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Table 2 Bivariate analysis of patient characteristics by knowledge of CRC tests*

From: The effect of health literacy on knowledge and receipt of colorectal cancer screening: a survey study

  Able to Name a CRC Test Able to Describe a CRC test
Patient Characteristic Yes N (%)
(n = 21)
No N (%)
(n = 29)
p-value Yes N (%)
(n = 37)
No N (%)
(n = 13)
p-value
Age, years. Mean (SD) 60.9 (9.9) 63.7 (9.6) 0.31 63.2 (10.1) 60.5 (8.8) 0.40
Gender    0.57    1.00
   Female 16 (76) 20 (69)   27 (73) 9 (69)  
   Male 5 (24) 9 (31)   10 (27) 4 (31)  
Race    0.02    0.02
   African-American 8 (38) 21 (72)   18 (49) 11 (85)  
   Caucasian 13 (62) 8 (28)   19 (51) 2 (15)  
Marital Status    0.10    1.00
   Married/living together 7 (33) 4 (14)   29 (78) 10 (77)  
   Not married 14 (67) 25 (86)   8 (22) 3 (23)  
Health Literacy    <0.01    <0.01
   Limited (<9th grade) 3 (14) 21 (72)   12 (32) 12 (92)  
   Adequate (> = 9th grade) 18 (86) 8 (28)   25 (68) 1 (8)  
Education Level    0.01    0.09
   < 12 years 6 (29) 19 (66)   15 (41) 10 (77)  
   High school graduate 6 (29) 7 (24)   11 (30) 2 (15)  
   > High school graduate 9 (43) 3 (10)   11 (30) 1 (8)  
Insurance Status    1.00    0.71
   Uninsured 4 (19) 6 (21)   7 (19) 3 (23)  
   Medicare 12 (57) 13 (45)   20 (54) 5 (38)  
   Medicaid 11 (52) 12 (41)   17 (46) 6 (46)  
   Commercial/Military 3 (14) 7 (24)   7 (19) 3 (23)  
Household Income    1.00    1.00
   < $25,000 17 (81) 23 (79)   30 (81) 10 (77)  
   $25,000 or more 3 (14) 3 (10)   5 (14) 1 (8)  
Provider Type    0.07    0.08
   Physician assistant 2 (10) 11 (38)   10 (27) 3 (23)  
   Resident physician 7 (33) 8 (28)   8 (22) 7 (54)  
   Attending physician 12 (57) 10 (34)   19 (51) 3 (23)  
Frequency of visits    0.71    0.29
   < 4 visits/year 5 (24) 8 (28)   8 (22) 5 (38)  
   4 or more visits/year 16 (76) 20 (69)   28 (76) 8 (62)  
  1. * Relevant screening tests include fecal occult blood testing, flexible sigmoidoscopy, and colonoscopy.
  2. A t-test for difference in means was used to compare age; all other variables were compared using Chi-Square and Fisher's Exact tests.
  3. Because some patients have more than one type of insurance, percentages add to greater than 100%.