Results will be expressed as mean and standard deviation (SD), or as number and percentages, in the corresponding categories. Comparisons between the two study groups on admission and at 12 months will be performed using unpaired Student t-test for continuous variables, if variables to be compared have two categories; and, chi-square tests for non-continuous variables. Changes within each group were assessed by paired analysis (for example using paired t test). The effects of the intervention on mortality and time to admission will be analyzed respectively using multivariate logistic and Cox regression models, adjusted for baseline differences between groups. We will build saturated models introducing all of the covariates which result statistically significant during bivariate assessment. After this, we will build parsimonious models by excluding, one to one, all of the variables not significant according to the Wald test p-value. Finally, we will decide the final model, comparing the saturated with the parsimonious models, according to the likelihood ratio test.Statistical significance is set at a p value less than 0.05. Analyses will be done with SPSS release 20.