Key result
The ACC Admission and Discharge Models demonstrated modest discrimination ability for predicting 30-day hospital readmission, achieving C-statistics of 0.76 and 0.78 during external validation.
Observational
Yes
Effect estimate: C-statistic 0.76 and 0.78
A newly developed public-private partnership risk prediction model for 30-day hospital readmission achieved C-statistics of 0.76 and 0.78, improving upon average existing models.
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Should not yet guide readmission prevention; leaves open need for prospective validation and refinement.
Choudhry et al. (2013) conducted an observational in Hospital readmission. ACC Admission and Discharge Models was evaluated on Discrimination ability for 30-day hospital readmission risk (C-statistic 0.76 and 0.78). The ACC Admission and Discharge Models demonstrated modest discrimination ability for predicting 30-day hospital readmission, achieving C-statistics of 0.76 and 0.78 during external validation.
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