Incorporating Quantitative Patient Preference Data into Healthcare Decision Making Processes: Is HTA Falling Behind?

A recently published editorial by OHE’s David Mott considers whether quantitative patient preference data has a role to play in health technology assessment (HTA) decision making.

Evidence on patient preferences can be incorporated into HTA processes either on an ad hoc basis (for example, by asking individual patients to appear before an HTA committee to describe their symptoms and their impacts) or by systematically collecting evidence from patients. Quantitative methods are available for this purpose: patient preference data can be generated using a range of stated preference methodologies including, but not limited to: time trade-off; contingent valuation; discrete choice experiments; and best-worst scaling. The data can be used within, or considered alongside, analyses that aim to inform healthcare decision making, such as benefit-risk assessments and health technology assessments (HTAs).

Return to Knowledge Hub.