Identification of incident dementia with a case passive follow-up in a cohort of 1693 subjects in Northern Italy: reliability of a classification algorithm querying the health information system
Poster
Data di Pubblicazione:
2016
Abstract:
Health Informative Systems constitute
a powerful resource to produce epidemiological
results from large scale population-based studies.
Scientifi c literature reports an increasing number
of studies investigating through their use different
health outcomes. Aim of this study was to evaluate
the reliability of an algorithm in identifying Dementia
cases from Health Information System of ASLMi1
(HIS-Mi1) by comparing the observed incidence
with the expected in the general European population
(EuroDem)
Tipologia CRIS:
04.03 Poster in Atti di convegno
Keywords:
Classification Algorithm; Dementia; Health Information System
Elenco autori:
Adorni, FULVIO DANIELE; Prinelli, Federica; Musicco, Massimo
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