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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

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

  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
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
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
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
  1. Note: counties are weighted by 1/∑ 2007/09i = 2001/03 2(CFLYi))
  2. Source: Statistical Offices of the Federation and the Länder, Statutory Long-Term Care Censuses 2001–2009 & Regional database (2013); author’s calculations