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. 2013 Oct 24;10:E173. doi: 10.5888/pcd10.130034

Table 2. Prevalence Ratios From Univariable Bilevel Log-Binomial Regression Modelsa for Cervical Cancer Screening for Women in Selected Oregon and California OCHIN-Affiliated Community Health Centers (N = 11,560), 2008–2010.

 Demographic Characteristic N Women Receiving Pap Test, n (% ) Prevalence Ratio (95% Confidence Interval)b
Total 11,560 7,346 (63.5) NA
Insurance coverage
Continuous coverage 5,062 3,237 (63.9) 1 [Reference]
Partial coverage 3,856 2,322 (60.2)   0.98 (0.95–1.01)
No coverage 2,642 1,787 (67.6)   1.08 (1.04–1.12)
Age, y
21–39 5,324 3,531 (66.3) 1 [Reference]
40–64 6,236 3,815 (61.2) 0.93 (0.91–0.96)
Race/Ethnicity
Non-Hispanic white 5,426 2,899 (53.4) 1 [Reference]
Hispanic 4,424 3,337 (75.4) 1.39 (1.34–1.44)
Non-Hispanic other 1,710 1,110 (64.9) 1.16 (1.11–1.22)
Household income
≥ 100% of FPL 3,551 2,335 (65.8) 1 [Reference]
0-99% of FPL 8,009 5,011 (62.6) 0.95 (0.92–0.98)

Abbreviations: FPL, federal poverty level.

a

Regression models included patient-level factors as fixed effects at level 1 and a clinic-level random intercept at level 2.

b

Prevalence ratios are significant at the α = .05 level if the 95% confidence interval does not contain 1.00.