Analysis of the Path to Improve the Efficiency of Medical Resource Allocation in Chinese Medicine Hospitals under the Perspective of fsQCA Configuration
Tian Xueyun
Wang Zhixin
Zhou Yiru
Jiang Yan
Zhao Liying
Zhou Jie
Yang Zi
Man Xiaowei
Abstract：Objective To explore the optimisation path of medical resource allocation efficiency improvement in Traditional Chinese Medicine (TCM) hospitals under the synergistic effect of multiple factors,so as to provide powerful support for the balanced development of medical resources in TCM hospitals.Methods The comprehensive efficiency of resource allocation in TCM hospitals in 31 provinces (cities and districts) of China obtained by Data Envelopment Analysis was taken as the outcome variable,and with the help of Fuzzy-set Qualitative Comparative Analysis,it examined the configurations of efficient medical resource allocation,considering the following conditional variables:per capital Regional GDP,the proportion of fiscal allocation revenue to total income,the ratio of TCM practicing (assistant) physicians to all practicing (assistant) physicians,the average length of hospital stay for discharged patients,the number of total diagnosis and treatments per thousand population,and the number of hospital beds per thousand population.Results By analyzing the conditional patterns of efficient allocation of medical resources in TCM hospitals,three equivalent driving paths can be summarized,which are comprehensive service capacity,TCM advantage and hospitalization driving paths.Conclusion The overall level of medical resource allocation efficiency of TCM hospitals in China needs to be improved.In the future,efforts should be made to improve the comprehensive service capacity and operational efficiency of hospitals,give full play to the advantages of TCM,build a high-quality TCM talent team,reasonably shorten the average hospital stay,and improve the utilization efficiency of hospital beds.
Keywords：medical resourceallocation efficiencygroupingTraditional Chinese Medicine hospitalFuzzy-set Qualitative Comparative Analysis
Publication Date：2025-01-04
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 41-45 )