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Table 2 Mean aggregate length and results of the negative binomial regression analysis (N = 35,598)

From: Determinants of aggregate length of hospital stay in the last year of life in Switzerland

 

Length of stay (days)

IRR

95 % CI

Mean

SD

  

Age (at time of death) (p < 0.001)

  

0.98

0.98–0.99

Sex (p < 0.05)

 men

32.3

38.7

1.00

 

 women

31.9

38.2

1.03

1.00–1.06

Cause of death (p < 0.001)

cancer (ref.)

39.1

36.4

1.00

 

 coronary heart disease

23.6

34.8

0.68

0.65–0.70

 stroke

23.2

35.6

0.65

0.62–0.68

 COPD

35.6

44.3

0.89

0.83–0.95

 dementia

61.2

72.6

1.74

1.57–1.92

 other

29.0

38.3

0.81

0.78–0.83

Multimorbidity (p < 0.001)

no (ref.)

33.9

39.7

1.00

 

 yes

36.6

41.3

1.07

1.04–1.10

 unknown (no hospital stay)

27.5

34.8

0.79

0.77–0.82

ICU during last stay (p < 0.001)

no (ref.)

33.3

39.5

1.00

 

 1–48 h

20.3

29.9

0.65

0.62–0.67

 more than 48 h

31.3

33.2

0.97

0.93–1.01

Educational level (p < 0.001)

medium (ref.)

31.3

36.1

1.00

 

 low

31.3

37.6

0.98

0.95–1.01

 high

34.4

41.5

1.05

1.01–1.09

 unknown

34.0

43.2

1.06

1.02–1.10

House or flat owner (p < 0.001)

tenant (ref.)

33.1

40.0

1.00

 

 owner-occupier

30.7

36.4

0.93

0.91–0.95

Room category (p < 0.01)

regular (ref.)

32.4

40.1

1.00

 

 semi-private/private

31.1

32.2

1.04

1.01–1.07

Marital status (p < 0.001)

married (ref.)

32.4

37.1

1.00

 

 never married

33.1

42.9

1.04

0.99–1.08

 widowed

30.0

37.9

1.03

1.00–1.06

 divorced

38.4

44.9

1.12

1.07–1.17

Nationality (p < 0.001)

Swiss (ref.)

31.4

37.8

1.00

 

 foreign

39.8

45.1

1.09

1.04–1.14

Language region (p < 0.001)

German (ref.)

27.6

34.1

1.00

 

 French

42.1

46.5

1.36

1.32–1.40

 Italian

37.3

34.8

1.22

1.16–1.29

Nursing home bed densitya (p > 0.001)

  

0.96

0.95–0.97

  1. IRR incidence rate ratios,  95 % CI = 95 % confidence interval, p-values from likelihood ratio tests
  2. a = average number of nursing home beds per 100 habitants aged 65 years and older (per 106 regions)
  3. Data source: Swiss Federal Statistical Office, MedStat, SNC