Framing Effects on Decision-Making for Diagnostic Genetic Testing: Results from a Randomized Trial

Genetic testing is increasingly part of routine clinical care. However, testing decisions may be characterized by regret as findings also implicate blood relatives. It is not known if genetic testing decisions are affected by the way information is presented (i.e., framing effects). We employed a ra...

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Main Authors: Andrew A. Dwyer, Hongjie Shen, Ziwei Zeng, Matt Gregas, Min Zhao
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Genes
Subjects:
Online Access:https://www.mdpi.com/2073-4425/12/6/941
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spelling doaj-9715f0e6243f4700b5ce1346519131d22021-07-01T00:39:42ZengMDPI AGGenes2073-44252021-06-011294194110.3390/genes12060941Framing Effects on Decision-Making for Diagnostic Genetic Testing: Results from a Randomized TrialAndrew A. Dwyer0Hongjie Shen1Ziwei Zeng2Matt Gregas3Min Zhao4William F. Connell School of Nursing, Boston College, Chestnut Hill, MA 02467, USADepartment of Measurement, Evaluation, Statistics and Assessment, Lynch School of Education, Boston College, Chestnut Hill, MA 02467, USADepartment of Measurement, Evaluation, Statistics and Assessment, Lynch School of Education, Boston College, Chestnut Hill, MA 02467, USADepartment of Research Services, Boston College, Chestnut Hill, MA 02467, USACarroll School of Management, Boston College, Chestnut Hill, MA 02467, USAGenetic testing is increasingly part of routine clinical care. However, testing decisions may be characterized by regret as findings also implicate blood relatives. It is not known if genetic testing decisions are affected by the way information is presented (i.e., framing effects). We employed a randomized factorial design to examine framing effects on hypothetical genetic testing scenarios (common, life-threatening disease and rare, life-altering disease). Participants (<i>n</i> = 1012) received one of six decision frames: choice, default (<i>n</i> = 2; opt-in, opt-out), or enhanced choice (<i>n</i> = 3, based on the Theory of Planned Behavior). We compared testing decision, satisfaction, regret, and decision cognitions across decision frames and between scenarios. Participants randomized to ‘choice’ were least likely to opt for genetic testing compared with default and enhanced choice frames (78% vs. 83–91%, <i>p</i> < 0.05). Neither satisfaction nor regret differed across frames. Perceived autonomy (behavioral control) predicted satisfaction (B = 0.085, <i>p</i> < 0.001) while lack of control predicted regret (B = 0.346, <i>p</i> < 0.001). Opting for genetic testing did not differ between disease scenarios (<i>p</i> = 0.23). Results suggest framing can nudge individuals towards opting for genetic testing. These findings have important implications for individual self-determination in the genomic era. Similarities between scenarios with disparate disease trajectories point to possible modular approaches for web-based decisional support.https://www.mdpi.com/2073-4425/12/6/941genetic testinggenetic counsellingdecision-makingchoice architecturetheory of planned behaviorhereditary breast and ovarian cancer
collection DOAJ
language English
format Article
sources DOAJ
author Andrew A. Dwyer
Hongjie Shen
Ziwei Zeng
Matt Gregas
Min Zhao
spellingShingle Andrew A. Dwyer
Hongjie Shen
Ziwei Zeng
Matt Gregas
Min Zhao
Framing Effects on Decision-Making for Diagnostic Genetic Testing: Results from a Randomized Trial
Genes
genetic testing
genetic counselling
decision-making
choice architecture
theory of planned behavior
hereditary breast and ovarian cancer
author_facet Andrew A. Dwyer
Hongjie Shen
Ziwei Zeng
Matt Gregas
Min Zhao
author_sort Andrew A. Dwyer
title Framing Effects on Decision-Making for Diagnostic Genetic Testing: Results from a Randomized Trial
title_short Framing Effects on Decision-Making for Diagnostic Genetic Testing: Results from a Randomized Trial
title_full Framing Effects on Decision-Making for Diagnostic Genetic Testing: Results from a Randomized Trial
title_fullStr Framing Effects on Decision-Making for Diagnostic Genetic Testing: Results from a Randomized Trial
title_full_unstemmed Framing Effects on Decision-Making for Diagnostic Genetic Testing: Results from a Randomized Trial
title_sort framing effects on decision-making for diagnostic genetic testing: results from a randomized trial
publisher MDPI AG
series Genes
issn 2073-4425
publishDate 2021-06-01
description Genetic testing is increasingly part of routine clinical care. However, testing decisions may be characterized by regret as findings also implicate blood relatives. It is not known if genetic testing decisions are affected by the way information is presented (i.e., framing effects). We employed a randomized factorial design to examine framing effects on hypothetical genetic testing scenarios (common, life-threatening disease and rare, life-altering disease). Participants (<i>n</i> = 1012) received one of six decision frames: choice, default (<i>n</i> = 2; opt-in, opt-out), or enhanced choice (<i>n</i> = 3, based on the Theory of Planned Behavior). We compared testing decision, satisfaction, regret, and decision cognitions across decision frames and between scenarios. Participants randomized to ‘choice’ were least likely to opt for genetic testing compared with default and enhanced choice frames (78% vs. 83–91%, <i>p</i> < 0.05). Neither satisfaction nor regret differed across frames. Perceived autonomy (behavioral control) predicted satisfaction (B = 0.085, <i>p</i> < 0.001) while lack of control predicted regret (B = 0.346, <i>p</i> < 0.001). Opting for genetic testing did not differ between disease scenarios (<i>p</i> = 0.23). Results suggest framing can nudge individuals towards opting for genetic testing. These findings have important implications for individual self-determination in the genomic era. Similarities between scenarios with disparate disease trajectories point to possible modular approaches for web-based decisional support.
topic genetic testing
genetic counselling
decision-making
choice architecture
theory of planned behavior
hereditary breast and ovarian cancer
url https://www.mdpi.com/2073-4425/12/6/941
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