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Table 2 Demographic characteristics of users of the EMS automation system

From: The impact of the emergency medical services (EMS) automation system on patient care process and user workflow

Variable

Doctors

Nurses

Technician

Frequency (%)

Frequency (%)

Frequency (%)

Sex

Male

55(80.9)

22(24.7)

66(100)

Female

13(19.1)

67(75.3)

0(0)

Age(years)

20–30

2(2.9)

34(38.2)

45(68.2)

31–40

37(54.4)

44(49.4)

19(28.8)

41–50

26(38.3)

10(11.3)

2(3.0)

51–60

3(4.4)

1(1.1)

0(0)

Work experience(years)

0–5

13(19.1)

44(49.4)

31(47.0)

6–10

37(54.4)

29(32.6)

28(42.4)

11–15

11(16.2)

9(10.1)

6(9.1)

16–20

6(8.8)

4(4.5)

1(1.5)

21–25

1(1.5)

3(3.4)

0(0)

Educational status

General practitioner

63(92.6)

Specialist

5(7.4)

Associate degree

26(39.4)

Bachelor's degree

65(73.0)

34(51.5)

Master's degree

24(27.0)

5(7.6)

Ph.D

0(0)

1(1.5)

Marital status

Single

23(33.8)

35(39.3)

20(30.3)

Married

38(55.9)

49(55.1)

43(65.2)

Separation from the partner

6(8.8)

4(4.5)

3(4.5)

Partner's death

1(1.5)

1(1.1)

0(0)

Employment status

Permanent employment

43(63.2)

34(38.2)

8(12.1)

Fixed term contract

25(36.7)

47(52.8)

35(53.0)

Freelance contract

0(0)

8(9.0)

23(34.9)