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.

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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.

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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

Study is for people with:

Ovarian Cancer

Estimated Enrollment:

1012

Study ID:

NCT04372888

Recruitment Status:

Completed

Sponsor:

Boston College

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There is 1 Location for this study

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Boston College
Chestnut Hill Massachusetts, 02476, United States

How clear is this clinincal trial information?

Study is for people with:

Ovarian Cancer

Estimated Enrollment:

1012

Study ID:

NCT04372888

Recruitment Status:

Completed

Sponsor:


Boston College

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