Table 2.
Bivariate and Multivariable Logistic Regression of Receipt of Prescription Contraception in 3-Year Study Period by Chronic Medical Condition Status
| OR* | 95% CI | P | Adjusted OR† | 95% CI | P | ||
|---|---|---|---|---|---|---|---|
| Presence of ≥1 chronic medical conditions | 0.72 | 0.65, 0.80 | <0.001 | 0.85 | 0.76, 0.96 | 0.010 | |
| Age (y) | |||||||
| 21–29 | 3.81 | 3.48, 4.17 | <0.001 | 3.82 | 3.49, 4.19 | <0.001 | |
| 30–42 | Ref | -- | -- | Ref | -- | -- | |
| Community-level socioeconomic status | |||||||
| < 200% FPL | 0.93 | 0.84, 1.04 | 0.205 | 0.91 | 0.81, 1.02 | 0.094 | |
| ≥ 200% FPL | Ref | -- | -- | Ref | -- | -- | |
| No. years with cervical cancer screening | |||||||
| 0 | Ref | -- | -- | Ref | -- | -- | |
| 1 | 1.08 | 0.99, 1.17 | 0.078 | 1.11 | 1.02, 1.21 | 0.022 | |
| ≥2 | 0.82 | 0.73, 0.91 | <0.001 | 0.97 | 0.86, 1.10 | 0.587 | |
| Total outpatient visits | 0.98 | 0.98, 0.99 | <0.001 | 0.99 | 0.98, 0.99 | <0.001 | |
OR, odds ratio; CI, confidence interval; FPL, federal poverty level.
*
Point estimates shown for each variable from univariate models.
†
Point estimates from multivariable regression models for the effect of each disease on the odds of receipt of contraception adjusting for all covariates including: age group, community-level socioeconomic status, no. of years with cervical cancer screening, and total outpatient visits.