Table 3.

Breast Cancer–Specific Survival: Cox Proportional Hazards Modeling Results for Time From Biopsy-Confirmed Diagnosis to Treatment ≥ 60 Days Versus 0 to 59 Days Stratified by Stage at Diagnosis (N = 1,786)

Variables Added Into Model*	Early Stage (n = 1,065)			Late Stage (n = 721)
	HR	95% CI	P	HR	95% CI	P
Crude	0.58	0.14 to 2.45	.46	1.42	0.81 to 2.48	.22
Factor adjustment
Patient sociodemographics
Age, race, marital status, and year at diagnosis	0.58	0.14 to 2.44	.46	1.37	0.78 to 2.41	.27
County-level metropolitan and HPSA status†	0.60	0.35 to 2.55	.49	1.35	0.77 to 2.37	.30
Patient tumor-specific characteristics
Stage, tumor size, and hormone receptor status†	0.56	0.13 to 2.38	.43	1.68	0.95 to 2.98	.07
Patient comorbidities
Charlson comorbidity index and disability status†	0.54	0.13 to 2.31	.41	1.66	0.94 to 2.95	.08
Setting of care
Assisted living and home health†	0.56	0.13 to 2.40	.44	1.67	0.94 to 2.97	.08
Treatment type
Surgery type, chemotherapy, radiation, and hormonal therapy†	0.56	0.12 to 2.53	.45	1.90	1.06 to 3.41	.03
Procedures/consultations between diagnosis and treatment
Additional biopsies, medical imaging, hospitalizations, and ED visits†‡	0.61	0.13 to 2.72	.51	1.81	1.01 to 3.36	.05
Final parsimonious model§	0.60	0.14 to 2.61	.49	1.85	1.04 to 3.27	.04

Abbreviations: ED, emergency department; HPSA, health professional shortage area; HR, hazard ratio.

^*Each model includes the variables from the model above it.

^†N = 1,778 because eight patients were missing information related to county of residence.

^‡Fully adjusted model.

^§The final parsimonious model included age, stage, tumor size, hormone receptor status, Charlson comorbidity index, surgery type, and radiation therapy.