Estimating Public Economic Gains from Early Breast Cancer and Curative Treatment: A Case Study in Human Epidermal Growth Factor Receptor (HER-2) Positive Targeted Therapies

Abstract

Abstract Introduction Cancer diagnosis influences the choices that patients make regarding current and future labor market activity. These choices have implications for governments based on resulting changes in taxes paid and benefits received. In this analysis we explore how human growth receptor 2 (HER2)-positive residual invasive breast cancer and different treatments influence government accounts excluding health costs. Methods HER2-positive early breast cancer (eBC) health states from a published disease model were used to establish likelihood of working and wage impact at different stages of disease. The indirect productivity losses for an average woman aged 49 years were translated into fiscal consequences to government by applying an established government perspective-modeling framework. The fiscal projections (discounted) include gross tax revenue by disease stage, government transfer costs related to time off work and early retirement ,and net fiscal balance (e.g., gross taxes—transfers) in three countries Canada, Portugal, and Brazil. Results The net fiscal balance in Canada for a healthy woman was C$109,551 compared with a HER2-positive eBC woman treated with trastuzumab emtansine (C$69,767) or trastuzumab (C$62,971). A similar pattern was observed in the three countries but reflecting the overall tax burden in each country, labor force activity, and available public benefits. Age at diagnosis was an important determinant of the likely net fiscal balance, as this influences the remaining working years. Discussion Women diagnosed with HER2-positive eBC were estimated to pay less lifetime gross taxes and receive more in sickness benefits compared with healthy women. Treatments that improve outcomes are likely to offer fiscal gains for government from improved work force participation.

Keywords

• Fiscal analysis
• Cost–benefit analysis
• HER2-positive breast cancer
• Life course modeling
• Cancer survival