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Willard L, Uhlmann W, Prince AER, Blasco D, Pal S, Roberts JS. The Genetic Information Nondiscrimination Act and workplace genetic testing: Knowledge and perceptions of employed adults in the United States. J Genet Couns 2025; 34:e1945. [PMID: 39037108 PMCID: PMC11751123 DOI: 10.1002/jgc4.1945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 06/18/2024] [Accepted: 06/20/2024] [Indexed: 07/23/2024]
Abstract
Workplace wellness programs are an emerging avenue for health-related genetic testing, with some large employers now offering such testing to employees. Employees' knowledge and concerns regarding genetic discrimination may impact their decision-making about and uptake of workplace genetic testing (wGT). This study describes employed adults' objective knowledge of the Genetic Information Nondiscrimination Act (GINA) and evaluates how this knowledge correlates with attitudes and beliefs regarding wGT. Analyses utilized data from a large, national web-based survey of employed adults (N = 2000; mean age = 43 years; 51% female; 55.2% college educated). Overall, most respondents (57.3%) said they were unaware of any laws protecting against genetic discrimination. Specifically, 62.6% indicated they were not at all familiar with GINA. The primary study outcome was respondents' score on a 13-item measure assessing knowledge of basic facts about GINA. Participants had low overall GINA knowledge (M = 4.6/13 items correct (35%), SD = 2.9), with employees often presuming GINA offers greater legal protections than it does (e.g., 45.3% erroneously endorsed that GINA protected against discrimination in life insurance). Logistic regression analyses assessed associations between GINA knowledge and employees' demographic characteristics, prior experience with genetic testing, and attitudes regarding wGT. Variables significantly associated with GINA knowledge included higher interest in wGT (aOR = 1.45; 95% CI: 1.20, 1.77), self-reported familiarity with GINA (aOR = 2.02; 95% CI: 1.64, 2.50), and favorable attitudes toward wGT (aOR = 1.92; 95% CI: 1.52, 2.44). Results indicate public knowledge of GINA remains low over 15 years after its passage. These findings highlight the need for employee education on GINA before participating in wGT, as well as broader public education on GINA's legal protections and limitations. Genetic counselors lead GINA education efforts in clinical and public settings and can play a pivotal role in ongoing public education initiatives about GINA.
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Affiliation(s)
- Lindsay Willard
- Department of Human Genetics, School of MedicineUniversity of MichiganAnn ArborMichiganUSA
| | - Wendy Uhlmann
- Department of Human Genetics, School of MedicineUniversity of MichiganAnn ArborMichiganUSA
- Department of Internal Medicine, School of MedicineUniversity of MichiganAnn ArborMichiganUSA
| | | | - Drew Blasco
- Department of Social and Behavioral Health, School of Public HealthUniversity of Nevada, Las VegasLas VegasNevadaUSA
| | - Subhamoy Pal
- Michigan Alzheimer's Disease CenterUniversity of MichiganAnn ArborMichiganUSA
| | - J. Scott Roberts
- Department of Health Behavior & Health Education, School of Public HealthUniversity of MichiganAnn ArborMichiganUSA
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Ramsay S, Allison K, Temples HS, Bridges WC, Sarasua S. Genetic and Genomic Literacy of Healthcare Providers Treating Anorexia Nervosa in the United States: A Mixed Methods, Cross-Sectional Study. Brain Behav 2025; 15:e70441. [PMID: 40165534 PMCID: PMC11959152 DOI: 10.1002/brb3.70441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2024] [Revised: 02/24/2025] [Accepted: 02/25/2025] [Indexed: 04/02/2025] Open
Abstract
BACKGROUND Genetic testing has the potential to transform the prevention, treatment, and management of anorexia nervosa (AN) as it has for other conditions. However, healthcare providers require the knowledge and openness to implement genetic testing effectively. OBJECTIVES This study had two main objectives, first, to determine the genomic literacy of those treating AN in the United States and second to assess the viewpoints of these healthcare providers on genetic testing and research, and the influence of genetics on AN. METHODS A mixed methods approach combining the GKnowM, a validated genomic literacy tool, Likert-like statements and thematic analysis of free-text responses was used. Participant consent, dissemination of the survey, and response collection were performed through Qualtrics. RESULTS Participant's average GKnowM score was 19.6 (SD = 2.8) on a scale of 0-26 (75% correct). Positive correlations were identified between GKnowM score and responses to questions about the influence of genetics on AN and the importance of genetics research, and negative correlations were found between age and years in practice and views on the current value of genetic testing. In addition, participants communicated a need for more genetics learning opportunities, and the challenge of accessing and paying for quality AN treatment in the United States. DISCUSSION The results of this study indicate a need for targeted genetics and genomics learning opportunities for healthcare providers. Improving genomic literacy has the potential to positively influence attitudes toward genetic research and testing and empower healthcare providers to engage in productive and scientifically sound discussions with their patients and society as a whole.
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Affiliation(s)
- Sarah Ramsay
- Healthcare Genetics Program, School of NursingClemson UniversityClemsonSouth CarolinaUSA
| | - Kendra Allison
- School of NursingCollege of Behavioral, Social and Health Sciences, Clemson UniversityClemsonSouth CarolinaUSA
| | - Heide S. Temples
- Healthcare Genetics Program, School of NursingClemson UniversityClemsonSouth CarolinaUSA
| | - William C. Bridges
- School of Mathematical and Statistical SciencesClemson UniversityClemsonSouth CarolinaUSA
| | - Sara Sarasua
- Healthcare Genetics Program, School of NursingClemson UniversityClemsonSouth CarolinaUSA
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Smith HS, Zettler B, Genetti CA, Hickingbotham MR, Coleman TF, Lebo M, Nagy A, Zouk H, Mahanta L, Christensen KD, Pereira S, Shah ND, Gold NB, Walmsley S, Edwards S, Homayouni R, Krasan GP, Hakonarson H, Horowitz CR, Gelb BD, Korf BR, McGuire AL, Holm IA, Green RC. The BabySeq Project: A clinical trial of genome sequencing in a diverse cohort of infants. Am J Hum Genet 2024; 111:2094-2106. [PMID: 39288765 PMCID: PMC11480845 DOI: 10.1016/j.ajhg.2024.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 08/15/2024] [Accepted: 08/15/2024] [Indexed: 09/19/2024] Open
Abstract
Efforts to implement and evaluate genome sequencing (GS) as a screening tool for newborns and infants are expanding worldwide. The first iteration of the BabySeq Project (2015-2019), a randomized controlled trial of newborn sequencing, produced novel evidence on medical, behavioral, and economic outcomes. The second iteration of BabySeq, which began participant recruitment in January 2023, examines GS outcomes in a larger, more diverse cohort of more than 500 infants up to one year of age recruited from pediatric clinics at several sites across the United States. The trial aims for families who self-identify as Black/African American or Hispanic/Latino to make up more than 50% of final enrollment, and key aspects of the trial design were co-developed with a community advisory board. All enrolled families receive genetic counseling and a family history report. Half of enrolled infants are randomized to receive GS with comprehensive interpretation of pathogenic and likely pathogenic variants in more than 4,300 genes associated with childhood-onset and actionable adult-onset conditions, as well as larger-scale chromosomal copy number variants classified as pathogenic or likely pathogenic. GS result reports include variants associated with disease (Mendelian disease risks) and carrier status of autosomal-recessive and X-linked disorders. Investigators evaluate the utility and impacts of implementing a GS screening program in a diverse cohort of infants using medical record review and longitudinal parent surveys. In this perspective, we describe the rationale for the second iteration of the BabySeq Project, the outcomes being assessed, and the key decisions collaboratively made by the study team and community advisory board.
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Affiliation(s)
- Hadley Stevens Smith
- Department of Population Medicine, Precision Medicine Translational Research (PROMoTeR) Center, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; Center for Bioethics, Harvard Medical School, Boston, MA 02215, USA
| | - Bethany Zettler
- Department of Medicine, Mass General Brigham, Boston, MA 02115, USA; Ariadne Labs, Boston, MA 02215, USA
| | - Casie A Genetti
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA 02115, USA
| | - Madison R Hickingbotham
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Tanner F Coleman
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Matthew Lebo
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, MA 02139, USA; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Anna Nagy
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, MA 02139, USA
| | - Hana Zouk
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, MA 02139, USA; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Lisa Mahanta
- Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Boston, MA 02139, USA
| | - Kurt D Christensen
- Department of Population Medicine, Precision Medicine Translational Research (PROMoTeR) Center, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Stacey Pereira
- Center for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX 77030, USA
| | - Nidhi D Shah
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA; Dartmouth Health Children's, Lebanon, NH 03756, USA
| | - Nina B Gold
- Massachusetts General Hospital for Children, Division of Medical Genetics and Metabolism, Boston, MA 02114, USA; Harvard Medical School, Department of Pediatrics, Boston, MA 02115, USA
| | - Sheyenne Walmsley
- Department of Medicine, Mass General Brigham, Boston, MA 02115, USA; Ariadne Labs, Boston, MA 02215, USA
| | | | - Ramin Homayouni
- Department of Foundational Medical Studies, Oakland University William Beaumont School of Medicine, Rochester, MI 48309, USA
| | - Graham P Krasan
- Department of Pediatrics, Corewell Health William Beaumont University Hospital, Royal Oak, MI 48073, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, The Joseph Stokes Jr. Research Institute of Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Carol R Horowitz
- Department of Population Health Science and Policy, Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bruce D Gelb
- Mindich Child Health and Development Institute and the Departments of Pediatrics and Genetics & Genomic Sciences Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bruce R Korf
- Department of Genetics, UAB Heersink School of Medicine, Birmingham, AL 35233, USA
| | - Amy L McGuire
- Center for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ingrid A Holm
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA 02115, USA; Harvard Medical School, Department of Pediatrics, Boston, MA 02115, USA.
| | - Robert C Green
- Department of Medicine, Mass General Brigham, Boston, MA 02115, USA; Ariadne Labs, Boston, MA 02215, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA
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Wu C, Zhang H, Zhang Y, Hu M, Lin Y, He J, Li S, Zhang Y, Lang HJ. The biosafety incident response competence scale for clinical nursing staff: a development and validation study. BMC Nurs 2024; 23:180. [PMID: 38486252 PMCID: PMC10941487 DOI: 10.1186/s12912-024-01848-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 03/05/2024] [Indexed: 03/17/2024] Open
Abstract
AIMS This study was designed to develop a biosafety incident response competence scale and evaluate its validity and reliability among clinical nurses. DESIGN This study employed a sequential approach, comprising four phases: (1) the establishment of a multidimensional conceptual model, (2) the preliminary selection of the items, (3) further exploration and psychometric testing of the items, (4) the application of the scale among clinical nurses. METHODS The biosafety incident response competence conceptual model was developed through literature review and the Delphi method. A total of 1,712 clinical nurses participated in the preliminary items selection, while 1,027 clinical nurses were involved in the further psychometric testing from July 2023 to August 2023. The item analysis, exploratory factor analysis and confirmatory factor analysis were conducted to evaluate the construct validity. Reliability was measured using Cronbach's alpha, split-half reliability, and test-retest reliability, while validity analysis included content validity, structural validity, convergent validity, and discriminant validity. From September to November 2023, we conducted a survey using the established scale with a total of 4338 valid questionnaires collected. T-test and variance analysis was employed to determine potential variations in biosafety incident response competence based on participants characteristics. RESULTS The final scale is composed of 4 factors and 29 items, including monitoring and warning abilities, nursing disposal abilities, biosafety knowledge preparedness, and infection protection abilities. The explanatory variance of the 4 factors was 75.100%. The Cronbach's alpha, split-half reliability and test-retest reliability were 0.974, 0.945 and 0.840 respectively. The Scale-level content validity index was 0.866. The Average Variance Extracted of the 4 factors was larger than 0.5, the Construct Reliability was larger than 0.7, and the Heterotrait-Monotrait ratio were less than 0.9. There were significant differences in the scores of response competence among nurses of different ages, working years, titles, positions, departments, marital status and participation in biosafety training (all P < 0.05). CONCLUSIONS The biosafety incident response competence scale for nurses exhibits satisfactory reliability and validity, making it a valuable tool for assessing clinical nurses' abilities in responding to biosafety incidents.
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Affiliation(s)
- Chao Wu
- Department of Nursing, Fourth Military Medical University, No.169 Changle West Road, Xi'an, 710032, Shaanxi, China
| | - Hongli Zhang
- Department of Nursing, Fourth Military Medical University, No.169 Changle West Road, Xi'an, 710032, Shaanxi, China
- Department of Nursing, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China
| | - Yinjuan Zhang
- Department of Nursing, Fourth Military Medical University, No.169 Changle West Road, Xi'an, 710032, Shaanxi, China
- Department of Nursing, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China
| | - Mengyi Hu
- Department of Nursing, Fourth Military Medical University, No.169 Changle West Road, Xi'an, 710032, Shaanxi, China
- Department of Nursing, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China
| | - Yawei Lin
- 956th Hospital of the Chinese People's Liberation Army, Tibet Xizang, China
| | - Jing He
- Laboratory Department, Yan'an University Affiliated Hospital, Yan'an, Shaanxi, China
| | - Shuwen Li
- Department of Neurosurgery, Tangdu Hospital, No.1 Xinsi Road, Xi'an, 710032, Shaanxi, China.
| | - Yulian Zhang
- Shaanxi Provincial People's Hospital, No.256 Youyi West Road, Xi'an, 710032, Shaanxi, China.
| | - Hong-Juan Lang
- Department of Nursing, Fourth Military Medical University, No.169 Changle West Road, Xi'an, 710032, Shaanxi, China.
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Daly BM, Kaphingst KA. Variability in conceptualizations and measurement of genetic literacy. PEC INNOVATION 2023; 2:100147. [PMID: 37214533 PMCID: PMC10194132 DOI: 10.1016/j.pecinn.2023.100147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 03/01/2023] [Accepted: 03/05/2023] [Indexed: 05/24/2023]
Abstract
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. An online survey was then completed by 531 U.S. adults to examine correlations between frequently used genetic literacy measures. Results 92 articles met inclusion criteria for the systematic review. Articles rarely defined genetic literacy, and existing definitions showed inconsistencies in the knowledge and cognitive domains that comprise genetic literacy. Definitions frequently included objective conceptual knowledge, comprehension, and applied knowledge, however most measures only assessed objective or subjective knowledge. Genetic literacy measures were infrequently assessed for psychometric properties and the content domains assessed by measures varied considerably. Correlation analyses showed weak to moderate relationships between genetic literacy measures. Conclusion A comprehensive and consistent definition of genetic literacy and its cognitive and conceptual domains should be implemented to inform the development of concordant measurement tools and improve research and clinical care in genetics. Innovation We examine and compare definitions and measures of genetic literacy, suggest a more comprehensive definition, and recommendations for research development.
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Affiliation(s)
- Brianne M. Daly
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Salt Lake City, UT 84112, USA
| | - Kimberly A. Kaphingst
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Salt Lake City, UT 84112, USA
- Department of Communication, University of Utah, 255 S. Central Campus Drive, Salt Lake City, UT 84112, USA
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Little ID, Koehly LM, Gunter C. Understanding changes in genetic literacy over time and in genetic research participants. Am J Hum Genet 2022; 109:2141-2151. [PMID: 36417915 PMCID: PMC9748356 DOI: 10.1016/j.ajhg.2022.11.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 11/03/2022] [Indexed: 11/23/2022] Open
Abstract
As genomic and personalized medicine becomes mainstream, assessing and understanding the public's genetic literacy is paramount. Because genetic research drives innovation and involves much of the public, it is equally important to assess its impact on genetic literacy. We designed a survey to assess genetic literacy in three ways (familiarity, knowledge, and skills) and distributed it to two distinct samples: 2,050 members of the general population and 2,023 individuals currently enrolled in a large-scale genetic research study. We compared these data to a similar survey implemented in 2013. The results indicate that familiarity with basic genetic terms in 2021 (M = 5.36 [range 1-7], p < 0.001) and knowledge of genetic concepts in 2021 (M = 9.06 [56.6% correct], p = 0.002) are significantly higher compared to 2013 (familiarity: M = 5.08 [range 1-7]; knowledge: M = 8.72 [54.5% correct]). Those currently enrolled in a genetic study were also significantly more familiar with genetic terms (M = 5.79 [range 1-7], p < 0.001) and more knowledgeable of genetic concepts (M = 10.57 [66.1% correct], p < 0.001), and they scored higher in skills (M = 3.57 [59.5% correct], p < 0.001) than the general population (M = 5.36 [range 1-7]; M = 9.06 [56.6% correct]; M = 2.65 [44.2% correct]). The results suggest that genetic literacy is improving over time, with room for improvement. We conclude that educational interventions are needed to ensure familiarity with and comprehension of basic genetic concepts and suggest further exploration of the impact of genetic research participation on genetic literacy to determine mechanisms for potential interventions.
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Affiliation(s)
- India D Little
- Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Laura M Koehly
- Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Chris Gunter
- Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD 20892, USA; Office of the Director, National Human Genome Research Institute, Bethesda, MD 20892, USA.
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