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Epidemiology of chronic wounds in Germany: Analysis of statutory health insurance data

Heyer, Kristina, Herberger, Katharina, Protz, Kerstin, Glaeske, Gerd, Augustin, Matthias·2016·Wound Repair and Regeneration

Abstract

Epidemiologic analyses in routine care of chronic wounds are scarce, and published studies show wide variations. This study analyzes the population‐based prevalence and incidence of chronic wounds in Germany. Secondary analyses of data from a German statutory health insurance with about 9 million insured persons were examined (2010 to 2012). Internal diagnostic validations were used to control for different inclusion criteria. In 2012, 1.04% (95% CI 1.03–1.05) of insured patients had a wound diagnosis, including 0.70% with leg ulcers and 0.27% with diabetic ulcers. Wound treatment was received by 0.43% (0.43–0.44) of patients. Prevalence and incidence increased over 3 years. Extrapolated to the German population, there were 786,407 prevalent and 196,602 incident chronic wounds, including 326,334/172,026 patients who underwent wound‐relevant treatment in 2012. There is an annually increasing frequency of chronic wounds in Germany. Chronic wound epidemiology is sensitive to wound treatment as a filter criterion.

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Metadata

Authors
Heyer, K., Herberger, K., Protz, K., Glaeske, G., & Augustin, M.
Venue
Wound Repair and Regeneration
Publisher
Wiley
Published
2016-03
Volume
24
Issue
2
Pages
434-442
ISSN
  • 1067-1927 (ISSN-L)
  • 1524-475X
OpenAlex
W2172836134
Cited by
245
References
0
FWCI
11.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Epidemiology of chronic wounds in Germany: Analysis of statutory health insurance data. https://app.cochat.ai/papers/10.1111/wrr.12387
The paper
Heyer, K., Herberger, K., Protz, K., Glaeske, G., & Augustin, M. (2016). Epidemiology of chronic wounds in Germany: Analysis of statutory health insurance data. Wound Repair and Regeneration. https://doi.org/10.1111/wrr.12387

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.