TABLE 4.

Estimated Odds Ratios for Random Effects Multinomial Logistic Regression Model of Readmissions in 6 Months, by Hospital-Level Factors^a

Hospital-Level Factors	Logit 1				Logit 2
	One Readmission vs. No Readmissions				Two or More Readmissions vs. No Readmissions
	AOR	95% CI		p	AOR	95% CI		p
Total beds
Low (referent)	1.00				1.00
Medium	0.92	0.60	1.41	.70	1.05	0.64	1.72	.86
High	0.54	0.28	1.03	.06	0.37	0.17	0.80	.01
Ownership
Private not for profit (referent)	1.00				1.00
Public	1.08	0.79	1.49	.63	1.16	0.71	1.90	.55
Private for profit	1.18	0.94	1.48	.15	1.22	0.90	1.64	.20
Medicaid enrollees among annual discharges
Low (referent)	1.00				1.00
Medium	0.80	0.65	0.97	.02	1.06	0.79	1.40	.71
High	0.62	0.47	0.84	.002	0.81	0.52	1.25	.33
Teaching status
Teaching	0.99	0.77	1.27	.92	1.32	0.94	1.86	.10
Nonteaching (referent)	1.00				1.00
Primary type
Psychiatric	1.00	0.65	1.54	.98	0.64	0.32	1.25	.19
General (referent)	1.00				1.00

Note: Overall model χ² = 851.52, df = 72, p < .001. Base referent category for the dependent variable is no readmission in 6 months. Vs = versus.

^aMultinomial logistic regression for adjusted odds ratios (AORs) included all patient-, hospital-, and community-level factors presented in Tables 3 to 5.