Heart Failure Readmission Risk Factors: A Modified Delphi Panel Study.

ABSTRACT:

Background

Heart failure (HF) readmission rates have been a significant concern for healthcare systems globally. Accurate predictive models are essential to identify patients at high readmission risk and implement timely interventions. Current models often lack comprehensive variables that reflect both clinical and patient and/or caregiver perspectives. We aimed to develop a consensus-driven approach to identify essential variables for inclusion in HF hospital readmission risk prediction algorithms.

Methods

A Delphi panel comprised of clinicians and patient and/or caregiver partners was assembled. The Delphi panelists were recruited from the province of Alberta, Canada. The panel consisted of 13 individuals, including 9 healthcare providers and 4 patients and/or caregivers.

SUBMITTER: Wiebe N 

PROVIDER: S-EPMC12800856 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature