Stated Preferences & Discrete Choice Experiments
Eliciting patient, public, and decision-maker preferences to inform equity-sensitive resource allocation.
I design and analyse discrete choice experiments (DCE), best-worst scaling, and contingent valuation studies to quantify how patients, the public, and policymakers value health and healthcare. A recurring theme is health inequality aversion — how much society is willing to trade efficiency for equity — and how it varies geographically.
Applications span targeted cancer therapies, rare-disease drug reimbursement, blood-donation incentives, long-term care insurance, and IVF, published in PharmacoEconomics, The Patient, and Value in Health.