Schmidt C, Reitzle L, Dreß J, Rommel A, Ziese T, Heidemann C. [Prevalence and incidence of documented diabetes based on health claims data-reference analysis for diabetes surveillance in Germany].
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2020;
63:93-102. [PMID:
31792553 DOI:
10.1007/s00103-019-03068-9]
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Abstract
BACKGROUND
The prevalence and incidence of documented diabetes are two essential indicators intended to be reported on a periodic basis within the framework of diabetes surveillance in Germany.
METHODOLOGY
Data provided based on the Data Transparency Act were analyzed. The data contain information on outpatient and inpatient care for all approximately 70 million persons with statutory health insurance. The case definition for the prevalence of documented diabetes comprises a confirmed outpatient diagnosis in at least two quarters of a year or an inpatient diagnosis in at least one quarter of a year in accordance with ICD-10 codes E10.- to E14.-. The incidence was calculated based on the same definition and with one year of diagnosis-free lead time.
RESULTS
In 2011, a prevalence of 9.7% (women: 9.4%, men: 10.1%) was observed for persons with statutory health insurance. There are considerable differences in prevalence between the federal states and the maximum gap is 7.1 percentage points (age standardized: 4.0 percentage points). Type 2 and type 1 diabetes show a documented prevalence of 7.5% and 0.28%, respectively. Unspecified diabetes is documented relatively frequently with 1.9%. In 0.21% of persons, the diagnosis diabetes is documented via one inpatient secondary diagnosis. In addition, 0.17% of people without documented diabetes have at least one prescription of an antidiabetic drug. In 2012, 565,040 insured persons were newly diagnosed with diabetes; this corresponds to 1.0% of the insured persons (women: 1.0%, men: 1.1%).
DISCUSSION
The developed reference analysis is suitable for reporting the prevalence and incidence of documented diabetes within the framework of diabetes surveillance. The differentiation of diabetes types is difficult due to coding practice.
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