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Potentially Avoidable 30-Day Hospital Readmissions in Medical Patients

Potentially Avoidable 30-Day Hospital Readmissions in Medical Patients ORIGINAL INVESTIGATION HEALTH CARE REFORM Potentially Avoidable 30-Day Hospital Readmissions in Medical Patients Derivation and Validation of a Prediction Model Jacques Donze ´, MD, MSc; Drahomir Aujesky, MD, MSc; Deborah Williams, MHA; Jeffrey L. Schnipper, MD, MPH Importance: Because effective interventions to reduce Results: Among 10 731 eligible discharges, 2398 dis- hospital readmissions are often expensive to imple- charges (22.3%) were followed by a 30-day readmis- ment, a score to predict potentially avoidable readmis- sion, of which 879 (8.5% of all discharges) were identi- sions may help target the patients most likely to benefit. fied as potentially avoidable. The prediction score identified 7 independent factors, referred to as the Objective: To derive and internally validate a predic- HOSPITAL score: hemoglobin at discharge, discharge from tion model for potentially avoidable 30-day hospital re- an oncology service, sodium level at discharge, proce- admissions in medical patients using administrative and dure during the index admission, index type of admis- clinical data readily available prior to discharge. sion, number of admissions during the last 12 months, and length of stay. In the validation set, 26.7% of the pa- Design: Retrospective cohort study. tients were classified as high risk, with an estimated po- tentially http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA Internal Medicine American Medical Association

Potentially Avoidable 30-Day Hospital Readmissions in Medical Patients

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Publisher
American Medical Association
Copyright
Copyright 2013 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.
ISSN
2168-6106
eISSN
2168-6114
DOI
10.1001/jamainternmed.2013.3023
pmid
23529115
Publisher site
See Article on Publisher Site

Abstract

ORIGINAL INVESTIGATION HEALTH CARE REFORM Potentially Avoidable 30-Day Hospital Readmissions in Medical Patients Derivation and Validation of a Prediction Model Jacques Donze ´, MD, MSc; Drahomir Aujesky, MD, MSc; Deborah Williams, MHA; Jeffrey L. Schnipper, MD, MPH Importance: Because effective interventions to reduce Results: Among 10 731 eligible discharges, 2398 dis- hospital readmissions are often expensive to imple- charges (22.3%) were followed by a 30-day readmis- ment, a score to predict potentially avoidable readmis- sion, of which 879 (8.5% of all discharges) were identi- sions may help target the patients most likely to benefit. fied as potentially avoidable. The prediction score identified 7 independent factors, referred to as the Objective: To derive and internally validate a predic- HOSPITAL score: hemoglobin at discharge, discharge from tion model for potentially avoidable 30-day hospital re- an oncology service, sodium level at discharge, proce- admissions in medical patients using administrative and dure during the index admission, index type of admis- clinical data readily available prior to discharge. sion, number of admissions during the last 12 months, and length of stay. In the validation set, 26.7% of the pa- Design: Retrospective cohort study. tients were classified as high risk, with an estimated po- tentially

Journal

JAMA Internal MedicineAmerican Medical Association

Published: Apr 22, 2013

References