多元线性回归模型在临床路径研制中的应用  

APPLICATION OF MULTIVARIATE LINEAR REGRESSION MODEL IN DEVELOPMENT OF CLINIC PATHS

作　　者：韩彩欣[1] 曹志辉[1] 高仕军[1] 郑贺英[2] 

机构地区：[1]华北煤炭医学院管理系,唐山063000 [2]华北煤炭医学院附属医院

出　　处：《现代预防医学》2009年第3期463-464,共2页Modern Preventive Medicine

基　　金：河北省科技厅软科学研究项目(05457200)

摘　　要：[目的]探索影响住院天数的可控和不可控因素,为临床路径确定合理的住院天数提供理论依据。[方法]以沧州市2所医疗机构2004年出院的137名胆结石住院患者的病案首页信息为研究样本,采用多元线性回归分析方法探索与住院天数关系密切的各种因素。[结果]模型中有统计学意义的因素包括术前住院天数、手术方式、有无医院感染、年龄和入院时情况。[结论]选择比较单纯的外科病种作为临床路径的对象;根据手术方式、年龄和入院时情况等因素制订不同版本的临床路径;采取必要措施,降低术前住院天数和医院感染率。[ Objective] To explore controllable and uncontrollable factors which influence hospitalization days and propose some theoretical evidences to identify rational hospitalization days. [Methods] Medical record coverage of 137 inpatients from 2 hospitals in Cangzhou City in 2004 were sampled, and multivariate linear regression model was used to analyze all factors influenced hospitalization days. [Results] Some factors had statistical significance, such as days before surgery, surgery type, hospital infection, age and admission state. [ Conclusion] Some simple surgical diseases should be considered as objects of clinic paths. According to some influential factors, including surgery type, age group and admission state, different clinic paths should be developed. Some effective measures should be taken to decrease hospitalization days and hospital infection rate.

关 键 词：临床路径 住院时间 影响因素 

分 类 号：R195.1[医药卫生—卫生统计学]