1601例超长住院日分布及影响因素分析  

Analysis of Distribution and Influencing Factors of 1601 Patients with Excessively Long Hospital Stays

作　　者：吴疏影 刘泉华 Wu Shuying;Liu Quanhua(Jiujiang First People's Hospital,Jiujiang City 332000,Jiangxi Province,China)

机构地区：[1]九江市第一人民医院,江西省九江市332000

出　　处：《中国病案》2025年第1期60-65,共6页Chinese Medical Record

摘　　要：目的探讨某院超长住院日住院患者分布现状及其影响因素,为缩短平均住院日、合理利用医疗资源提供参考。方法收集某三级医院2022年1月1日-2022年12月31日80719例出院患者的住院病案首页信息,其中,住院天数≥30天定义为超长住院日,对1601例超长住院日患者的分布特征进行统计描述,运用Logistic回归模型分析其影响因素。结果超长住院日出院1601人次,占2022年所有出院人次数的1.98%。超长住院患者平均年龄65.05+11.79岁,最小3岁,最大103岁,其中男性932例,占比58.21%。超长住院患者中,肿瘤科、心血管内科人数最多,分别占15.45%和10.67%,前7位超长住院日科室累计构成比为62.46%。疾病分布以肿瘤和循环系统疾病人数最多,分别为435人次和232人次。回归显示影响超长住院的因素依次为病例分型、年龄、性别和是否有31天内再住院计划,均P<0.05,数据具有统计学意义。结论不同科室和病种对超长住院日的影响是多方面的。超长住院日受病情危重程度、年龄、性别以及是否有短期内再住院计划因素的影响,医院在关注患者的个体差异同时,要优化治疗方案、提升医疗技术水平,从而有效减少超长住院日。Objectives The purpose of this study is to explore the distribution characteristics and influencing factors of patients with excessive length of stay in a tertiary hospital to provide reference and guidance for shortening the average length of stay and rational utilization of medical resources.Methods The inpatient medical record front-page information of 80,719 discharged patients from a tertiary hospital from January 1,2022 to December 31,2022 was collected.Among them,hospitalization days≥30 days was defined as excessive hospitalization days.The distribution characteristics of 1601 patients with excessively long hospital stays were statistically described,and the influencing factors were analyzed using the Logistic regression model.Results 1,601 patients with extended stays were discharged,accounting for 1.98%of all discharges in 2022.The average age of patients with prolonged hospital stay was 65.05+11.79 years old,with a minimum of 3 years old and a maximum of 103 years old.Among them,932 were males,accounting for 58.21%.Among patients with long hospital stays,oncology and orthopedics had the highest number of patients,accounting for 15.45%and 10.67%respectively.The top seven departments with the longest hospital stay accounted for 62.46%of the total.In terms of disease distribution,tumors and circulatory system diseases had the largest number of patients,at 435 and 232 respectively.Regression showed that the factors affecting excessively long hospitalization were case type,age,gender,and whether there was a plan for readmission within 31 days,and the data were statistically significant(all P<0.05).Conclusions Different departments and types of diseases have many impacts on excessively long hospital stays.The excessive length of hospital stay is affected by the severity of the disease,age,gender,and whether there is a plan to be re-hospitalized in the short term.While paying attention to individual differences among patients,hospitals should optimize treatment plans and improve medical technology to effecti

关 键 词：超长住院日 影响因素 LOGISTIC回归模型 

分 类 号：R197.3[医药卫生—卫生事业管理]