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Breast Cancer Attributable Costs in Germany: A Top-Down Approach Based on Sickness Funds Data

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  • Emil Victor Gruber
  • Stephanie Stock
  • Björn Stollenwerk

Abstract

Background: Breast cancer is the leading cause of death from cancer among women in Germany. Despite its clinical and economic relevance, no attributable costs for breast cancer have been reported for Germany so far. The objective of this study is to estimate age-specific breast cancer attributable health expenditures for Germany. Methods: Sickness fund data from 1999 representing about 26 million insured (i.e. 32% of the total German population) have been analysed using generalized additive models and the error propagation law. Costs have been inflated to 2010. Results: Breast cancer attributable costs decreased with age. Among breast cancer patients aged 30–45 years, about 90% of all health expenditures were due to breast cancer, whereas in breast cancer patients aged 80–90 years, about 50% were due to breast cancer. Breast cancer attributable costs amounted to about €9,000 annually for patients below 55 years of age and declined to about €3,000 in 90-year-old breast cancer patients. Conclusion: This analysis provides estimates of attributable breast cancer costs in Germany. Compared with the international literature, the estimates were plausible but had a tendency to underestimate breast cancer attributable costs.

Suggested Citation

  • Emil Victor Gruber & Stephanie Stock & Björn Stollenwerk, 2012. "Breast Cancer Attributable Costs in Germany: A Top-Down Approach Based on Sickness Funds Data," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-6, December.
    • Handle: RePEc:plo:pone00:0051312
    DOI: 10.1371/journal.pone.0051312
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    References listed on IDEAS

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    1. Steven Broekx & Elly Hond & Rudi Torfs & Anne Remacle & Raf Mertens & Thomas D’Hooghe & Patrick Neven & Marie-Rose Christiaens & Steven Simoens, 2011. "The costs of breast cancer prior to and following diagnosis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(4), pages 311-317, August.
    2. Drummond, Michael F. & Sculpher, Mark J. & Torrance, George W. & O'Brien, Bernie J. & Stoddart, Greg L., 2005. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 3, number 9780198529453.
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    1. Delphine Héquet & Cyrille Huchon & Anne-Laure Soilly & Bernard Asselain & Helene Berseneff & Caroline Trichot & Aline Combes & Karine Alves & Thuy Nguyen & Roman Rouzier & Sandrine Baffert, 2019. "Direct medical and non-medical costs of a one-year care pathway for early operable breast cancer: Results of a French multicenter prospective study," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-12, July.
    2. Björn Stollenwerk & Thomas Welchowski & Matthias Vogl & Stephanie Stock, 2016. "Cost-of-illness studies based on massive data: a prevalence-based, top-down regression approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(3), pages 235-244, April.
    3. Yanmei Liu & Koustuv Dalal & Björn Stollenwerk, 2013. "The Association between Health System Development and the Burden of Cardiovascular Disease: An Analysis of WHO Country Profiles," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-7, April.
    4. Kristine Kreis & Marika Plöthner & Torben Schmidt & Richard Seufert & Katharina Schreeb & Veronika Jahndel & Sylke Maas & Alexander Kuhlmann & Jan Zeidler & Anja Schramm, 2020. "Healthcare costs associated with breast cancer in Germany: a claims data analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(3), pages 451-464, April.

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