Png May Ee, Yoong Joanne, Chen Cynthia, Tan Chuen Seng, Tai E Shyong, Khoo Eric Y H, Wee Hwee Lin
a National University of Singapore , Saw Swee Hock School of Public Health , Singapore.
b University of Southern California, Center for Economic and Social Research , Washington , DC , USA.
Curr Med Res Opin. 2018 Jun;34(6):1071-1080. doi: 10.1080/03007995.2018.1431617. Epub 2018 Feb 20.
To examine the risk factors and direct medical costs associated with early (≤30 days) versus late (31-180 days) unplanned readmissions among patients with type 2 diabetes in Singapore.
Risk factors and associated costs among diabetes patients were investigated using electronic medical records from a local tertiary care hospital from 2010 to 2012. Multivariable logistic regression was used to identify risk factors associated with early and late unplanned readmissions while a generalized linear model was used to estimate the direct medical cost. Sensitivity analysis was also performed.
A total of 1729 diabetes patients had unplanned readmissions within 180 days of an index discharge. Length of index stay (a marker of acute illness burden) was one of the risk factors associated with early unplanned readmission while patient behavior-related factors, like diabetes-related medication adherence, were associated with late unplanned readmission. Adjusted mean cost of index admission was higher among patients with unplanned readmission. Sensitivity analysis yielded similar results.
Existing routinely captured data can be used to develop prediction models that flag high risk patients during their index admission, potentially helping to support clinical decisions and prevent such readmissions.
研究新加坡2型糖尿病患者早期(≤30天)与晚期(31 - 180天)非计划再入院的危险因素及直接医疗费用。
利用一家当地三级护理医院2010年至2012年的电子病历,调查糖尿病患者的危险因素及相关费用。采用多变量逻辑回归确定与早期和晚期非计划再入院相关的危险因素,同时使用广义线性模型估计直接医疗费用。还进行了敏感性分析。
共有1729例糖尿病患者在首次出院后180天内出现非计划再入院。首次住院时长(急性疾病负担的一个指标)是与早期非计划再入院相关的危险因素之一,而患者行为相关因素,如糖尿病相关药物依从性,与晚期非计划再入院相关。非计划再入院患者的首次住院调整后平均费用更高。敏感性分析得出了相似的结果。
现有的常规收集数据可用于开发预测模型,在患者首次住院期间识别高危患者,这可能有助于支持临床决策并预防此类再入院情况。