老年人住院依赖性预测模型的研究  

Preliminary study on a forecasting model of hospitalization dependence in senile patients

在线阅读下载全文

作  者:吴亦影[1] 施念玮[1] 倪秀石[1] 邹妮[1] 黄善慧 

机构地区:[1]上海交通大学附属第一人民医院老年科,上海市200080

出  处:《老年医学与保健》2013年第4期243-245,250,共4页Geriatrics & Health Care

基  金:上海市干部保健局科研软课题(编号:2011GB12)

摘  要:目的建立住院依赖性的预测模型,探讨住院依赖性发生的影响因素。方法收集167例老年科住院患者的资料,采用非条件Logistic回归分析,筛选产生住院依赖性的影响因素,建立预测模型,并对预测模型进行评价。结果构建的Logistic回归模型为Logit(P)=LnLP/(1-P)]=-11.131+2.640X2+1.853 X4+2.152 X5+1.866 X7-1.213 X10-1.748X16。该模型预测住院依赖性的灵敏度71.9%,特异度91.2%,准确度为83.8%。结论年龄、婚姻状况、同住者、合并症、生活自理能力和焦虑抑郁状态影响住院依赖性的发生,本研究得到的Logistic回归模型对临床工作有一定参考价值。Objective To explore the factors of hospitalization dependence in senile patients and establish a forecasting model for hospitalization dependence. Methods Data were collected from 167 hospitalized patients at department of Geri-atrics. Logistic regression was used to screen variables statistically significant to hospitalization dependence. The forecasting model was checked by returning original materials. Results The equation of forecasting model was: Logit (P) = Ln [P/ (l-P)] =-11.131 +2.640X2 + 1.853X4+2.152X5 + 1.866X7-1.213X10-1.748X16. Sensitivity, specificity and accuracy of the equation were 71.9%, 91.2%, and 83.8%, respectively. Conclusions Age, marital status, lives with, burden of chronic disease, functional dependence, anxious and depressive mood are associated with incidence of hospitalization de-pendence. The model has the potential to be used in clinical.

关 键 词:住院依赖性 LOGISTIC回归 预测模型 

分 类 号:R857.11[医药卫生—航空、航天与航海医学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象