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Table 3 Remoteness and patients’ socio-economic characteristics: univariate and multilevel logistic regression analysis as predictive factors of being operated on by a high-volume breast cancer surgeon
| Univariate logistic regression analysis | Multilevel logistic regression analysis | |||
|---|---|---|---|---|
| Odds ratio (95 % CI*) | p-value | Odds ratio (95 % CI*) | p-value | |
| Individual data | ||||
| Age | ||||
| < 50 years old | 0.90 (0.76; 1.07) | <0.001 | 0.179 | |
| 50 to 74 years old | 1 | |||
| > 74 years old | 0.68 (0.55; 0.83) | |||
| T Stage - size | ||||
| T1 | 1 | <0.001 | 0.189 | |
| T2 | 0.79 (0.66-0.95) | |||
| T3 and T4 | 0.58 (0.41-0.81) | |||
| Circumstances of diagnosis | ||||
| Screening | 1 | <0.001 | 1 | 0.005 |
| Not screening | 0.72 (0.62; 0.83) | 0.78 (0.66-0.93) | ||
| Time to go to the nearest reference cancer care centre | ||||
| < 10 minutes | 1 | <0.001 | 1 | <0.001 |
| 10 to 20 minutes | 0.98 (0.80; 1.21) | 0.86 (0.68-1.07) | ||
| 20 to 35 minutes | 0.70 (0.56; 0.88) | 0.56 (0.43-0.73) | ||
| > 35 minutes | 0.50 (0.42; 0.61) | 0.38 (0.29-0.50) | ||
| Aggregate data | ||||
| Place of residence | ||||
| Rural | 0.72 (0.62; 0.84) | <0.001 | 0.68 (0.53-0.87) | 0.002 |
| Urban | 1 | 1 | ||
| Townsend index | ||||
| Quintile 1 (most affluent) | 1 | <0.001 | 1 | 0.013 |
| Quintile 2 | 0.84 (0.60; 1.18) | 0.84 (0.58-1.21) | ||
| Quintile 3 | 0.73 (0.52; 1.03) | 0.74 (0.52-1.08) | ||
| Quintile 4 | 0.67 (0.49; 0.93) | 0.69 (0.48-0.97) | ||
| Quintile 5 (most deprived) | 0.65 (0.49; 0.88) | 0.61 (0.44-0.85) | ||
