Incorporating patient-centered factors into heart failure readmission risk prediction: A mixed-methods study.

ABSTRACT: BACKGROUND:Capturing and incorporating patient-centered factors into 30-day readmission risk prediction after hospitalized heart failure (HF) could improve the modest performance of current models. METHODS:Using a mixed-methods approach, we developed a patient-centered survey and evaluated the additional predictive utility of the survey compared to a traditional readmission risk model (the Krumholz et al. model). Area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow goodness-of-fit statistic quantified the performance of both models. We measured the amount of model improvement with the addition of patient-centered factors to the Krumholz et al. model with the integrated discrimination improvement (IDI). In an exploratory analysis, we used hierarchical cluster

SUBMITTER: Ahmad FS 

PROVIDER: S-EPMC6004826 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature