Human resource efficiency and spatial distribution characterization of district-level center for disease control and prevention in city N of Jiangsu Province
10.3969/j.issn.1674-2982.2024.10.008
- VernacularTitle:江苏省N市区级疾控中心人力资源效率及空间分布特征分析
- Author:
Yang LI
1
;
Yu-Meng WEI
;
Yu-Qi YANG
;
Wen-Jie XU
;
Ming-Yao GU
;
Zi-Fa HUANG
;
Zhi-Hao ZHANG
;
Fang WU
Author Information
1. 中国药科大学人事处 江苏 南京 211198
- Keywords:
Centers for Disease Control and Prevention;
Human resources;
Efficiency;
Super Efficiency Slacks-Based Measure;
Moran's Index
- From:
Chinese Journal of Health Policy
2024;17(10):52-58
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the efficiency of human resource allocation and its spatial distribution characteristics of district-level Center for Disease Control and Prevention(CDC)in city N of Jiangsu Province in 2020,in order to provide a strong decision-making reference for optimizing and strengthening the CDC talent team.Methods:The efficiency of human resources of district-level CDC of City N in2020 was measured using the Super-Efficiency SBM model,and the spatial association pattern was analyzed using the natural break point classification method and Moran's index,with the visualization presented through LISA maps.Results:The overall level of human resource efficiency in district-level CDC of City N is relatively high.However,spatially,there are significant differences among the regions,showing a trend of high efficiency in the central areas and low efficiency at the ends.Moran's index and LISA maps indicate a negative spatial correlation in efficiency,with a low-high(L-H)cluster centered on Area L and a high-low(H-L)cluster centered on Area J.The high-high(H-H)cluster pattern has not yet formed,exhibiting a characteristic of interspersed high and low efficiency.Conclusions:There are regional differences in the human resource efficiency of the Disease Control Center in City N,and the spatial cluster pattern needs to be optimized.It is recommended to focus on efficiency improvement in Areas P and L,formulate appropriate policies,and promote coordinated regional development.
