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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: Breast Cancer Res Treat. 2017 Feb 21;163(1):167–176. doi: 10.1007/s10549-017-4158-z

Table 2.

Adjusted Odds of Breast Cancer Multigene Testing (Computerized Data Onlya) Kaiser Permanente Northern California, January 2013 – June 2015

Predictor Odds Ratio (95% Confidence Interval)
Age at diagnosis
 <40 12.07 (6.95,20.99)*
 40–<50 14.58 (10.46,20.32)*
 50–<60 12.05 (9.03,16.09)*
 60–<70 5.99 (4.60,7.80)*
 70+ REF
Race/Ethnicity
 Asian 0.95 (0.74,1.21)
 Black 0.60 (0.41,0.88)*
 Other or unknown 2.04 (0.79,5.28)
 White, Hispanic 0.96 (0.71,1.32)
 White, non-Hispanic REF
Tumor size
 >0.5 cm to <=1.0 cm 0.29 (0.22,0.37)*
 >1.0 cm to <=2.0 1.13 (0.91,1.40)
 >2.0 cm REF
Charlson comorbidity score 0.89 (0.81,0.98)*
Community-level median family incomeb 1.05 (1.02,1.07)*
Oncologist gender
 Female 1.60 (1.21,2.12)*
 Male REF
Practice group oncology chief: proportion of patients testedc 1.20 (1.12,1.29)*
Percent of variance unexplained by fixed effects that is explained by this level effect
 Oncologist level 7.93%
 Practice group level 0.25%
a

Results from a generalized linear mixed model with data from 2,974 patients, 113 oncologists, and 15 practice groups.

b

Community-level is from census block group characteristics.

c

Odds ratios represent increased odds for each absolute 10% increase in the percent of patients the oncology chief tested.

*

Significant at p<=0.05