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Table 2 Multivariable logistic regression analysis examining factors associated with referral for breast cancer risk assessment

From: Inequities in referrals to a breast cancer risk assessment and prevention clinic: a mixed methods study

Patient Demographics

Odds Ratio (95% CI)

P value

Race and Ethnicity

 Non-Hispanic White

Ref

 

 Non-Hispanic Black

0.38 (0.23–0.63)

 < 0.001

 Hispanic

0.71 (0.47–1.08)

0.11

 Asian American/Pacific Islander

0.82 (0.43–1.54)

0.53

 Other

0.72 (0.49–1.04)

0.08

 Unknown

0.59 (0.19–1.79)

0.35

Age

 Under 40

Ref

 

 40–59

0.63 (0.48–0.84)

0.001

 60 + 

0.73 (0.52–1.04)

0.08

Preferred Language

 English

Ref

 

 Non-English

0.26 (0.12–0.56)

 < 0.001

Risk Level*

 Not High Risk

Ref

 

 High Risk

7.14 (4.99–10.23)

 < 0.001

 Unknown Risk

3.35 (2.38–4.72)

 < 0.001

Insurance

 Commercial

Ref

 

 Medicaid

0.72 (0.53–0.98)

0.04

 Medicare

0.52 (0.7–0.99)

0.047

 Other

0.53 (017–1.66)

0.33

Primary Care Site

 Suburban

Ref

 

 Main Campus

1.25 (0.94–1.65)

0.13

 Community Health Center

1.17 (0.76–1.82)

0.48

 Other

1.15 (0.49–2.71)

0.75

  1. *High-risk was defined as patients having a 5-year modified Gail risk score of ≥ 1.67 for women between age 35–59, a 5-year modified Gail risk score of ≥ 5.5% for women age ≥ 60, [21] or a Tyrer-Cuzick v.7 or v.8 lifetime risk score > 20%. [22]