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Table 1 Background characteristics

From: Self-perceived preparedness and training needs of healthcare personnel on humanitarian mission: a pre- and post-deployment survey

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%)
  1. aAccording to the World Bank classification [21]
  2. bn = 130 because profession is the only background characteristic that was also filled out in the postdeployment questionnaire