Examining Choice Architecture for Genetic Testing Decisions
1 other identifier
interventional
1,012
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Mar 2020
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 11, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 26, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
March 30, 2020
CompletedFirst Submitted
Initial submission to the registry
April 28, 2020
CompletedFirst Posted
Study publicly available on registry
May 4, 2020
CompletedAugust 6, 2024
August 1, 2024
15 days
April 28, 2020
August 5, 2024
Conditions
Outcome Measures
Primary Outcomes (3)
Genetic testing decision
Opting "yes" for genetic testing or "no" refusing genetic testing
after reading the scenario and viewing frame (approximately 10 minutes)
Satisfaction with Decision Scale (SWD)
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
study completion (approximately 30 minutes)
Decisional Regret Scale (DRS)
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
study completion (approximately 30 minutes)
Secondary Outcomes (2)
Newest Vital Sign (NVS)
study completion (approximately 30 minutes)
Experience with genetic disease
Baseline (study onset)
Study Arms (2)
rare genetic disease
OTHERHypothetical scenario 1: rare, life-altering genetic condition (congenital hypogonadotropic hypogonadism)
common genetic disease
OTHERHypothetical scenario 2: common, life-threatening genetic condition (hereditary breast and ovarian cancer)
Interventions
active choice for genetic testing
"gain" frame for genetic testing
"loss" frame for genetic testing
consequences of genetic testing
social norms for genetic testing
commitments for genetic testing
Eligibility Criteria
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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Boston Collegelead
Study Sites (1)
Boston College
Chestnut Hill, Massachusetts, 02476, United States
Related Publications (1)
Dwyer AA, Shen H, Zeng Z, Gregas M, Zhao M. Framing Effects on Decision-Making for Diagnostic Genetic Testing: Results from a Randomized Trial. Genes (Basel). 2021 Jun 20;12(6):941. doi: 10.3390/genes12060941.
PMID: 34202935RESULT
Study Officials
- PRINCIPAL INVESTIGATOR
Andrew A Dwyer, PhD
Boston College
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Masking Details
- participants are blinded to arm and decision frame
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 28, 2020
First Posted
May 4, 2020
Study Start
March 11, 2020
Primary Completion
March 26, 2020
Study Completion
March 30, 2020
Last Updated
August 6, 2024
Record last verified: 2024-08
Data Sharing
- IPD Sharing
- Will not share