四川大学华西医院呼吸科门诊入院优先级决策影响因素的Logistic回归分析  

Identification of the influencing factors of admission priority decision in department of respiration in West China Hospital based on logistic regression

作　　者：李佳玲 申文武[2] 罗利 LI Jialing;SHEN Wenwu;LUO Li(Business School of Sichuan University,Chengdu,610064,P.R.China;Outpatient Department,West China Hospital,Sichuan University,Chengdu,610041,P.R.China)

机构地区：[1]四川大学商学院,成都610064 [2]四川大学华西医院门诊部,成都610041

出　　处：《中国循证医学杂志》2019年第1期7-11,共5页Chinese Journal of Evidence-based Medicine

基　　金：国家自然科学基金项目(编号:71532007);四川省科技计划支撑项目(编号:2016FZ0080)

摘　　要：目的通过住院患者相关历史数据,建立Logistic回归模型,识别患者入院排程决策的影响因素,并和现有排程规则进行对比,找出差异和不足。方法以2016年1月1日至2016年12月31日四川大学华西医院呼吸科门诊就诊与申请入院的患者信息为基础,对原始数据进行标准化处理,利用R软件和"glm包"建立二元多因素Logistic回归模型。结果经多因素Logistic回归分析发现医保类型、入院申请时间、等候时间、疾病类型和收治优先级这5个变量对患者入院排程的影响均有统计学意义。结论本研究构建的Logistic回归模型结果对于患者入院排程具有良好的效果,有利于通过识别因素为入院排程提供决策支持。Objectives Based on the historical data of inpatients, a logistic regression model was established. It aimed to identify the influencing factors of patient’s admission scheduling decisions and compare them with the actual scheduling rules, so as to discover the differences and deficiencies. Methods We extracted data of outpatients and inpatients in Department of Respiration in West China Hospital of Sichuan University from January 1 st, 2016 to December 31st, 2016, and standardized the original dataset. We established the binary multivariate logistic regression model through R software and ‘glm’ package. Results The analysis of multi-factor logistic regression showed that the effect of the five variables(type of medical insurance, time of registration, waiting time, type of disease and admission priority) onpatient schedule was statistically significant. Conclusions The logistic regression model constructed in this study has a good effect on patient planning, which is helpful to provide decision support for admission schedule through identification factors.

关 键 词：LOGISTIC回归 入院排程 优先级决策 影响因素 

分 类 号：R197.323[医药卫生—卫生事业管理]