Expansion or compression of long-term care in Germany between 2001 and 2009? A small-area decomposition study based on administrative health data

Table 5 Results of the four multinomial regression models for males and females at age 65+ by care level, mean centred morbidity and mortality effects are measured in change in life days

	Sex	Covariates (Health scenarios)	Cases (Counties)	Mortality		Mortality		Morbidity
				effect in CLY		effect in CFLE		effect in CFLE		Pseudo	Miss-
				RRR	p-value	RRR	p-value	RRR	p-value	R²	sings
Any Care Level	Males	Ref: Expansion	284	1		1		1
		Stability	31	0.531	<0.001	1.052	0.001	2.341	<0.001	0.95	2
		Compression	95	0.251	<0.001	1.098	<0.001	5.980	<0.001	0.95	2
	Females	Ref: Expansion	288	1		1		1
		Stability	10	0.851	<0.001	1.021	0.064	1.271	<0.001	0.91	1
		Compression	113	0.722	<0.001	1.011	0.442	1.640	<0.001	0.91	1
Severe Care Level	Males	Ref: Expansion	161	1		1		1
		Stability	54	0.494	0.001	1.015	0.027	2.679	0.004	0.95	2
		Compression	195	0.230	<0.001	1.035	<0.001	7.464	<0.001	0.95	2
	Females	Ref: Expansion	140	1		1		1
		Stability	42	0.613	<0.001	1.012	0.130	1.964	<0.001	0.95	1
		Compression	229	0.205	<0.001	1.017	0.115	9.893	<0.001	0.95	1

Note: counties are weighted by 1/∑ ^2007/09_{i = 2001/03} (σ²(CFLY_i))
Source: Statistical Offices of the Federation and the Länder, Statutory Long-Term Care Censuses 2001–2009 & Regional database (2013); author’s calculations

ISSN: 1478-7954