Variable | Value (n = 114) |
---|---|
Sex (N, %) | |
Male | 76 (66.7%) |
Female | 36 (31.6%) |
Missing | 2 (1.8%) |
Age (years) | |
Median, IQR | 45.5 (18.8) |
Missing | 2 (1.8%) |
Continent of primary medical education | |
Africa | 27 (23.7%) |
Asia | 15 (13.2%) |
Europe | 51 (44.7%) |
Oceania | 4 (3.5%) |
North America | 7 (6.1%) |
South America | 10 (8.8%) |
Missing | 0 (0.0%) |
Country of primary medical educationa | |
Low income | 8 (7.0%) |
Middle income | 41 (36.0%) |
High income | 65 (57.0%) |
Missing | 0 (0.0%) |
Profession (N, %) | n = 130b |
Anaesthesiologist | 27 (20.8%) |
Surgeon | 47 (36.2%) |
Emergency Room physician | 5 (3.8%) |
Nurse | 48 (36.9%) |
Other | 1 (0.8%) |
Missing | 2 (1.5%) |
Years since registration as a nurse | |
Median, IQR | 13 (9.2) |
Missing | 8 (20.0%) |
Years since board registration as a medical specialist | |
Median, IQR | 16 (18.0) |
Missing | 3 (4.2%) |
Years of clinical experience | |
Median, IQR | 15 (13.8) |
Missing | 6 (5.3%) |
Years between most recent pre-deployment course and next deployment | |
Median, IQR | 1.0 (1.0) |
Missing | 40 (35.1%) |
Years between onboarding mission and next deployment | |
Median, IQR | 1.0 (4.0) |
Missing | 56 (49.1%) |
Number of previous deployments with the ICRC (N, %) | |
0 | 24 (21.1%) |
1 | 15 (13.2%) |
≥ 2 | 69 (60.5%) |
Missing | 6 (5.3%) |
Number of previous deployments with MSF (N, %) | |
0 | 68 (59.6%) |
1 | 7 (6.1%) |
≥ 2 | 32 (28.1%) |
Missing | 7 (6.1%) |
Number of previous deployments with armed forces (N, %) | |
0 | 88 (77.2%) |
1 | 7 (6.1%) |
≥ 2 | 13 (11.4%) |
Missing | 6 (5.3%) |
Worked in hospital in home country during the last year prior to deployment (N, %) | |
Yes | 66 (57.9%) |
No | 21 (18.4%) |
Missing | 27 (23.7%) |
Experience with paediatric trauma during the last two years before deployment (N, %) | |
No | 8 (7.0%) |
Sporadically/monthly | 63 (55.3%) |
Frequently/weekly | 37 (32.5%) |
Missing | 6 (5.3%) |