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Table 1 Clinical simulation study: baseline characteristics of participants

From: Non-technical skills evaluation in the critical care air ambulance environment: introduction of an adapted rating instrument - an observational study

Characteristic Experienced
group
Inexperienced
group
P value
Age (mean ± SD) 36.1 ± 5.6 29.8 ± 2.1 0.009
Male gender, n (%) 4 (50 %) 8 (100 %) 0.08
Training level, n (%)    
 Consultant 2 (25 %) 0 (0 %)
 Registrar (senior) 6 (75 %) 2 (25 %)
 Registrar (junior) 0 5 (62.5 %)  
 Intern 0 1 (12.5 %)
Specialty training programme, n (%)   
 ICU and Anaesthetics 1 (12.5 %) 2 (25 %)
 Anaesthetics 0 (0 %) 3 (37.5 %)
 Critical and Intensive Care Medicine 3 (37.5 %) 0 (0 %)
 Emergency Medicine 3 (37.5 %) 2 (25 %)
 General Medicine 1 (12.5 %) 1 (12.5 %)
Number of previous inter-hospital patient transports, median (IQR) 45 (25 – 51.5) 0.5 (0 – 4.5) 0.001
Number of previous simulations, median (IQR) 15 (2.25 – 20) 5 (5 – 16) 0.57
Sleep in 24 hrs pre-scenario, median hours (IQR) 7.0 (6.6 – 7.9) 7.0 (7–8) 0.80
Work in 24 hrs pre-scenario, median hours (IQR) 8 (1 – 13.5) 6 (1.75 – 7.75) 0.51
Samn-Perelli Fatigue Scorea, median (IQR) 3 (1.25 – 4.75) 2.5 (1.25 – 3.75) 0.57
  1. aSamn-Perelli Fatigue checklist - possible scores between 1 and 7 where 1 is “fully alert wide awake” through to 7 which is “completely exhausted, unable to function effectively” (Samn SW, Perelli LP. Estimating aircrew fatigue: a technique with implications to airlift operations. Brooks AFB,TX: USAF School of Aerospace Medicine; 1982. Technical Report No. SAM-TR- 82–21.)