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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.)