基于集聚度和秩和比法的广东省护理人力资源研究

Nursing human resource allocation in Guangdong Province based on aggregation degree and rank sum ratio method

目的研究2020年广东省护理人力资源配置现状,以促进护理事业高质量发展。方法运用集聚度研究广东省注册护士集聚情况,以注册护士占卫生技术人员比例、医护比、医疗机构床护比、每千人口注册护士数为指标,运用秩和比法综合评价广东省护理人力资源现状。结果广东省注册护士集聚度差距明显,注册护士地理集聚度为0.28~11.09,注册护士集聚度与人口集聚度比值为0.54~1.48;以RSR为因变量,Probit为自变量得到回归方程:RSR=0.22Probit-0.63,R2=0.95,F=332.08,P<0.001。广东省21个地市可均分为低、偏低、中、高4档,Probit区间分别为<3.5、3.5~<5.0、5.0~6.5、>6.5。结论注册护士短缺且存在地域不均现象;汕尾护理人力资源综合水平最低;韶关、广州护理人力资源综合水平高;护理人力资源配置存在区域性。

Objective To study the current status of nursing human resource allocation in Guangdong Province in 2020,and to promote the high-quality development of nursing.Methods The agglomeration of registered nurses in Guangdong Province was studied by using agglomeration degree.The ratio of registered nurses to health technicians,the ratio of medical staff,the ratio of bed-to-nursing in medical institutions,and the number of registered nurses per 1,000 population were used as indicators to comprehensively evaluate the current status of nursing human resource allocation in Guangdong Province using the rank sum ratio method.Results There was a significant gap in the agglomeration degree of registered nurses in Guangdong Province.The geographical agglomeration degree of registered nurses was 0.28~11.09,and the ratio of the agglomeration degree of registered nurses to population agglomeration was 0.54~1.48.Taking RSR as the dependent variable and Probit as the independent variable,the regression equation was:RSR=0.22Probit-0.63,R2=0.95,F=332.08,P<0.001.The 21 cities in Guangdong Province can be equally divided into low,slightly low,medium and high level in terms of nursing human resource allocation,and the Probit range was<3.5,3.5~<5,5~6.5 and>6.5 respectively.Conclusion The present study shows that there are shortage of registered nurses and regional inequality of nursing human resources.The comprehensive level of nursing human resources in Shanwei is the lowest,while that in Shaoguan,and Guangzhou is high.Nursing human resource allocation demonstrates regional characteristics.