我国人均住院费用的空间分布及影响因素分析  

Spatial distribution and influencing factors of per capita hospitalization expenses in China

作　　者：阮智慧 钱爱兵 郭楚宁 RUAN ZhiHui;QIAN Aibing;GUO Chuning(School of Health Economics and Management,Nanjing University of Chinese Medicine,Nanjing 210023,China)

机构地区：[1]南京中医药大学卫生经济管理学院,江苏南京210023

出　　处：《南京医科大学学报（社会科学版）》2022年第2期174-179,共6页Journal of Nanjing Medical University（Social Sciences）

基　　金：国家中医药管理局课题“新冠肺炎背景下公立中医院经济运行管理情况研究”(ZYJGC-YSCW202010)。

摘　　要：基于莫兰指数、热点分析和地理加权回归模型对2017—2019年我国31个省份(除港澳台地区)人均住院费用的空间分布特征及影响因素进行分析。结果发现,2017—2019年我国人均住院费用全局Moran’s I指数均大于0(P<0.01);热点分析显示人均住院费用存在“热点”和“冷点”区域;每千人口执业助理医师数和城镇化率对人均住院费用存在正向影响,每千人口床位数对人均住院费用存在负向影响。我国人均住院费用整体呈上涨态势,在地理分布上存在聚集性,各地在影响因素力度上存在差异,应结合实际情况制定政策。Based on Moran index,hot spot analysis and geographically weighted regression model,this paper analyzed the spatial distribution characteristics and influencing factors of per capita hospitalization costs in 31 provinces of China's Mainland from 2017 to 2019. The results showed that the Moran’s I index of per capita hospitalization cost was greater than 0 from 2017 to 2019(P<0.01). Hot spot analysis showed that there were“hot spots”and“cold spots”in per capita hospitalization expenses. The number of licensed assistant physicians per 1 000 population and the urbanization rate had positive impact on the per capita hospitalization expenses,while the number of beds per 1 000 population had negative impact on the per capita hospitalization expenses. The per capita hospitalization expenses in China were on the rise as a whole,and clustered in geographical distribution. There were differences in the strength of influencing factors in different regions.Therefore,policies should be formulated according to the actual situation.

关 键 词：人均住院费用 空间自相关 地理加权回归模型 影响因素 

分 类 号：R197.1[医药卫生—卫生事业管理]