A cost-benefit analysis of genetic screening test for breast cancer in Iran

BMC Cancer. 2024 Mar 1;24(1):279. doi: 10.1186/s12885-024-12003-4.

Abstract

Background: This study aimed to evaluate the implementation of the population- and family history (FH) -based screening for BReast CAncer (BRCA) in Iran, a country where less than 10% of breast cancer cases are attributable to a gene mutation.

Methods: This was an economic evaluation study. The Benefit-Cost Ratio (BCR) for genetic screening test strategies in Iranian women older than 30 was calculated. To this end, the monetary value of the test was estimated using the willingness-to-pay (WTP) approach using the contingent valuation method (CVM) by payment card. From a healthcare perspective, direct medical and non-medical costs were considered and a decision model for the strategies was developed to simulate the costs. A one-way sensitivity analysis assessed the robustness of the analysis. The data were analyzed using Excel 2010.

Results: 660 women were included for estimating WTP and 2,176,919 women were considered in the costing model. The cost per genetic screening test for population- and FH-based strategies was $167 and $8, respectively. The monetary value of a genetic screening test was $20 and it was $27 for women with a family history or gene mutation in breast cancer. The BCR for population-based and FH-based screening strategies was 0.12 and 3.37, respectively. Sensitivity analyses confirmed the robustness of the results.

Conclusions: This study recommends the implementation of a FH-based strategy instead of a population-based genetic screening strategy in Iran, although a cascade genetic screening test strategy should be evaluated in future studies.

Keywords: BRCA1 protein; BRCA2 protein; Breast cancer; Cost-benefit analysis; Economic evaluation; Screening; Willingness to pay.

MeSH terms

  • Breast Neoplasms* / diagnosis
  • Breast Neoplasms* / epidemiology
  • Breast Neoplasms* / genetics
  • Cost-Benefit Analysis
  • Early Detection of Cancer / methods
  • Female
  • Genetic Testing / methods
  • Humans
  • Iran / epidemiology