Table 3 Association between the levels of knowledge and different sample characteristics

Sex

 Female

485

50.1%

454

46.9%

30

3.1%

 Male

446

42.6%

552

52.7%

50

4.8%

p = 0.001

World Bank classification

 Low-income economies

277

68.7%

120

29.8%

6

1.5%

 Lower-middle income economies

429

39.4%

604

55.5%

55

5.1%

 Upper-middle-income economies

176

44.6%

205

51.9%

14

3.5%

 High-income economies

49

37.4%

77

58.8%

5

3.8%

p < 0.001

Highest educational degree

 Bachelor's degree

741

47.8%

749

48.4%

59

3.8%

 Diploma

23

46.9%

25

51.0%

1

2.0%

 Master’s degree

68

43.3%

81

51.6%

8

5.1%

 PhD degree

46

35.9%

79

61.7%

3

2.3%

 Fellowship or board

53

39.6%

72

53.7%

9

6.7%

p = 0.066

Seniority rank

 Intern

368

50.3%

333

45.5%

31

4.2%

 Not resident (general practitioner)

193

45.8%

215

51.1%

13

3.1%

 Junior resident

136

49.6%

129

47.1%

9

3.3%

 Sub-senior Resident

55

48.7%

54

47.8%

4

3.5%

 Senior resident

51

42.1%

66

54.5%

4

3.3%

 Specialist

89

36.2%

141

57.3%

16

6.5%

 Consultant

39

35.5%

68

61.8%

3

2.7%

p = 0.006

Working hours/shift

 Less than 12 h/shift

525

44.8%

601

51.2%

47

4.0%

 12–24 h/shift

387

48.3%

383

47.8%

31

3.9%

 More than 24 h/shift

19

44.2%

22

51.2%

2

4.7%

p = 0.636

Working shifts/week

 Less than 2 shifts/week

183

56.3%

129

39.7%

13

4.0%

 2–5 shifts/week

601

45.7%

661

50.3%

52

4.0%

 More than 5 shifts/week

147

38.9%

216

57.1%

15

4.0%

p < 0.001

Average working hours/week

 Less than 40 h/week

550

50.5%

497

45.6%

42

3.9%

 40–80 h/week

326

41.2%

429

54.2%

37

4.7%

 More than 80 h/week

55

40.4%

80

58.8%

1

0.7%

p < 0.001