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中国基层医疗服务效率及其空间相关性研究。

A study of primary health care service efficiency and its spatial correlation in China.

机构信息

School of Public Health, Weifang Medical University, Weifang, 261053, Shandong, China.

School of Management, Weifang Medical University, Weifang, 261053, Shandong, China.

出版信息

BMC Health Serv Res. 2023 Mar 13;23(1):247. doi: 10.1186/s12913-023-09197-x.

Abstract

BACKGROUND

China's primary health care system has undergone major changes since the new round of medical reform in 2009, but the current status of primary health care institution service efficiency is still unsatisfactory. The purpose of this study is to compare and evaluate the China's primary health care institution service efficiency and provide a reference for improving the efficiency and promoting the development of primary health care institution.

METHODS

Based on panel data of 31 provinces (municipalities directly under the central government and autonomous regions) in mainland China from 2011 to 2020, using the super efficiency slack-based measure-data envelopment analysis model, to analyze the data from a static perspective, and the changes in the efficiency of primary health care services were analyzed from a dynamic perspective by using the Malmquist index method. Spatial autocorrelation analysis method was used to verify the spatial correlation of primary health care service efficiency among various regions.

RESULTS

The number of Primary health care institutions increased from 918,000 in 2011 to 970,000 in 2020. The average primary health care institution service efficiency in the northeastern region including Jilin (0.324), Heilongjiang (0.460), Liaoning (0.453) and northern regions such as Shaanxi (0.344) and Neimenggu (0.403) was at a low level, while the eastern coastal regions such as Guangdong (1.116), Zhejiang (1.211), Shanghai (1.402) have higher average service efficiency levels. The global Moran's I showed the existence of spatial autocorrelation, and the local Moran's I index suggested that the problem of uneven regional development was prominent, showing a contiguous regional distribution pattern. Among them, H-H (high-efficiency regions) were mainly concentrated in Jiangsu, Anhui and Shanghai, and L-L regions (low-efficiency regions) were mostly in northern and northeastern China.

CONCLUSION

The service efficiency of primary health care institution in China showed a rising trend in general, but the overall average efficiency was still at a low level, and there were significant geographical differences, which showed a spatial distribution of "high in the east and low in the west, high in the south and low in the north". The northwestern region, after receiving relevant support, has seen a rapid development of primary health care, and its efficiency was steadily improving and gradually reaching a high level. The average primary health care institution service efficiency in the northeastern region including the northern region of China was at a low level, while the average efficiency in the eastern coastal region and some economically developed regions was high, which also verifies the dependence and high symbiosis of primary health care institution service efficiency on regional economy.

摘要

背景

自 2009 年新一轮医改以来,中国的基层医疗保健系统发生了重大变化,但目前基层医疗机构的服务效率仍不尽如人意。本研究旨在比较和评估中国基层医疗机构的服务效率,为提高效率和促进基层医疗机构发展提供参考。

方法

基于 2011 年至 2020 年中国大陆 31 个省(自治区、直辖市)的面板数据,采用超效率松弛基于测量-数据包络分析模型对数据进行静态分析,利用 Malmquist 指数法从动态角度分析基层医疗卫生服务效率的变化。采用空间自相关分析方法验证了各地区基层医疗卫生服务效率的空间相关性。

结果

基层医疗卫生机构数量从 2011 年的 91.8 万家增加到 2020 年的 97 万家。包括吉林(0.324)、黑龙江(0.460)、辽宁(0.453)在内的东北地区和陕西(0.344)、内蒙古(0.403)等北部地区以及广东(1.116)、浙江(1.211)、上海(1.402)等东部沿海地区的基层医疗卫生机构平均服务效率水平较低。全局 Moran's I 显示存在空间自相关,局部 Moran's I 指数表明区域发展不平衡问题突出,呈现出连续的区域分布格局。其中,H-H(高效率地区)主要集中在江苏、安徽和上海,L-L 地区(低效率地区)主要集中在华北和东北地区。

结论

中国基层医疗卫生机构的服务效率总体呈上升趋势,但整体平均效率仍处于较低水平,且存在显著的地域差异,呈“东高西低、南高北低”的空间分布格局。西北地区在接受相关支持后,基层医疗卫生事业得到快速发展,效率稳步提升,逐步达到较高水平。包括东北地区和中国北方地区在内的基层医疗卫生机构平均服务效率水平较低,而东部沿海地区和一些经济发达地区的平均效率水平较高,这也验证了基层医疗卫生机构服务效率对区域经济的依赖性和高度共生性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/10012696/8c57958f7aa6/12913_2023_9197_Fig1_HTML.jpg

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