Open Access<p>Composite Outcomes of Mortality and Readmission in Patients with Heart Failure: Retrospective Review of Administrative Datasets</p>
Author(s) -
Afsaneh Roshanghalb,
Cristina Mazzali,
Emanuele Lettieri
Publication year - 2020
Publication title -
journal of multidisciplinary healthcare
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.65
H-Index - 30
ISSN - 1178-2390
DOI - 10.2147/jmdh.s255206
Subject(s) - medicine , logistic regression , emergency medicine , heart failure , covariate , cohort , retrospective cohort study , linear discriminant analysis , data extraction , stepwise regression , medline , machine learning , artificial intelligence , computer science , political science , law
Controlling the quality of care through readmissions and mortality for patients with heart failure (HF) is a national priority for healthcare regulators in developed countries. In this longitudinal cohort study, using administrative data such as hospital discharge forms (HDFs), emergency departments (EDs) accesses, and vital statistics, we test new covariates for predicting mortality and readmissions of patients hospitalized for HF and discuss the use of combined outcome as an alternative.