Research on the spatial-temporal evolution of healthcare resource allocation efficiency in China

中国医疗资源配置效率时空演变研究

阅读:2

Abstract

OBJECTIVE: To analyze the allocation efficiency of healthcare resources in 31 provinces, municipalities and autonomous regions in China from 2014 to 2023, and propose improvements to enhance the level of healthcare services in China. METHODS: The DEA-BCC model was used to measure the static efficiency, and the Malmquist index was used to analyze the dynamic changes of total factor productivity, and the regional efficiency comparison and spatial-temporal evolution analysis were carried out. RESULTS: The input of healthcare resources in China continued to increase, but the output was lagging behind. In 2023, the national average comprehensive efficiency was 0.869, and more than half of the provinces were DEA-ineffective. Regional differences are obvious, the efficiency of the eastern region is leading, the central region is low, and the western region fluctuates greatly. From 2014 to 2023, the average national total factor productivity was 0.984, and the efficiency showed a slight downward trend. Further decomposition finds that the lag of technological progress is a key factor restricting the improvement of total factor productivity. CONCLUSION: A customized resource rebalancing strategy at the provincial level should be implemented to reduce the over-allocation of hospitals and beds. Concurrently, accelerating the diffusion of medical technologies to primary care is essential, and make up for the shortcomings of technological progress through regional cooperation platforms and mandatory equipment update cycles. Furthermore, benchmarking management should be adopted, drawing on the practical experience of high-efficiency provinces in integrated healthcare alliances and digital health integration.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。