Table 1.
Participants’ baseline characteristics (n = 852).
| Age, median (IQR), years | 39 (32– 47) |
|---|---|
| Gender, n (%) | |
| Male | 389 (46) |
| Female | 453 (54) |
| Non-binary | 2 (0.2) |
| Region of residence, n (%) | |
| Europe | 771 (93) |
| North America | 44 (5) |
| Latin America | 13 (2) |
| Other* | 5 (0.6) |
| Specialty, n (%) | |
| Medical | 681 (80) |
| Surgical | 136 (16) |
| Other† | 35 (4) |
| Professional degree, n (%) | |
| Trainee | 113 (16) |
| Specialist | 771 (84) |
| Academic degree, n (%) | |
| MD | 833 (100) |
| PhD | 273 (33) |
| Assistant professor | 114 (14) |
| Full professor | 24 (3) |
| Workplace, n (%) | |
| Large hospital (>800 beds) | 417 (49) |
| Medium hospital (400–800 beds) | 217 (26) |
| Small hospital (<400 beds) | 154 (18) |
| Primary Care (family practice) | 34 (4) |
| Private Clinic (private health insurance) | 22 (3) |
| Number of COVID-19 patients assessed, n (%) | |
| <10 | 119 (14) |
| 10–50 | 324 (38) |
| 51–200 | 313 (37) |
| >200 | 89 (11) |
⁎
Including African, Eastern Mediterranean, South-East Asia and Western-Pacific regions.
†
Other specialties include diagnostic and non-clinical specialties such as Radiology, Public Health, Pathology, Preventive Medicine, or Nuclear Medicine.
IQR, interquartile range.