Mohamad B. Taha|Aroop Pal|Jonathan D. Mahnken|Sally K. Rigler
Derivation and validation of a formula to estimate risk for 30-day readmission in medical patients
University of Kansas|University of Kansas|University of Kansas|University of Kansas
create simple readmission riskprediction tool generated easily bedside physicians nurses care coordinators discharge plannersretrospective cohort studytertiary academic medical centerinpatients aged 18 older general internal medicine servicespredictor variables included age prior hospitalization highrisk diagnoses highrisk medications polypharmacy depression use palliative care cumulative score summing factors readmission risk scorerrs main outcome measure 30day readmission predictive values calculatedreadmission increased linearly 49 whose rrs score 0375 highest risk scores p 00002 derived simple formula readmission risk 8 4 additional readmission risk factor positive predictive value rrs 0 low negative predictive value cutoff 95an easily calculated 7point score used estimate readmission risk tool may particularly useful identifying lower risk patients may require intensive intervention thus aiding appropriate targeting resources