Table 3.

C-Statistics from Logistic Regression Models Predicting Community Discharge in three Impairment Categories.

Model	Stroke C-statistic 95% CI	Fracture C-statistic 95% CI	Joint Replacement C-statistic 95% CI
Base Model	0.589 (0.583 – 0.595)	0.610 (0.604 – 0.616)	0.629 (0.618 – 0.641)
Base Model + Discharge Function	0.861 (0.860 – 0.867)	0.831 (0.829 – 0.837)	0.878 (0.871 – 0.884)
Base Model + Discharge Function + Charlson	0.871 (0.868 – 0.877)	0.835 (0.830 – 0.838)	0.887 (0.880 – 0.891)
Base Model + Discharge Function + Tier	0.870 (0.869 –0.867)	0.833 (0.829 – 0.837)	0.885 (0.881 – 0.893)
Base Model + Discharge Function + FCI	0.873 (0.870 – 0.877)	0.837 (0.834 – 0.841)	0.888 (0.881 – 0.895)
Base Model + Discharge Function + Elixhauser	0.874 (0.871 – 0.880)	0.839 (0.832 – 0.842)	0.889 (0.882 – 0.896)
Base Model + Discharge Function + HCC	0.879 (0.873 – 0.885)	0.841 (0.837 – 0.848)	0.890 (0.884 – 0.897)

Base model included age, gender, race, Medicare qualifying disability, dual eligibility and length of stay. Charlson: Charlson Comorbidity Index; Tier: CMS-Tier; FCI: Functional Comorbidity Index; Elixhauser: Elixhauser Comorbidity Index; HCC: CMS-Hierarchical Condition Category.