Exploring genetic counselors' perceptions of usefulness and intentions to use refined risk models in clinical care based on the Technology Acceptance Model (TAM).

Autor: Heinlen C; Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.; Genetic Counseling Program, Department of Genetics, OhioHealth, Columbus, Ohio., Hovick SR; School of Communication, The Ohio State University, Columbus, Ohio., Brock GN; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio., Klamer BG; Center for Biostatistics, The Ohio State University, Columbus, Ohio., Toland AE; Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.; Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.; Department of Cancer Biology and Genetics, The Ohio State University Wexner Medical Center, Columbus, Ohio., Senter L; Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.; Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.
Jazyk: angličtina
Zdroj: Journal of genetic counseling [J Genet Couns] 2019 Jun; Vol. 28 (3), pp. 664-672. Date of Electronic Publication: 2019 Mar 07.
DOI: 10.1002/jgc4.1079
Abstrakt: Pathogenic germline mutations in the BRCA1 or BRCA2 genes are associated with an elevated lifetime risk for breast (50%-85% risk) and ovarian cancer (20%-40% risk). Genome-wide association studies have identified over 100 genetic variants associated with modified breast and/or ovarian cancer risk in BRCA1 and BRCA2 carriers. Risk models generated based on these variants have shown that these genetic modifiers strongly influence absolute risk of developing breast or ovarian cancer in BRCA mutation carriers. There is a lack of understanding, however, about the clinical applicability and utility of these risk models. To investigate this gap, we collected survey data from 274 cancer genetic counselors (GCs) through the National Society of Genetic Counselors Cancer Special Interest Group. Questions assessed perceptions of usefulness and intentions of genetic counselors to use these refined risk models in clinical care based on the Technology Acceptance Model (TAM). We found that GCs' reactions to the estimates were largely positive, though they thought the possibility of changing management based on results was unlikely. Additionally, we found that more experienced GCs were more likely to consider refined risk estimates in clinic. Support also was provided for core predictions within the TAM, whereby the perceived usefulness (indirect effect est. = 0.08, 95% CI: [0.04, 0.13]) and perceived ease of use (indirect effect est. = 0.078, 95% CI: [0.04, 0.13]) of refined risk estimates were indirectly associated with intentions to use via attitudes.
(© 2019 National Society of Genetic Counselors.)
Databáze: MEDLINE
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