Table 4.
Predictors of intention to work in a rural location where binary variable is rural vs. urban location at exita.
| Number in unadjusted analysis | Unadjusted odds ratios (95% CI; p-value) | Adjusted odds ratios (95% CI; p-value) N = 597 | |
|---|---|---|---|
| Increasing age | 1,102 | 1.07 (1.04–1.10; <0.001) | 1.09 (1.04–1.14; 0.001) |
| LMIC school | 1,135 | 1.50 (1.16–1.93; 0.002) | 2.01 (1.47–3.00; <0.001) |
| Female | 1,132 | 1.51 (1.18–1.93; 0.001) | 1.80 (1.26–2.55; 0.001) |
| Income bottom two deciles | 790 | 1.09 (0.80–1.50; 0.576) | 0.85 (0.57–1.25; 0.407) |
| Identify as underserved group | 974 | 1.15 (0.83–1.58; 0.407) | 0.80 (0.51–1.25; 0.335) |
| Rural background (Quintiles 1, 2 and 3) | 958 | 1.76 (1.36–2.29; <0.001) | 1.89 (1.33–2.68; <0.001) |
a
Rural quintiles (1, remote village; 2, small rural town; 3, large rural town) vs. Urban quintiles (4, major regional center and 5, major city or capital city). Excludes learners with an international background. CI, confidence interval.