Examining Choice Architecture for Genetic Testing Decisions

Completed · Not applicable

Conditions studied: Decision Making

In brief

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.

Key facts

Study ID

NCT04372888

Run by

Boston College

People needed

1012

Starts

2020-03-11

Expected to finish

2020-03-30

Last updated by the study team

2024-08-06

Who can join

Age: 18 and older, up to 64. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Adult participants (18-64 yrs) residing in North America (who are members of the Amazon Mechanical Turk platform)

You may not qualify if…

• age <18yrs or >65yrs or residing outside of North America

Where it is running

• Boston College — Chestnut Hill, Massachusetts, United States

Full record on ClinicalTrials.gov

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