ArticleBJC reports2026
Understanding the preferences of younger women for the delivery of a service to predict breast cancer risk: a discrete choice experiment.
Article in BJC reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
7 authors.
Funding
Abstract
backgroundThis study aimed to understand the preferences of a sample of younger women (30-39 years) for the attributes of models of service delivery for a breast cancer risk-prediction service to identify how best to design a service to optimise uptake.
methodsA discrete choice experiment was used to quantify the preferences of a purposive sample of younger women (aged 30-39) without prior knowledge of their risk of developing breast cancer. Respondents chose from a series of questions including two unlabelled alternatives, representing different models of a risk-prediction service, and an opt-out alternative. Data were analysed using random parameter logit and latent class models to explore potential heterogeneity in preferences for the intervention.
resultsThe predicted uptake for a risk-prediction service ranged from 77 to 89%. Participants preferred a service with more flexible appointments which could be booked by the individual themselves. Latent class analysis suggested that around 7% of women would never have their risk predicted and for approximately 30% of women the choice would depend on the design of the service.
conclusionYounger women would be likely to choose to have their breast cancer risk predicted, although some groups were sensitive to the design of the prediction service.
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Registered trials
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