التفاصيل البيبلوغرافية
| العنوان: |
Women's preferences for testing to predict breast cancer risk – a discrete choice experiment. |
| المؤلفون: |
Wang, Yi1 (AUTHOR) ephwyi@nus.edu.sg, Ho, Peh Joo1,2,3 (AUTHOR), Mou, Langming1 (AUTHOR), Li, Jingmei2,3,4 (AUTHOR) |
| المصدر: |
Journal of Translational Medicine. 1/21/2025, Vol. 23 Issue 1, p1-11. 11p. |
| مصطلحات موضوعية: |
*GENETIC risk score, *MEDICAL screening, *FULL-time employment, *MEDICAL sciences, *INSURANCE |
| مستخلص: |
Background: Risk-based breast cancer screening offers a more targeted and potentially cost-effective approach in cancer detection compared to age-based screening. This study aims to understand women's preferences and willingness for undergoing risk assessment tests. Methods: A discrete choice experiment (DCE) was conducted. Six attributes were selected to construct the DCE questionnaire: one-time cost of the test, methods for reducing late-stage breast cancer, annual breast cancer screening expenses, insurance coverage for early-stage breast cancer, family risk correlation, and risk communication methods. Women aged between 21 and 59 were recruited from Singapore. Latent class analysis was performed. Results: Three hundred twenty-eight women were included in the analysis and classified into two classes: test supporters and non-supporters. Both classes prioritised test costs and screening costs. Among non-cost attributes, the potential to reduce late-stage breast cancer diagnosis was the most influential factor. Insurance coverage increased willingness to undergo testing. Risk communication methods were not significant in influencing the decision of undergoing tests. Non-supporters were less inclined to take the test if family risk correlation was high. Younger women, married women, full-time employees, and those with a history of breast disease were more likely to be supporters. Women with a family history of breast cancer were more likely to be non-supporters. Conclusions: Financial incentives play a notable role in increasing the uptake of risk-prediction tests. However, the programme's success depends on understanding and addressing the diverse preferences of women. While cost considerations ranked highly, additional strategies are needed to engage groups that are hesitant, particularly those with a high family risk correlation. [ABSTRACT FROM AUTHOR] |
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