|
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%)
|
