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.
| Original language | English |
|---|---|
| Pages (from-to) | 79-87 |
| Number of pages | 9 |
| Journal | Diabetes Research and Clinical Practice |
| Volume | 103 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2014 |
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Keywords
- Chronic disease management
- Diabetes
- Population-based register
- Prevalence
- Record linkage
ASJC Scopus subject areas
- Endocrinology, Diabetes and Metabolism
- Internal Medicine
- Endocrinology
Cite this
Building a population-based diabetes register : An Italian experience. / Ballotari, Paola; Chiatamone Ranieri, Sofia; Vicentini, Massimo; Caroli, Stefania; Gardini, Andrea; Rodolfi, Rossella; Crucco, Roberto; Greci, Marina; Manicardi, Valeria; Giorgi Rossi, Paolo.
In: Diabetes Research and Clinical Practice, Vol. 103, No. 1, 01.2014, p. 79-87.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Building a population-based diabetes register
T2 - An Italian experience
AU - Ballotari, Paola
AU - Chiatamone Ranieri, Sofia
AU - Vicentini, Massimo
AU - Caroli, Stefania
AU - Gardini, Andrea
AU - Rodolfi, Rossella
AU - Crucco, Roberto
AU - Greci, Marina
AU - Manicardi, Valeria
AU - Giorgi Rossi, Paolo
PY - 2014/1
Y1 - 2014/1
N2 - 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.
AB - 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.
KW - Chronic disease management
KW - Diabetes
KW - Population-based register
KW - Prevalence
KW - Record linkage
UR - http://www.scopus.com/inward/record.url?scp=84893637892&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893637892&partnerID=8YFLogxK
U2 - 10.1016/j.diabres.2013.11.020
DO - 10.1016/j.diabres.2013.11.020
M3 - Article
C2 - 24369984
AN - SCOPUS:84893637892
VL - 103
SP - 79
EP - 87
JO - Diabetes Research and Clinical Practice
JF - Diabetes Research and Clinical Practice
SN - 0168-8227
IS - 1
ER -