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. Author manuscript; available in PMC: 2023 Feb 1.
Published in final edited form as: J Racial Ethn Health Disparities. 2021 Jan 11;9(1):124–134. doi: 10.1007/s40615-020-00935-z

Table 3.

Racial disparities among breast cancer patients and the odds of late receipt of surgery stratified by marital status, urban status and distance, Retrospective Cohort of South Carolina Cancer Registry, 2002 to 2010.

Stratum Race Total Early receipt
(<17 days)
794 (49.1%)
Late receipt
(≥17 days)
822 (50.1%)
Crude OR* Adjusted OR
Full model**
Adjusted OR
Final model***
Overall No (%) No (%) OR (CI) OR (CI) OR (CI)
White 1180(73.0) 606(51.4) 574(48.6) Reference Reference Reference
Black 436(27.0) 188(43.1) 248(56.9) 1.4(1.1-1.7) 1.4(1.1-1.8) 1.3 (1.0-1.7)
Stage
Local White 721(44.6) 372(51.6) 349(48.4) Reference Reference Reference
Local Black 261(16.2) 105(40.2) 156(59.8) 1.6(1.2-2.1) 1.6(1.2-2.2) 1.6(1.2-2.2)
Regional White 459(28.4) 234(51.0) 225(49.0) 1.0(0.8-1.3) 1.0(0.8-1.3) 1.0(0.8-1.3)
Regional Black 175(10.8) 83(47.4) 92(52.6) 1.2(0.8-1.6) 1.0(0.7-1.5) 1.0(0.7-1.5)
Diagnosis year
2002-2004 White 354(21.9) 208(58.8) 146(41.2) Reference Reference Reference
2002-2004 Black 116(7.2) 63(54.3) 53(45.7) 1.2(0.8-1.8) 1.1(0.7-1.8) 1.1(0.7-1.8)
2005-2007 White 399(24.7) 215(53.9) 184(46.1) 1.2(0.9-1.6) 1.2(0.9-1.6) 1.2(0.9-1.6)
2005-2007 Black 135(8.3) 52(38.5) 83(61.5) 2.3(1.5-3.4) 2.1(1.3-3.3) 2.1(1.4-3.3)
2008-2010 White 427(26.4) 183(42.9) 244(57.1) 1.9(1.4-2.5) 1.7(1.2-2.3) 1.7(1.2-2.3)
2008-2010 Black 185(11.5) 73(38.5) 112(60.5) 2.2(1.5-3.4) 2.0(1.3-3.0) 2.0(1.3-3.0)
Insurance ****
1 White 965(59.7) 517(53.6) 448(46.4) Reference Reference Reference
1 Black 262(16.2) 123(47.0) 139(53.0) 1.3(1.0-1.7) 1.3(1.0-1.8) 1.3(1.0-1.8)
2 White 215(13.3) 89(41.4) 126(58.6) 1.6(1.2-2.2) 1.4(1.0-2.1) 1.4(1.0-2.0)
2 Black 174(10.8) 65(37.4) 109(62.6) 1.9(1.4-2.7) 2.1(1.4-3.2) 2.0(1.3-3.0)
*

Crude model with race as only predictor for time to surgery

**

Full model with race as main predictor for time to surgery with confounders: age, marital status, urban status, cancer grade, distance, BCN enrollment, hormone receptor status, county and insurance provider.

***

Final model with race as main predictor for time to surgery with select confounders based on backward selection in SAS: marital status, distance, BCN enrollment and insurance provider.

****

For stratification by insurance status, full model had race as main predictor for time to surgery with confounders: age, marital status, urban status, cancer grade, distance, BCN enrollment, hormone receptor status and county; while final model had race as main predictor for time to surgery with select confounders based on backward selection in SAS: marital status, distance and BCN enrollment.