Table 3.
Logistic regression models assessing the association between test type at index visit and the odds of repeat vaginitis visit and the odds of ≥2 vaginitis treatment claim dates during follow-up, among the non-pregnant cohort linked to AEMR (N=436,595)
| Outcome: With ≥1 vs. 0 subsequent vaginitis-related visits during follow-up |
Outcome: With ≥2 vaginitis treatment dates during follow-up |
|||
|---|---|---|---|---|
| Variables | Odds ratio (95% CI) | p-value | Odds ratio (95% CI) | p-value |
| Payer type (Medicaid vs. Commercial) | 1.26 (1.23, 1.28) | <.001 | 1.34 (1.30, 1.38) | <.001 |
| Test type at initial presentation (vs. no claimed test) | ||||
| NAAT panel or with 1−2 targets | 1.11 (1.08, 1.13) | <.001 | 1.09 (1.05, 1.14) | <.001 |
| Direct probe | 1.14 (1.10, 1.18) | <.001 | 1.15 (1.09, 1.21) | <.001 |
| Traditional methods | 1.21 (1.19, 1.24) | <.001 | 1.23 (1.19, 1.27) | <.001 |
| Age group (vs. 55+) | ||||
| 0−17 | 0.82 (0.80, 0.85) | <.001 | 0.65 (0.61, 0.68) | <.001 |
| 18−34 | 1.41 (1.38, 1.44) | <.001 | 1.49 (1.44, 1.53) | <.001 |
| 35−54 | 1.09 (1.07, 1.11) | <.001 | 1.08 (1.05, 1.11) | <.001 |
| Race/ethnicity (vs. White) | ||||
| Black | 1.36 (1.33, 1.38) | <.001 | 1.43 (1.39, 1.47) | <.001 |
| Hispanic | 1.04 (0.94, 1.15) | .43 | 1.16 (1.01, 1.34) | .03 |
| Other (Asian, Other, Two or more) | 1.11 (1.08, 1.15) | <.001 | 1.11 (1.06, 1.17) | <.001 |
| Geographic region (vs. South) | ||||
| Northeast | 1.07 (1.05, 1.09) | <.001 | 1.09 (1.05, 1.12) | <.001 |
| Midwest | 1.05 (1.03, 1.07) | <.001 | 1.09 (1.06, 1.12) | <.001 |
| West | 1.13 (1.11, 1.16) | <.001 | 1.20 (1.16, 1.24) | <.001 |
| Provider specialty for index visit (vs. primary care) | ||||
| Obstetrician/gynecologist | 0.97 (0.95, 0.99) | .003 | 0.96 (0.93, 0.99) | .006 |
| Emergency medicine1 | 0.88 (0.85, 0.92) | <.001 | 0.94 (0.89, 1.00) | .03 |
| All others | 1.04 (1.02, 1.06) | <.001 | 1.12 (1.09, 1.16) | <.001 |
| Risk factors for vaginitis (vs. none)2 | 1.29 (1.25, 1.33) | <.001 | 1.39 (1.33, 1.45) | <.001 |
Includes emergency room and urgent care.
Risk factors for vaginitis included the following categories of diagnosis codes from claims: infections with a predominantly sexual mode of transmission, drug dependence, and nondependent abuse of drugs.
Chen. Real-world clinical burden of patients presenting with vaginitis symptoms in the United States. AJOG Glob Rep 2025.