Study on the efficiency of health resource allocation in the western region of China-based on three-stage DEA and Tobit regression analysis.

IF 2.7 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Dongxue Zhao, Hua Huang, Yu Zhang, Shuanghang Li
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Abstract

Objective: To analyze the allocation efficiency of health resources in the western region of China, and to explore the influence of external environmental factors on the allocation efficiency, to provide reference for optimizing the allocation of resources.

Methods: In this study, we employed a three-stage Data Envelopment Analysis (DEA) model alongside Tobit regression analysis to evaluate the efficiency of health resource allocation and explore the factors that influence it across western China. This analysis focused on data from 2021, covering ten provinces. Through this combined approach, the study aimed to uncover key insights into the determinants and variations in resource allocation efficiency within western China.

Results: Following the three-stage DEA analysis, the results showed that health resource allocation in western China achieved a comprehensive efficiency of 0.979, a pure technical efficiency of 0.980, and scale efficiency of 0.999. Notably, six provinces, specifically Chongqing, Guizhou, Yunnan, Tibet, Qinghai, and Ningxia, maintained efficient performance both before and after adjustment. The extensive efficiency of 3 provinces, including Sichuan, Shaanxi, and Gansu decreased. Xinjiang's comprehensive efficiency improved. The comprehensive efficiency of the southwest area was higher than that of the northwest area. The Tobit regression analysis revealed that factors such as per capita disposable income, the share of government spending in total healthcare expenditure, and the medical service price index significantly influenced the efficiency of health resource allocation in Western China.

Conclusion: Environmental factors appeared to inflate the efficiency estimates of health resource allocation in China's western region, with considerable disparities across different areas. To address these issues, the government should advance reforms in medical resource distribution, enhance management practices and technology, optimize resource allocation structures, and minimize resource wastage. At the same time, strategies should be formulated according to provincial characteristics, and interregional cooperation and resource sharing should be strengthened to achieve complementary advantages and common development.

摘要分析中国西部地区卫生资源的配置效率,探讨外部环境因素对配置效率的影响,为优化资源配置提供参考:本研究采用三阶段数据包络分析(DEA)模型,结合托比特回归分析,对中国西部地区卫生资源配置效率进行评价,并探讨其影响因素。该分析以 2021 年的数据为基础,覆盖十个省份。通过这种综合方法,研究旨在揭示中国西部地区资源配置效率的决定因素和差异:三阶段 DEA 分析结果显示,中国西部卫生资源配置的综合效率为 0.979,纯技术效率为 0.980,规模效率为 0.999。值得注意的是,重庆、贵州、云南、西藏、青海和宁夏等 6 个省份在调整前后均保持了高效绩效。四川、陕西和甘肃等 3 个省份的粗放型效率有所下降。新疆的综合效率有所提高。西南地区的综合效率高于西北地区。Tobit回归分析表明,人均可支配收入、政府支出占医疗卫生总支出的比重、医疗服务价格指数等因素对中国西部地区卫生资源配置效率有显著影响:结论:环境因素似乎夸大了中国西部地区卫生资源配置效率的估计值,不同地区之间存在较大差异。针对这些问题,政府应推进医疗资源分配改革,加强管理和技术,优化资源配置结构,减少资源浪费。同时,应根据各省特点制定战略,加强区域间合作和资源共享,实现优势互补、共同发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Health Services Research
BMC Health Services Research 医学-卫生保健
CiteScore
4.40
自引率
7.10%
发文量
1372
审稿时长
6 months
期刊介绍: BMC Health Services Research is an open access, peer-reviewed journal that considers articles on all aspects of health services research, including delivery of care, management of health services, assessment of healthcare needs, measurement of outcomes, allocation of healthcare resources, evaluation of different health markets and health services organizations, international comparative analysis of health systems, health economics and the impact of health policies and regulations.
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