Conditional logit model DCE.

IntroductionMedical decision making is often guided bydisease-specific outcomes such as life extension or survival. Especially for older adults other outcomes like maintaining independence can be equally vital or more important. Enhanced insight into the priorities of community dwelling older adults can optimize treatment decision making and refine healthcare policy.The aim of this study was is to identify which outcomes are prioritized by adults of 50 years and older when choosing between treatment options with various outcomes in a hypothetical case of a life-threatening disease.MethodsWe conducted a Discrete Choice Experiment (DCE) with individuals aged ≥50, comparing six pairs of hypothetical treatmentoptions with five attributes: life expectancy, independence, pain, memory complaints and societal costs. Attribute utility was analyzed using a conditional logit model, and latent class analyses were employed to explore preferences in groups. Data collection took place at a four-day national fair for people aged 50 or older in Utrecht, Netherlands.ResultsIn total 333 volunteers (233 female, mean 70 yr, SD 7.7) completed the DCE. Most participants prioritized maintaining independence, followed by life expectancy and the avoidance of severe physical or cognitive impairments (p ConclusionsWhen confronted with a (possible) life threatening disease, most people aged ≥ 50 yr prioritize remaining independence and the absence of severe pain and severe memory complaints above life expectancy. A smaller subgroup prioritized life expectancy above other attributes. These attributes – including societal costs – should be taken in to account in individual treatment decision making, in clinical guidelines and national healthcare policy.