实用医学杂志 ›› 2022, Vol. 38 ›› Issue (2): 222-227.doi: 10.3969/j.issn.1006⁃5725.2022.02.018

• 调查研究 • 上一篇    下一篇

基于集聚度和地理信息系统研究广东省中医药卫生资源公平性

杨洁1 庞震苗1 徐庆锋2 龚文进1   

  1. 1 广州中医药大学公共卫生与管理学院(广州 510006);2 广东省中医药局(广州 510006)
  • 出版日期:2022-01-25 发布日期:2022-01-25
  • 通讯作者: 庞震苗 E⁃mail:946991927@qq.com
  • 基金资助:
    国家自然科学基金资助项目(编号:71804031);广东省哲学社科项目(编号:GD19CGL25);广东省中医药局 2020年指令性课题(编号:20204002)

Equity in Chinese medicine health resourcesallocation in Guangdong province based on agglomeration degree and GIS

YANG Jie*,PANG Zhenmiao,XU Qingfeng,GONG Wenjin. *
  

  1. School of Public Health and Man⁃agement,Guangzhou University of Chinese Medicine,Guangzhou 510006,China
  • Online:2022-01-25 Published:2022-01-25
  • Contact: PANG Zhenmiao E⁃mail:946991927@qq.com

摘要:

目的 分析广东省中医药卫生资源配置的公平性,为优化广东省中医药卫生资源配置提供参考及建议。方法 采用集聚度法、熵权⁃TOPSIS 法并结合地理信息系统(GIS)技术探索广东省中医药卫 生资源配置的公平性。结果 深圳市中医药卫生资源集聚度最大,各项指标集聚度达 5.628 2 ~ 11.513 3 汕尾市中医药卫生资源集聚度最小,各项指标集聚度为 0.160 7 ~ 0.962 6。珠海市中医药卫生资源集聚度 与人口集聚度的比值最大,达 1.482 5 ~ 2.152 7;汕尾市中医药卫生资源集聚度与人口集聚度的比值最小, 0.166 1 ~ 0.995 1。熵权⁃TOPSIS法评价结果为珠三角中医药卫生资源最好(Ci = 1),粤东最差(Ci = 0)。 结论 广东省中医药卫生资源配置不均衡,按地理范围配置公平性与按人口配置公平性存在差距,人力资源配置公平性低于物力资源配置公平性。

关键词:

Abstract:

Objective To analyze the equity in Chinese medicine(CM)health resource allocation in Guangdong province,and to provide reference and suggestions for optimizing CM health resources allocation. Methods Health resources agglomeration degree,entropy weight⁃TOPSIS method and GIS technology were used to explore the equity of CM health resources allocation in Guangdong province. Results The concentration degree of CM health resources in Shenzhen was the highest,and the concentration degree of each index was 5.628 2 to 11.513 3. The concentration of CM health resources in Shanwei was the lowest,and the concentration of each index ranged from 0.160 7 to 0.962 6. The ratio of concentration degree of CM health resources to population concentration degree in Zhuhai was the largest ,reaching 1.482 5 to 2.152 7. The ratio of concentration degree of CM health resources to population concentration degree in Shanwei was the lowest ,ranging from 0.166 1 to 0.995 1. The result of entropy weight⁃TOPSIS method showed that the pearl river delta had the best CM health resources(Ci = 1), and the eastern Guangdong had the worst(Ci = 0). Conclusions The allocation of CM health resources in Guangdong province is unbalanced. There is a gap between the fairness of health resources allocation according to geographical scope and population. The fairness of human resources allocation is lower than that of the material resources.

Key words:

health resources agglomeration degree, geographic information system, health resources, fairness