Table 5.

Adjusted logistic regression models with stepwise models including demographics in model 1, tumor characteristics in model 2, and dual enrollment in model 3

	Model 1 Adjusted for demographics			Model 2 Additional adjustment for tumor characteristics			Model 3 Additional adjustment for dual enrollment
Characteristic	OR	95% CI	P value*	OR	95% CI	P value*	OR	95% CI	P value*
Redlining category			<.001*			<.001*			.0091*
Low	—	—		—	—		—	—
Moderate	0.93	0.89, 0.99	.0111	0.96	0.91, 1.02	.1264	0.98	0.93, 1.04	.5042
High	0.82	0.76, 0.88	<.001	0.85	0.79, 0.91	<.001	0.89	0.82, 0.95	.0022
Moderate vs high†			<.001			<.001			.0085
SEER Race/Ethnicity			<.001*			<.001*			<.001*
NH White	—	—		—	—		—	—
NH Black	0.66	0.61, 0.72	<.001	0.71	0.66, 0.78	<.001	0.78	0.71, 0.84	<.001
NH Asian	0.98	0.81, 1.14	.7642	0.98	0.81, 1.12	.7816	1.09	0.92, 1.24	.2296
Hispanic	0.91	0.79, 1.03	.1931	0.96	0.85, 1.08	.4804	1.09	0.96, 1.25	.2072
NH Black vs NH Asian†			<.001			<.001			<.001
SEER-Medicare age group			<.001‡			<.001‡			<.001‡
66-70 y	—	—		—	—		—	—
71-75 y	1.14	1.08, 1.23	<.001	1.13	1.06, 1.22	<.001	1.13	1.06, 1.21	<.001
76-80 y	0.82	0.76, 0.87	<.001	0.82	0.76, 0.87	<.001	0.82	0.77, 0.87	<.001
81-85 y	0.47	0.42, 0.51	<.001	0.48	0.43, 0.53	<.001	0.48	0.43, 0.53	<.001
86-90 y	0.20	0.18, 0.22	<.001	0.22	0.19, 0.24	<.001	0.22	0.19, 0.24	<.001
71-75 vs 86-90 y†			<.001			<.001			<.001
Dual enrollment									<.001‡
No							—	—
Yes							0.64	0.58, 0.71	<.001

Abbreviations: OR = odds ratio; SEER = Surveillance, Epidemiology, and End Results.

^⁎Obtained from generalized linear regression model with cluster bootstrap.

^†Comparison of nonreferent groups with highest discrepancy between ORs was added as post hoc analysis.

^‡Global P value.

Model also adjusted for comorbidities, stage, breast receptor subtype, census region, and year of diagnosis.