Shihezi University, Shihezi, 832003, China.

The School of Medicine, The Academy of Education, Xinjiang Normal University, Urumqi, 830054, China.

出版信息

BMC Med Educ. 2024 Aug 12;24(1):863. doi: 10.1186/s12909-024-05766-8.

Abstract

OBJECTIVE

To analyze the coupling and coordination level of medical education and health resource allocation in China, and to provide scientific basis for promoting the high-quality development of medical education and the efficient allocation of health resources.

METHODS

Based on the panel data from 2011 to 2021, the coupling coordination degree model was used to measure the coupling coordination index of medical education and health resources in China. The spatial auto-correlation model was used to analyze the development status and distribution characteristics of the coupling coordination degree of the two systems. The kernel density estimation method was used to analyze the dynamic evolution trend of the coupling coordination of the two systems. The QR quantile regression model was used to explore the key factors affecting the coupling coordination degree of the two systems.

RESULTS

During the observation period, the coupling coordination degree of the two systems increased from 0.393 to 0.465, with a growth rate of 18.3%. The coupling coordination degree between regions gradually decreased in the eastern-central and eastern-western regions, and there were still large differences between the central and western regions. The coupling coordination degree of the two systems in the region was significantly different in the eastern and western regions, and the central region was relatively similar. There is a positive spatial correlation between the provinces, and 25.81% of the provinces have transitions. Finally, the number of points in the first and third quadrants is higher than that in the second and fourth quadrants. In the process of dynamic distribution, the degree of polarization of the coupling coordination degree curve of the two systems is gradually weakened. Per capita GDP, residents ' income difference and population size are the positive and significant factors driving the coupling and coordinated development of the two systems.

CONCLUSION

The coupling and coordination degree of the two systems of medical education and health resource allocation showed a stable upward trend during the observation period, and the global spatial positive correlation also gradually increased, showing the spatial agglomeration characteristics of ' high-high agglomeration ' and ' low-low agglomeration '. The spatial difference of coupling coordination degree shows a shrinking trend and develops towards equalization. The coupling coordination degree of the two systems is affected by social, economic and demographic factors to varying degrees. Therefore, it is necessary to innovate the coordinated development mechanism of the two systems, promote the two-way flow of medical education and health resource allocation in talents, technology and other elements, and then promote the coupling and coordinated development of the two systems.

摘要

目的

分析我国医学教育与卫生资源配置的耦合协调水平,为促进医学教育高质量发展和卫生资源高效配置提供科学依据。

方法

基于 2011 年至 2021 年的面板数据,采用耦合协调度模型测算我国医学教育与卫生资源的耦合协调指数,运用空间自相关模型分析两系统耦合协调度的发展态势及分布特征,采用核密度估计法分析两系统耦合协调的动态演进趋势,采用 QR 分位数回归模型探究影响两系统耦合协调度的关键因素。

结果

观测期内,两系统的耦合协调度由 0.393 增长至 0.465,增长幅度为 18.3%。区域间的耦合协调度逐渐由东中西递减,且中、西部地区差距较大。两系统的耦合协调度在地区间差异显著,中部地区较为相似。省域间存在正向空间相关性,有 25.81%的省份发生跃迁。最后,两系统耦合协调度曲线的四分位点中处于第一和第三四分位的点数高于第二和第四四分位。在动态分布过程中,两系统耦合协调度曲线的极化程度逐渐减弱。人均 GDP、居民收入差距和人口规模是促进两系统耦合协调发展的正向且显著因素。

结论

观测期内,医学教育与卫生资源配置两系统的耦合协调度呈稳定上升趋势,全局空间正相关性也逐渐增强,呈现“高高集聚”和“低低集聚”的空间集聚特征。耦合协调度的空间差异呈缩小趋势,向均衡化发展。两系统的耦合协调度受社会、经济和人口等因素的影响程度存在差异。因此,需要创新两系统的协调发展机制,促进医学教育与卫生资源在人才、技术等要素方面的双向流动,进而推动两系统的耦合协调发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e7b/11318310/852c30c19009/12909_2024_5766_Fig1_HTML.jpg

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