Elena Sophia Doll , Seraina Petra Lerch , Katja Maria Schmalenberger , Karla Alex , Stefan Kölker , Heiko Brennenstuhl , Stacey Pereira , Hadley Smith , Eva Caroline Winkler , Julia Mahal , Beate Ditzen
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引用次数: 0
Abstract
Purpose
This systematic review aims to identify the factors that influence parents’ decisions regarding pediatric diagnostic genetic testing (DT) and predictive genetic testing (PT). These factors are integrated into a conceptual decision-making model. Implications for genetic counseling, research, and ethics were derived.
Methods
PubMed, PsychInfo, WebofScience, and related references were searched for original publications between 2000 and 2023. The extracted factors were categorized using existing models.
Results
Of the 5843 publications, 56 met the inclusion criteria. The included studies differentiated between DT, traditional PT, and expanded PT and described factors affecting parental decisions to have the child genetically tested and to be informed about additional findings. Factors included (1) benefits/hopes, (2) worries/concerns, (3) values and beliefs, (4) individual circumstances, and (5) emotional states.
Conclusion
Our work extends the existing empirical decision model of family decisions about genome sequencing to genetic testing in pediatrics in general, adding the categories of individual circumstances and emotional states. These factors can be further integrated into the Health Belief Model; the importance of emotional states is reflected in dual-process theories, such as the Fuzzy Trace Theory. Research is required on emotional states, differences between DT and PT, parents’ decisions regarding result disclosure, and dyadic variables as decision-making predictors.
期刊介绍:
Genetics in Medicine (GIM) is the official journal of the American College of Medical Genetics and Genomics. The journal''s mission is to enhance the knowledge, understanding, and practice of medical genetics and genomics through publications in clinical and laboratory genetics and genomics, including ethical, legal, and social issues as well as public health.
GIM encourages research that combats racism, includes diverse populations and is written by authors from diverse and underrepresented backgrounds.