Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/286710 
Year of Publication: 
2020
Citation: 
[Journal:] Applied Health Economics and Health Policy [ISSN:] 1179-1896 [Volume:] 19 [Issue:] 1 [Publisher:] Springer International Publishing [Place:] Cham [Year:] 2020 [Pages:] 97-109
Publisher: 
Springer International Publishing, Cham
Abstract: 
Background: Clinical evidence supports the use of genetic counselling and BRCA1/2 testing for women at risk for hereditary breast and ovarian cancer. Currently, screen-and-treat strategies are not reimbursed in the Brazilian Unified Healthcare System (SUS). The aim of this modelling study was to evaluate the cost effectiveness of a gene-based screen-and-treat strategy for BRCA1/2 in women with a high familial risk followed by preventive interventions compared with no screening. Methods Adopting the SUS perspective, a Markov model with a lifelong time horizon was developed for a cohort of healthy women aged 30 years that fulfilled the criteria for BRCA1/2 testing according to the National Comprehensive Cancer Network (NCCN) guideline. For women who tested positive, preventive options included intensified surveillance, risk-reducing bilateral mastectomy and bilateral salpingo-oophorectomy. The Markov model comprised the health states ‘well’, ‘breast cancer’, ‘death’ and two post-cancer states. Outcomes were the incremental costs per quality-adjusted life-year (QALY) and the incremental costs per life-year gained (LYG). Data were mainly obtained by a literature review. Deterministic and probabilistic sensitivity analyses were performed to assess the robustness of the results. Results In the base case, the screen-and-treat strategy resulted in additional costs of 3515 Brazilian reais (R$) (US$1698) and a gain of 0.145 QALYs, compared with no screening. The incremental cost-effectiveness ratio (ICER) was R$24,263 (US$21,724) per QALY and R$27,258 (US$24,405) per LYG. Applying deterministic sensitivity analyses, the ICER was most sensitive to the probability of a positive test result and the discount rate. In the probabilistic sensitivity analysis, a willingness to pay of R$25,000 per QALY gained for the screen-and-treat strategy resulted in a probability of cost effectiveness of 80%. Conclusion Although there is no rigorous cost-effectiveness threshold in Brazil, the result of this cost-effectiveness analysis may support the inclusion of BRCA1/2 testing for women at high-risk of cancer in the SUS. The ICER calculated for the provision of genetic testing for BRCA1/2 approximates the cost-effectiveness threshold proposed by the World Health Organization (WHO) for low- and middle-income countries.
Subjects: 
Pharmacoeconomics and Health Outcomes
Quality of Life Research
Health Economics
Health Administration
Public Health
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article
Document Version: 
Published Version

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