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山东大学学报 (医学版) ›› 2021, Vol. 59 ›› Issue (1): 102-107.doi: 10.6040/j.issn.1671-7554.0.2020.0983

• 公共卫生与管理学 • 上一篇    下一篇

基于广义估计方程的某三甲医院超长住院日影响因素分析

李向一1,王清亮1,张永媛1,刘盈君1,费剑春1,杨杰1,张义2   

  1. 山东大学齐鲁医院 1. 医务处;2. 检验科, 山东 济南 250012
  • 发布日期:2021-01-09
  • 通讯作者: 张义. E-mail:zhangyi-3144@163.com杨杰. E-mail:yang64662003@163.com
  • 基金资助:
    山东大学齐鲁医院住院医师规范化培训创新性研究专项(ZPZX2017A05)

Analysis of influencing factors of prolonged length of stay in a tertiary hospital based on generalized estimation equation

LI Xiangyi1, WANG Qingliang1, ZHANG Yongyuan1, LIU Yingjun1, FEI Jianchun1, YANG Jie1, ZHANG Yi2   

  1. 1. Medical Department;
    2. Laboratory Department, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
  • Published:2021-01-09

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摘要： 目的 基于广义估计方程(GEE)探讨超长住院日患者的分布特征及影响因素。 方法 收集济南市某三甲医院2015年1月1日至2019年12月31日期间全部出院患者的病案首页信息,采用GEE模型对超长住院日的影响因素进行分析。 结果 近5年超长住院日患者共计7 613人次,占纳入分析人次的1.00%。超长住院日患者人数分布较高的科室为肿瘤中心、小儿内科和普通外科,疾病类目以肿瘤(C00-D48)为主;GEE模型结果显示,年龄、性别、入院途径、住院期间转科、合并症、手术、非计划再住院、离院方式是超长住院日的影响因素。 结论 超长住院日对整体平均住院日影响严重,医院应对超长住院日患者加强管理,缩短平均住院日,提高医疗资源利用率。

关键词: 超长住院日, 广义估计方程, 分布特征, 影响因素, 医院管理

Abstract: Objective To analyze the distribution characteristics and risk factors of inpatients with prolonged length of stay based on generalized estimation equation(GEE). Methods Medical records of inpatients treated in a tertiary hospital in Jinan during Jan. 1, 2015 and Dec. 31, 2019 were collected. The influencing factors of prolonged length of stay were analyzed with GEE. Results A total of 7 613 inpatients with prolonged length of stay were enrolled, accounting for 1.00% of all patients included in the analysis. The departments with the highest number of patients with prolonged length of stay were Cancer Center, Departments of Pediatrics and General Surgery, and most patients had tumors. GEE showed that age, gender, admission route, inter-department transfer, comorbidities, surgeries, unplanned readmission, and discharge route were influencing factors of prolonged length of stay. Conclusion Prolonged length of stay has a significant impact on the overall average length of stay. Effective measures should be taken to strengthen the management of such patients, shorten the average length of stay and improve the utilization of medical resources.

Key words: Prolonged length of stay, Generalized estimation equation, Distribution characteristics, Influencing factors, Hospital administration

中图分类号: 

  • R197.3
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