GSB 7.1 Standardlösung

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Diabetes in Germany - adults

Prevalence of documented diabetes

Alongside the prevalences based on RKI population-representative surveys, the additional use of DaTraV data enables even greater stratification of the documented prevalence. In particular, people of advanced age are also included, and the results can be depicted by at federal state level. It should be noted that analyses of DaTraV data yield slightly higher prevalence estimates than analyses of population-based survey data, reflecting differences in reference population, age range, and data collection.

Key messages

  • For women and men, there is a continuous increase in documented prevalence up to the age group with persons 80 years and older.
  • There are clear regional differences between federal states that persist even after taking different age structures into account.

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trend

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By state

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  • By gender

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  • By age

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  • By education group

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Results

In 2013, diabetes prevalence shows a lower prevalence of 11.2% for women 18 years and older compared to 12.6% for men 18 years and older, which is 11.9% across both genders. The prevalence increases significantly up to the age group of persons 80 years and older. While it is still 1.5% in the 30-39 age group, it rises to 9.8% in the 50-59 age group and reaches 33.1% in the age group 80 years and older. This picture is basically similar for both sexes, but women show the lower values in every age group from 40 years onwards. In 2011, the highest prevalence for both women and men is shown in Saxony-Anhalt, with 16.1% and 16.4%, respectively. In general, the new federal states and Saarland (women: 12.5%; men: 13.7%) show the highest values; at the same time, the lowest values are documented for Schleswig-Holstein (women: 8.6%; men: 10.3%) and Hamburg (women: 7.8%; men: 9.5%).

Conclusion

For both sexes, the documented prevalence presented according to 10-year age bands increases with chronological age. The regional distribution pattern resembles that from RKI survey data and can be partly explained by differences in population structure between the German states (Diederichs et al., 2017). Other possible causes are regional differences in diabetes risk factors (Diederichs et al., 2017), diabetes diagnosis (Heidemann et al., 2016), and social deprivation (Kroll et al., 2017). It should be noted that the majority of persons with diabetes have type 2 diabetes. On the basis of data from the sub-sample of insured persons of one statutory health insurance, 93% of all documented diabetes cases were assigned to type 2 diabetes, 5.5% to type 1 diabetes, and 0.4% to other specific forms of diabetes according to a developed algorithm (Reitzle et al. 2022).

Show more information on methodology and data sources

Definition

The indicator Prevalence of documented diabetes is defined as the proportion of people covered by SHI-statutory health insurance with either a documented hospital diagnosis of diabetes in at least one calendar quarter, or a verified outpatient diagnosis (E10- E14) in at least two calendar quarters, relative to all people covered by SHI-statutory health insurance in a given year.

Reference population

Adults are included in the analysis if they have statutory health insurance and have been insured for at least 360 days in the respective year, reside in Germany and have their health benefits fully reimbursed by statutory health insurance.

Data source

Claims data from all approximately 70 million people with statutory health insurance collected in accordance with the Data Transparency Ordinance (DaTraV data, among them around 55 million people aged 18 years and over.

Calculation

  • Observed relative values: The quotient of the number of people with documented diabetes in relation to the population with statutory health insurance. The stratification by federal state is based on place of residence.
  • Observed absolute values: Number of persons covered by statutory health insurance with documented diabetes.
  • Age standardisation:  Direct age standardisation used 18- to 24-year-olds as one age group, five-year age groups for the ages 25 to 29 until 80 to 84, and then a separate group for the ages 85 and over. The DaTraV population in 2013 was used as the reference population.

Data quality

DaTraV data are claims data on all people covered by SHI-statutory health insurance. DaTraV data include documented outpatient and inpatient diagnoses as well as information on prescribed medications. The quality of claims data from SHI-statutory health insurance depends on conduct of documentation. DaTraV data do not cover people insured by private health insurance and do not provide information on inpatient or outpatient care.

Data download

References and links

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