Key result
A 7-factor prediction model identified 5.1% of general medicine patients with a score ≥25 who had a ~30% risk of 30-day hospital readmission, with fair discrimination (c-statistic 0.61-0.65).
Population
10,946 adult patients discharged home from general medicine services at six academic medical centers…
Design
Cohort
Follow-up
30 days
Authors
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May flag high-risk patients for targeted follow-up; leaves open impact on readmissions pending validation.
Cohort (n=10,946)
Yes
A simple 7-factor prediction model using easily available admission data can identify general medicine patients at high risk for 30-day hospital readmission, though overall model discrimination is fair.
Hasan et al. (2009) conducted a cohort in General medicine patients at risk of hospital readmission (n=10,946). 7-factor readmission risk prediction model was evaluated on 30-day hospital readmission. A 7-factor prediction model identified 5.1% of general medicine patients with a score ≥25 who had a ~30% risk of 30-day hospital readmission, with fair discrimination (c-statistic 0.61-0.65).
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