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基于多元回归分析的住院费用影响因素研究 被引量:18

Research on the patients hospitalization expenses based on multiple regression analysis
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摘要 目的分析重庆市患者住院费用的影响因素。方法运用SQL Server 2008R2提取2014-2015年出院病人量前15位医院的2 167 818例住院患者相关信息,并对数据进行预处理,再运用SAS9.2软件,通过方差分析对各因素分类间进行单因素分析,通过多元线性逐步回归法分析住院费用影响因素。结果性别、年龄、住院时间、是否抢救、是否输血、入院病情、离院方式、操作类别、有无其他诊断9个因素与住院费用相关,差异有统计学意义(P<0.000 1);各因素对住院费用影响从大到小依次为住院时间、操作类别、是否输血、年龄、离院方式、有无其他诊断、性别、是否抢救、入院病情。结论住院时间、操作类别、是否输血可能是住院费用最重要的影响因素。 Objective To analyze the influencing factors of hospitalization expenses of patients in Chongqing.Methods SQL Server 2008 R2 was used to extract information on 2 167 818 inpatients from the top 15 hospitals discharged from 2014 to 2015,and the data was pre-processed.Then SAS9.2 software was used to analyze the factors among the categories by analysis of variance.Univariate analysis was used to analyze the influencing factors of hospitalization expenses by multiple linear stepwise regression.Results Gender,age,hospitalization days,whether to rescue,whether blood transfusion,admission,hospitalization,operation,and other factors were associated with hospitalization costs,the difference was statistically significant(P<0.000 1);According to the importance degree,the influencing factors related to hospitalization expenses were hospitalization time,operation type,blood transfusion,age,hospitalization method,presence or absence of other diagnosis,gender,rescue,admission condition.Conclusion Hospitalization time,type of operation,and whether blood transfusion might be the most important factor in hospitalization costs.
作者 宋萍 李准 徐雨晨 许小兰 SONG Ping;LI Zhun;XU Yuchen;XU Xiaolan(Medical Records and Statistics Room,Children′s Hospital of Chongqing Medical University,Chongqing 400014,China;Department of Statistical and Development Research,Chongqing Health Information Center,Chongqing 401120,China)
出处 《重庆医学》 CAS 2018年第30期3923-3927,3932,共6页 Chongqing medicine
基金 重庆市科委社会事业与民生保障科技创新专项(cstc2015shmszx120011)
关键词 回归分析 住院费用 影响因素 疾病诊断相关分组 egression analysis hospitalization expenses influencing factor diagnosis related groups
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