摘要
目的:分析医疗服务价格空间分布特征及影响因素,为全国医疗服务价格改革提供依据。方法:以门诊诊查费为样本,采用空间自相关分析医疗服务价格的空间聚集情况,采用空间回归模型对其影响因素进行分析。结果:全国三级医院门诊诊查费Moran’s I=0.053 (P=0.252),未发现具有全局空间自相关性。江苏、安徽、山东及河北存在高高聚集、四川省存在低低聚集、天津市存在低高聚集、海南省存在高低聚集(P<0.05),其他地区均未有显著聚集现象。卫生和社会工作人员收入对门诊诊查费有统计学意义,其他变量均无统计学意义(P>0.05)。结论:全国三级医院的门诊诊查费在空间上尚未发现具有全局自相关,我国医疗服务价格改革应关注价格空间分布体系及网络支持。
Objective:To analyze the spatial distribution characteristics and influencing factors of medical service price,so as to provide the basis for the reform of medical service price in China.Methods:Taking outpatient consultation fees as samples,spatial autocorrelation method was adopted to analyze the spatial clustering of medical service prices,and spatial regression model was used to analyze the influencing factors.Results:For the outpatient costs in the national tertiary hospitals,Global Moran’ s I=0.053(P=0.0252),and there was still no global spatial autocorrelation.There were high-high aggregation in Jiangsu,Anhui,Shandong,Hebei provinces,low-high concentration in Tianjin Province,high-low concentration in Hainan Province,low-low concentration in Sichuan Province(P<0.05),and no significant aggregation in other regions.The income of health and social workers had statistical significance on the outpatient consultation fee,while other variables including spatial variables had no statistical significance(P>0.05).Conclusion:The global spatial autocorrelation had not been found in the outpatient consultation fees of tertiary hospitals in China.The price reform of medical services in China should pay more attention to the spatial distribution system and network support.
作者
王海银
何永超
苏晴
苏霞
张志杰
金春林
WANG Hai-yin;HE Yong-chao;SU Qing(Shanghai Health Development Research Center,Shanghai,200336,China;不详)
出处
《中国卫生经济》
北大核心
2021年第5期45-47,共3页
Chinese Health Economics
基金
上海市第四轮公共卫生三年行动计划重点学科建设计划:循证公共卫生与卫生经济学(15GWZK0901)。
关键词
医疗服务价格
空间自相关
空间回归
影响因素
medical service price
spatial autocorrelation
spatial regression
influencing factors
