Table 6. Multivariate Logistic Regression predicting usual approach to decision-making.
Independent variables | β (s.e.) | Wald (χ2) (d.f.) | AOR (95% CI) |
---|---|---|---|
Age | 0.00 (0.14) | χ2(1)=0.00 | 1.00 (0.75–1.33) |
Country of training | |||
Australia | 0.42 (0.30) | χ2(1)=1.98 | 1.52 (0.85–2.74) |
Other | |||
Caseload | |||
0–2 | χ2(3)=11.33* | 1— | |
3–6 | 0.53 (0.27) | χ2(1)=3.78 | 1.71 (1.00–2.92) |
7–10 | 0.57 (0.29) | χ2(1)=3.74 | 1.77 (0.99–3.14) |
>11 | 1.03 (0.31) | χ2(1)=11.23** | 2.81 (1.54–5.16) |
Cancer specialty | |||
Colorectal, gynaecology, and haematological | |||
Breast and urological | 1.10 (0.19) | χ2(1)=33.94** | 3.02 (2.08–4.37) |
Gender | |||
Male | 1— | ||
Female | 0.63 (0.26) | χ2(1)=5.99* | 1.87 (1.13–3.10) |
AOR=adjusted odds ratio; d.f.=degrees of freedom; 95% CI=95% confidence interval.
*P<0.05, **P<0.01.