Objective: To create a simple readmission risk-prediction tool that can be generated easily at the bedside by physicians, nurses, care coordinators and discharge planners.
Design: Retrospective cohort study.
Setting: Tertiary academic medical center.
Participants: Inpatients aged 18 and older on general internal medicine services.
Measures: Predictor variables included age, prior hospitalization, high-risk diagnoses, high-risk medications, polypharmacy, depression, use of palliative care and a cumulative score summing these factors (readmission risk score-RRS). The main outcome measure was 30-day readmission. Predictive values were calculated.
Results: Readmission increased linearly from 4.9% of those whose RRS score was 0-37.5% of those with highest risk scores (P = 0.0002). We derived a simple formula for readmission risk as 8 and 4% more for each additional readmission risk factor. The positive predictive value for RRS >0 was low, while the negative predictive value for this cutoff was 95%.
Conclusions: An easily calculated 7-point score can be used to estimate readmission risk. This tool may be particularly useful for identifying lower risk patients who may not require intensive intervention, thus aiding in appropriate targeting of resources.
Keywords: adult; comorbidity; patient readmission; polypharmacy; risk prediction.
© The Author 2014. Published by Oxford University Press in association with the International Society for Quality in Health Care; all rights reserved.