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Table 1 Demographic and structural data of course participants

From: A beginner’s view of end of life care on German intensive care units

  

All participants

Medical

Surgical

p =

Age

(n = 173)

 

n =

years

n =

years

n =

years

 
 

173

29.7

115

29.5

58

30.2

0.427$

Gender

(n = 186)

 

n =

%

n =

%

n =

%

 

m/f/nb

83/102/1

44.6/54.8/0.6

55/66/1

45.1/54.1/0.8

28/36/0

43.8/56.3/0

0.749

Doctoral thesis

(n = 212)

y/n

70/142

33.0/67.0

48/92

34.3/65.7

22/50

30.6/69.4

0.645

Specialization

(n = 215)

y/n

10/205

4.7/95.3

8/133

5.7/94.3

2/72

2.7/97.3

0.500

Emergency physician

(n = 215)

y/n

9/206

4.2/95.8

4/139

2.8/97.2

5/67

6.9/93.1

0.171

ICU work experience

(n = 215)

y/n

127/88

59.1/40.9

90/51

63.8/36.2

37/37

50/50

0.058

Hospital level of care

(n = 211)

Maxa/Non-Maxb

84/127

39.8/60.2

44/96

31.4/68.6

40/31

56.3/43.7

0.001

Number of ICU beds

(n = 212)

≤14/> 14

136/76

64.2/35.8

101/38

72.7/27.3

35/38

47.9/52.1

0.001

Resuscitation attained

(n = 214)

≤10/> 10

155/59

72.4/27.6

102/39

72.3/27.7

53/20

72.6/27.4

1.000

Resuscitation lead

(n = 211)

≤10/> 10

194/17

91.9/8.1

133/8

94.3/5.7

61/9

87.1/12.9

0.104

  1. n = indicating total number of answers; since participation was completely voluntarily, numbers might deviate
  2. m male, f female, nb nonbinary; a university hospitals and level three hospitals; b hospitals below level 3; $t-Test; Chi Square (Pearson); Fisher’s exact test