Table 4

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

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.

Standard error (SE) in parentheses.

* P < 0.10, ** P < 0.05, *** P < 0.01.

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).

Reich et al.

Reich et al. BMC Health Services Research 2013 13:116   doi:10.1186/1472-6963-13-116

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