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Table 4 Results of the multinomial logistic regression analysis for decedents in Switzerland regarding “place of death” (reference value: death at home), 2007-2011

From: Place of death and health care utilization for people in the last 6 months of life in Switzerland: a retrospective analysis using administrative data

 

Coefficient (SE)

Odds ratioa)

95% confidence interval

hospital : AGE

0.012 (0.001)***

1.012

1.011

1.014

hospital : SEX (female)

0.173 (0.022)***

1.188

1.139

1.240

hospital : PRIV (additional private hospital insurance)

0.102 (0.027) ***

1.107

1.051

1.167

hospital : MC (managed care plan)

-0.095 (0.035)**

0.910

0.850

0.974

hospital : DED (deductible class > Swiss francs 500)

-0.153 (0.042)***

0.858

0.791

0.932

hospital : REG_AGGLO (living in agglomeration)

-0.061 (0.025)*

0.941

0.896

0.988

hospital : REG_RURAL (living in rural area)

-0.217 (0.029)***

0.805

0.761

0.852

hospital : MMORB (> 2 chronic conditions)

0.267 (0.030)***

1.306

1.233

1.385

hospital : log(ATC + 1)

0.318 (0.013)***

1.375

1.339

1.411

hospital : log(GP + 1)

0.097 (0.012)***

1.102

1.076

1.129

hospital : log(SPEC + 1)

0.113 (0.017)***

1.120

1.083

1.158

hospital : log(HOMC + 1)

-0.058 (0.003)***

0.944

0.938

0.950

nursing home : AGE

0.098 (0.001)***

1.103

1.100

1.106

nursing home : SEX (female)

0.626 (0.025)***

1.871

1.780

1.965

nursing home : PRIV (additional private hospital insurance)

-0.253 (0.033)***

0.777

0.728

0.828

nursing home : MC (managed care plan)

-0.084 (0.041)*

0.919

0.848

0.997

nursing home : DED (deductible class > Swiss francs 500)

-0.982 (0.064)***

0.375

0.331

0.424

nursing home : REG_AGGLO (living in agglomeration)

-0.012 (0.029)

0.988

0.934

1.044

nursing home : REG_RURAL (living in rural area)

-0.112 (0.033)***

0.894

0.838

0.954

nursing home : MMORB (> 2 chronic conditions)

0.319 (0.037)***

1.376

1.279

1.480

nursing home : log(ATC + 1)

0.130 (0.014)***

1.139

1.109

1.170

nursing home : log(GP + 1)

-0.340 (0.014)***

0.712

0.692

0.732

nursing home : log(SPEC + 1)

-0.557 (0.025)***

0.573

0.546

0.602

nursing home : log(HOMC + 1)

-0.213 (0.004)***

0.808

0.802

0.815

McFadden adjusted R2:

0.17865

   

Insample class. error rate

41.38%

   

AIC

104937.1

   
  1. AGE indicates age at time of death; SEX, sex of patient; PRIV, supplementary private insurance; MC, managed care health plan; DED, deductible class; REG_AGGLO, agglomeration area of residence; REG_RURAL, rural area of residence; MMORB, multiple chronic conditions; ATC, number of different medications; GP, number of consultations with a general practitioner; SPEC, number of consultations with a specialist physician; HOMC, costs of home care.
  2. Standard error (SE) in parentheses.
  3. * P < 0.10, ** P < 0.05, *** P < 0.01.
  4. a) The regression analysis determines the regression coefficient β of each independent variable. In order to obtain the OR of the variables, the coefficients are transformed with exp (β).
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BMC Health Services Research

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