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Table 1 Demographic characteristics of the participants (N = 323)

From: Assessment of electrocardiogram interpretation competency among healthcare professionals and students of Ardabil University of Medical Sciences: a multidisciplinary study

Variables

 

N (%)

Mean (SD)

Age group

20–28 years

148 (45.8)

 

29–37 years

137 (42.4)

 

38–45 years

30 (9.3)

 

46–53 years

8 (2.5)

 

Gender

Male

121 (37.5)

 

Female

202 (62.5)

 

Educational Level

Associate Degree (AD)

11 (3.4)

 

Bachelor of Science (BSc (

218 (67.5)

 

Master of Science (MSc)

14 (4.3)

 

PhD

80 (24.8)

 

Job Title

Medical student

37 (11.5)

 

Physicians

45 (13.9)

 

Nursing student

10 (3.1)

 

Nurse

194 (60.1)

 

EMT student

8 (2.5)

 

EMT

12 (3.7)

 

Anesthesia student

8 (2.5)

 

Anesthesia staff

9 (2.8)

 

Has taken an ECG course?

Yes

111 (34.4)

 

No

212 (65.6)

 

Type of training

Online

79 (24.5)

 

Face-to-face

216 (66.9)

 

Partial face-to-face

28 (8.7)

 

Experience

  

5.94 (5.18)

Last training time Years since taking the course

  

2.41 (1.89)

How many times do you record an ECG during a work shift?

  

1.81 (2.19)

Is ECG interpretation one of your tasks?

Yes

155 (48.0)

 

no

168 (52.0)

 

Self-assessment of the ECG interpretation competency

Weak

69 (21.4)

 

Moderate

174 (53.9)

 

Good

67 (20.7)

 

Very Good

13 (4.0)

 

Do you have experience working in the coronary care unit (CCU)?

Yes

66 (20.4)

 

No

257 (79.6)

 

Type of hospital

Hospital (heart specialization)

83 (25.7)

 

General Referral hospital

180 (55.7)

 

Referral hospital (nonheart specialization)

60 (18.6)