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新疆某三级甲等医院肺癌患者超长住院日影响因素分析 被引量:2

Analysis on Influencing Factors of the Length of Hospitalization Lung Cancer in Certain Third-Level Hospital in Xinjiang
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摘要 目的分析新疆某医院影响肺癌患者住院日的主要影响因素,为医院缩短住院日提供思路。方法从医院信息系统中调取2016—2018年肺癌患者出院信息,以住院天数≥30天患者为超长住院组,住院天数<30天患者为正常组,利用非条件Logistic回归模型分析肺癌患者超长住院日的影响因素。结果对2100例遵医嘱出院的患者进行分析,超长组患者共计220例,常规组患者共计1880例。回归结果显示,肿瘤分期、治疗方案、会诊、输血、抢救情况、手术等级、切口等级以及疑难病例是肺癌患者超长住院日的影响因素(均P<0.05)。结论医院应针对超长住院日患者产生影响的各种因素进行管理,优化诊疗流程,提高医务人员业务能力,更加科学有效地减少超长住院日的发生。 Objective To find the reasons for influencing the length of hospital stay and put forward to methods to shorten the hospitalization days.Methods The lung cancer patients'information from 2016 to 2018 were extracted from hospital information system.Patients with hospitalization days≥30 days were regarded as length of hospital stay group,and the patients with the hospitalization days<30 days were the normal group.Non-conditional logistic regression model were used to analysis the influencing factors of hospital overstay.Results 2100 patients discharged according to the doctor's advice were analyzed.There were 220 patients in the length of hospital stay group,and 1880 patients in the normal group.Regression analysis results showed that tumor stage,treatment plan,consultation,blood transfusion,rescue,surgical grade,incision grade and difficult cases were the influencing factors of length of hospital stay with lung cancer(P<0.05).Conclusion The hospital should strengthen the key monitoring of patients with influencing factors,optimize the diagnosis and treatment process,improve the professional ability of medical staff,and reduce the occurrence of extra long hospitalization days more scientifically and effectively.
作者 闫慈 任劲 吴睿豪 张茜 YAN Ci;REN Jin;ZHANG Qian(Information Management Center,Affiliated Tumor Hospital of Xinjiang Medical University,Urumqi,830000,China)
出处 《中国社会医学杂志》 2020年第6期669-672,共4页 Chinese Journal of Social Medicine
基金 新疆自治区创新环境(人才、基地)建设专项——科技创新基地建设(资源共享平台建设)(PT1904)。
关键词 肺癌患者 超长住院日 影响因素 Lung cancer patients Length of hospital stay Influencing factors
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