4.4 Article

Predictors of Hospital Length of Stay and Readmissions in Ischemic Stroke Patients and the Impact of Inpatient Medication Management

期刊

JOURNAL OF STROKE & CEREBROVASCULAR DISEASES
卷 25, 期 8, 页码 1939-1951

出版社

ELSEVIER
DOI: 10.1016/j.jstrokecerebrovasdis.2016.04.011

关键词

Inpatient medication therapy management; medication reconciliation; stroke; model of care; ischemic stroke

资金

  1. Blue Cross Blue Shield of Michigan Foundation

向作者/读者索取更多资源

Objective: This study was designed to evaluate predictors of hospital length of stay (LOS) and readmissions among nonsurgical ischemic stroke patient, and the impact of inpatient medication management. Methods: This retrospective cohort study includes adult patients (>= 18 years) hospitalized with a diagnosis of nonsurgical ischemic stroke from November 2007 to March 2013. In November 2011, an inpatient medication management model was implemented in the stroke unit. At the end of the study period, patients were matched before and after implementation of the inpatient medication management model (non-PHC [pharmacist-hospitalist collaborative] and PHC, respectively) to evaluate change in outcomes. The primary outcome of the study is an evaluation of predictive factors affecting LOS and readmissions. Additionally, changes in LOS and all-cause readmission at 30, 60, and 90 days when compared between PHC and non-PHC were evaluated. Findings: A total of 151 PHC patients were matched to 248 non-PHC patients. There was no difference in LOS between the PHC and non-PHC patients (mean adjusted difference -.14; P = .66). Similar finding was observed for readmissions (P > .05). Insurance type was a significant predictor of LOS, with Medicare patients having an extended LOS compared to patients with private insurance (mean difference -1.00; P = .005). Patients taking statins and patients aged less than 80 years had a lower 30-day readmission rate compared to nonstatin users and patients aged 80 years or older, respectively (P < .05). Conclusions: Insurance type and severity of illness are important predictors of LOS, whereas readmissions are mostly influenced by age and statin use.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据