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卫生人力资源的规模和层次结构对医疗服务水平的影响——基于中国四大经济区域。

The impact of the scale and hierarchical structure of health human resources on the level of medical services-based on China's four major economic regions.

机构信息

The School of Medicine, Shihezi University, Shihezi, Xinjiang, China.

The Academy of Education, Xinjiang Normal University, Urumqi, Xinjiang, China.

出版信息

Int J Equity Health. 2024 Aug 21;23(1):166. doi: 10.1186/s12939-024-02239-8.

Abstract

BACKGROUND

Ensuring that the scale and hierarchical structure of health human resources are rational, and that medical services are efficient and fair, is an important task of practical significance. On this basis, examining the impact of health human resources on the level of medical services presents a new and formidable challenge. This study aims to delve into how the scale and hierarchical structure of health human resources in China's four major economic regions affect the fairness and efficiency of medical services, and to identify optimization strategies.

METHODS

This study utilizes provincial panel data from China's four major economic regions spanning the years 2009 to 2021. Initially, it provides a statistical description of the current state of health human resources and the level of medical services. Subsequently, it employs a fixed-effects model to analyze the impact of the scale and hierarchical structure of health human resources, as well as their interactive effects, on the fairness and efficiency of medical services, and discusses the interactive mechanisms between medical service fairness and medical service efficiency. Furthermore, after conducting a comprehensive evaluation of the level of medical services using the entropy weight method, it explores the regional heterogeneity and temporal dynamics in the influence of the scale and hierarchical structure of health human resources on the level of medical services. Finally, the study examines the scientific validity and rationality of the research findings through various robustness checks, including the substitution of research variables and models.

RESULTS

The study found that the scale of health human resources has a promoting effect on the equity of medical services (β ≤ 0.643, p ≤ 0.01), but exhibits an inhibitory effect on the efficiency of medical services (β ≥ -0.079, p ≤ 0.1); the hierarchical structure of health human resources shows a positive impact on both the equity and efficiency of medical services (β ≤ 0.160, p ≤ 0.01; β ≤ 0.341, p ≤ 0.05); at the same time, the results indicate that the interactive effect of the scale and hierarchical structure of health human resources promotes equity in medical services (β = 0.067, p ≤ 0.01), but restricts the efficiency of medical services (β ≥ -0.039, p ≤ 0.01); the mechanism by which health human resources affect the level of medical services in China's western and northeastern regions is more pronounced than in the central and eastern regions; after the implementation of the "Healthy China 2030" Planning Outline, the role of health human resources in the level of medical services has been strengthened; in the robustness tests, the model remains robust after replacing the core explanatory variables, with R maintained between 0.869 and 0.972, and the dynamic GMM model test shows a significant second-order lag in the level of medical services (β ≤ 0.149, p ≤ 0.01; β ≤ 0.461, p ≤ 0.01); the channel test results prove that managerial personnel and other technical personnel are key pathways in regulating the impact of medical staff on the level of medical services.

CONCLUSION

This study provides an in-depth analysis of the impact of health human resources on the level of medical services, revealing that both the scale and hierarchical structure of health human resources significantly affect the equity and efficiency of medical services. Furthermore, the influence of health human resources on the level of medical services exhibits regional heterogeneity and temporal characteristics. Robustness tests ensure the scientific validity and robustness of the research conclusions. This provides effective references for optimizing the allocation of health human resources and improving the level of medical services.

摘要

背景

确保卫生人力资源的规模和层次结构合理,使医疗服务高效公平,是具有重要实践意义的任务。在此基础上,考察卫生人力资源对医疗服务水平的影响,提出了新的、艰巨的挑战。本研究旨在深入探讨中国四大经济区域卫生人力资源的规模和层次结构如何影响医疗服务的公平性和效率,并确定优化策略。

方法

本研究利用 2009 年至 2021 年中国四大经济区域的省级面板数据。首先,对卫生人力资源和医疗服务水平的现状进行统计描述。然后,采用固定效应模型分析卫生人力资源规模和层次结构及其交互作用对医疗服务公平性和效率的影响,并探讨医疗服务公平性和医疗服务效率之间的交互机制。此外,采用熵权法对医疗服务水平进行综合评价后,探讨卫生人力资源规模和层次结构对医疗服务水平影响的区域异质性和时间动态。最后,通过替代研究变量和模型等各种稳健性检验,检验研究结果的科学有效性和合理性。

结果

研究发现,卫生人力资源规模对医疗服务公平性具有促进作用(β≤0.643,p≤0.01),但对医疗服务效率具有抑制作用(β≥-0.079,p≤0.1);卫生人力资源层次结构对医疗服务公平性和效率均有正向影响(β≤0.160,p≤0.01;β≤0.341,p≤0.05);同时,结果表明卫生人力资源规模和层次结构的交互效应对医疗服务公平性具有促进作用(β=0.067,p≤0.01),但对医疗服务效率具有抑制作用(β≥-0.039,p≤0.01);卫生人力资源对中国西部地区和东北地区医疗服务水平的影响机制比中部和东部地区更为明显;“健康中国 2030”规划纲要实施后,卫生人力资源对医疗服务水平的作用得到加强;在稳健性检验中,模型在替换核心解释变量后仍然保持稳健,R 保持在 0.869 到 0.972 之间,动态 GMM 模型检验显示医疗服务水平存在显著二阶滞后(β≤0.149,p≤0.01;β≤0.461,p≤0.01);渠道检验结果证明管理人员和其他技术人员是调节医务人员对医疗服务水平影响的关键途径。

结论

本研究深入分析了卫生人力资源对医疗服务水平的影响,发现卫生人力资源的规模和层次结构均显著影响医疗服务的公平性和效率。此外,卫生人力资源对医疗服务水平的影响呈现出区域异质性和时间特征。稳健性检验确保了研究结论的科学性和稳健性。本研究为优化卫生人力资源配置、提高医疗服务水平提供了有效参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb55/11337570/d05bbcd75901/12939_2024_2239_Fig1_HTML.jpg

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