Abstract Objectives Discrete choice experiments (DCEs) are increasingly advocated as a
way to quantify preferences for health. However, increasing support does not necessarily …

Simple Summary In oncology, treatment outcomes can be competing, which means that one
treatment could benefit one outcome, like survival, and negatively influence another, like …

Background Latent class analysis (LCA) has been increasingly used to explore preference
heterogeneity, but the literature has not been systematically explored and hence best …

Background Many human immunodeficiency virus (HIV) prevention technologies (pre-
exposure prophylaxis, microbicides, vaccines) are available or in development. Preference …

Best-worst scaling (BWS) is a theory-driven choice experiment used for the prioritization of a
finite number of options. Within the context of prioritization, BWS is also known as MaxDiff …

Background Targeted pharmacotherapy has been increasingly applied in cancer treatment
due to its breakthroughs. However, the unmet needs of cancer patients are still significant …

Purpose The importance of patient-centered care in the management of type 2 diabetes
mellitus (T2DM) is widely advocated. Understanding the attributes of T2DM medications …

Background Evidence from discrete choice experiments can be used to enrich
understanding of preferences, inform the (re) design of screening programmes and/or …

Background Choice-based experiments have been increasingly used to elicit preferences
for vaccines and vaccination programs. This study aims to systematically identify and …

Background To tackle the issue with the low usage of primary healthcare service in China, it
is essential to align resource distribution with the preferences of the community residents …