Dynamic distribution, regional differences and convergence of health workforce allocation in township health centers in China

被引:4
|
作者
Wang, Zuobao [1 ]
Lin, Tianrun [1 ]
Xing, Xinyi [1 ]
Cai, Bingshu [1 ]
Chen, Yao [2 ]
机构
[1] Northeastern Univ, Sch Humanities & Law, Shenyang 110169, Peoples R China
[2] Shenyang Urban Construct Univ, Sch Management, Shenyang 110167, Peoples R China
关键词
Health workforce; Disparity; Convergence; Township health center; Kernel density; China; PRIMARY-CARE; INEQUALITY;
D O I
10.1016/j.heliyon.2023.e23857
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study evaluated the dynamic distribution, regional differences, and convergence of health workforce allocation in Township Health Centers in China during 2011-2020 using data obtained from the China Health Statistics Yearbook (2012-2021). The Gini coefficient and kernel density estimation were chosen to examine the dynamic distribution and regional differences in health workforce allocation in Township Health Centers in China and their components. sigma convergence and beta convergence were used to investigate the change trend of health workforce allocation in Township Health Centers. The results show that between 2011 and 2020, the number of licensed doctors and registered nurses per thousand population in Township Health Centers both increased largely and regional disparities still exist. In 2020, the largest differences in the density of licensed doctors and registered nurses were found in the eastern and central regions, respectively, and the intensity of trans-variation contributed the most to the overall disparities. The allocation of licensed doctors and registered nurses both exhibited sigma convergence, absolute and conditional beta convergence, indicating that the regional differences in health workforce in THCs among prov-inces will decrease. The growth of healthcare workforce was positively impacted by the urban-ization rate, growth rate of government health expenditures and growth domestic product per capita, but negatively impacted by population density in rural areas and fiscal self-sufficiency.
引用
收藏
页数:13
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