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Building a population-based diabetes register: An Italian experience.

Authors :
Ballotari, Paola
Chiatamone Ranieri, Sofia
Vicentini, Massimo
Caroli, Stefania
Gardini, Andrea
Rodolfi, Rossella
Crucco, Roberto
Greci, Marina
Manicardi, Valeria
Giorgi Rossi, Paolo
Source :
Diabetes Research & Clinical Practice. Jan2014, Vol. 103 Issue 1, p79-87. 9p.
Publication Year :
2014

Abstract

Abstract: Aims: To describe the methodology used to set up the Reggio Emilia (northern Italy) Diabetes Register. The prevalence estimates on December 31st, 2009 are also provided. Methods: The Diabetes Register covers all residents in the Reggio Emilia province. The register was created by deterministic linkage of six routinely collected data sources through a definite algorithm able to ascertain cases and to distinguish type of diabetes and model of care: Hospital Discharge, Drug Dispensation, Biochemistry Laboratory, Disease-specific Exemption, Diabetes Outpatient Clinics, and Mortality databases. Using these data, we estimated crude prevalence on December 31st, 2009 by sex, age groups, and type of diabetes. Results: There were 25,425 ascertained prevalent cases on December 31st, 2009. Drug Dispensation and Exemption databases made the greatest contribution to prevalence. Analyzing overlapping sources, more than 80% of cases were reported by at least two sources. Crude prevalence was 4.8% and 5.9% for the whole population and for people aged 18 years and over, respectively. Males accounted for 53.6%. Type 1 diabetes accounted for 3.8% of cases, while people with Type 2 diabetes were the overriding majority (91.2%), and Diabetes Outpatient Clinics treated 75.4% of people with Type 2 diabetes. Conclusion: The Register is able to quantify the burden of disease, the first step in planning, implementing, and monitoring appropriate interventions. All data sources contributed to completeness and/or accuracy of the Register. Although all cases are identified by deterministic record linkage, manual revision and General Practitioner involvement are still necessary when information is insufficient or conflicting. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
01688227
Volume :
103
Issue :
1
Database :
Academic Search Index
Journal :
Diabetes Research & Clinical Practice
Publication Type :
Academic Journal
Accession number :
94149896
Full Text :
https://doi.org/10.1016/j.diabres.2013.11.020