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Table 5 Granted and rejected euthanasia/assisted suicide (EAS) requests 1998 and 2007 by age groups (weighted %)

From: Age-based disparities in end-of-life decisions in Belgium: a population-based death certificate survey

 

Patient age (yrs)

p-value*

 

−65

65-79

80+

biv.

multiv.

1998

n = 181

n = 408

n = 640

  

Request for EAS

7,6

4,6

3,9

0.097

0.326

granted

53

32

35

0.392

0.909

rejected

47

68

65

  

2007

n = 550

n = 972

n = 1207

  

Request for EAS

10,3

5,6

2,6

<0.001

0.034

granted

63

64

38

0.039

0.296

rejected

37

36

62

  

Reasons for granting

(n = 51)

(n = 64)

(n = 27)

  

no prospect of improvement

92

77

87

0.367

0.715

request/wish of the patient

89

94

100

0.736

0.465

severe symptoms (excl. pain)

81

67

71

0.612

0.803

severe pain

69

57

50

0.508

0.702

loss of dignity

50

57

43

0.751

0.675

low expected life quality

46

61

64

0.379

0.478

expected further suffering

42

57

71

0.239

0.170

life should not be prolonged needlessly

19

45

67

0.016

0.066

request/wish of the family

19

20

50

0.095

0.651

situation unbearable for family

19

16

20

0.916

0.914

Reasons for rejecting

(n = 33)

(n = 27)

(n = 25)

  

death before request granted

60

47

32

0.230

0.548

patient revoked request

20

12

17

0.808

0.994

no well-considered request

7

11

13

0.823

0.494

fear for legal consequences

7

18

0

0.104

>0.999

suffering was not unbearable

7

0

17

0.155

0.485

principle objections

0

0

22

0.022

0.389

medical condition not hopeless

0

0

13

0.110

0.818

institutional policy

0

0

13

0.110

>0.999

patient was not terminally ill

0

0

4

0.492

>0.999

no voluntary request

0

0

0

>0.999

>0.999

other reason(s)

7

12

9

0.879

0.832

  1. Unweighted number of cases, weighted percentages.
  2. *p-values calculated by logistic regression. Multivariate regression with confounders sex, marital status, cause of death, place of death (no interaction effects); educational attainment not featured in multivariate model due to the large number of missings.