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Abstract
Purpose The objective of this study was to assess whether
the EQ-5D independently predicts all-cause mortality
and first hospitalization in a generic elderly population and
to evaluate the relationship between the EQ-5D ‘‘Class of
problems,’’ the EQ-5D index, the EQ-Visual Analogue
Scale (EQ-VAS), and the number of hospitalizations
occurring over a 2-year period.
Methods The data were collected in a longitudinal study
(over 5 years) conducted on 9,644 elderly people in
northern Italy with 5,256 completed questionnaires
returned. Multivariate Cox’s proportional hazards models
were used to assess the effect of the EQ-5D questionnaire
on 12 and 24 month mortality and first hospitalization risk,
controlling for sociodemographic and medical covariates.
Multivariate Zero-Inflated Poisson models were performed
to test the association between the EQ-5D ‘‘Class of
problems,’’ the EQ-5D index and EQ-VAS and the number
of hospitalizations over 2 years.
Results The EQ-5D ‘‘Class of problems,’’ EQ-5D index,
and EQ-VAS were consistently associated with mortality
and first hospitalization rates. The EQ-VAS was associated
with the number of hospitalizations over 2 years, though
the EQ-5D ‘‘Class of problems’’ and EQ-5D index were
not.
Conclusions The EQ-5D questionnaire is a useful predictor
of mortality and first hospitalization in a generic
elderly population in Italy. This suggests that it would be a
good instrument for evaluating the effect of social/medical
actions in a population-based study
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