Title
Predictors of Readmission in Heart Failure Patients Vary by Cause of Readmission: Hospital-Level Cause-Specific Readmission Rates Show No Correlation
Abstract
Heart failure (HF) is a common condition with an associated high mortality and morbidity. Many patients are elderly and comorbidity is common. Readmission metrics typically combine all causes and look at 30 days, an arbitrary period. Less is known about other follow-up lengths, whether the predictors change over time or if combining all causes of readmission loses key information. We used national linked English data on 74,629 patients discharged alive from their first (index) HF admission during 2008-10. Following them up within the data set for a year, we found that several predictors for readmission for HF differ from those for other causes and that the effect of length of stay is complicated. This is reflected in the lack of correlation in hospital-level rates for HF and non-HF causes. This suggests that heart failure patients are not always managed holistically. Consideration should be given to stratifying by readmission cause.
Year
DOI
Venue
2013
10.1109/ICHI.2013.88
ICHI
Keywords
Field
DocType
readmission metrics,heart failure,hf admission,show no correlation,follow-up length,arbitrary period,heart failure patient,english data,common condition,patients vary,hospital-level cause-specific readmission rates,predictors change,readmission cause,cardiology
Heart failure,Emergency medicine,Intensive care medicine,Correlation,Comorbidity,Patient care,Discharged alive,Medicine
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Alex Bottle111.36
Paul Aylin211.02
Derek Bell3223.85