摘要
目的分析某妇幼保健院住院超过30 d患者的分布特征和影响因素,为缩短平均住院日及医院管理决策提供数据支持。方法收集某妇幼保健院2017年出院患者电子病案首页信息,对住院超过30 d患者的性别、年龄、出院科室、疾病分类、付款方式等情况进行回顾性分析。结果住院超过30 d患者共1 252例,占出院患者总数的1.69%。以新生儿科最多,占34.27%。病种以起源于围生期疾病、先天性畸形和肿瘤最多,分别占34.90%、12.94%和11.26%。多变量logistic回归分析显示,女性、年龄、是否转科、手术、付款方式、出院转归和ICD分类对住院超过30 d的影响具有统计学意义(P<0.05)。结论医疗管理部门应对超长住院患者重点管理,缩短平均住院日,从而优化医疗资源。
Objective To analyze the characteristics and influencing factors of inpatients staying over 30 days in a Women and Children Hospital, and to provide data reference for the decrease of average hospitalization days and decision-making. Methods Data from the first pages of medical records of inpatients discharged in 2017 were selected from a Women and Children Hospital, and patients staying over 30 days were retrospectively analyzed on the items such as age, gender, discharge department, disease classification, payment method and so on. Results Totally 1 252 patients stayed over 30 days, accounting for 1.69% of all patients. Neonatal patients were the most, accounting for 34.27%. The first three disease categories were neonatal disease, congenital malformations and tumor, accounting for 34.90%, 12.94% and 11.26% respectively. Multivariate logistic regression analysis showed that female, age, transfer during hospitalization, surgery, payment method, discharge way, and classification of diseases had statistical significance to hospitalization over 30 days ( P <0.05). Conclusion Medical management departments should strengthen the management of over-long patients, and shorten average length of stay in hospital, and optimize medical resources.
作者
孙红霞
王芳
Sun Hongxia;Wang Fang(Medical Record Management Department, the Third Affiliated Hospital of Zhengzhou University (Henan Maternal and Child Health Care Hospital), Zhengzhou 450052, China)
出处
《中国医院统计》
2019年第2期123-126,共4页
Chinese Journal of Hospital Statistics
关键词
平均住院日
分布特征
LOGISTIC回归
average length of stay
distribution characteristics
logistic regression