Journal
HEALTH PSYCHOLOGY REVIEW
Volume 16, Issue 3, Pages 412-429Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/17437199.2021.1980083
Keywords
Dyad; decision-making; genetic testing; family communication; APIM; non-independence
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Between 1998 and 2020, 15 studies on decision-making among family dyads were conducted, primarily focusing on cancer genetic testing and reproductive testing. The research found that factors such as attitudes, knowledge, behaviors, and psychological well-being between individuals influence each other. Therefore, the importance of considering both members of a dyad in intervention design and clinical interactions is emphasized.
Decisions involving two individuals (i.e., dyadic decision-making) have been increasingly studied in healthcare research. There is evidence of bi-directional influences in decision-making processes among spousal, provider-patient and parent-child dyads. Genetic information can directly impact biologically related individuals. Thus, it is important to understand dyadic decision-making about genetic health information among family members. This systematic literature review aimed to identify literature examining decision-making among family dyads. Peer-reviewed publications were included if they reported quantitative empirical research on dyadic decision-making about genetic information, published between January 1998 and August 2020 and written in English. The search was conducted in 6 databases and returned 3167 articles, of which 15 met the inclusion criteria. Most studies were in the context of cancer genetic testing (n = 8) or reproductive testing or screening (n = 5). Studies reported two broad categories of decisions with dyadic influence: undergoing screening or testing (n = 10) and sharing information with family (n = 5). Factors were correlated between dyads such as attitudes, knowledge, behaviors and psychological wellbeing. Emerging evidence shows that dyad members influence each other when making decisions about receiving or sharing genetic information. Our findings emphasize the importance of considering both members of a dyad in intervention design and clinical interactions.
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