Table 3.

Logistic Regression Analysis of Bortezomib Utilization

	Model 1			Model 2			Model 3
Independent Variables	aOR	95% CI	Wald x2	aOR	95% CI	Wald x2	aOR	95% CI	Wald x2
Race
White	Ref			Ref			Ref
Black	0.76	0.69–0.83	34.74***	0.70	0.64–0.77	50.61***	0.79	0.72–0.88	19.17***
Sex
Male	Ref			Ref			Ref
Female	0.88	0.83–0.94	13.31**	0.95	0.89–1.02	1.72	0.98	0.91–1.05	0.36
Year of Diagnosis (per year)	1.19	1.17–1.20	655.75***	1.21	1.19–1.23	724.01***	1.21	1.19–1.23	696.60***
Age (per year)				0.93	0.92–0.93	820.05***	0.92	0.92–0.93	808.99***
Performance Status
Normal				Ref			Ref
Poor				0.63	0.57–0.70	81.70***	0.65	0.59–0.72	68.21***
CCI (per comorbidity)				0.89	0.87–0.92	69.32***	0.90	0.88–0.93	55.56***
MHI (per $10,000)							1.05	1.04–1.07	42.40***
Medicaid
No							Ref
Yes							0.77	0.69–0.86	21.41***
Urban/Rural Status
Metro							Ref
Urban							0.98	0.89–1.09	0.10
Rural							0.78	0.60–1.00	3.71
Wald x2	706.78(3)***			1721.01(6) ***			1733.10(10) ***
R2	0.06			0.1663			0.1722
Change in R2				0.10			0.01

Note: Model 1= Demographic Variables; Model 2= Demographic & Overall Health Variables; Model 3= Demographics, Overall Health, & Access Barrier Variables; CCI= Charlson Comorbidity Index; MHI= Median Household Income; Ref = Reference;

^*= p < 0.01;

^**= p < 0.001;

^***= p < 0.0001.