Literature DB >> 18928238

[Chronic obstructive pulmonary disease prevalence estimated using a standard algorithm based on electronic health data in various areas of Italy].

Annunziata Faustini1, Silvia Cascini, Massimo Arcà, Daniela Balzi, Alessandro Barchielli, Cristina Canova, Claudia Galassi, Enrica Migliore, Sante Minerba, Maria Angela Protti, Anna Romanelli, Roberta Tessari, Maria Angela Vigotti, Lorenzo Simonato.   

Abstract

AIM: to estimate the prevalence of chronic obstructive pulmonary disease (COPD) by integrating various administrative health information systems.
METHODS: prevalent COPD cases were defined as those reported in the hospital discharge registry (HDR) and cause of mortality registry (CMR) with codes 490*, 491*, 492*, 494* and 496* of the International diseases classification 9th revision. Annual prevalence was estimated in 35+ year-old residents in six Italian areas ofb different sizes, in the period 2002-2004. We included cases observed in the previous four years who were alive at the beginning of each year.
RESULTS: in 2003, age-standardized prevalence rates varied from 1.6% in Venice to 5% in Taranto. Prevalence was higher in males and increased with age. The highest rates were observed in central (Rome) and southern (Taranto) cities, especially in the 35-64 age group. HDR contributed 91% of cases. Health-tax exemption registry would increase the prevalence estimate by 0.2% if used as a third data source.
CONCLUSIONS: with respect to the National Health Status survey, COPD prevalence is underestimated by 1%-3%; this can partly be due to the selection of severe and exacerbated COPD by the algorithm used. However, age, gender and geographical characteristics of prevalent cases were comparable to national estimates. Including cases observed in previous years (longitudinal estimates) increased the point estimate (yearly) of prevalence two or three times in each area.

Entities:  

Mesh:

Year:  2008        PMID: 18928238

Source DB:  PubMed          Journal:  Epidemiol Prev        ISSN: 1120-9763            Impact factor:   1.901


  1 in total

1.  Can healthcare utilization data reliably capture cases of chronic respiratory diseases? a cross-sectional investigation in Italy.

Authors:  A Biffi; R Comoretto; A Arfè; L Scotti; L Merlino; A Vaghi; A Pesci; R de Marco; G Corrao
Journal:  BMC Pulm Med       Date:  2017-01-19       Impact factor: 3.317

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.