Measuring What Matters Most: Discrete Choice Experiments for Eliciting Preferences in Medicine and Global Health
Health systems strive to put people at the center of care – but doing so requires understanding what communities, patients, providers, and decision makers value. Discrete choice experiments (DCEs) are increasingly used for measuring these preferences by asking people to engage in trade-offs when making decisions. By revealing what matters most to different groups, DCEs can inform the design of interventions and strategies that are more acceptable, feasible, and likely to succeed.
Foundations: Gain practical experience with each stage of DCE implementation, from developing attributes and levels, to operationalizing the study, to analyzing choice data.
Hands-on Exercises: Use Sawtooth and Qualtrics/Stata, alongside artificial intelligence-based approaches, to support the design and analysis process. No prior experience with methods or the software is required.
By the end of the course, participants will be equipped with the foundation to design, conduct, and evaluate a DCE from start to finish.