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Healthcare costs associated with breast cancer in Germany: a claims data analysis

Author

Listed:
  • Kristine Kreis

    (Gottfried Wilhelm Leibniz Universität Hannover)

  • Marika Plöthner

    (Gottfried Wilhelm Leibniz Universität Hannover)

  • Torben Schmidt

    (Gottfried Wilhelm Leibniz Universität Hannover)

  • Richard Seufert

    (AOK Bayern, Die Gesundheitskasse, DLZ Versorgungsmanagement)

  • Katharina Schreeb

    (BioNTech AG)

  • Veronika Jahndel

    (BioNTech AG)

  • Sylke Maas

    (BioNTech AG)

  • Alexander Kuhlmann

    (Gottfried Wilhelm Leibniz Universität Hannover)

  • Jan Zeidler

    (Gottfried Wilhelm Leibniz Universität Hannover)

  • Anja Schramm

    (AOK Bayern, Die Gesundheitskasse, DLZ Versorgungsmanagement)

Abstract

Purpose This study estimates the healthcare costs associated with breast cancer (BC) for different treatment phases (initial, intermediate, terminal) in Germany from the payer’s perspective. Methods The analysis uses claims data from the AOK Bayern covering 2011–2014 for continuously insured BC patients identified through inpatient and outpatient diagnoses. We calculate the healthcare costs attributable to BC using a control group design comparing the target population to a 1:2 matched control group adjusted for age, gender, and comorbidities. For incident and prevalent BC cases, we calculate age-standardized phase-specific incremental costs stratified by cost domain. Results The initial, intermediate, and terminal phases comprise 3841, 28,315, and 1767 BC cases, respectively. BC-related incremental costs follow a u-shaped curve, with costs highest near diagnosis and death, and lower in between. With average costs of €33,237 per incident and €28,211 per prevalent case in the remaining 11 months before death, the highest BC-related incremental healthcare costs can be found in the terminal phase. In the initial phase, there were mean incremental costs of €21,455 the first 11 months after diagnosis. In the intermediate phase, incremental costs totaled €2851 per incident and €2387 per prevalent case per year. Healthcare costs decreased with age in most phases. The cost drivers depend on the treatment phase, with cytostatic drugs and inpatient treatment showing the highest economic impact in most phases. Conclusion The study concludes that BC care costs impose a relevant economic burden on statutory health insurance and vary substantially depending on the treatment phase.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:eujhec:v:21:y:2020:i:3:d:10.1007_s10198-019-01148-w
    DOI: 10.1007/s10198-019-01148-w
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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. 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.
    3. P. Sobocki & M. Ekman & H. Ågren & I. Krakau & B. Runeson & B. Mårtensson & B. Jönsson, 2007. "Resource use and costs associated with patients treated for depression in primary care," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 8(1), pages 67-76, March.
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    More about this item

    Keywords

    Breast cancer; Disease cost; Claims data; Joinpoint; Germany;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

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