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A Cost Decision Model Supporting Treatment Strategy Selection in BRCA1/2 Mutation Carriers in Breast Cancer.
Carbonara, Nunzia; La Forgia, Daniele; Pellegrino, Roberta; Ressa, Cosmo; Tommasi, Stefania.
Afiliación
  • Carbonara N; Departments of Mechanics Mathematics and Management, Politecnico di Bari, 70126 Bari, Italy.
  • La Forgia D; SSD Radiodiagnostica Senologica, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II" di Bari, 70124 Bari, Italy.
  • Pellegrino R; Departments of Mechanics Mathematics and Management, Politecnico di Bari, 70126 Bari, Italy.
  • Ressa C; S.C. Chirurgia Plastica e Ricostruttiva, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II" di Bari, 70124 Bari, Italy.
  • Tommasi S; SSD Diagnostica Molecolare e Farmacogenetica, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II" di Bari, 70124 Bari, Italy.
J Pers Med ; 11(9)2021 Aug 27.
Article en En | MEDLINE | ID: mdl-34575624
ABSTRACT
In this paper, a cost decision-making model that compares the healthcare costs for diverse treatment strategies is built for BRCA-mutated women with breast cancer. Moreover, this model calculates the cancer treatment costs that could potentially be prevented, if the treatment strategy with the lowest total cost, along the entire lifetime of the patient, is chosen for high-risk women with breast cancer. The benchmark of the healthcare costs for diverse treatment strategies is selected in the presence of uncertainty, i.e., considering, throughout the lifetime of the patient, the risks and complications that may arise in each strategy and, therefore, the costs associated with the management of such events. Our results reveal a clear economic advantage of adopting the cost decision-making model for benchmarking the healthcare costs for various treatment strategies for BRCA-mutated women with breast cancer. The cost savings were higher when all breast cancer patients underwent counseling and genetic testing before deciding on any diagnostic-therapeutic path, with a probability of obtaining savings of over 75%.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: J Pers Med Año: 2021 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: J Pers Med Año: 2021 Tipo del documento: Article País de afiliación: Italia