基于空间杜宾模型的我国基层卫生技术人力资源配置评价研究OA北大核心CSTPCD

Objective To analyze the distribution characteristics of human resource for primary care from the spatial perspective,and to provide a scientific basis for the rational allocation of primary care human resources.Methods Data on human resources for primary care in 31 provinces of China from 2012 to 2021 were collected.The Moran Index and Spatial Durbin's model were employed to analyze the clustering of human resources for primary care in China,and to investigate the factors influencing human resources for primary care and their spatial spillover effects among neighbouring provinces.Results In terms of time trend,the number of primary care technicians in China increased year by year from 2012 to 2021,leading to a continuously improved structure.However,in terms of spatial distribution,there was a wide gap in the average annual growth rate of primary care technicians per 1,000 population between provinces.Provinces like Xinjiang,Gansu,Liaoning,and Heilongjiang had relatively small number of primary care technicians per 1,000 population and their growth rates were slow.The Moran Index of primary care technicians declined in 2012-2021,showing a negative correlation between the spatial and temporal distribution of the allocation of primary care technicians in China,with spatial spillover effects.Urbanisation rate and the medical and health care development were the important factors influencing the allocation of primary care technicians in the region.Conclusion The interprovincial gap in human resources for primary care has been narrowing from 2012 to 2021.Nonetheless,the total number of primary care personnel is insufficient,presenting an uneven spatial distribution.An in-depth approach should be taken from an interprovincial perspective to optimize the deployment of primary care personnel through the construction of primary service networks regional primary care cooperation mechanisms,and talent attraction policies.