Table 3

Associations of healthcare access and HIV test with cervical cancer screening in subgroups defined by education

Less than college level (n=2185)At or above college level (n=1263)
 Factorsn (%)aOR and 95% CIn (%)aOR and 95% CIP interaction†
Last clinical check-up*
 <1 year ago (REF)1475 (67.5)1872 (69.0)10.04
 1–<2 years ago297 (13.6)0.86 (0.60 to 1.24)205 (16.2)0.51 (0.29 to 0.89)
 2–<5 years ago199 (9.1)0.39 (0.27 to 0.57)99 (7.8)0.19 (0.10 to 0.33)
 ≥5 years ago214 (9.8)0.18 (0.12 to 0.25)87 (6.9)0.22 (0.11 to 0.42)
Had personal healthcare provider
 Yes (REF)1661 (76.0)11010 (80.0)10.47
 No524 (24.0)0.98 (0.73 to 1.32)253 (20.0)0.78 (0.48 to 1.27)
Had healthcare coverage
 Yes (REF)1835 (84.0)11178 (93.3)10.84
 No350 (16.0)0.58 (0.42 to 0.78)85 (6.7)0.59 (0.30 to 1.15)
Had HIV test
 Had test within last year (REF)818 (37.4)1397 (31.4)10.59
 Had test over 1 year ago731 (33.5)0.62 (0.45 to 0.84)471 (37.3)0.73 (0.41 to 1.31)
 Had no test636 (29.1)0.48 (0.35 to 0.66)395 (31.3)0.43 (0.24 to 0.77)
  • Multivariable logistic regression model included the four factors in table simultaneously and adjusted for age, race, marital status, obesity, physical activity, alcohol consumption, smoking status, comorbidity and overall health condition.

  • *The check-up specifically referred to a general physical exam, not an exam for a specific injury, illness or condition.

  • †Wald test was used to investigate interaction between factors and education in relation to cervical cancer screening.

  • aOR, adjusted OR.