| 引用本文：冯晓晨,王永强,王冉,等.我国基层卫生人力资源配置公平性及其驱动路径研究: 基于模糊集定性比较分析[J].中国卫生政策研究,2025,18(4):59-65 |
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| 我国基层卫生人力资源配置公平性及其驱动路径研究: 基于模糊集定性比较分析 |
| 投稿时间：2025-04-04 PDF全文浏览 HTML全文浏览 |
| 冯晓晨1,王永强1,王冉2,王欣1,罗盛1,秘玉清2 |
| 1.School of Management, Shandong Second Medical University, Weifang Shandong 261053, China ;2.School of Public Health, Shandong Second Medical University, Weifang Shandong 261053, China 【Abstract】 Objective:To explore the equity and driving path of primary healthcare human resource allocation across 31 provinces in China, providing references for optimizing such allocations. Methods:Using data from the 2022 primary healthcare human resources in 31 provinces in China, the Health Resource Density Index |
| 摘要:目的:探究我国基层卫生人力资源配置公平性及驱动路径,为优化基层卫生人力资源配置提供参考。方法:以2022年我国31个省份基层卫生人力资源数据为样本,采用卫生资源密度指数(HRDI)测算我国基层卫生人力资源配置公平性,通过模糊集定性比较分析法(fsQCA)探讨影响基层卫生人力资源配置公平性的组态路径。结果:2022年,我国东、中、西部基层卫生人力资源HRDI分别为2.349 0、1.198 6和0.775 2。组态分析显示,3条高公平性路径:内外均衡驱动型(H1)、政府主导驱动型(H2)和经济—需求共同驱动型路径(H3),总体一致性和覆盖度分别为0.955,0.794；7条低公平性路径:内外制约型(L1、L2)、经济制约型(L3)和需求制约型路径(L4、L5、L6、L7),总体一致性和覆盖度分别为0.967,0.795。结论:我国基层卫生人力资源地区间配置公平性差异显著；人口密度是基层卫生人力资源配置公平性提升的关键因素；各要素协同促进基层卫生人力资源配置公平性的提升。因此,提升公平性应促进区域间流动与共享,精准补齐区域短板,实现基层卫生人力资源配置高公平性。 |
| 关键词:基层卫生 人力资源 公平性 卫生资源密度指数 模糊集定性比较分析 |
| 基金项目:国家自然科学基金项目(71774119)；山东省自然科学基金面上项目(ZR2023MG019)；山东第二医科大学博士科研基金(2024BKQ029) |
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| Research on theequity of primary healthcare human resources allocation and its driving path:A qualitative comparative analysis based on Fuzzy Set Qualitative Comparative Analysis |
| FENG Xiao-chen1, WANG Yong-qiang1, WANG Ran2, WANG Xin1, LUO Sheng1, MI Yu-qing2 |
| 1.School of Management, Shandong Second Medical University, Weifang Shandong 261053, China ;2.School of Public Health, Shandong Second Medical University, Weifang Shandong 261053, China |
| Abstract:Objective:To explore the equity and driving path of primary healthcare human resource allocation across 31 provinces in China, providing references for optimizing such allocations. Methods:Using data from the 2022 primary healthcare human resources in 31 provinces in China, the Health Resource Density Index (HRDI) was used to measure the equity of primary healthcare human resource allocation. The fuzzy-set Qualitative Comparative Analysis (fsQCA) was applied to construct configurational pathways influencing on allocation patterns. Results:In 2022, the HRDI for primary healthcare human resources in China was 2.349 0 in the East, 1.198 6 in the Central region, and 0.775 2 in the West. Configurational analysis revealed three paths that promote high equity:the internal-external balance-driven model (H1), the government-led model (H2), and the economic-demand combined model (H3), with overall consistency and coverage of 0.955 and 0.794, respectively. Seven paths lead to low equity:internal-external constraint models (L1, L2), economic constraint models (L3), and demand constraint models (L4, L5, L6, L7), with overall consistency and coverage of 0.967 and 0.795, respectively. Conclusions:Significant regional disparities exist in the equity of primary healthcare human resource allocation in China. Population density is a critical factor influencing allocation equity. The collaboration of various factors contributes to enhancing the equity of primary healthcare human resources distribution. Therefore, future efforts to enhance equity should focus on promoting inter-regional mobility and resource sharing, while precisely addressing regional shortcomings to achieve high equity in primary healthcare human resource allocation. |
| Key words:Primary healthcare Human resources Equity Health Resource Density Index Fuzzy Set Qualitative Comparative Analysis |
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