江苏省卫生总费用影响因素的灰色关联分析  

Grey Correlation Analysis of Influencing Factors of Total Health Expenditure in Jiangsu Province

作　　者：沈艳[1] 宋宝香[1] 熊季霞[1] SHEN Yan;SONG Bao-xiang;XIONG Ji-xia(Nanjing University of Chinese Medicine,Nanjing 210023,China)

机构地区：[1]南京中医药大学,南京210023

出　　处：《经济研究导刊》2021年第7期55-57,72,共4页Economic Research Guide

基　　金：2019年江苏省决策咨询研究基地项目“大数据背景下健康医疗信息化复合型人才队伍建设研究”(19SSL031);江苏省软科学项目“医药类高校科技成果转化的管理机制研究”(BR2019052);国家自然科学基金青年项目“数字健康时代新兴医疗信息技术使用对医生工作绩效的影响研究:基于适应性结构化理论的视角”(71702078)。

摘　　要：运用灰色关联分析方法,分析2008—2017年江苏省卫生总费用的影响因素。结果显示,与江苏省卫生总费用灰色关联度最高的指标是人均GDP,其次是医疗机构入院人数和医疗机构诊疗人次,然后是人均门诊费用和人均住院费用,老龄人口占比和常住人口数与其关联度最低。经济因素、卫生服务因素、患者个体因素、人口社会因素等都会对卫生总费用产生影响,虽然人口社会因素与江苏省卫生总费用的灰色关联度不高,但仍不可忽视。Using grey correlation analysis method,To analyze the influencing factors of total health expenditure in Jiangsu province from 2008 to 2017.The results show that,the indicators with the highest correction with total health expenditure was per capita GDP,followed by the number of people admitted to medical institutions and the number of people treated in medical institutions,and then the average outpatient fees and per capita hospitalization expenses.The proportion of the elderly population and the number of permanent residents are the lowest.Conclusion:Economic factors,health service factors,individual factors of patients,population and social factors will all have an impact on the total health expenditure.Although the correlation between population and social factors and the total health expenditure of Jiangsu province is not high,it still cannot be ignored.

关 键 词：卫生总费用 影响因素 灰色关联 

分 类 号：R197.1[医药卫生—卫生事业管理]