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. 2017 Jun 19;6(7):1787–1798. doi: 10.1002/cam4.1120

Table 3.

Logistic regression model predicting BRCA 1/2 testing adjusted for risk group, insurance type, income, education, comorbidities, BRCA attitude, and physician trust

Variables OR 95% CI P‐value
Predisposing factors
Education
≤High School Ref
College 1.10 0.70–1.73 0.673
Graduate School 1.44 0.77–2.67 0.252
Missing 2.31 0.30–18.03 0.425
Comorbidities
0 Ref
1 0.80 0.52–1.23 0.313
2+ 1.06 0.62–1.81 0.843
BRCA attitudes scale 1.16 1.11–1.21 <0.001
BRCA attitudes scale componentsa
Benefits 2.28 1.78–2.93 <0.001
Costs 0.73 0.62–0.86 <0.001
Concerns 0.85 0.68–1.07 0.166
Trust in provider scale 0.99 0.95–1.03 0.684
Enabling factors
Insurance type
Employer based Ref
Medicaid 0.50 0.23–1.09 0.081
Medicare 0.66 0.35–1.24 0.195
Self‐pay 1.36 0.84–2.19 0.210
Other/Missing 0.66 0.35–1.25 0.202
Income
<30K Ref
30–70K 1.54 0.93–2.53 0.092
>70K 2.10 1.16–3.80 0.014
Missing 0.88 0.37–2.10 0.767
Need factors
BRCA mutation risk categories
Low risk Ref
Moderate risk 1.53 0.93–2.51 0.094
High risk 3.78 2.31–6.19 <0.001
a

Logistic regression model was rerun with BRCA attitude scale components entered into the model, rather than the full scale. Odds ratios for other variables were not meaningfully changed in this model.

Boldface indicates statistical significance (p<.05 and p<0.01).