Table 4.
Independent Variables Associated with Clinician Intention to Prescribe Pre-Exposure Prophylaxis Overall: Results of Unadjusted and Adjusted Logistic Regression Models
| Variablea | Unadjusted OR (95% CI)b | Adjusted OR (95% CI)c |
|---|---|---|
| Nurse practitioner (vs. physician) | 2.26 (0.93–5.46) | |
| Suburban practice location (vs. urban) | 4.76 (3.03–7.69) | 9.09 (3.03–33.33) |
| Lower knowledge about CDC PrEP guidance | 1.02 (1.00–1.03) | 1.02 (1.00–1.04) |
| More barriers related to cost and resource issues | 1.64 (0.94–2.87) | |
| Lower endorsement of cost and insurance factors impacting clinician likelihood of prescribing PrEP | 1.41 (0.94–2.13) | 1.79 (1.11–2.86) |
| Patient age ≥18 years (vs. <18 years) | 1.69 (1.28–2.23) | 1.85 (1.33–2.58) |
| Risk group (vs. heterosexual with multiple partners) | ||
| Heterosexual with HIV-infected partner | 3.52 (2.12–5.85) | 4.18 (2.40–7.27) |
| MSM | 1.76 (1.10–2.81) | 1.91 (1.11–3.28) |
| Transgender woman | 1.76 (1.17–2.65) | 1.91 (1.19–3.07) |
a
Variables in bold are significant in the adjusted model (p < 0.05).
b
ORs presented are significant at p < 0.10 and were entered into the adjusted logistic regression model. ORs and CIs in bold are significant at p < 0.05.
c
ORs in bold were significant in the adjusted model (p < 0.05). Nonsignificant variables were not included in the final model.
CDC, Centers for Disease Control and Prevention; CI, confidence interval; MSM, men who has sex with men; OR, odds ratio; PrEP, pre-exposure prophylaxis.