Ovarian Cancer Clinical Trial
Examining Choice Architecture for Genetic Testing Decisions
Summary
The goal of this application is to gain a deeper understanding of decision-making for genetic testing and identify effective choice-architecture-based strategies to improve decisions in genetic testing. The investigators hypothesize that choice architecture (i.e. framing) affects decision-making for hypothetical genetic testing scenarios.
Full Description
After providing opt-in electronic consent, eligible consented participants will be randomized to one of two hypothetical genetic testing scenarios (rare, life-altering genetic condition or common, life-threatening genetic condition). The genetic testing scenarios include brief detailed information about genetic testing (i.e. how results may influence treatment decisions) as well as information about standard approaches to treatment. Subjects will be randomized to receive a framing conditions (e.g. choice, opt-in, opt-out, enhanced choice). Participants will select a preferred testing option to the hypothetical scenario and will complete several validated instruments.
Eligibility Criteria
Inclusion Criteria:
Adult participants (18-64 yrs) residing in North America (who are members of the Amazon Mechanical Turk platform)
Exclusion Criteria:
age <18yrs or >65yrs or residing outside of North America
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There is 1 Location for this study
Chestnut Hill Massachusetts, 02476, United States
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