Table 3.
Logistic Regression Models of predictor variables associated with prescribing or reinforcing recommendations for preventive interventions
| Prescribing or reinforcing a recommendation for a preventive intervention for breast cancer | Prescribing or reinforcing a recommendation for a preventive intervention for ovarian cancer | |
|---|---|---|
| OR (95% CI) | OR (95% CI) | |
| Age | 1.01 (.95, 1.07) | 1.01 (.96, 1.06) |
| Gender | ||
| Female | 1 [Reference] | 1 [Reference] |
| Male | .78 (.48, 1.28) | 1.03 (.68, 1.54) |
| Specialty | ||
| Family medicine | 1 [Reference] | 1 [Reference] |
| Internist | 1.09 (.63, 1.86) | 1.10 (.71, 1.70) |
| OB/GYN | 1.04 (.56, 1.93) | 3.22 (1.87, 5.57)a |
| Years practicing specialty | 1.00 (.93, 1.06) | .98 (.93, 1.04) |
| Comfort in estimating a patient’s risk (breast cancer) | 1.11 (.99, 1.24) | - |
| Comfort in estimating a patient’s risk (ovarian cancer) | - | 1.31 (1.20, 1.44)a |
| Familiarity with cancer preventive interventions | ||
| Least familiar | 1 [Reference] | 1 [Reference] |
| Somewhat familiar | 3.26 (1.80, 5.90)a | 3.03 (1.85, 4.94)a |
| Moderately familiar | 3.99 (1.93, 8.23)a | 2.14 (1.24, 3.68)a |
| Most familiar | 5.59 (2.50, 12.51)a | 3.45 (1.90, 6.26)a |
a
p-value<0.01