Abstract
BackgroundPrevious economic evaluations compared specific chemotherapy agents using input parameters from clinical trials and resource utilization costs. Cost-effectiveness of treatment groups (drug classes) using community-level effectiveness and cost data, however, has not been assessed for elderly patients with breast cancer. ObjectiveTo assess the cost-effectiveness of chemotherapy regimens by age and disease stage under “real-world” conditions for patients with breast cancer. MethodsThe Surveillance Epidemiology and End Results-Medicare data were used to identify patients with breast cancer with American Joint Committee on Cancer stage I/II/IIIa, hormone receptor–negative (estrogen receptor–negative and progesterone receptor–negative) patients from 1992 to 2009. Patients were categorized into three adjuvant treatment groups: 1) no chemotherapy, 2) anthracycline, and 3) non–anthracycline-based chemotherapy. Median life-years and quality-adjusted life-years (QALYs) were measured using Kaplan-Meier analysis and were evaluated against average total health care costs (2013 US dollars). ResultsA total of 4575 patients (propensity score–matched) were included for the primary analysis. The anthracycline group experienced 12.05 QALYs and mean total health care costs of $119,055, resulting in an incremental cost-effectiveness ratio of $7,688 per QALY gained as compared with the no chemotherapy group (QALYs 7.81; average health care cost $86,383). The non–anthracycline-based group was dominated by the anthracycline group with lower QALYs (9.56) and higher health care costs ($122,791). Base-case results were found to be consistent with the best-case and worst-case scenarios for utility assignments. Incremental cost-effectiveness ratios varied by age group (range $3,790–$90,405 per QALY gained). ConclusionsAnthracycline-based chemotherapy was found cost-effective for elderly patients with early stage (stage I, II, IIIa) breast cancer considering the US threshold of $100,000 per QALY. Further research may be needed to characterize differential effects across age groups.
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