Table 3.
Multivariate logistic regression with currently working in an area defined as ASGC-RA 3–5 vs an area defined as ASGC-RA 2 as the dependent variable and sex, ASGC-RA index for rural town of origin before entry to medical school and RCSWA participation as the predictor variables (N = 324) (Nagelkerke R Square = 0.112)
| Predictor variable | Intercept/B | Standard error | P value | Odds ratio | 95% CI for odds ratio | |
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| Sex | ||||||
| Female | 1 | |||||
| Male | 0.360 | 0.236 | 0.128 | 1.43 | 0.90 | 2.28 |
| ASGC_RA – town of origin | ||||||
| ASGC – RA 1 – Major City | 1 | |||||
| ASGC – RA 2 – Inner regional | −0.489 | 0.444 | 0.270 | 0.61 | 0.26 | 1.46 |
| ASGC – RA 3 – Outer regional | 0.295 | 0.401 | 0.462 | 1.34 | 0.61 | 2.95 |
| ASGC – RA 4–5 – Remote/Very remote | 0.725 | 0.566 | 0.200 | 2.07 | .68 | 6.26 |
| RCSWA participation | ||||||
| Pre RCSWA | 1 | |||||
| Post RCSWA – Urban Training | 0.255 | 0.297 | 0.390 | 1.29 | 0.72 | 2.31 |
| Post RCSWA – Rural Training | 1.414 | 0.358 | <0.001 | 4.11 | 2.04 | 8.30 |
Significant P values are in bold-faced type.