Analysis on the allocation of human resources for chronic disease prevention and control in 664 district/county-level centers for disease control and prevention in China in 2020.
10.3760/cma.j.cn112150-20220531-00551
- Author:
Zhun YI
1
;
Ting Ling XU
1
;
Han LI
1
;
Jing QIAN
2
;
Jing YANG
1
;
Wen Lan DONG
1
Author Information
1. National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
2. National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China School of Health Management, China Medical University, Shenyang 110122, China.
- Publication Type:Journal Article
- MeSH:
Humans;
Noncommunicable Diseases/prevention & control*;
Workforce;
China;
Risk Factors;
Chronic Disease
- From:
Chinese Journal of Preventive Medicine
2023;57(1):15-21
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To analyze the allocation of human resources for chronic disease prevention and control of district/county-level centers for disease control and prevention(CDC) in China in 2020. Methods: Survey subjects were from National Chronic Noncommunicable Disease and Risk Factor Surveillance Sites and National Demonstration Areas for Chronic Noncommunicable Disease Prevention and Control (demonstration areas). A survey examining the allocation of human resources for chronic disease prevention and control at district/county-level CDC was conducted in December 2021 through the National Demonstration Areas Management Information System. The number and rate of allocation of human resources for chronic disease prevention and control in district/county-level CDC were analyzed and the Wilcoxon rank sum test was used to compare the difference between demonstration and non-demonstration areas and between urban and rural areas. The Kruskal-Wallis H test was used to compare the difference in east, central and west regions. The Gini coefficient and Theil index were used to evaluate the balance of human resource for chronic disease prevention and control. Results: A total of 678 districts/counties were investigated, and 664 districts/counties responded effectively, with an effective response rate of 97.9%. The establishment rate of district/county-level CDC was 98.34% (653/664), and the establishment rate of chronic disease prevention and control departments of district/county-level CDC was 96.02% (627/653). In 627 district/county-level CDC with departments for chronic disease prevention and control, the median number of full-time technical personnel for chronic disease prevention and control was 4, the median number of full-time technical personnel in demonstration areas (4 persons) was higher than in non-demonstration areas (3 persons), highest in the east region (5 persons) than in the middle region (4 persons) and the west region (4 persons), higher in urban areas (4 persons) than in rural areas (4 persons) (all P values<0.05). The allocation rate was 0.71 people/100 000, which was higher in demonstration areas (0.73 people/100 000) than in non-demonstration areas (0.67 people/100 000), highest in the west region (0.82 people/100 000) than in the middle region (0.71 people/100 000) and east region (0.67 people/100 000), higher in rural areas (0.77 people/100 000) than in urban areas (0.68 people/100 000) (all P values<0.05). The Gini coefficient for the allocation by population size was 0.352 9. The total Theil index for demonstration and non-demonstration areas, different regions, and urban-rural areas were 0.067 8, 0.076 3, and 0.000 2, with the intra-group contribution of 97.35%, 99.52%, and 98.80%, respectively. Conclusion: In 2020, the allocation of human resources for chronic disease prevention and control in district/county-level CDC is relatively balanced. The variation in the allocation of human resources for chronic disease prevention and control exist between demonstration and non-demonstration areas, urban and rural areas, and across regions.
