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Examining Choice Architecture for Genetic Testing Decisions

NCT04372888 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1012

Last updated 2024-08-06

No results posted yet for this study

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.

Conditions

  • Decision Making

Interventions

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

Sponsors & Collaborators

  • Boston College

    lead OTHER

Principal Investigators

  • Andrew A Dwyer, PhD · Boston College

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
64 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-03-11
Primary Completion
2020-03-26
Completion
2020-03-30

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04372888 on ClinicalTrials.gov