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  3. Prevalence of diabetes mellitus in the greater Bern region (Bern-Mittelland) 2010–2014
 

Prevalence of diabetes mellitus in the greater Bern region (Bern-Mittelland) 2010–2014

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BORIS DOI
10.48350/163792
Date of Publication
2021
Publication Type
Article
Division/Institute

Universitätsklinik fü...

Contributor
Reichenbach, Nicolas
Laimer, Markusorcid-logo
Universitätsklinik für Diabetologie, Endokrinologie, Ernährungsmedizin & Metabolismus (UDEM)
Diem, Peter
Subject(s)

600 - Technology::610...

Series
Swiss medical weekly
ISSN or ISBN (if monograph)
1424-3997
Publisher
EMH Media
Language
English
Publisher DOI
10.4414/smw.2021.20478
PubMed ID
33793961
Description
Objective: Concerning diabetes mellitus, one of the greatest burdens in public health in the 21st century, epidemiological data in Switzerland are scarce. To address this issue, this study intended to use a little-known but convenient way to quantify the prevalence of diabetes mellitus in the Swiss region of Bern-Mittelland.

Methods: In a population of approximately 330,000 people, the prevalence for the years 2010–2014 in adult persons was estimated using the capture-recapture method based on data collected routinely at the University Hospital in Bern (Inselspital) using outpatient lists and the registry of persons insured with Helsana Insurance Group.

Results: The estimated prevalence of diabetes mellitus was 3.97% (95% confidence interval [CI] 3.41–4.53%) in 2010, with a slight decrease to 3.65% (95% CI 3.24–4.06%) in 2014. An average of 3430 patients with diabetes or 26% of the total number appeared on at least one patient list. The remaining 74% were unknown patients identified by the capture-recapture method.

Conclusions: The estimated prevalence of diabetes mellitus was in a range comparable to national and international studies. Thus, administratively collected data in clinics and insurance companies constitute a convenient data source for epidemiological studies. In conjunction with the capture-recapture method an approach with comparatively low effort and costs for the surveillance of chronic disease can be provided.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/59509
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