NCT04372888

Examining Choice Architecture for Genetic Testing Decisions

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 1,012 (actual)
• Sponsor: Boston College · Academic / Other
• Sex: All
• Age: 18 Years – 64 Years
• Healthy volunteers: Accepted

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.

Detailed 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.

Conditions

• Decision Making

Interventions

Type	Name	Description
BEHAVIORAL	choice decision frame	active choice for genetic testing
BEHAVIORAL	opt-in decision frame	"gain" frame for genetic testing
BEHAVIORAL	opt-out decision frame	"loss" frame for genetic testing
BEHAVIORAL	enhanced choice (context) decision frame	consequences of genetic testing
BEHAVIORAL	enhanced choice (norms) decision frame	social norms for genetic testing
BEHAVIORAL	enhanced choice (affect) decision frame	commitments for genetic testing

Timeline

• Start date: 2020-03-11
• Primary completion: 2020-03-26
• Completion: 2020-03-30
• First posted: 2020-05-04
• Last updated: 2024-08-06

Locations

1 site across 1 country: United States