Skip to main content
. Author manuscript; available in PMC: 2011 Mar 1.
Published in final edited form as: J Cancer Surviv. 2009 Dec 20;4(1):59–66. doi: 10.1007/s11764-009-0107-0

Table 3.

Adjusted logistic regression results for mammography surveillance in year one post treatment in elderly Medicaid and Medicare breast cancer patients who received BCS, OR (95% CI)

Independent variables (referent) Surveillance mammography N=2,998
Eligibility (Medicare) 1.00
  Dual (Medicaid and Medicare) 0.80 (0.57–1.11)
Age (66–69 years) 1.00
  70–74 1.02 (0.78–1.33)
  75–79 0.90 (0.69–1.19)
  80–84 0.68 (0.50–0.92)*
  85+ 0.34 (0.24–0.48)**
Race (Caucasian) 1.00
  African American 0.73 (0.50–1.05)
  Other 1.39 (0.60–3.23)
Stage at diagnosis (I) 1.00
  II 0.73 (0.62–0.85)**
Comorbidity (0) 1.00
  1 0.72 (0.56–0.92)**
  2 0.59 (0.40–0.86)**
  3 or more 0.37 (0.21–0.64)**
Education 1.00
  <12th Grade Education 0.29 (0.11–1.09)
BCS without Radiation ϕ 1.00
  BCS with radiation 1.82 (1.48–2.24)**
No Physician visit within 1 year post treatment α 1.00
  Physician visit within 1 year post treatment 4.44 (2.89–6.83)**

The regression model also includes annual household income, number of radiation oncologists and number of general Practitioners/100,000 persons, percent minority composition of community, and rural/urban status

*

p<0.01 χ2 likelihood ratio test

**

p<0.001 χ2 likelihood ratio test

ϕ

Excludes those with mastectomy

α

Post treatment refers to the 12 months after last treatment received