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. Author manuscript; available in PMC: 2010 Aug 25.
Published in final edited form as: J Health Care Poor Underserved. 2010 Feb;21(1 Suppl):71–94. doi: 10.1353/hpu.0.0264

Table 1.

Bivariate Association Between Demographic Factors and Mammography Follow-Up, RAMS Study, 2003–2006

Characteristics Inadequate Follow-upa
(n = 35)
Adequate Follow-upb
(n = 41)
OR
(95%) CI
Age (years)
  30–49 16
(47.06%)c
21
(51.22%)
0.85
(0.34, 2.10)
  >50 18
(52.94%)
20
(48.78%)
1
Income
  ≤$20,000 12
(35.29%)
17
(42.50%)
0.91
(0.28, 2.94)
  $20,000–$40,000 10
(29.41%)
11
(27.50%)
0.71
(0.24, 2.10)
  >$40,000 12
(35.29%)
12
(30.00%)
1
Health insurance
  TennCare/Medicare 8
(22.85%)
16
(39.02%)
0.32
(0.09, 1.14)
  Commercial
    (BCBS, Cigna)
11
(31.43%)
13
(31.71%)
0.64
(0.13, 3.03)
  Other 5
(14.29%)
5
(12.20%)
0.54
(0.16, 1.87)
  None 11
(31.43%)
7
(17.07%)
1
Race/ethnicity
  White 11
(31.43%)
20
(48.78%)
1
  African American 22
(62.86%)
20
(48.78%)
2.00
(0.77, 5.19)
  Otherd 2
(5.71%)
1
(2.44%)
3.64
(0.30, 44.77)
Education
  < High School
    or GED
17
(48.57%)
20
(50.00%)
0.94
(0.38, 2.34)
  > High School 18
(51.43%)
20
(50.00%)
1
a

Breast Imaging Reporting and Data System (BIRADS) BIRADS-0 patients without diagnostic resolution within 6 months after their index abnormal finding.

b

BIRADS-0 patients with diagnostic resolution within 6 months after their index abnormal finding.

c

Column percentage.

d

Hispanic/Latina and Middle Eastern.

OR = odds ratio

CI = confidence interval