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Videos: Part 1. Measuring Preferences for a Decision Tree

2022

This multimedia segment, Part 1. Measuring Preferences for a Decision Tree, includes three videos. Students consider a choice following a motor vehicle accident—to operate, amputate, or live with a severely injured leg—to understand the importance of considering outcomes other than survival or death in decision trees. In addition to the videos, materials include an instructor's note, companion slides, a glossary, an annotated bibliography, and sample exercises.

After considering the decision options, students learn about Expected Utility Theory as the foundation for valuing outcomes, and review the 4 theoretical axioms: completeness, transitivity, independence, and continuity.  The videos then describe and walk students through the mechanics of utility elicitation—the standard gamble, time trade-off, and visual analog scale—using sample individuals facing the motor vehicle crash treatment options.

Access the videos.

Multimedia segment Part 1. Measuring Preferences for a Decision Tree (Videos 1.1, 1.2, 1.3) should be followed by Part 2. Putting Utilities into Decision Trees and Understanding Them (Videos 2.1, 2.2, 2.3).

This teaching pack was developed by Sue J. Goldie and Eve Wittenberg at the Center for Health Decision Science, Harvard T.H. Chan School of Public Health. The multimedia components were developed as part of a series of pilots in the CHDS Media Hub, led by Jake Waxman, where media-based pedagogy experiments contribute to new ways of thinking about short form content.

 

Source:

Videos. Part 1. Measuring Preferences for a Decision Tree (Video 1.1, 1.2, 1.3). Teaching Pack: Valuing Individual Health Outcomes. Center for Health Decision Science, Harvard T.H. Chan School of Public Health 2022. https://repository.chds.hsph.harvard.edu/repository/2848