Eliciting Willingness and Beliefs towards Participation in Genetic Psychiatric Testing in Black/African American Mothers at Risk for Depression

Ethnoracialized group differences in attitudes and knowledge about schizophrenia and willingness to engage in biomarker research: The UBIGR Study

Although there is renewed optimism in biomarker research in schizophrenia, there is also need for greater inclusion of historically underrepresented groups in the research. In the present study, we surveyed 599 African American, 352 American Indian/Alaska Native, and 725 NonHispanic White participants about their attitudes toward research, knowledge and attitudes about schizophrenia, and willingness to engage in biomarker testing. Attitudes toward research were examined using the standardized 7-item Research Attitudes Questionnaire (RAQ) measure. Using structural equation modeling (SEM), we tested our predictive model of the likelihood of willingness to engage in biomarker testing for schizophrenia risk. Members of historically underrepresented groups were less willing to engage in biomarker testing. Overall, attitudes toward research, particularly trust, influenced biomarker testing willingness. These findings suggest that factors influencing willingness to engage in schizophrenia biomarker testing may be modifiable by outreach engagement and education.

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 randomized factorial design to examine framing effects on hypothetical genetic testing scenarios (common, life-threatening disease and rare, life-altering disease). Participants (n = 1012) received one of six decision frames: choice, default (n = 2; opt-in, opt-out), or enhanced choice (n = 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%, p < 0.05). Neither satisfaction nor regret differed across frames. Perceived autonomy (behavioral control) predicted satisfaction (B = 0.085, p < 0.001) while lack of control predicted regret (B = 0.346, p < 0.001). Opting for genetic testing did not differ between disease scenarios (p = 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.