Table 3.
Patient and provider characteristics associated with having a virtual care visit
| Provider variables (n = 154 providers) | Adjusted ORa,b | 95% Confidence Interval |
|---|---|---|
| Female vs. male provider | 1.16 | 0.92–1.48 |
| Provider age (less than 47.2 years vs. greater than 47.2 years) | 0.87 | 0.68–1.12 |
| Canadian graduate vs. international graduate | 1.34 | 0.83–2.18 |
| Alternative funding vs. fee-for-service | 0.81 | 0.57–1.16 |
| Rural vs. urban clinic | 1.21 | 0.8–1.82 |
| Patient variables (n = 42,647 patients) | OR | 95% Confidence Interval |
| Female vs. male patient | 1.14 | 1.08–1.21 |
| ≥ 3 comorbidities vs. no comorbidities | 1.78 | 1.51–2.09 |
| 1–2 comorbidities vs. no comorbidities | 1.41 | 1.28–1.55 |
| ≥ 10 prescriptions vs. no prescriptions | 2.70 | 2.22–3.29 |
| 5–9 prescriptions vs. no prescriptions | 2.42 | 2.07–2.85 |
| 1–4 prescriptions vs. no prescriptions | 1.86 | 1.68–2.07 |
| Patient age (≤ 18 years vs. ≥60 years) | 0.69 | 0.58–0.83 |
| Patient age (19–39 years vs. ≥60 years) | 0.89 | 0.81–0.98 |
| Patient age (40–59 years vs. ≥60 years) | 0.94 | 0.86–1.03 |
| Annual visit frequency (per 1 visit increase) | 1.00 | 0.99-1.00 |
aMultivariate logistic regression model using generalized estimating equations to assess the association between patients with at least one virtual care visit (yes vs. no)
bBolding indicates statistical significance