Key result
A population-level prediction model for hospital readmission in children demonstrated strong discriminative ability, achieving a c statistic of 0.81 across 38 hospitals.
Population
186,856 patients between 2 and 18 years of age discharged from an index hospitalization during 2004 across…
Design
Cohort
Follow-up
365 days
Authors
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May aid pediatric readmission risk stratification; leaves open prospective validation before clinical use.
Cohort (n=186,856)
Yes
Effect estimate: c statistic 0.81
A predictive model can accurately forecast 1-year hospital readmission in pediatric patients with a c-statistic of 0.81.
Feudtner et al. (2008) conducted a cohort in Hospitalized children (n=186,856). Readmission prediction model was evaluated on Readmission to the hospital during the 365 days after discharge from the index admission (c statistic 0.81). A population-level prediction model for hospital readmission in children demonstrated strong discriminative ability, achieving a c statistic of 0.81 across 38 hospitals.
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