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. 2022 Apr 2;29(4):740–746. doi: 10.1007/s12282-022-01352-2

Table 2.

Odds ratios (OR) from two multivariable-adjusted logistic regression models assessing odds of screening in 2019 for women last screened in 2017 (left), and odds of screening in 2020 for women last screened in 2018 (right)

Variable 2017 Cohort, Adjusted odds of screening in 2019  2018 Cohort, Adjusted odds of screeining in 2020
OR (95% CI) p-value OR (95% CI) p-value
Age
 50–64 (Ref)
 65–69 1.14 (1.03–1.27) 0.015 1.03 (0.91–1.16) 0.676
 70 +  0.94 (0.84–1.05) 0.293 0.81 (0.71–0.99) 0.001
Insurance
 Commercial (Ref)
 Government 0.74 (0.55–1.00) 0.053 0.66 (0.45–0.95) 0.03
 Medicaid 0.60 (0.52–0.70)  < 0.001 0.46 (0.38–0.56)  < 0.001
 Medicare 1.00 (0.91–1.11) 0.938 1.08 (0.96–1.22) 0.192
 Self-pay 0.35 (0.25–0.48)  < 0.001 0.53 (0.31–0.63) 0.005
Geography
 Urban (Ref)
 Rural 0.57 (0.44 – 0.74)  < 0.001 0.50 (0.35 – 0.69)  < 0.001
Race/ethnicity
White (Ref)
 AIAN 0.30 (0.14–0.58) 0.001 0.64 (0.30–1.23) 0.294
 Asian 1.19 (1.01–1.40) 0.037 0.91 (0.75–1.09) 0.303
 Black 1.05 (0.89–1.23) 0.561 0.84 (0.70–1.00) 0.053
 Hispanic 0.87 (0.69–1.09) 0.231 0.81 (0.61–1.06) 0.139
 Multi-racial 0.86 (0.72–1.03) 0.105 0.81 (0.65–0.99) 0.045
 NHOPI 0.97 (0.64–1.44) 0.885 0.66 (0.39–1.06) 0.099
 Unknown 0.29 (0.17–0.45)  < 0.001 0.42 (0.20–0.78) 0.010

All ORs are mutually-adjusted in each model