某院2020年老年患者住院超30天Logistic回归分析

Logistic Regression Analysis of Senile Patients Staying in a Hospital for 30+ Days in 2020

目的 通过分析老年患者住院超30天的影响因素,为医院决策者合理利用资源,缩短平均住院日提供科学依据。方法 通过电子病历系统提取2020年1月1日-2020年12月31日年龄大于等于60岁的老年患者住院病案首页信息,共计24205人次,将住院天数>30天作为超长住院日,对老年患者进行Logistic回归分析,找出其影响因素。结果 老年患者24205人次,其中,住院超30天410人次,男女比1.68:1;老年患者超30天的系统疾病排前三位是肿瘤(27.80%)、循环系统疾病(22.68%)、损伤、中毒和外因的某些其他后果(14.88%);多因素Logistic回归分析结果显示,影响老年患者超30天的危险因素依次是发生感染、一级/特级护理天数、发生转科、有手术、有其他疾病,而参保是保护因素(P<0.05)。结论重点病种、发生感染、一级/特级护理天数、发生转科、有手术、有其他疾病的老年患者住院时间长,医院应根据提出针对性的建议,有效缩短老年患者住院天数。

Objective Through analysis of influencing factors of senile patients staying in hospital for 30+ days,To provide scientific basis for hospital’s decision makers to make reasonable use of resources and reduce average hospital stay days on the other hand.Methods Through the electronic medical record system,24205 persontimesfromthe front page information of the medical records of the elderly patients aged 60 or above in Janunary 1 st,2020 to December 31 st,2020 was extracted,and the length of stay > 30 days was regarded as the super long length of stay,and perform Logistic regression analysis on elderly patients to find out the influencing factors.Results The number of elderly patients was 24205,of which 410 were hospitalized for more than 30 days,with a male to female ratio of 1.68:1;The top three systemic diseases in elderly patients with hospitalization for more than 30 days are tumors(27.80%),circulatory system diseases(22.68%),injuries,poisonings,and some other consequences of external causes(14.88%);The results of multi-factor logistic regression analysis showed that the risk factors affecting elderly patients with more than 30 days of hospitalization were infection,first-level/intensive nursing days,transfer of department,surgery,other diseases,andinsuranceis a protective factor(P<0.05).Conclusion The length of stay of elderly patients with key diseases,infection,first-level/intensive nursing days,transfer of department,surgery and other diseases is long.The hospital should put forward targeted suggestions to effectively shorten the length of stay of elderly patients.