Estimating colorectal cancer treatment costs: A pragmatic approach exemplified by health insurance data from Germany

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Abstract

Background: The cost of colorectal cancer (CRC) treatment is a crucial parameter to inform cost-effectiveness analyses on CRC screening but it is not readily available and therefore often lacking. We aimed to elaborate and exemplify a pragmatic approach to estimate CRC treatment cost based on health insurance data from Germany. Methods: We included two groups of persons who were continuously health-insured between 2005-2010: A) Cases: Persons with a hospital discharge diagnosis of CRC (ICD C18-C20) between 2007-2010 and no such a diagnosis between 2005-2006 (to focus on incident CRC cases); B) Controls: Persons without a diagnosis of CRC during the observation period, matched to CRC cases by age and sex (matching factor: 1:5). We considered in-patient, out-patient and drug costs and calculated incremental costs as the difference in means between cases and controls. We divided costs into three phases of care (initial, intermediate and end-of-life phase). Results: The initial, the intermediate and the end-of-life phase included 12,792, 5,280, and 3,779 CRC cases, respectively, and 63,960, 26,400, and 18,895 controls. The mean incremental costs - annualized for each phase - were €26,000, €2,300, and €51,700, respectively. The costs of the initial phase of care were higher for rectal than for colon cancer. Annualized stage-specific cost estimates ranged from €15,000 to €21,300 for early stages and from €29,800 to €35,000 for late stages. Conclusion: This pragmatic and feasible approach provided plausible estimates of CRC treatment costs in Germany; being transferable to other settings, it may thus facilitate to weigh up potential savings in treatment costs against the resources required for CRC control programs in various countries. © 2014 Haug et al.

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APA

Haug, U., Engel, S., Verheyen, F., & Linder, R. (2014). Estimating colorectal cancer treatment costs: A pragmatic approach exemplified by health insurance data from Germany. PLoS ONE, 9(2). https://doi.org/10.1371/journal.pone.0088407

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