文献类型：期刊文献

英文题名：Efficiency and equity of resource allocation in healthcare services using DEA and concentration indices: evidence from the traditional medicine hospital in Gansu Province, China

作者：Ba, Yahui[1];Luo, Zhonghua[2]

第一作者：Ba, Yahui

通信作者：Luo, ZH[1]

机构：[1]Gansu Univ Chinese Med, Sch Hlth Management, Lanzhou, Gansu, Peoples R China;[2]Gansu Univ Chinese Med, Sch Marxism, Lanzhou, Gansu, Peoples R China

第一机构：甘肃中医药大学

通信机构：[1]corresponding author), Gansu Univ Chinese Med, Sch Marxism, Lanzhou, Gansu, Peoples R China.|[10735]甘肃中医药大学;

年份：2025

卷号：13

外文期刊名：FRONTIERS IN PUBLIC HEALTH

收录：;Scopus(收录号：2-s2.0-105019089961);WOS:【SSCI(收录号:WOS:001592972200001)，SCI-EXPANDED(收录号:WOS:001592972200001)】；

基金：The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by the excellent grassroots teaching organization of Gansu Province, grant number GS[2024]SZJYGZ003 and GJJGA088.

语种：英文

外文关键词：TCM hospital; efficiency; concentration indices; DEA; resources; health inequalities

摘要：Background Traditional Chinese medicine (TCM) hospitals are vital to China's healthcare system, yet concerns persist about the efficiency and equity of resource allocation. Variations in economic development across cities within a province lead to disparities in allocation efficiency, with many TCM hospitals facing challenges like low technical efficiency and uneven resource distribution. These issues hinder quality healthcare delivery and compromise fairness.Methods Using health statistics data (2018-2024) from China's Gansu Provincial Bureau of Statistics, this study employed a three-stage Data Envelopment Analysis (DEA) model, the Malmquist index, and Health Resources Agglomeration Degree (HRAD) to evaluate the efficiency and equity of TCM hospital resource allocation across 14 cities in the province.Results In 2024, the comprehensive technical efficiency of healthcare services at Gansu Provincial TCM Hospital was 0.961, with 10 regions being DEA-effective, 1 showing weak effectiveness, and 3 deemed ineffective. After adjusting environmental variables and random disturbances in the third-stage analysis, the recalculated efficiency metric stands at 0.962, showing minimal variation. This indicates that environmental factors exert a negligible influence on efficiency. From 2018 to 2024, total factor productivity declined annually, indicating significant room for efficiency improvement. Resource allocation equity varied widely across regions, with notable disparities in both geographical concentration and population-based distribution observed during the study period.Conclusions The efficiency and equity of resource allocation of TCM hospitals require substantial improvement. Insufficient resources limit hospital performance, and while technical efficiency surpasses allocation efficiency, overall technical standards remain inadequate. Geographic inequities in resource distribution are particularly pronounced. To address these challenges, establishing a provincial resource allocation mechanism, enhancing infrastructure in low-efficiency areas, and coordinating resource distribution across economically diverse cities are essential to optimize both efficiency and fairness.