Literature DB >> 26306685

Genetic Knowledge Among Participants in the Coriell Personalized Medicine Collaborative.

Tara J Schmidlen1, Laura Scheinfeldt2, Ruixue Zhaoyang2, Rachel Kasper2, Kevin Sweet3, Erynn S Gordon4, Margaret Keller5, Cathy Stack6, Neda Gharani2, Mary B Daly7, Joseph Jarvis2, Michael F Christman2.   

Abstract

Genetic literacy is essential for the effective integration of genomic information into healthcare; yet few recent studies have been conducted to assess the current state of this knowledge base. Participants in the Coriell Personalized Medicine Collaborative (CPMC), a prospective study assessing the impact of personalized genetic risk reports for complex diseases and drug response on behavior and health outcomes, completed genetic knowledge questionnaires and other surveys through an online portal. To assess the association between genetic knowledge and genetic education background, multivariate linear regression was performed. 4 062 participants completed a genetic knowledge and genetic education background questionnaire. Most were older (mean age: 50), Caucasian (90 %), female (59 %), highly educated (69 % bachelor's or higher), with annual household income over $100 000 (49 %). Mean percent correct was 76 %. Controlling for demographics revealed that health care providers, participants previously exposed to genetics, and participants with 'better than most' self-rated knowledge were significantly more likely to have a higher knowledge score (p < 0.001). Overall, genetic knowledge was high with previous genetic education experience predictive of higher genetic knowledge score. Education is likely to improve genetic literacy, an important component to expanded use of genomics in personalized medicine.

Entities:  

Keywords:  Education; Genetic knowledge; Genetic literacy; Health literacy; Personalized medicine

Mesh:

Year:  2015        PMID: 26306685      PMCID: PMC4769688          DOI: 10.1007/s10897-015-9883-z

Source DB:  PubMed          Journal:  J Genet Couns        ISSN: 1059-7700            Impact factor:   2.537


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