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Completed

NCT Number: NCT04372888

Examining Choice Architecture for Genetic Testing Decisions

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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Key information

Conditions

Decision Making

Age range

18 year–64 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Boston College

Chestnut Hill, Massachusetts, 02476, United States

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

choice decision frame

Behavioral

active choice for genetic testing

opt-in decision frame

Behavioral

"gain" frame for genetic testing

opt-out decision frame

Behavioral

"loss" frame for genetic testing

enhanced choice (context) decision frame

Behavioral

consequences of genetic testing

enhanced choice (norms) decision frame

Behavioral

social norms for genetic testing

enhanced choice (affect) decision frame

Behavioral

commitments for genetic testing

Primary outcomes

  1. Genetic testing decision

    Time frame: after reading the scenario and viewing frame (approximately 10 minutes)

    Opting "yes" for genetic testing or "no" refusing genetic testing

  2. Satisfaction with Decision Scale (SWD)

    Time frame: study completion (approximately 30 minutes)

    SWD is a validated 6-item instrument, items are scored on a 1-5 scale with higher scores indicating greater satisfaction with the decision taken

  3. Decisional Regret Scale (DRS)

    Time frame: study completion (approximately 30 minutes)

    DRS is a validated 5-item instrument, items are scored on a 1-5 scale with higher scores indicating more regret with the decision taken

Secondary outcomes

  1. Newest Vital Sign (NVS)

    Time frame: study completion (approximately 30 minutes)

    NVS is a validated 6-item instrument, questions are based on reading and interpreting a food label, higher scores (more correct answers) indicate greater levels of literacy and numeracy abilities

  2. Experience with genetic disease

    Time frame: Baseline (study onset)

    Single "yes"/"no" question to determine a personal or family experience the genetic condition being presented in the scenario (arm)

Sponsors and collaborators

Lead sponsor

Boston College

Other

Registry information

Important dates

Study start
2020
Primary completion
2020
Study completion
2020
First posted
May 4, 2020
Registry last updated
Aug 6, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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