Objective: To examine definitions and measures for genetic literacy in the published literature, and the associations between commonly utilized measures.
Methods: We completed a systematic review searching eight databases for empirical articles containing quantitative measures of genetic literacy. Articles were assessed for study properties, definitions, and measure characteristics.
Objective: To examine cognitive, relational, and social predictors of interest in and timing preference for cancer predisposition testing (CPT) and expanded carrier screening (ECS) offered in routine gynecologic care for women of reproductive age.
Methods: Women between 20 and 35 years old who were currently pregnant or had a prior pregnancy ( = 351) completed an online survey. Bivariate and multivariable analyses were used to identify significant predictors of women's interest in and timing preference for CPT and ECS.
Introduction: Many individuals who previously received negative genetic test results are eligible for updated testing. This study examined intention to communicate updated genetic test results to relatives in participants who previously received negative genetic test results.
Methods: Women with a personal or family history of breast or ovarian cancer who tested negative for BRCA1/2 before 2013 were enrolled between April 2018 and October 2019.
Objectives: Family history is an important tool for assessing disease risk, and tailoring recommendations for screening and genetic services referral. This study explored barriers to family history collection with Spanish-speaking patients.
Methods: This qualitative study was conducted in two US healthcare systems.
This case study focuses on a video telehealth consult to discuss genetic testing results. Participants include a Genetic Counselor (GC) and a Patient (P) previously diagnosed with ovarian cancer who is currently undergoing chemotherapy treatments. Utilizing conversation analysis (CA), attention is first given to a series of interactional dilemmas as GC delivers and P responds to negative, uncertain, and complex test results.
View Article and Find Full Text PDFImportance: Clinical decision support (CDS) algorithms are increasingly being implemented in health care systems to identify patients for specialty care. However, systematic differences in missingness of electronic health record (EHR) data may lead to disparities in identification by CDS algorithms.
Objective: To examine the availability and comprehensiveness of cancer family history information (FHI) in patients' EHRs by sex, race, Hispanic or Latino ethnicity, and language preference in 2 large health care systems in 2021.
Sequencing technologies can inform individuals' risks for multiple conditions, supporting population-level screening approaches. Prior research examining interest in genetic testing has not generally examined the context of population-based approaches offered in routine healthcare or among ethnically diverse populations. Cancer predisposition testing and carrier screening could be offered broadly to women of reproductive age.
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