主管:国家卫生健康委员会
主办:国家卫生计生委医院管理研究所
中国科学引文数据库(CSCD)来源期刊
中国科技论文统计源期刊 中国科技核心期刊
《中文核心期刊要目总览》入选期刊

Chinese Nursing Management ›› 2025, Vol. 25 ›› Issue (2): 267-271.doi: 10.3969/j.issn.1672-1756.2025.02.020

• Human Resource • Previous Articles     Next Articles

Spatial distribution differences and dynamic evolution of Traditional Chinese Medicine nursing human resources in China

LU Zhentao, SHI Fuxia, WANG Yuhui, GUO Jing   

  1. Nursing Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
  • Online:2025-02-15 Published:2025-02-15
  • Contact: E-mail:gamhlb@163.com

Abstract: Objective: To explore the spatial distribution differences and dynamic evolution of nursing human resources in Traditional Chinese Medicine (TCM) hospitals, and provide scientific basis for the optimization of nursing human resources in TCM hospitals. Methods: We collected and extracted the nursing human resources data of TCM hospitals from 31 provinces, municipalities and autonomous regions in China from 2012 to 2022 to explore the spatial differences in the distribution of nursing human resources in those hospitals in China and its dynamic evolution based on agglomeration degree and Kernel density estimation. Results: The average annual growth rate of TCM nursing human resources in the western region was the highest, at 10.70%. The HRAD of 8 provinces, municipalities and autonomous regions including Heilongjiang was less than 1, while the HRAD of other provinces, municipalities and autonomous regions was greater than or equal to 1. The highest PAD was 27.145 in Shanghai, and the lowest was 0.020 in Xizang. 15 provinces, municipalities and autonomous regions including Beijing had HRAD/PAD ratios greater than 1. Conclusion: The allocation of nursing human resources in TCM hospitals increases year by year, but the fairness is still insufficient. In terms of spatial distribution, low agglomeration degree is observed in the central and western China for a long time, with an apparent gap between high agglomeration degree cities and low agglomeration degree cities. Although recently the overall allocation level has been greatly improved, the regional differences are still obvious.

Key words: Traditional Chinese Medicine nursing; human resource; agglomeration degree; spatial distribution; Kernel density estimation

CLC Number: R47;R197