Juan E. Bargalló, Department of Oncology, Instituto Nacional de Cancerología (INCAN), Mexico City, Mexico
José J. Ramírez, Department of Oncology, Centenario Hospital Miguel Hidalgo, Ags., Mexico
Javier Picó-Guzmán, Managing Consulting, LifeSciences Consultants, Madrid, Spain
José Ma. Abellán-Perpiñán, Department of Applied Economics, Universidad de Murcia, Murcia, Spain
Background: Breast cancer is worldwide the leading cause of death from neoplasia. Therefore, health-care centers must be prepared for assessing the most optimal management of resources while seeking the best clinical outcome. Objective: To present a currently applied model for quantification and informed decision-making by a breast cancer service in Mexico. Method: The primary information necessary to calibrate this methodology’s model was provided by the Breast Tumors Service of the National Cancer Institute of Mexico City and the Centennial Hospital Miguel Hidalgo in the city of Aguascalientes. The data analysis was carried out for each one of the health institutions because the treatment algorithm, the number of patients, and the distribution of patients by stage with breast cancer differ between both institutions. Results: The methodology allowed the assessment of the cost of the current management of breast cancer in each institution, as well as the clinical and economic impact generated by the inclusion of new innovative drugs to the current treatment algorithm. Conclusion: The proposed methodology allows the allocation of resources to be optimized, as well as estimating potential scenarios for the inclusion of new health technologies.
Keywords: Breast cancer. Resource maximization. Mexico.
