Table 3. Logistic regression model to predict high degree of confidence* (n = 82).
| Variables | Univariate analysis OR (95% CI) | P Value | Multivariate analysis** Adjusted OR (95% CI) | P Value | ||
|---|---|---|---|---|---|---|
| Academic institution (vs Non-Academic) | 3.90 | (0.80–38.05) | 0.08 | |||
| Time allocated to research (>25% vs ≤25%) | 2.64 | (0.84–9.40) | 0.07 | |||
| Field (Other vs Medical Oncologist) | 1.98 | (0.37–9.49) | 0.32 | |||
| Number of new breast cancer patient/months (>10 vs ≤10) | 6.05 | (1.60–24.84) | 0.003 | 4.54 | 1.30–15.84 | 0.02 |
| Years of clinical practice (>10 vs ≤10) | 0.47 | (0.15–1.42) | 0.21 | |||
| Dedicated tumor board (Yes vs No) | 4.67 | (1.41–18.40) | 0.01 | 3.62 | 1.12–11.66 | 0.03 |
| Frequency of use in the past 6 months (>5 vs ≤5) | 2.85 | (0.94–8.99) | 0.07 | |||
| Guidelines in institute (Yes vs No/I do not know) | 2.04 | (0.61–6.70) | 0.29 | |||
*The modeled probability is the probability of being highly confident.
**Results showed only for variables associated with high degree of confidence with p value equal or less to 0.05.