文献类型：期刊文献

中文题名：中国西部地区医院运行效率及其影响因素分析

英文题名：Analysis of the operational efficiency of hospitals in Western China and its influencing factors

作者：谭莎[1];张勰[1];赵彤[1]

第一作者：谭莎

机构：[1]甘肃中医药大学卫生管理学院,甘肃兰州730101

第一机构：甘肃中医药大学

年份：2026

卷号：40

期号：2

起止页码：24

中文期刊名：卫生软科学

外文期刊名：Soft Science of Health

基金：2025年甘肃省高校教师创新基金项目(2025A-103);甘肃省2024年大中小学课程教材专项研究课题(GSJC-Z2024004);甘肃省2025年高等教育教学改革研究项目(GJJGB227)。

语种：中文

中文关键词：中国西部地区;医疗卫生资源;医院运行效率;三阶段DEA模型;Tobit模型

外文关键词：Western China;healthcare resources;operational efficiency of hospitals;three-stage DEA modeling;Tobit model

摘要：[目的]分析影响医院运行效率的关键因素,为提升西部地区医院运行效率提供参考。[方法]运用三阶段DEA-Tobit模型,对2013—2022年中国西部12个省份的医院运行效率进行评价,探究其影响因素。[结果]剔除环境因素后,中国西部地区医院运行的综合技术效率均值由0.954上升至0.959,纯技术效率均值由0.960上升至0.963,规模效率均值由0.994上升至0.996;人均地区生产总值对调整后的综合技术效率值呈负相关(P<0.05),老年人口抚养比对调整后的综合技术效率值呈正相关(P<0.05)。[结论]人均地区生产总值对效率产生负向影响,资源投入与产出效能存在错配;老年人口抚养比呈现正向影响,持续医疗服务需求对医院流程优化产生倒逼作用。
Objective To analyze the key factors influencing the operational efficiency of hospitals,and to provide a reference for improving the operational efficiency of hospitals in Western China.Methods A three-stage DEA-Tobit modeling was used to evaluate the operational efficiency of hospitals in 12 western provinces of China from 2013 to 2022 and explore the influencing factors.Results After removing environmental factors,the average comprehensive technical efficiency of hospitals in Western China increased from 0.954 to 0.959;the average pure technical efficiency rose from 0.960 to 0.963,and the average scale efficiency increased from 0.994 to 0.996.The per capita gross regional product(GRP)was negatively correlated with the adjusted comprehensive technical efficiency value(P<0.05),while the elderly dependency ratio was positively correlated with the adjusted comprehensive technical efficiency value(P<0.05).Conclusions The per capita GRP has a negative impact on efficiency,suggesting a mismatch between resource input and output efficiency.The elderly dependency ratio shows a positive impact,and the continuous demand for medical services exerts a driving force for the optimization of hospital processes.