Table 1.
General and professional characteristics of respondents
| Characteristics | All respondents (N = 681) | GDP lowest tertile * (n = 247) | GDP middle tertile * (n = 236) | GDP highest tertile * (n = 198) | P-value** |
|---|---|---|---|---|---|
| Sex (male), % | 54.9 | 48.2 | 57.6 | 60.1 | 0.024 |
| Age categories (years), % | <0.001 | ||||
| <40 | 31.0 | 41.3 | 29.2 | 20.2 | |
| 41–60 | 52.6 | 48.2 | 52.5 | 58.1 | |
| ≥61 | 16.4 | 10.5 | 18.2 | 21.7 | |
| Professional background, % | 0.078 | ||||
| Nephrologist | 86.5 | 86.6 | 89.4 | 82.8 | |
| Nephrologist in training | 4.4 | 2.4 | 3.4 | 8.1 | |
| Internal medicine specialist | 5.4 | 7.3 | 3.8 | 5.1 | |
| Kidney transplant surgeon | 3.7 | 3.6 | 3.4 | 4.0 | |
| Working in academic centre, % | 56.8 | 53.3 | 53.0 | 65.7 | 0.010 |
| Working in urban centre, % | 91.9 | 92.7 | 95.3 | 86.9 | 0.006 |
| Working in public centre, % | 78.2 | 71.3 | 76.5 | 88.8 | <0.001 |
| Centre size (number of patients on dialysis, with a functioning kidney transplant or on CCM), % | <0.001 | ||||
| <50 | 6.3 | 10.0 | 5.5 | 2.8 | |
| 50–100 | 18.3 | 26.5 | 17.4 | 9.4 | |
| 101–200 | 22.9 | 24.7 | 24.2 | 19.3 | |
| >200 | 52.5 | 38.8 | 53.0 | 68.5 | |
| Treatment available in centre, % | |||||
| ICHD | 95.4 | 92.3 | 95.3 | 99.5 | <0.001 |
| OCHD | 45.5 | 23.6 | 43.4 | 74.7 | <0.001 |
| HHD | 36.6 | 10.4 | 31.5 | 74.7 | <0.001 |
| PD | 79.6 | 62.8 | 83.1 | 96.0 | <0.001 |
| LTX | 53.8 | 32.0 | 57.6 | 75.8 | <0.001 |
| DTX | 56.7 | 36.5 | 61.4 | 75.8 | <0.001 |
| CCM | 75.6 | 61.3 | 77.1 | 91.4 | <0.001 |
*
For the GDP classification of individual countries, see Figure 1.
**
P-value calculated with Fisher’s exact test to compare GDP tertiles.