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Determining 30-day readmission risk for heart failure patients: the Readmission After Heart Failure scale

Authors :
Chamberlain RS
Sond J
Mahendraraj K
Lau CSM
Siracuse BL
Source :
International Journal of General Medicine, Vol Volume 11, Pp 127-141 (2018)
Publication Year :
2018
Publisher :
Dove Medical Press, 2018.

Abstract

Ronald S Chamberlain,1–5 Jaswinder Sond,1 Krishnaraj Mahendraraj,1 Christine SM Lau,1,3 Brianna L Siracuse1 1Department of Surgery, Saint Barnabas Medical Center, Livingston, 2Department of Surgery, Rutgers New Jersey Medical School, Rutgers University, Newark, NJ, USA; 3St. George’s University School of Medicine, Grenada, West Indies; 4Department of Surgery, Banner MD Anderson Cancer Center, Gilbert, AZ, USA; 5Department of Surgery, Valley Cancer Surgical Specialists, Phoenix, AZ, USA Background: Chronic heart failure (CHF), which affects >5 million Americans, accounts for >1 million hospitalizations annually. As a part of the Hospital Readmission Reduction Program, the Affordable Care Act requires that the Centers for Medicare and Medicaid Services reduce payments to hospitals with excess readmissions. This study sought to develop a scale that reliably predicts readmission rates among patients with CHF. Methods: The State Inpatient Database (2006–2011) was utilized, and discharge data including demographic and clinical characteristics on 642,448 patients with CHF from California and New York (derivation cohort) and 365,359 patients with CHF from Florida and Washington (validation cohort) were extracted. The Readmission After Heart Failure (RAHF) scale was developed to predict readmission risk.Results: The 30-day readmission rates were 9.42 and 9.17% (derivation and validation cohorts, respectively). Age 15; 12.04% readmission rate). The relative risk of readmission was 1.67 for the high-risk group compared with the low-risk group. Conclusion: The RAHF scale reliably predicts a patient’s 30-day CHF readmission risk based on demographic and clinical factors present upon initial admission. By risk-stratifying patients, using models such as the RAHF scale, strategies tailored to each patient can be implemented to improve patient outcomes and reduce health care costs. Keywords: heart failure, readmission, risk factors, risk assessment, RAHF scale, hospital readmission reduction program, HRRP, SID database

Details

Language :
English
ISSN :
11787074
Volume :
ume 11
Database :
Directory of Open Access Journals
Journal :
International Journal of General Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.51a9363a1bd8449da8db827f29d10315
Document Type :
article