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Tossas KY, Owens BD, Hong S, Quillin J, Adkins S, Thomson M, Winn RA. The GINA Gap - Implications for Access to Personalized Medicine among Native Americans. N Engl J Med 2025. [PMID: 40421729 DOI: 10.1056/nejmp2415951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/28/2025]
Affiliation(s)
- Katherine Y Tossas
- Massey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond
- Department of Social and Behavioral Sciences, Virginia Commonwealth University School of Public Health, Richmond
- Department of Epidemiology, Virginia Commonwealth University School of Public Health, Richmond
| | - Bianca D Owens
- Massey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond
- Department of Social and Behavioral Sciences, Virginia Commonwealth University School of Public Health, Richmond
| | - Susan Hong
- Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond
| | - John Quillin
- Department of Human and Molecular Genetics, Virginia Commonwealth University School of Medicine, Richmond
| | | | - Maria Thomson
- Massey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond
- Department of Social and Behavioral Sciences, Virginia Commonwealth University School of Public Health, Richmond
| | - Robert A Winn
- Massey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond
- Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond
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Morgan S, Lajonchere C, Prelip M, Palmer CGS. Exploring perceptions of genetic counseling student-run free clinics as an innovative service delivery model to increase access to genetic counseling services. J Genet Couns 2025; 34:e1966. [PMID: 39318130 PMCID: PMC11953586 DOI: 10.1002/jgc4.1966] [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: 11/16/2023] [Revised: 05/24/2024] [Accepted: 08/23/2024] [Indexed: 09/26/2024]
Abstract
Underrepresented groups lack access to genetics services, heightening health disparities among those who benefit from advancements in precision medicine. An innovative approach to addressing this gap in care and increasing health equity in the context of genetic counseling is student-run free clinics (SRFCs). While only one recently established SRFC for genetic counseling is reported in the literature, SRFCs have a long-standing presence in other health professional schools, such as nursing, pharmacy and physical therapy, and research supports the benefits for patients and students. This qualitative study aims to explore the perspectives of certified genetic counselors (CGCs) and genetic counseling students (GC students) regarding SRFCs as an innovative service delivery model to increase access to genetic counseling services. Semi-structured Zoom interviews were conducted with 10 CGCs and 10 GC students across the United States. Participants were asked open-ended questions about how SRFCs could meet needs of the field, potential challenges in creating and maintaining these clinics, and anticipated outcomes. Through abductive thematic analysis of interview transcripts, three main themes were identified: (1) SRFCs can be mutually beneficial as alignment with profession goals potentially leads to positive outcomes for patients and students; (2) student scope of duties will vary depending on student ability corresponding with their training timeline and level of required supervision; and (3) successful SRFC implementation and sustainability will require thoughtful planning regarding collaboration, infrastructure support, clinic operations, visibility, and protections for vulnerable groups. Participants recognized SRFCs' potential to reduce health disparities by expanding access to genetic counseling for uninsured and underinsured populations. Implementing SRFCs could enhance the quality of GC student training, providing opportunities to apply skills and gain experience working with diverse patient populations. A key subtheme was the need to foster support from the CGC community in transitioning from a traditional supervision model. This research provides a baseline framework from which to further develop and implement SRFCs for genetic counseling.
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Affiliation(s)
- Shayna Morgan
- Department of Human Genetics, David Geffen School of MedicineUCLALos AngelesCaliforniaUSA
| | - Clara Lajonchere
- Department of Neurology, David Geffen School of MedicineUCLALos AngelesCaliforniaUSA
- UCLA Institute for Precision Health, David Geffen School of MedicineUCLALos AngelesCaliforniaUSA
| | - Michael Prelip
- Department of Community Health Sciences, Fielding School of Public HealthUCLALos AngelesCaliforniaUSA
| | - Christina G. S. Palmer
- Department of Human Genetics, David Geffen School of MedicineUCLALos AngelesCaliforniaUSA
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of MedicineUCLALos AngelesCaliforniaUSA
- Institute for Society and GeneticsUCLALos AngelesCaliforniaUSA
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Lemke LN, Bupp CP, Niemchick KL. Access to clinical genetic services: An evaluation of patient referral characteristics and identifying barriers in Michigan. J Genet Couns 2025; 34:e1947. [PMID: 38987860 DOI: 10.1002/jgc4.1947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 06/26/2024] [Accepted: 06/28/2024] [Indexed: 07/12/2024]
Abstract
The utilization of genetics in medical care has enhanced the utility of precision medicine and hence increased the need for clinical genetic services. These services have reduced the costs and expanded the availability of genetic testing, but their use is limited in certain populations. This study explores the access to clinical genetic services for Michigan patients referred to a genetics clinic on the western side of the state. Factors included the travel distance (miles), wait time for appointment (days from the referral date to the date of first appointment), population demographics, and cultural characteristics. A retrospective record review of all aged patients (n = 568) referred to a genetics clinic in 2018 demonstrated that all patients were insured (100%), of which majority were white-non-Hispanic (90.7%), more than half were < 10 years of age at referral (53.3%), and most of them kept their first appointment (93.5%). Our analysis showed that the wait time was associated with referral non-compliance, p < 0.01. Adjusting for all variables, for each additional day in wait time, patients had 1% increased risk of not seeking clinical genetic services (OR = 1.01, 90% CI [1.01, 1.02]). Policies to encourage genetic service utilization and improve equitable access to precision health are needed. An opportunity exists for strategies that broaden and add diverse populations to those receiving genetic services.
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Affiliation(s)
- Lacey N Lemke
- Department of Public Health, Grand Valley State University, Grand Rapids, Michigan, USA
- Division of Quality and Infection Prevention, Northern Arizona Healthcare, Flagstaff, Arizona, USA
| | - Caleb P Bupp
- Division of Medical Genetics and Genomics, Corewell Health Helen DeVos Children's Hospital (Previously Known as Spectrum Health Helen DeVos Children's Hospital), Grand Rapids, Michigan, USA
| | - Karen L Niemchick
- Department of Public Health, Grand Valley State University, Grand Rapids, Michigan, USA
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Weerasuriya R, Elias J, Martyn M, O'Haire S, Gaff C, Smith K, Desai J, Taylor N. Facilitating Equitable Access to Genomic Testing for Advanced Cancer: A Combined Intuition and Theory-Informed Approach to Intervention Development and Deployment. Public Health Genomics 2025; 28:113-130. [PMID: 40068666 DOI: 10.1159/000544946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 02/21/2025] [Indexed: 04/08/2025] Open
Abstract
INTRODUCTION Rapid advancements in genomic testing have revolutionised cancer care diagnostics and treatment. However, keeping pace with the evolving genomics knowledge is a challenge for oncologists who are not genomic experts. This detrimentally impacts on equitable patient access to related services and benefits which require training in genomics. In Australia, cancer incidence, survival, and mortality rates are significantly worse in the most socioeconomically disadvantaged areas compared to the least disadvantaged areas. Guided by implementation science methods, the research aimed to determine how to support oncologists with varying levels of genomic expertise to tailor optimal treatment decisions and deliver a high-quality service, across diverse geographical locations. METHODS We used a novel approach combining clinician intuition and implementation science theory to co-design service interventions (i.e., service models) and associated implementation strategies to inform operationalisation. Phenomenology and principles of co-design guided two phases of data collection with two separate cohorts of oncologists delivering care to advanced cancer patients. Phase 1 interview data were coded thematically to develop the service models, while phase 2 focus group data were used to identify implementation strategies to support service model operationalisation. The Consolidated Framework for Implementation Research (CFIR) informed phase 1 and 2 data analysis. RESULTS Phase 1 established three overarching themes and nine subthemes: (1) access - potential for inequitable patient access by centralising genomic expertise, (2) indicators for test use - identifying suitable patients for complex genomic profiling (CGP) testing, and (3) supporting use of results - confidence to discuss results, particularly from germline and somatic testing. Five challenges were prioritised, mapped to the CGP clinical pathway, and coded to 11 unique CFIR constructs. Across all five prioritised challenges, we recorded 19 intuitive and generated 21 theory-informed strategies. The development of three service models (i.e., centralised expert, local super user, and point of care resources) arose through considering these strategies in combination with the study teams' broader experiences with the iPREDICT trial. In phase 2, we identified 11 implementation challenges, mapped to 7 CFIR constructs, and 11 intuitive and 20 theory-informed strategies for service model operationalisation. CONCLUSION The service models generated from our study are currently being tested in a multi-centre implementation study to evaluate feasibility, effectiveness, acceptability, sustainability, and scalability.
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Affiliation(s)
- Rona Weerasuriya
- Australian Red Cross, North Melbourne, Victoria, Australia
- Implementation to Impact (i2i), School of Population Health, Faculty of Medicine & Health, UNSW, Sydney, New South Wales, Australia
| | - Joseph Elias
- Implementation to Impact (i2i), School of Population Health, Faculty of Medicine & Health, UNSW, Sydney, New South Wales, Australia
| | - Melissa Martyn
- Melbourne Genomics Health Alliance, Parkville, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Sophie O'Haire
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Clara Gaff
- Melbourne Genomics Health Alliance, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Kortnye Smith
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Jayesh Desai
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Natalie Taylor
- Implementation to Impact (i2i), School of Population Health, Faculty of Medicine & Health, UNSW, Sydney, New South Wales, Australia
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Strehlow M, Alvarez A, Blomkalns AL, Caretta-Wyer H, Gharahbaghian L, Imler D, Khan A, Lee M, Lobo V, Newberry JA, Ribeira R, Sebok-Syer SS, Shen S, Gisondi MA. Precision emergency medicine. Acad Emerg Med 2024; 31:1150-1164. [PMID: 38940478 DOI: 10.1111/acem.14962] [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: 11/06/2023] [Revised: 04/13/2024] [Accepted: 05/23/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND Precision health is a burgeoning scientific discipline that aims to incorporate individual variability in biological, behavioral, and social factors to develop personalized health solutions. To date, emergency medicine has not deeply engaged in the precision health movement. However, rapid advances in health technology, data science, and medical informatics offer new opportunities for emergency medicine to realize the promises of precision health. METHODS In this article, we conceptualize precision emergency medicine as an emerging paradigm and identify key drivers of its implementation into current and future clinical practice. We acknowledge important obstacles to the specialty-wide adoption of precision emergency medicine and offer solutions that conceive a successful path forward. RESULTS Precision emergency medicine is defined as the use of information and technology to deliver acute care effectively, efficiently, and authentically to individual patients and their communities. Key drivers and opportunities include leveraging human data, capitalizing on technology and digital tools, providing deliberate access to care, advancing population health, and reimagining provider education and roles. Overcoming challenges in equity, privacy, and cost is essential for success. We close with a call to action to proactively incorporate precision health into the clinical practice of emergency medicine, the training of future emergency physicians, and the research agenda of the specialty. CONCLUSIONS Precision emergency medicine leverages new technology and data-driven artificial intelligence to advance diagnostic testing, individualize patient care plans and therapeutics, and strategically refine the convergence of the health system and the community.
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Affiliation(s)
- Matthew Strehlow
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Al'ai Alvarez
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Andra L Blomkalns
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Holly Caretta-Wyer
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Laleh Gharahbaghian
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Daniel Imler
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Ayesha Khan
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Moon Lee
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Viveta Lobo
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Jennifer A Newberry
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Ryan Ribeira
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Stefanie S Sebok-Syer
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Sam Shen
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Michael A Gisondi
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
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Rothschild HT, Lianoglou BR, Sahin Hodoglugil NN, Tick K, Brown JEH, Sparks TN. Trust in prenatal exome sequencing for expectant families facing unexplained fetal anomalies. Prenat Diagn 2024; 44:263-269. [PMID: 38158591 PMCID: PMC10947859 DOI: 10.1002/pd.6507] [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: 06/07/2023] [Revised: 11/10/2023] [Accepted: 12/14/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE Despite exome sequencing (ES) becoming increasingly incorporated into the prenatal setting, few studies have elucidated motivations for and trust in ES and genomic research among a diverse cohort of patients and their partners. METHODS This is a qualitative study that involved semi-structured interviews with pregnant or recently pregnant individuals and their partners, interviewed separately, in the setting of ES performed through research for a fetal structural anomaly. All interview transcripts were coded thematically and developed by a multidisciplinary team. RESULTS Thirty-five individuals participated, the majority of whom (66%) self-identified as a racial or ethnic group underrepresented in genomic research. Many patients and their partners expressed trust in the healthcare system and research process and appreciated the extensive testing for information and closure. There were nonetheless concerns about data privacy and protection for individuals, including those underrepresented, who participated in genomic testing and studies. CONCLUSION Our findings illustrate important elements of motivation, trust and concern related to prenatal ES performed in the research setting, taking into account the perspectives not only of diverse and underrepresented study participants but also partners of pregnant individuals.
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Affiliation(s)
- Harriet T Rothschild
- School of Medicine, University of California San Francisco (UCSF), San Francisco, California, USA
| | - Billie R Lianoglou
- Center for Maternal Fetal Precision Medicine, UCSF, San Francisco, California, USA
- Department of Surgery, UCSF, San Francisco, California, USA
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, UCSF, San Francisco, California, USA
| | | | - Katie Tick
- Department of Obstetrics, Gynecology and Reproductive Sciences, UCSF, San Francisco, California, USA
| | - Julia E H Brown
- Program in Bioethics, UCSF, San Francisco, California, USA
- Institute for Health & Aging, School of Nursing, UCSF, San Francisco, California, USA
| | - Teresa N Sparks
- Center for Maternal Fetal Precision Medicine, UCSF, San Francisco, California, USA
- Institute for Human Genetics, UCSF, San Francisco, California, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences, UCSF, San Francisco, California, USA
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Allen CG, Hatch A, Qanungo S, Ford M, Marrison ST, Umemba Q. Development of a Hereditary Breast and Ovarian Cancer and Genetics Curriculum for Community Health Workers: KEEP IT (Keeping Each other Engaged Program via IT) Community Health Worker Training. JOURNAL OF CANCER EDUCATION : THE OFFICIAL JOURNAL OF THE AMERICAN ASSOCIATION FOR CANCER EDUCATION 2024; 39:70-77. [PMID: 37919623 DOI: 10.1007/s13187-023-02377-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/12/2023] [Indexed: 11/04/2023]
Abstract
We developed a curriculum for community health workers (CHWs) using an innovative, community-engaged focus group and Delphi process approach. Equipping CHWs with knowledge of hereditary breast and ovarian cancer syndrome (HBOC) and genetics could help enhance identification of women at risk for HBOC, referral, and navigation through genetic services. We conducted focus groups with five CHWs and a three-round Delphi process with eight experts. In the first round of the Delphi process, participants rated and commented on draft curriculum modules. The second round involved live video discussion to highlight points of confusion and concern in the modules. The curriculum was revised and refined based on quantitative and qualitative data and reassessed by the experts in Round 3. Ultimately, agreement was achieved on eight of 10 modules when assessing for clarity of learning objectives, seven out of 10 when assessing for adult learning theory, and nine out of 10 when assessing for participants' ability to learn desired knowledge. We plan to virtually deliver this curriculum to CHWs to enhance their HBOC and genomic competencies. By equipping CHWs to understand and participate in genomics education, we can enable more equitable participation in genomics-informed clinical care and research. Beyond this curriculum, the Delphi methodology can further be used to design content for new CHW curriculums.
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Affiliation(s)
| | - Ashley Hatch
- Medical University of South Carolina, Charleston, SC, USA
| | | | - Marvella Ford
- Medical University of South Carolina, Charleston, SC, USA
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Ersig AL, Jaja C, Tluczek A. Call to Action for Advancing Equitable Genomic Newborn Screening. Public Health Genomics 2023; 26:188-193. [PMID: 37848010 PMCID: PMC10664321 DOI: 10.1159/000534648] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 09/27/2023] [Indexed: 10/19/2023] Open
Affiliation(s)
- Anne L. Ersig
- School of Nursing, University of Wisconsin-Madison, Madison, WI, USA
| | - Cheedy Jaja
- College of Nursing, University of South Florida, Tampa, FL, USA
| | - Audrey Tluczek
- School of Nursing, University of Wisconsin-Madison, Madison, WI, USA
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Wang C, Bertrand KA, Trevino-Talbot M, Flynn M, Ruderman M, Cabral HJ, Bowen DJ, Hughes-Halbert C, Palmer JR. Ethical, legal, and social implications (ELSI) and challenges in the design of a randomized controlled trial to test the online return of cancer genetic research results to U.S. Black women. Contemp Clin Trials 2023; 132:107309. [PMID: 37516165 PMCID: PMC10544717 DOI: 10.1016/j.cct.2023.107309] [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: 02/27/2023] [Revised: 06/27/2023] [Accepted: 07/26/2023] [Indexed: 07/31/2023]
Abstract
BACKGROUND A central challenge to precision medicine research efforts is the return of genetic research results in a manner that is effective, ethical, and efficient. Formal tests of alternate modalities are needed, particularly for racially marginalized populations that have historically been underserved in this context. METHODS We are conducting a randomized controlled trial (RCT) to test scalable modalities for results return and to examine the clinical utility of returning genetic research results to a research cohort of Black women. The primary aim is to compare the efficacy of two communication modalities for results return: 1) a conventional modality that entails telephone disclosure by a Board-certified genetic counselor, and 2) an online self-guided modality that entails results return directly to participants, with optional genetic counselor follow-up via telephone. The trial is being conducted among participants in the Black Women's Health Study (BWHS), where targeted sequencing of 4000 participants was previously completed. RESULTS Several ethical, legal, and social implications (ELSI) and challenges presented, which necessitated substantial revision of the original study protocol. Challenges included chain of custody, re-testing of research results in a CLIA lab, exclusion of VUS results, and digital literacy. Bioethical principles of autonomy, justice, non-maleficence, and beneficence were considered in the design of the study protocol. CONCLUSION This study is uniquely situated to provide critical evidence on the effectiveness of alternative models for genetic results return and provide further insight into the factors influencing access and uptake of genetic information among U.S. Black women. CLINICALTRIALS gov: NCT04407611.
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Affiliation(s)
- Catharine Wang
- Boston University School of Public Health, 801 Massachusetts Avenue, Boston, MA 02118, USA.
| | - Kimberly A Bertrand
- Slone Epidemiology Center at Boston University, 72 East Concord St, L-7, Boston, MA 02118, USA.
| | | | - Maureen Flynn
- MGH Institute of Health Professions, 36 1st Ave, Boston, MA 02129, USA.
| | - Maggie Ruderman
- Boston University Chobanian & Avedisian School of Medicine, 72 East Concord St, Boston, MA 02118, USA.
| | - Howard J Cabral
- Boston University School of Public Health, 801 Massachusetts Avenue, Boston, MA 02118, USA.
| | - Deborah J Bowen
- University of Washington, 1959 NE Pacific Street, Box 357120, Seattle, WA 98195, USA.
| | - Chanita Hughes-Halbert
- University of Southern California, 1845 North Soto Street, MC 9C 9239, Los Angeles, CA 90089, USA.
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, 72 East Concord St, L-7, Boston, MA 02118, USA; Boston University Chobanian & Avedisian School of Medicine, 72 East Concord St, Boston, MA 02118, USA.
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Okuyama S, White LL, Anderson KP, Medina E, Deutsch S, Ransom C, Jackson P, Kauffman TL, Mittendorf KF, Leo MC, Bulkley JE, Wilfond BS, Goddard KA, Feigelson HS. Evaluating cancer genetic services in a safety net system: overcoming barriers for a lasting impact beyond the CHARM research project. J Community Genet 2023:10.1007/s12687-023-00647-x. [PMID: 37126135 DOI: 10.1007/s12687-023-00647-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 04/14/2023] [Indexed: 05/02/2023] Open
Abstract
Underserved patients face substantial barriers to receiving cancer genetic services. The Cancer Health Assessments Reaching Many (CHARM) study evaluated ways to increase access to genetic testing for individuals in underserved populations at risk for hereditary cancer syndromes (HCS). Here, we report the successful implementation of CHARM in a low-resource environment and the development of sustainable processes to continue genetic risk assessment in this setting. The research team involved key clinical personnel and patient advisors at Denver Health to provide input on study methods and materials. Through iterative and collaborative stakeholder engagement, the team identified barriers and developed solutions that would both facilitate participation in CHARM and be feasible to implement and sustain long term in clinical care. With a focus on infrastructure building, educational modules were developed to increase awareness among referring providers, and standard methods of identifying and managing HCS patients were implemented in the electronic medical record. Three hundred sixty-four DH patients successfully completed the risk assessment tool within the study, and we observed a sustained increase in referrals to genetics for HCS (from 179 in 2017 to 427 in 2021 post-intervention). Implementation of the CHARM study at a low-resourced safety net health system resulted in sustainable improvements in access to cancer genetic risk assessment and services that continue even after the study ended.Trial registration NCT03426878.
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Affiliation(s)
- Sonia Okuyama
- Division of Oncology, Denver Health and Hospital Authority, Denver, CO, USA.
| | - Larissa L White
- Institute for Health Research, Kaiser Permanente, Aurora, CO, USA
| | | | - Elizabeth Medina
- Ambulatory Care Services, Denver Health and Hospital Authority, Denver, CO, USA
| | - Sonia Deutsch
- Ambulatory Care Services, Denver Health and Hospital Authority, Denver, CO, USA
| | | | - Paige Jackson
- Denver Health and Hospital Authority, Denver, CO, USA
| | - Tia L Kauffman
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | | | - Michael C Leo
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Joanna E Bulkley
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute and Hospital, Seattle, WA, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Katrina Ab Goddard
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR, USA
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA
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Lumpkins CY, Nelson R, Twizele Z, Ramírez M, Kimminau KS, Philp A, Mustafa RA, Godwin AK. Communicating risk and the landscape of cancer prevention - an exploratory study that examines perceptions of cancer-related genetic counseling and testing among African Americans and Latinos in the Midwest. J Community Genet 2023; 14:121-133. [PMID: 36930422 PMCID: PMC10021032 DOI: 10.1007/s12687-022-00629-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 12/21/2022] [Indexed: 03/18/2023] Open
Abstract
African American (AA) and Latino populations are impacted disproportionately by cancer incidence and mortality compared to the general US population. Contributing to these rates are multiple inheritable cancers that impact both men and women. Some of these diseases may be detected through genetic counseling and germline DNA testing; however, AA and Latinos are unaware and have limited knowledge and thus significantly underutilize these services and technologies. Research to detect influencing factors to testing uptake has also been slow due to multiple factors. The research team followed a community-based participatory research (CBPR) approach and worked with a Community Advisory Board composed of cancer survivors and co-survivors to design the exploratory study. Six focus groups were held with a pilot sample of African Americans and Latinos who self-reported to be at-risk for cancer (N = 53). The study was held over a 2-month period where attitudes, perceptions, and beliefs about cancer risk and preference regarding cancer-related genetic counseling and testing risk communication were explored. Themes that emerged included (1) the lack of knowledge about cancer-related genetic counseling and testing; (2) cancer is feared often; (3) cancer-related genetic testing was perceived as something that could help but was also perceived as unnecessary testing that exposed individuals to medical harm; and (4) benefits to test were perceived as favorable for medical personnel but not for the patient. Implications of the study provide a unique lens to explore how lived experiences among AA and Latinos may inform strategic risk communication about cancer-related genetic counseling and testing and help advance cancer health equity. Participants viewed cancer genetic testing as important cancer risk prevention strategies. Identification of perceptions of cancer risk and cancer-related genetic counseling and testing in collaboration with members of the community is needed to bolster communication efforts among these populations.
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Affiliation(s)
- Crystal Y Lumpkins
- Department of Communication, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
| | - Rafaela Nelson
- Pediatrics Department, University of Kansas Medical Center, Kansas City, KS, USA
| | - Zawadi Twizele
- University of Kansas Medical Center, Kansas City, KS, USA
| | - Mariana Ramírez
- Department of Population Health, JUNTOS Center for Advancing Latino Health, University of Kansas Medical Center, Kansas City, KS, USA
| | - Kim S Kimminau
- Department of Family and Community Medicine, University of Missouri, Columbia, MO, USA
| | | | - Reem A Mustafa
- Department of Internal Medicine, University of Kansas Health System, Kansas City, KS, USA
| | - Andrew K Godwin
- Department of Microbiology, Molecular Genetics and Immunology, University of Kansas Medical Center, Kansas City, KS, USA
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Recognizing Our Biases, Understanding the Evidence, and Responding Equitably: Application of the Socioecological Model to Reduce Racial Disparities in the NICU. Adv Neonatal Care 2023; 23:31-39. [PMID: 36700679 DOI: 10.1097/anc.0000000000000987] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Implicit bias permeates beliefs and actions both personally and professionally and results in negative health outcomes for people of color-even in the neonatal intensive care unit (NICU). NICU clinicians may naïvely and incorrectly assume that NICU families receive unbiased care. Existing evidence establishing associations between sex, race, and neonatal outcomes may perpetuate the tendency to deny racial bias in NICU practice. EVIDENCE ACQUISITION Using the socioecological model as a framework, this article outlines evidence for racial health disparities in the NICU on multiple levels-societal, community, institutional, interpersonal, and individual. Using current evidence and recommendations from the National Association of Neonatal Nurses Position Statement on "Racial Bias in the NICU," appropriate interventions and equitable responses of the NICU clinician are explored. RESULTS Based on current evidence, clinicians should reject the notion that the social construct of race is the root cause for certain neonatal morbidities. Instead, clinicians should focus on the confluence of medical and social factors contributing to each individual infant's progress. This critical distinction is not only important for clinicians employing life-saving interventions, but also for those who provide routine care, developmental care, and family education-as these biases can and do shape clinical interactions. IMPLICATIONS FOR PRACTICE AND RESEARCH Healthcare practitioners have an ethical and moral responsibility to maintain up-to-date knowledge of new evidence that impacts our clinical practice. The evidence demonstrates the importance of recognizing the enduring role of racism in the health and well-being of people of color and the need to adjust care accordingly.
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Tawfik SM, Elhosseiny AA, Galal AA, William MB, Qansuwa E, Elbaz RM, Salama M. Health inequity in genomic personalized medicine in underrepresented populations: a look at the current evidence. Funct Integr Genomics 2023; 23:54. [PMID: 36719510 DOI: 10.1007/s10142-023-00979-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 02/01/2023]
Abstract
Improvements in sequencing technology coupled with dramatic declines in the cost of genome sequencing have led to a proportional growth in the size and number of genetic datasets since the release of the human genetic sequence by The Human Genome Project (HGP) international consortium. The HGP was undeniably a significant scientific success, a turning point in human genetics and the beginning of human genomics. This burst of genetic information has led to a greater understanding of disease pathology and the potential of employing this data to deliver more precise patient care. Hence, the recognition of high-penetrance disease-causing mutations which encode drivers of disease has made the management of most diseases more specific. Nonetheless, while genetic scores are becoming more extensively used, their application in the real world is expected to be limited due to the lack of diversity in the data used to construct them. Underrepresented populations, such as racial and ethnic minorities, low-income individuals, and those living in rural areas, often experience greater health disparities and worse health outcomes compared to the general population. These disparities are often the result of systemic barriers, such as poverty, discrimination, and limited access to healthcare. Addressing health inequity in underrepresented populations requires addressing the underlying social determinants of health and implementing policies and programs which promoted health equity and reduce disparities. This can include expanding access to affordable healthcare, addressing poverty and unemployment, and promoting policies that combat discrimination and racism.
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Affiliation(s)
- Sherouk M Tawfik
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt.,Department of Pharmacology and Biochemistry, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, 11837, Egypt
| | - Aliaa A Elhosseiny
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt.,Department of Pharmacology and Biochemistry, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, 11837, Egypt
| | - Aya A Galal
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt.,Systems Genomics Laboratory, The American University in Cairo, New Cairo, Egypt
| | - Martina B William
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt.,Department of Clinical Pharmacy, Faculty of Pharmacy, Assiut University, Assiut, Egypt
| | - Esraa Qansuwa
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt
| | - Rana M Elbaz
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt
| | - Mohamed Salama
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt. .,Faculty of Medicine, Mansoura University, Mansoura, Egypt. .,Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
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14
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Mohnasky M, Brondon J, Lee SY, Kim KR. Sociodemographic characteristics of pediatric patients with vascular malformations: Results of a single site study. Front Pediatr 2023; 11:1078611. [PMID: 36873648 PMCID: PMC9978219 DOI: 10.3389/fped.2023.1078611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 01/31/2023] [Indexed: 02/18/2023] Open
Abstract
Vascular malformations, the abnormal development of blood vessels, are a rare set of congenital anomalies. The sociodemographic factors associated with vascular malformations in pediatric patients are poorly understood. This study examined sociodemographic factors of 352 patients presenting to a single vascular anomaly center from July 2019 to September 2022. Characteristics such as race, ethnicity, sex, age at presentation, degree of urbanization, and insurance status were recorded. This data was analyzed by comparing the different types of vascular malformations, including arteriovenous malformation, capillary malformation, venous malformation (VM), lymphatic malformation (LM), lymphedema, and overgrowth syndrome. Patients were primarily white, not Hispanic or Latino, female, had private health insurance, and were from the most urban setting. No differences in sociodemographic factors were found among the different vascular malformations except patients with VM presented at a later age than patients with LM or overgrowth syndrome. This study provides novel insight into the sociodemographic factors of pediatric patients presenting with vascular malformations and indicates a need for their improved recognition for the timely initiation of treatment.
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Affiliation(s)
- Michael Mohnasky
- School of Medicine, University of North Carolina, Chapel Hill, NC, United States
| | - Jennifer Brondon
- School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Department of Pediatrics, University of North Carolina, Chapel Hill, NC, United States
| | - Sang Yub Lee
- Department of Radiology, Samsung Medical Center, Seoul, South Korea
| | - Kyung Rae Kim
- School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Department of Radiology, University of North Carolina, Chapel Hill, NC, United States
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15
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Bays HE, Gonsahn-Bollie S, Younglove C, Wharton S. Obesity Pillars Roundtable: Body mass index and body composition in Black and Female individuals. Race-relevant or racist? Sex-relevant or sexist? OBESITY PILLARS 2022; 4:100044. [PMID: 37990673 PMCID: PMC10662008 DOI: 10.1016/j.obpill.2022.100044] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 11/13/2022] [Accepted: 11/14/2022] [Indexed: 11/23/2023]
Abstract
Background Body mass index (BMI or weight in kilograms/height in meters2) is the most common metric to diagnose overweight and obesity. However, a body composition analysis more thoroughly assesses adiposity, percent body fat, lean body mass (i.e., including skeletal muscle), and sometimes bone mineral density. BMI is not an accurate assessment of body fat in individuals with increased or decreased muscle mass; the diagnostic utility of BMI in individuals is also influenced by race and sex. Methods Previous Obesity Pillars Roundtables addressed the diagnostic limitations of BMI, the importance of android and visceral fat (especially among those with South and East Asian ancestry), and considerations of obesity among individuals who identify as Hispanic, diverse in sexual-orientation, Black, Native American, and having ancestry from the Mediterranean and Middle East regions. This roundtable examines considerations of BMI in Black and female individuals. Results The panelists agreed that body composition assessment was a more accurate measure of adiposity and muscle mass than BMI. When it came to matters of race and sex, one panelist felt: "race is a social construct and not a defining biology." Another felt that: "BMI should be a screening tool to prompt further evaluation of adiposity that utilizes better diagnostic tools for body composition." Regarding bias and misperceptions of resistance training in female individuals, another panelist stated: "I have spent my entire medical career taking care of women and have never seen a woman unintentionally gain 'too much' muscle mass and bulk up from moderate strength training." Conclusions Conveying the importance of race and sex regarding body composition has proven challenging, with the discussion sometimes devolving into misunderstandings or misinformation that may be perceived as racist or sexist. Body composition analysis is the ultimate diagnostic equalizer in addressing the inaccuracies and biases inherent in the exclusive use of BMI.
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Affiliation(s)
- Harold Edward Bays
- American Board of Obesity Medicine, Medical Director / President Louisville Metabolic and Atherosclerosis Research Center Clinical Associate Professor / University of Louisville Medical School, 3288 Illinois Avenue Louisville KY, 40213, USA
| | - Sylvia Gonsahn-Bollie
- American Board of Obesity Medicine, Embrace You Weight & Wellness Founder, Black Physicians Healthcare Network, Council of Black Obesity Physicians Founding Member, 8705 Colesville Rd Suite 103, Silver Spring, MD, 20910, USA
| | - Courtney Younglove
- American Board of Obesity Medicine, Founder/Medical Director: Heartland Weight Loss, 14205 Metcalf Avenue Overland Park, KS, 66223, USA
| | - Sean Wharton
- McMaster University, York University, University of Toronto Wharton Medical Clinic 2951 Walker’s Line, Burlington,Ontario, Canada
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16
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Paluch-Shimon S, Cardoso F, Partridge AH, Abulkhair O, Azim HA, Bianchi-Micheli G, Cardoso MJ, Curigliano G, Gelmon KA, Gentilini O, Harbeck N, Kaufman B, Kim SB, Liu Q, Merschdorf J, Poortmans P, Pruneri G, Senkus E, Sirohi B, Spanic T, Sulosaari V, Peccatori F, Pagani O. ESO-ESMO fifth international consensus guidelines for breast cancer in young women (BCY5). Ann Oncol 2022; 33:1097-1118. [PMID: 35934170 DOI: 10.1016/j.annonc.2022.07.007] [Citation(s) in RCA: 94] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 07/14/2022] [Accepted: 07/17/2022] [Indexed: 12/31/2022] Open
Abstract
We dedicate this manuscript in memory of a dear friend and colleague Bella Kaufman. The fifth International Consensus Symposium for Breast Cancer in Young Women (BCY5) took place virtually in October 2020, organized by the European School of Oncology (ESO) and the European Society of Medical Oncology (ESMO). Consensus recommendations for the management of breast cancer in young women were updated from BCY4 with incorporation of new evidence to inform the guidelines. Areas of research priorities as well as specificities in different geographic and minority populations were identified. This manuscript summarizes the ESO-ESMO international consensus recommendations, which are also endorsed by the European Society of Breast Specialists (EUSOMA).
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Affiliation(s)
- S Paluch-Shimon
- Hadassah University Hospital & Faculty of Medicine, Hebrew University, Jerusalem, Israel.
| | - F Cardoso
- Breast Unit, Champalimaud Clinical Centre/Champalimaud Foundation, Lisbon, Portugal
| | | | - O Abulkhair
- King Abdulaziz Medical City for National Guard, Riyadh, Saudi Arabia
| | - H A Azim
- Breast Cancer Center, Hospital Zambrano Hellion, Tecnologico de Monterrey, San Pedro Garza Garcia, Nuevo Leon, Mexico
| | | | - M J Cardoso
- Breast Unit, Champalimaud Clinical Centre/Champalimaud Foundation, Lisbon, Portugal
| | - G Curigliano
- European Institute of Oncology IRCCS, Milan; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - K A Gelmon
- British Columbia Cancer, Vancouver, Canada
| | | | - N Harbeck
- Breast Center, Department of OB&GYN and CCCMunich, LMU University Hospital, Munich, Germany
| | - B Kaufman
- Sheba Medical Center, Ramat Gan, Israel
| | - S B Kim
- Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Q Liu
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | | | - P Poortmans
- Iridium Netwerk, Department of Radiation Oncology & University of Antwerp, Faculty of Medicine and Health Sciences, Wilrijk-Antwerp, Belgium
| | - G Pruneri
- National Cancer Institute, IRCCS Foundation, Milan, Italy
| | - E Senkus
- Medical University of Gdansk, Gdansk, Poland
| | - B Sirohi
- Max Institute of Cancer Care, New Delhi and Gurgaon, India
| | - T Spanic
- Europa Donna Slovenia, Ljubljana, Slovenia
| | - V Sulosaari
- European Oncology Nursing Society (EONS) and Turku University of Applied Sciences, Turku, Finland
| | - F Peccatori
- European Institute of Oncology IRCCS, Milan; European Institute of Oncology IRCCS & European School of Oncology, Milan, Italy
| | - O Pagani
- Interdisciplinary Cancer Service Hospital Riviera-Chablais Rennaz, Vaud, Geneva University Hospitals, Lugano University, Swiss Group for Clinical Cancer Research (SAKK), Lugano, Switzerland
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17
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Lessons Learned from the Pilot Phase of a Population-Wide Genomic Screening Program: Building the Base to Reach a Diverse Cohort of 100,000 Participants. J Pers Med 2022; 12:jpm12081228. [PMID: 36013178 PMCID: PMC9410232 DOI: 10.3390/jpm12081228] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 07/18/2022] [Indexed: 11/17/2022] Open
Abstract
Background and Objectives: Genomic information is increasingly relevant for disease prevention and risk management at the individual and population levels. Screening healthy adults for Tier 1 conditions of hereditary breast and ovarian cancer, Lynch syndrome, and familial hypercholesterolemia using a population-based approach can help identify the 1−2% of the US population at increased risk of developing diseases associated with these conditions and tailor prevention strategies. Our objective is to report findings from an implementation science study that evaluates multi-level facilitators and barriers to implementation of the In Our DNA SC population-wide genomic screening initiative. Methods: We established an IMPACTeam (IMPlementAtion sCience for In Our DNA SC Team) to evaluate the pilot phase using principles of implementation science. We used a parallel convergent mixed methods approach to assess the Reach, Implementation, and Effectiveness outcomes from the RE-AIM implementation science framework during the pilot phase of In Our DNA SC. Quantitative assessment included the examination of frequencies and response rates across demographic categories using chi-square tests. Qualitative data were audio-recorded and transcribed, with codes developed by the study team based on the semi-structured interview guide. Results: The pilot phase (8 November 2021, to 7 March 2022) included recruitment from ten clinics throughout South Carolina. Reach indicators included enrollment rate and representativeness. A total of 23,269 potential participants were contacted via Epic’s MyChart patient portal with 1976 (8.49%) enrolled. Black individuals were the least likely to view the program invitation (28.9%) and take study-related action. As a result, there were significantly higher enrollment rates among White (10.5%) participants than Asian (8.71%) and Black (3.46%) individuals (p < 0.0001). Common concerns limiting reach and participation included privacy and security of results and the impact participation would have on health or life insurance. Facilitators included family or personal history of a Tier 1 condition, prior involvement in genetic testing, self-interest, and altruism. Assessment of implementation (i.e., adherence to protocols/fidelity to protocols) included sample collection rate (n = 1104, 55.9%) and proportion of samples needing recollection (n = 19, 1.7%). There were no significant differences in sample collection based on demographic characteristics. Implementation facilitators included efficient collection processes and enthusiastic clinical staff. Finally, we assessed the effectiveness of the program, finding low dropout rates (n = 7, 0.35%), the identification of eight individuals with Tier 1 conditions (0.72% positive), and high rates of follow-up genetic counseling (87.5% completion). Conclusion: Overall, Asian and Black individuals were less engaged, with few taking any study-related actions. Strategies to identify barriers and promoters for the engagement of diverse populations are needed to support participation. Once enrolled, individuals had high rates of completing the study and follow-up engagement with genetic counselors. Findings from the pilot phase of In Our DNA SC offer opportunities for improvement as we expand the program and can provide guidance to organizations seeking to begin efforts to integrate population-wide genomic screening.
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Miller DT, Lee K, Abul-Husn NS, Amendola LM, Brothers K, Chung WK, Gollob MH, Gordon AS, Harrison SM, Hershberger RE, Klein TE, Richards CS, Stewart DR, Martin CL. ACMG SF v3.1 list for reporting of secondary findings in clinical exome and genome sequencing: A policy statement of the American College of Medical Genetics and Genomics (ACMG). Genet Med 2022; 24:1407-1414. [DOI: 10.1016/j.gim.2022.04.006] [Citation(s) in RCA: 167] [Impact Index Per Article: 55.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 04/01/2022] [Indexed: 11/25/2022] Open
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19
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Phuong J, Riches NO, Madlock‐Brown C, Duran D, Calzoni L, Espinoza JC, Datta G, Kavuluru R, Weiskopf NG, Ward‐Caviness CK, Lin AY. Social Determinants of Health Factors for Gene-Environment COVID-19 Research: Challenges and Opportunities. ADVANCED GENETICS (HOBOKEN, N.J.) 2022; 3:2100056. [PMID: 35574521 PMCID: PMC9087427 DOI: 10.1002/ggn2.202100056] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Indexed: 01/25/2023]
Abstract
The characteristics of a person's health status are often guided by how they live, grow, learn, their genetics, as well as their access to health care. Yet, all too often, studies examining the relationship between social determinants of health (behavioral, sociocultural, and physical environmental factors), the role of demographics, and health outcomes poorly represent these relationships, leading to misinterpretations, limited study reproducibility, and datasets with limited representativeness and secondary research use capacity. This is a profound hurdle in what questions can or cannot be rigorously studied about COVID-19. In practice, gene-environment interactions studies have paved the way for including these factors into research. Similarly, our understanding of social determinants of health continues to expand with diverse data collection modalities as health systems, patients, and community health engagement aim to fill the knowledge gaps toward promoting health and wellness. Here, a conceptual framework is proposed, adapted from the population health framework, socioecological model, and causal modeling in gene-environment interaction studies to integrate the core constructs from each domain with practical considerations needed for multidisciplinary science.
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Affiliation(s)
- Jimmy Phuong
- Division of Biomedical and Health InformaticsUniversity of WashingtonSeattleWA98195USA
- Harborview Injury Prevention Research CenterUniversity of WashingtonSeattleWA98104USA
| | - Naomi O. Riches
- Department of Biomedical InformaticsUniversity of Utah School of MedicineSalt Lake CityUT84108‐3514USA
| | - Charisse Madlock‐Brown
- Health Informatics and Information ManagementUniversity of Tennessee Health Science CenterMemphisTN38163USA
| | - Deborah Duran
- National Institute on Minority Health and Health Disparities (NIMHD)National Institutes of HealthBethesdaMD20892‐5465USA
| | - Luca Calzoni
- National Institute on Minority Health and Health Disparities (NIMHD)National Institutes of HealthBethesdaMD20892‐5465USA
- Department of Biomedical InformaticsUniversity of PittsburghPittsburghPA15206USA
| | - Juan C. Espinoza
- Department of PediatricsChildren's Hospital Los AngelesLos AngelesCA90015USA
| | - Gora Datta
- Department of Civil and Environmental EngineeringUniversity of California at BerkeleyBerkeleyCA94720USA
| | - Ramakanth Kavuluru
- Division of Biomedical InformaticsDepartment of Internal MedicineUniversity of KentuckyLexingtonKY40506USA
| | - Nicole G. Weiskopf
- Department of Medical Informatics & Clinical EpidemiologyOregon Health & Science UniversityPortlandOR97239USA
| | - Cavin K. Ward‐Caviness
- Center for Public Health and Environmental AssessmentUS Environmental Protection AgencyChapel HillNC27514USA
| | - Asiyah Yu Lin
- National Human Genome Research Institute (NHGRI)National Institutes of HealthBethesdaMD20892‐2152USA
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20
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Brown JEH, Zamora AN, Outram S, Sparks TN, Lianoglou BR, Norstad M, Sahin Hodoglugil NN, Norton ME, Ackerman SL. “Let’s Just Wait Until She’s Born”: Temporal Factors That Shape Decision-Making for Prenatal Genomic Sequencing Amongst Families Underrepresented in Genomic Research. Front Genet 2022; 13:882703. [PMID: 35669190 PMCID: PMC9164104 DOI: 10.3389/fgene.2022.882703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 04/25/2022] [Indexed: 11/21/2022] Open
Abstract
Genomic sequencing has been increasingly utilized for prenatal diagnosis in recent years and this trend is likely to continue. However, decision-making for parents in the prenatal period is particularly fraught, and prenatal sequencing would significantly expand the complexity of managing health risk information, reproductive options, and healthcare access. This qualitative study investigates decision-making processes amongst parents who enrolled or declined to enroll in the prenatal arm of the California-based Program in Prenatal and Pediatric Genome Sequencing (P3EGS), a study in the Clinical Sequencing Evidence-Generating Research (CSER) consortium that offered whole exome sequencing for fetal anomalies with a focus on underrepresented groups in genomic research. Drawing on the views of 18 prenatal families who agreed to be interviewed after enrolling (n = 15) or declining to enroll (n = 3) in P3EGS, we observed that the timing of sequencing, coupled with unique considerations around experiences of time during pregnancy and prenatal testing, intersect with structural supports beyond the clinic to produce preferences for and against prenatal sequencing and to contain the threat of unwelcome, uncertain knowledge. Particularly for those without structural supports, finding out consequential information may be more palatable after the birth, when the first stage of the uncertain future has been revealed. Future research should examine the role of temporality in decision-making around prenatal genomic sequencing across diverse population cohorts, in order to observe more precisely the role that structural barriers play in patient preferences.
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Affiliation(s)
- Julia E. H. Brown
- Program in Bioethics, University of California, San Francisco (UCSF), San Francisco, CA, United States
- Institute for Health and Aging, UCSF, San Francisco, CA, United States
- *Correspondence: Julia E. H. Brown,
| | - Astrid N. Zamora
- Program in Bioethics, University of California, San Francisco (UCSF), San Francisco, CA, United States
| | - Simon Outram
- Program in Bioethics, University of California, San Francisco (UCSF), San Francisco, CA, United States
- Institute for Health and Aging, UCSF, San Francisco, CA, United States
- Department of Social and Behavioral Sciences, UCSF, San Francisco, CA, United States
| | - Teresa N. Sparks
- Department of Obstetrics, Gynecology, and Reproductive Sciences, UCSF, San Francisco, CA, United States
- Institute for Human Genetics, UCSF, San Francisco, CA, United States
- Center for Maternal Fetal Precision Medicine, UCSF, San Francisco, CA, United States
| | - Billie R. Lianoglou
- Center for Maternal Fetal Precision Medicine, UCSF, San Francisco, CA, United States
- Department of Surgery, UCSF, San Francisco, CA, United States
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, UCSF, San Francisco, CA, United States
| | - Matthew Norstad
- Program in Bioethics, University of California, San Francisco (UCSF), San Francisco, CA, United States
- Institute for Health and Aging, UCSF, San Francisco, CA, United States
| | | | - Mary E. Norton
- Department of Obstetrics, Gynecology, and Reproductive Sciences, UCSF, San Francisco, CA, United States
- Institute for Human Genetics, UCSF, San Francisco, CA, United States
- Center for Maternal Fetal Precision Medicine, UCSF, San Francisco, CA, United States
| | - Sara L. Ackerman
- Program in Bioethics, University of California, San Francisco (UCSF), San Francisco, CA, United States
- Department of Social and Behavioral Sciences, UCSF, San Francisco, CA, United States
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21
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Allen CG, Judge DP, Levin E, Sterba K, Hunt K, Ramos PS, Melvin C, Wager K, Catchpole K, Clinton C, Ford M, McMahon LL, Lenert L. A pragmatic implementation research study for In Our DNA SC: a protocol to identify multi-level factors that support the implementation of a population-wide genomic screening initiative in diverse populations. Implement Sci Commun 2022; 3:48. [PMID: 35484601 PMCID: PMC9052691 DOI: 10.1186/s43058-022-00286-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 03/20/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND In 2021, the Medical University of South Carolina (MUSC) partnered with Helix, a population genetic testing company, to offer population-wide genomic screening for Centers for Disease Control and Preventions' Tier 1 conditions of hereditary breast and ovarian cancer, Lynch syndrome, and familial hypercholesterolemia to 100,000 individuals in South Carolina. We developed an implementation science protocol to study the multi-level factors that influence the successful implementation of the In Our DNA SC initiative. METHODS We will use a convergent parallel mixed-methods study design to evaluate the implementation of planned strategies and associated outcomes for In Our DNA SC. Aims focus on monitoring participation to ensure engagement of diverse populations, assessing contextual factors that influence implementation in community and clinical settings, describing the implementation team's facilitators and barriers, and tracking program adaptations. We report details about each data collection tool and analyses planned, including surveys, interview guides, and tracking logs to capture and code work group meetings, adaptations, and technical assistance needs. DISCUSSION The goal of In Our DNA SC is to provide population-level screening for actionable genetic conditions and to foster ongoing translational research. The use of implementation science can help better understand how to support the success of In Our DNA SC, identify barriers and facilitators to program implementation, and can ensure the sustainability of population-level genetic testing. The model-based components of our implementation science protocol can support the identification of best practices to streamline the expansion of similar population genomics programs at other institutions.
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Affiliation(s)
- Caitlin G Allen
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
| | - Daniel P Judge
- Division of Cardiology, Medical University of South Carolina, Charleston, SC, USA
| | | | - Katherine Sterba
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Kelly Hunt
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Paula S Ramos
- Department of Medicine, Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Cathy Melvin
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Karen Wager
- Department of Healthcare Leadership and Management, College of Health Professions, Medical University of South Carolina, Charleston, SC, USA
| | - Kenneth Catchpole
- Anesthesia & Perioperative Medicine, Medical University of South Carolina, Charleston, SC, USA
| | | | - Marvella Ford
- Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA
| | - Lori L McMahon
- Office of Vice President for Research, Department of Neuroscience, Medical University of South Carolina, Charleston, SC, USA
| | - Leslie Lenert
- Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA
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22
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Kaplan JM, Fullerton SM. Polygenic risk, population structure and ongoing difficulties with race in human genetics. Philos Trans R Soc Lond B Biol Sci 2022; 377:20200427. [PMID: 35430888 PMCID: PMC9014185 DOI: 10.1098/rstb.2020.0427] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
‘The Apportionment of Human Diversity’ stands as a noteworthy intervention, both for the field of human population genetics as well as in the annals of public communication of science. Despite the widespread uptake of Lewontin's conclusion that racial classification is of ‘virtually no genetic or taxonomic significance’, the biomedical research community continues to grapple with whether and how best to account for race in its work. Nowhere is this struggle more apparent than in the latest attempts to translate genetic associations with complex disease risk to clinical use in the form of polygenic risk scores, or PRS. In this perspective piece, we trace current challenges surrounding the appropriate development and clinical application of PRS in diverse patient cohorts to ongoing difficulties deciding which facets of population structure matter, and for what reasons, to human health. Despite numerous analytical innovations, there are reasons that emerge from Lewontin's work to remain sceptical that accounting for population structure in the context of polygenic risk estimation will allow us to more effectively identify and intervene on the significant health disparities which plague marginalized populations around the world. This article is part of the theme issue ‘Celebrating 50 years since Lewontin's apportionment of human diversity’.
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Affiliation(s)
| | - Stephanie M. Fullerton
- Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, WA 98195, USA
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23
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Mittendorf KF, Ukaegbu C, Gilmore MJ, Lindberg NM, Kauffman TL, Eubanks DJ, Shuster E, Allen J, McMullen C, Feigelson HS, Anderson KP, Leo MC, Hunter JE, Sasaki SO, Zepp JM, Syngal S, Wilfond BS, Goddard KAB. Adaptation and early implementation of the PREdiction model for gene mutations (PREMM 5™) for lynch syndrome risk assessment in a diverse population. Fam Cancer 2022; 21:167-180. [PMID: 33754278 PMCID: PMC8458476 DOI: 10.1007/s10689-021-00243-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 03/04/2021] [Indexed: 01/20/2023]
Abstract
Lynch syndrome (LS) is the most common inherited cause of colorectal and endometrial cancers. Identifying individuals at risk for LS without personal cancer history requires detailed collection and assessment of family health history. However, barriers exist to family health history collection, especially in historically underserved populations. To improve LS risk assessment in historically underserved populations, we adapted the provider-facing PREdiction Model for gene Mutations (PREMM5™ model), a validated LS risk assessment model, into a patient-facing electronic application through an iterative development process involving expert and patient stakeholders. We report on preliminary findings based on the first 500 individuals exposed to the adapted application in a primary care population enriched for low-literacy and low-resource patients. Major adaptations to the PREMM5™ provider module included reduction in reading level, addition of interactive literacy aids, incorporation of family history assessment for both maternal and paternal sides of the family, and inclusion of questions about individual relatives or small groups of relatives to reduce cognitive burden. In the first 500 individuals, 90% completed the PREMM5™ independently; of those, 94% did so in 5 min or less (ranged from 0.2 to 48.8 min). The patient-facing application was able to accurately classify 84% of patients as having clinically significant or not clinically significant LS risk. Our preliminary results suggest that in this diverse study population, most participants were able to rapidly, accurately, and independently complete an interactive application collecting family health history assessment that accurately assessed for Lynch syndrome risk.
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Affiliation(s)
- Kathleen F Mittendorf
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.
| | - Chinedu Ukaegbu
- Dana Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Marian J Gilmore
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Nangel M Lindberg
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Tia L Kauffman
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Donna J Eubanks
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Elizabeth Shuster
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Jake Allen
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Carmit McMullen
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | | | | | - Michael C Leo
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Jessica Ezzell Hunter
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | | | - Jamilyn M Zepp
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | - Sapna Syngal
- Dana Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute and Hospital, Seattle, WA, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Katrina A B Goddard
- Department of Translational and Applied Genomics, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
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24
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Rebbeck TR, Bridges JFP, Mack JW, Gray SW, Trent JM, George S, Crossnohere NL, Paskett ED, Painter CA, Wagle N, Kano M, Nez Henderson P, Henderson JA, Mishra SI, Willman CL, Sussman AL. A Framework for Promoting Diversity, Equity, and Inclusion in Genetics and Genomics Research. JAMA HEALTH FORUM 2022; 3:e220603. [PMID: 35755401 PMCID: PMC9223088 DOI: 10.1001/jamahealthforum.2022.0603] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/13/2023] Open
Abstract
IMPORTANCE Research into the genetic and genomic ("genomics") foundations of disease is central to our understanding of disease prevention, early detection, diagnostic accuracy, and therapeutic intervention. Inequitable participation in genomics research by historically excluded populations limits the ability to translate genomic knowledge to achieve health equity and ensure that findings are generalizable to diverse populations. OBSERVATIONS We propose a novel framework for promoting diversity, equity, and inclusion in genomics research. Building on principles of community-based participatory research and collective impact frameworks, the framework can guide our understanding of the social, cultural, health system, policy, community, and individual contexts in which engagement and genomics research are being done. Our framework highlights the involvement of a multistakeholder team, including the participants and communities to be engaged, to ensure robust methods for recruitment, retention, return of genomic results, quality of engagement, follow-up, and monitoring of participants. CONCLUSIONS AND RELEVANCE The proposed engagement framework will guide investigators in optimizing equitable representation in research and enhancing the rigor of genomics investigation.
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Affiliation(s)
- Timothy R Rebbeck
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - John F P Bridges
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Jennifer W Mack
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Stacy W Gray
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Jeffrey M Trent
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Suzanne George
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Norah L Crossnohere
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Electra D Paskett
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Corrie A Painter
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Nikhil Wagle
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Miria Kano
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Patricia Nez Henderson
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Jeffrey A Henderson
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Shiraz I Mishra
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Cheryl L Willman
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
| | - Andrew L Sussman
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (Rebbeck); Dana-Farber Cancer Institute, Boston, Massachusetts (Rebbeck, Mack, George, Wagle); The Ohio State University, Columbus, Ohio (Bridges, Crossnohere, Paskett); City of Hope, Duarte, California (Gray); The Translational Genomics Research Institute, Phoenix, Arizona (Trent); Broad Institute to Broad Institute of MIT and Harvard and Count Me In, Cambridge, Massachusetts (Painter, Wagle); University of New Mexico Comprehensive Cancer Center and Health Sciences Center, Albuquerque (Kano, Mishra, Willman, Sussman); Black Hills Center for American Indian Health, Rapid City, South Dakota (Nez Henderson, Henderson); Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota (Willman)
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25
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Crown A, Ramiah K, Siegel B, Joseph KA. The Role of Safety-Net Hospitals in Reducing Disparities in Breast Cancer Care. Ann Surg Oncol 2022; 29:10.1245/s10434-022-11576-3. [PMID: 35357616 DOI: 10.1245/s10434-022-11576-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 02/27/2022] [Indexed: 12/22/2022]
Abstract
Advances in breast cancer screening and systemic therapies have been credited with profound improvements in breast cancer outcomes; indeed, 5-year relative survival rate approaches 91% in the USA (U.S. National Institutes of Health NCI. SEER Training Modules, Breast). While breast cancer mortality has been declining, oncologic outcomes have not improved equally among all races and ethnicities. Many factors have been implicated in breast cancer disparities; chief among them is limited access to care which contributes to lower rates of timely screening mammography and, once diagnosed with breast cancer, lower rates of receipt of guideline concordant care (Wu, Lund, Kimmick GG et al. in J Clin Oncol 30(2):142-150, 2012). Hospitals with a safety-net mission, such as the essential hospitals, historically have been dedicated to providing high-quality care to all populations and have eagerly embraced the role of caring for the most vulnerable and working to eliminate health disparities. In this article, we review landmark articles that have evaluated the role safety-net hospitals have played in providing equitable breast cancer care including to those patients who face significant social and economic challenges.
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Affiliation(s)
- Angelena Crown
- Breast Surgery, True Family Women's Cancer Center, Swedish Cancer Institute, Seattle, WA, USA
| | | | - Bruce Siegel
- America's Essential Hospitals, Washington, DC, USA
| | - Kathie-Ann Joseph
- Department of Surgery, New York University School of Medicine, NYC Health and Hospitals, Bellevue, New York, NY, USA.
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26
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Greve V, Odom K, Pudner S, Lamb NE, Cooper SJ, East K. Characteristics and experiences of patients from a community-based and consumer-directed hereditary cancer population screening initiative. HGG ADVANCES 2022; 3:100055. [PMID: 35047846 PMCID: PMC8756538 DOI: 10.1016/j.xhgg.2021.100055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 08/17/2021] [Indexed: 10/29/2022] Open
Abstract
A clinical hereditary cancer population screening initiative, called Information is Power, began in North Alabama in 2015. After 4 years of the initiative, we were interested in exploring (1) the characteristics and motivations for patients who self-refer to population genetic testing, (2) how patients make decisions on testing, (3) what patients do with results, and (4) patient perceptions of benefits and limitations after undergoing population genetic testing. Patients who consented to research recontact at time of test ordering were sent an electronic survey with the option for a follow-up phone interview. Among the 2,918 eligible patients, 239 responded to the survey and 19 completed an interview. Survey and interview participants were highly educated information seekers motivated by learning more about their health. Those who were previously interested in hereditary cancer testing reported barriers were cost and insurance coverage, access to testing, and uncertainty how results could impact their health. Many participants (77%) communicated with family and friends about their decision to test and communicated about test results. Fewer participants (23%) discussed the decision to test with their healthcare providers; however, 58% of participants discussed their test results with a healthcare provider. Most people (96%) with negative results accurately recalled their results. In contrast, three out of 11 positive results for heterozygous MUTYH, PALB2, and BRCA2 reported receiving negative results. This study contributes to knowledge on population genetic testing and may guide other population genetic testing programs as they develop enrollment materials and educational materials and consider downstream needs of population genetic testing participants.
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Affiliation(s)
- Veronica Greve
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Katherine Odom
- University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | | | - Neil E. Lamb
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Sara J. Cooper
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Kelly East
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
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27
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Barroso I. The importance of increasing population diversity in genetic studies of type 2 diabetes and related glycaemic traits. Diabetologia 2021; 64:2653-2664. [PMID: 34595549 PMCID: PMC8563561 DOI: 10.1007/s00125-021-05575-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 07/07/2021] [Indexed: 12/11/2022]
Abstract
Type 2 diabetes has a global prevalence, with epidemiological data suggesting that some populations have a higher risk of developing this disease. However, to date, most genetic studies of type 2 diabetes and related glycaemic traits have been performed in individuals of European ancestry. The same is true for most other complex diseases, largely due to use of 'convenience samples'. Rapid genotyping of large population cohorts and case-control studies from existing collections was performed when the genome-wide association study (GWAS) 'revolution' began, back in 2005. Although global representation has increased in the intervening 15 years, further expansion and inclusion of diverse populations in genetic and genomic studies is still needed. In this review, I discuss the progress made in incorporating multi-ancestry participants in genetic analyses of type 2 diabetes and related glycaemic traits, and associated opportunities and challenges. I also discuss how increased representation of global diversity in genetic and genomic studies is required to fulfil the promise of precision medicine for all.
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Affiliation(s)
- Inês Barroso
- Exeter Centre of Excellence for Diabetes research (EXCEED), University of Exeter Medical School, Exeter, UK.
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28
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Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps. Nat Med 2021; 27:1876-1884. [PMID: 34782789 DOI: 10.1038/s41591-021-01549-6] [Citation(s) in RCA: 239] [Impact Index Per Article: 59.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 09/22/2021] [Indexed: 01/24/2023]
Abstract
Polygenic risk scores (PRSs) aggregate the many small effects of alleles across the human genome to estimate the risk of a disease or disease-related trait for an individual. The potential benefits of PRSs include cost-effective enhancement of primary disease prevention, more refined diagnoses and improved precision when prescribing medicines. However, these must be weighed against the potential risks, such as uncertainties and biases in PRS performance, as well as potential misunderstanding and misuse of these within medical practice and in wider society. By addressing key issues including gaps in best practices, risk communication and regulatory frameworks, PRSs can be used responsibly to improve human health. Here, the International Common Disease Alliance's PRS Task Force, a multidisciplinary group comprising expertise in genetics, law, ethics, behavioral science and more, highlights recent research to provide a comprehensive summary of the state of polygenic score research, as well as the needs and challenges as PRSs move closer to widespread use in the clinic.
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29
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Dillon J, Ademuyiwa FO, Barrett M, Moss HA, Wignall E, Menendez C, Hughes KS, Plichta JK. Disparities in Genetic Testing for Heritable Solid-Tumor Malignancies. Surg Oncol Clin N Am 2021; 31:109-126. [PMID: 34776060 DOI: 10.1016/j.soc.2021.08.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Genetic testing offers providers a potentially life saving tool for identifying and intervening in high-risk individuals. However, disparities in receipt of genetic testing have been consistently demonstrated and undoubtedly have significant implications for the populations not receiving the standard of care. If correctly used, there is the potential for genetic testing to play a role in decreasing health disparities among individuals of different races and ethnicities. However, if genetic testing continues to revolutionize cancer care while being disproportionately distributed, it also has the potential to widen the existing mortality gap between various racial and ethnic populations.
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Affiliation(s)
- Jacquelyn Dillon
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Foluso O Ademuyiwa
- Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Megan Barrett
- Department of Obstetrics & Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Haley A Moss
- Department of Obstetrics & Gynecology, Duke University Medical Center, Durham, NC, USA; Duke Cancer Institute, Durham, NC, USA. https://twitter.com/haleyarden1
| | | | - Carolyn Menendez
- Department of Surgery, Duke University Medical Center, Durham, NC, USA; Clinical Cancer Genetics, Duke Cancer Institute, Durham, NC, USA. https://twitter.com/@CSMenendez
| | - Kevin S Hughes
- Surgical Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - Jennifer K Plichta
- Department of Surgery, Duke University Medical Center, Durham, NC, USA; Department of Population Health Sciences, Duke University Medical Center, Durham, NC, USA.
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30
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Lu YS, Yeo W, Yap YS, Park YH, Tamura K, Li H, Cheng R. An Overview of the Treatment Efficacy and Side Effect Profile of Pharmacological Therapies in Asian Patients with Breast Cancer. Target Oncol 2021; 16:701-741. [PMID: 34582007 PMCID: PMC8613101 DOI: 10.1007/s11523-021-00838-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/21/2021] [Indexed: 11/05/2022]
Abstract
Breast cancer (BC) among Asians accounts for ~ 40% of the global BC burden. Differences in BC risk, presentation, tumor biology, and response to treatment exist between Asian and non-Asian patients; however, Asian patients are often under-represented in clinical trials. This narrative review summarizes the efficacy and safety of pharmacological therapies for BC in Asian populations, with a focus on outcomes in Asian versus non-Asian patients treated with chemotherapy, hormone therapy, anti-human epidermal growth factor receptor-2 targeted therapies, cyclin-dependent kinase 4/6 (CDK4/6) inhibitors, mammalian target of rapamycin inhibitors, bone-targeted therapies, poly-ADP ribose polymerase, phosphoinositide 3-kinase, and checkpoint inhibitors. While most therapies have demonstrated comparable efficacy and safety in Asian and non-Asian patients with BC, differences that are largely attributed to pharmacogenetic variations between populations exist. Pharmacogenetic differences may contribute to a reduced clinical benefit of tamoxifen, whereas improved clinical outcomes have been reported with tyrosine kinase inhibitors and CDK4/6 inhibitors in Asian versus non-Asian patients with BC. In particular, Asian patients have an increased incidence of hematological toxicities, including neutropenia, although adverse events can be effectively managed using dose adjustments. Recent trials with CDK4/6 inhibitors have increased efforts to include Asians within study subsets. Future clinical trials enrolling higher numbers of Asian patients, and an increased understanding of differences in patient and tumor genetics between Asians and non-Asians, have the potential to incrementally improve the management of BC in Asian patients.
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Affiliation(s)
- Yen-Shen Lu
- Department of Oncology, National Taiwan University Hospital, No. 7, Chung Shan South Road, Taipei, 100, Taiwan.
| | - Winnie Yeo
- Department of Clinical Oncology, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Yoon-Sim Yap
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Yeon Hee Park
- Sungkyunkwan University, SKKU-Samsung Medical Centre, Seoul, South Korea
| | - Kenji Tamura
- Department of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Huiping Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital and Institute, Beijing, China
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Veenstra DL, Rowe JW, Pagán JA, Brown HS, Schneider JE, Gupta A, Berger SM, Chung WK, Appelbaum PS. Reimbursement for genetic variant reinterpretation: five questions payers should ask. THE AMERICAN JOURNAL OF MANAGED CARE 2021; 27:e336-e338. [PMID: 34668674 PMCID: PMC10430762 DOI: 10.37765/ajmc.2021.88763] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Reaching the goals set by the Health Care Payment and Learning Action Network requires an unyielding and unrelenting focus on encouraging providers to adopt advanced alternative payment models (APMs). Many of these models will continue to be voluntary because they either are in early stages or have not yet proven their effectiveness. The models that have proven their effectiveness should become permanent, comprising the new way that providers are paid in the Medicare program. Either way, getting today's high performers into those programs and keeping them engaged to continue to innovate and set new benchmarks is as important as attracting and improving the performance of poorer performers. That will require a shift in Medicare's policy on pricing and evaluating APMs.
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Affiliation(s)
- David L Veenstra
- Comparative Health Outcomes, Policy & Economics (CHOICE) Institute, School of Pharmacy, University of Washington, Box 357630, H375 Health Science Bldg, Seattle, WA 98195-7630.
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Gutierrez AM, Robinson JO, Outram SM, Smith HS, Kraft SA, Donohue KE, Biesecker BB, Brothers KB, Chen F, Hailu B, Hindorff LA, Hoban H, Hsu RL, Knight SJ, Koenig BA, Lewis KL, Lich KH, O’Daniel JM, Okuyama S, Tomlinson GE, Waltz M, Wilfond BS, Ackerman SL, Majumder MA. Examining access to care in clinical genomic research and medicine: Experiences from the CSER Consortium. J Clin Transl Sci 2021; 5:e193. [PMID: 34888063 PMCID: PMC8634302 DOI: 10.1017/cts.2021.855] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 08/30/2021] [Accepted: 09/06/2021] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Ensuring equitable access to health care is a widely agreed-upon goal in medicine, yet access to care is a multidimensional concept that is difficult to measure. Although frameworks exist to evaluate access to care generally, the concept of "access to genomic medicine" is largely unexplored and a clear framework for studying and addressing major dimensions is lacking. METHODS Comprised of seven clinical genomic research projects, the Clinical Sequencing Evidence-Generating Research consortium (CSER) presented opportunities to examine access to genomic medicine across diverse contexts. CSER emphasized engaging historically underrepresented and/or underserved populations. We used descriptive analysis of CSER participant survey data and qualitative case studies to explore anticipated and encountered access barriers and interventions to address them. RESULTS CSER's enrolled population was largely lower income and racially and ethnically diverse, with many Spanish-preferring individuals. In surveys, less than a fifth (18.7%) of participants reported experiencing barriers to care. However, CSER project case studies revealed a more nuanced picture that highlighted the blurred boundary between access to genomic research and clinical care. Drawing on insights from CSER, we build on an existing framework to characterize the concept and dimensions of access to genomic medicine along with associated measures and improvement strategies. CONCLUSIONS Our findings support adopting a broad conceptualization of access to care encompassing multiple dimensions, using mixed methods to study access issues, and investing in innovative improvement strategies. This conceptualization may inform clinical translation of other cutting-edge technologies and contribute to the promotion of equitable, effective, and efficient access to genomic medicine.
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Affiliation(s)
- Amanda M. Gutierrez
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Jill O. Robinson
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Simon M. Outram
- Program in Bioethics, University of California, San Francisco, San Francisco, CA, USA
| | - Hadley S. Smith
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Stephanie A. Kraft
- Treuman Katz Center for Pediatric Bioethics, Seattle Children’s Research Institute, Seattle, WA, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Katherine E. Donohue
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Barbara B. Biesecker
- RTI International, GenOmics, BiOinformatics and Translational Science, Washington DC, USA
| | - Kyle B. Brothers
- Department of Pediatrics, University of Louisville, Louisville, KY, USA
| | - Flavia Chen
- Program in Bioethics, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Benyam Hailu
- National Institute of Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Lucia A. Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hannah Hoban
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca L. Hsu
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Sara J. Knight
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | | | - Katie L. Lewis
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kristen Hassmiller Lich
- Department of Health Policy and Management, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Julianne M. O’Daniel
- Department of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Sonia Okuyama
- Division of Hematology-Oncology, Denver Health and Hospital Authority, Denver, CO, USA
| | - Gail E. Tomlinson
- Division of Hematology-Oncology, Department of Pediatrics, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
- Greehey Children’s Cancer Research Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Margaret Waltz
- Department of Social Medicine, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Benjamin S. Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children’s Research Institute, Seattle, WA, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Sara L. Ackerman
- Department of Social and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Mary A. Majumder
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA
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Florentine MM, Rouse SL, Stephans J, Conrad D, Czechowicz J, Matthews IR, Meyer AK, Nadaraja GS, Parikh R, Virbalas J, Weinstein JE, Chan DK. Racial and ethnic disparities in diagnostic efficacy of comprehensive genetic testing for sensorineural hearing loss. Hum Genet 2021; 141:495-504. [PMID: 34515852 PMCID: PMC9035005 DOI: 10.1007/s00439-021-02338-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/09/2021] [Indexed: 11/25/2022]
Abstract
Understanding racial and ethnic disparities in diagnostic rates of genetic testing is critical for health equity. We sought to understand the extent and cause of racial and ethnic disparities in diagnostic efficacy of comprehensive genetic testing (CGT) for sensorineural hearing loss (SNHL). We performed a retrospective cohort study at two tertiary children’s hospitals on a diverse cohort of 240 consecutive pediatric patients (76% publicly insured, 82% non-White) with SNHL of unknown etiology who underwent CGT. Definite and possible genetic diagnoses were assigned for each patient, representing the likelihood of a genetic cause of hearing loss. Associations between diagnostic rates were examined. 3.8 ± 2.1 variants were detected per patient; this frequency did not vary between White/Asian and Hispanic/Black cohorts. Overall, 82% of variants were variants of uncertain significance (VUS). Compared with White and Asian subjects, variants identified among Hispanic and Black children were less likely to be classified as pathogenic/likely pathogenic (15% vs. 24%, p < 0.001), and Hispanic and Black children were less likely to have a definite genetic diagnosis (10% vs. 37%, p < 0.001). The adjusted odds ratio for definite genetic diagnosis in Black and Hispanic children compared with White and Asian children was 0.19. Expanding genetic diagnostic criteria to include predicted deleterious VUSs reduced these disparities between White/Asian and Hispanic/Black children, with comparable molecular diagnostic rates (41% vs. 38%, p = 0.72). However, in silico predictions are insufficiently valid for clinical use. Increased inclusion of underrepresented groups in genetic hearing-loss studies to clinically validate these variants is necessary to reduce racial and ethnic disparities in diagnostic efficacy of comprehensive genetic testing.
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Affiliation(s)
- Michelle M Florentine
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA.,Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Stephanie L Rouse
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA
| | - Jihyun Stephans
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA.,Division of Pediatric Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA
| | - David Conrad
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA.,Division of Pediatric Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA
| | - Josephine Czechowicz
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA.,Division of Pediatric Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA
| | - Ian R Matthews
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA
| | - Anna K Meyer
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA.,Division of Pediatric Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA
| | - Garani S Nadaraja
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA.,Division of Pediatric Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA
| | - Rajan Parikh
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA
| | - Jordan Virbalas
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA.,Division of Pediatric Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA
| | - Jacqueline E Weinstein
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA.,Division of Pediatric Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA
| | - Dylan K Chan
- Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA. .,Division of Pediatric Otolaryngology-Head and Neck Surgery, University of California-San Francisco, 2233 Post Street, Third Floor, San Francisco, CA, 94115, USA.
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Sharma Y, Cox L, Kruger L, Channamsetty V, Haga SB. Evaluating Primary Care Providers' Readiness for Delivering Genetic and Genomic Services to Underserved Populations. Public Health Genomics 2021; 25:1-10. [PMID: 34515218 DOI: 10.1159/000518415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/09/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Increased genomics knowledge and access are advancing precision medicine and care delivery. With the translation of precision medicine across health care, genetics and genomics will play a greater role in primary care services. Health disparities and inadequate representation of racial and ethnically diverse groups threaten equitable access for those historically underserved. Health provider awareness, knowledge, and perceived importance are important determinants of the utilization of genomic applications. METHODS We evaluated the readiness of primary care providers at a Federally Qualified Health Center, the Community Health Center, Inc. (CHCI) for delivering genetic and genomic testing to underserved populations. Online survey questions focused on providers' education and training in basic and clinical genetics, familiarity with current genetic tests, and needs for incorporating genetics and genomics into their current practice. RESULTS Fifty of 77 (65%) primary care providers responded to the survey. Less than half received any training in basic or clinical genetics (40%), were familiar with specific genetic tests (36%), or felt confident with collecting family health history (44%), and 70% believed patients would benefit from genetic testing. CONCLUSION Despite knowledge gaps, respondents recognized the value and need to bring these services to their patients, though would like more education on applying genetics and genomics into their practice, and more training about discussing risk factors associated with race or ethnicity. We provide further evidence of the need for educational resources and standardized guidelines for providers caring for underserved populations to optimize appropriate use and referral of genetic and genomic services and to reduce disparities in care.
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Affiliation(s)
- Yashoda Sharma
- Weitzman Institute, Community Health Center, Inc., Middletown, Connecticut, USA
| | - Livia Cox
- Wesleyan University, Middletown, Connecticut, USA
| | - Lucie Kruger
- Wesleyan University, Middletown, Connecticut, USA
| | - Veena Channamsetty
- Weitzman Institute, Community Health Center, Inc., Middletown, Connecticut, USA
| | - Susanne B Haga
- Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, North Carolina, USA
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Zhytnik L, Peters M, Tilk K, Simm K, Tõnisson N, Reimand T, Maasalu K, Acharya G, Krjutškov K, Salumets A. From late fatherhood to prenatal screening of monogenic disorders: evidence and ethical concerns. Hum Reprod Update 2021; 27:1056-1085. [PMID: 34329448 DOI: 10.1093/humupd/dmab023] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/27/2021] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND With the help of ART, an advanced parental age is not considered to be a serious obstacle for reproduction anymore. However, significant health risks for future offspring hide behind the success of reproductive medicine for the treatment of reduced fertility associated with late parenthood. Although an advanced maternal age is a well-known risk factor for poor reproductive outcomes, understanding the impact of an advanced paternal age on offspring is yet to be elucidated. De novo monogenic disorders (MDs) are highly associated with late fatherhood. MDs are one of the major sources of paediatric morbidity and mortality, causing significant socioeconomic and psychological burdens to society. Although individually rare, the combined prevalence of these disorders is as high as that of chromosomal aneuploidies, indicating the increasing need for prenatal screening. With the help of advanced reproductive technologies, families with late paternity have the option of non-invasive prenatal testing (NIPT) for multiple MDs (MD-NIPT), which has a sensitivity and specificity of almost 100%. OBJECTIVE AND RATIONALE The main aims of the current review were to examine the effect of late paternity on the origin and nature of MDs, to highlight the role of NIPT for the detection of a variety of paternal age-associated MDs, to describe clinical experiences and to reflect on the ethical concerns surrounding the topic of late paternity and MD-NIPT. SEARCH METHODS An extensive search of peer-reviewed publications (1980-2021) in English from the PubMed and Google Scholar databases was based on key words in different combinations: late paternity, paternal age, spermatogenesis, selfish spermatogonial selection, paternal age effect, de novo mutations (DNMs), MDs, NIPT, ethics of late fatherhood, prenatal testing and paternal rights. OUTCOMES An advanced paternal age provokes the accumulation of DNMs, which arise in continuously dividing germline cells. A subset of DNMs, owing to their effect on the rat sarcoma virus protein-mitogen-activated protein kinase signalling pathway, becomes beneficial for spermatogonia, causing selfish spermatogonial selection and outgrowth, and in some rare cases may lead to spermatocytic seminoma later in life. In the offspring, these selfish DNMs cause paternal age effect (PAE) disorders with a severe and even life-threatening phenotype. The increasing tendency for late paternity and the subsequent high risk of PAE disorders indicate an increased need for a safe and reliable detection procedure, such as MD-NIPT. The MD-NIPT approach has the capacity to provide safe screening for pregnancies at risk of PAE disorders and MDs, which constitute up to 20% of all pregnancies. The primary risks include pregnancies with a paternal age over 40 years, a previous history of an affected pregnancy/child, and/or congenital anomalies detected by routine ultrasonography. The implementation of NIPT-based screening would support the early diagnosis and management needed in cases of affected pregnancy. However, the benefits of MD-NIPT need to be balanced with the ethical challenges associated with the introduction of such an approach into routine clinical practice, namely concerns regarding reproductive autonomy, informed consent, potential disability discrimination, paternal rights and PAE-associated issues, equity and justice in accessing services, and counselling. WIDER IMPLICATIONS Considering the increasing parental age and risks of MDs, combined NIPT for chromosomal aneuploidies and microdeletion syndromes as well as tests for MDs might become a part of routine pregnancy management in the near future. Moreover, the ethical challenges associated with the introduction of MD-NIPT into routine clinical practice need to be carefully evaluated. Furthermore, more focus and attention should be directed towards the ethics of late paternity, paternal rights and paternal genetic guilt associated with pregnancies affected with PAE MDs.
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Affiliation(s)
- Lidiia Zhytnik
- Competence Centre on Health Technologies, Tartu, Estonia
| | - Maire Peters
- Competence Centre on Health Technologies, Tartu, Estonia.,Department of Obstetrics and Gynaecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Kadi Tilk
- Competence Centre on Health Technologies, Tartu, Estonia
| | - Kadri Simm
- Institute of Philosophy and Semiotics, Faculty of Arts and Humanities, University of Tartu, Tartu, Estonia.,Centre of Ethics, University of Tartu, Tartu, Estonia
| | - Neeme Tõnisson
- Institute of Genomics, University of Tartu, Tartu, Estonia.,Department of Clinical Genetics, United Laboratories, Tartu University Hospital, Tartu, Estonia.,Department of Reproductive Medicine, West Tallinn Central Hospital, Tallinn, Estonia
| | - Tiia Reimand
- Department of Clinical Genetics, United Laboratories, Tartu University Hospital, Tartu, Estonia.,Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Katre Maasalu
- Clinic of Traumatology and Orthopaedics, Tartu University Hospital, Tartu, Estonia.,Department of Traumatology and Orthopaedics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Ganesh Acharya
- Division of Obstetrics and Gynaecology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
| | - Kaarel Krjutškov
- Competence Centre on Health Technologies, Tartu, Estonia.,Department of Obstetrics and Gynaecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Andres Salumets
- Competence Centre on Health Technologies, Tartu, Estonia.,Department of Obstetrics and Gynaecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.,Institute of Genomics, University of Tartu, Tartu, Estonia.,Division of Obstetrics and Gynaecology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
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Nagar SD, Nápoles AM, Jordan IK, Mariño-Ramírez L. Socioeconomic deprivation and genetic ancestry interact to modify type 2 diabetes ethnic disparities in the United Kingdom. EClinicalMedicine 2021; 37:100960. [PMID: 34386746 PMCID: PMC8343245 DOI: 10.1016/j.eclinm.2021.100960] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 05/19/2021] [Accepted: 05/25/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) is a complex common disease that disproportionately impacts minority ethnic groups in the United Kingdom (UK). Socioeconomic deprivation (SED) is widely considered as a potential explanation for T2D ethnic disparities in the UK, whereas the effect of genetic ancestry (GA) on such disparities has yet to be studied. METHODS We leveraged data from the UK Biobank prospective cohort study, with participants enrolled between 2006 and 2010, to model the relationship between SED (Townsend index), GA (clustering principal components of whole genome genotype data), and T2D status (ICD-10 codes) across the three largest ethnic groups in the UK - Asian, Black, and White - using multivariable logistic regression. FINDINGS The Asian group shows the highest T2D prevalence (17·9%), followed by the Black (11·7%) and White (5·5%) ethnic groups. We find that both SED (OR: 1·11, 95% CI: 1·10-1·11) and non-European GA (OR South Asian versus European: 4·37, 95% CI: 4·10-4·66; OR African versus European: 2·52, 95% CI: 2·23-2·85) are significantly associated with the observed T2D disparities. GA and SED show significant interaction effects on T2D, with SED being a relatively greater risk factor for T2D for individuals with South Asian and African ancestry, compared to those with European ancestry. INTERPRETATION The significant interactions between SED and GA underscore how the effects of environmental risk factors can differ among ancestry groups, suggesting the need for group-specific interventions. FUNDING This work was supported by the National Institutes of Health (NIH) Distinguished Scholars Program (DSP) to LMR and the Division of Intramural Research (DIR) of the National Institute on Minority Health and Health Disparities (NIMHD) at NIH.
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Affiliation(s)
| | - Anna María Nápoles
- National Institute on Minority Health and Health Disparities, 3 Center Drive, Building 3, Floor 5, Bethesda, MD 20814, USA
| | - I. King Jordan
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
- PanAmerican Bioinformatics Institute, Cali, Colombia
- IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, USA
| | - Leonardo Mariño-Ramírez
- National Institute on Minority Health and Health Disparities, 3 Center Drive, Building 3, Floor 5, Bethesda, MD 20814, USA
- PanAmerican Bioinformatics Institute, Cali, Colombia
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Ciuro J, Beyer A, Fritzler J, Jackson N, Ahsan S. Health Care Disparities and Demand for Expanding Hereditary Breast Cancer Screening Guidelines in African Americans. Clin Breast Cancer 2021; 21:e220-e227. [DOI: 10.1016/j.clbc.2020.08.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/06/2020] [Accepted: 08/29/2020] [Indexed: 12/24/2022]
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Batai K, Hooker S, Kittles RA. Leveraging genetic ancestry to study health disparities. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2021; 175:363-375. [PMID: 32935870 PMCID: PMC8246846 DOI: 10.1002/ajpa.24144] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 07/22/2020] [Accepted: 08/20/2020] [Indexed: 12/14/2022]
Abstract
Research to understand human genomic variation and its implications in health has great potential to contribute in the reduction of health disparities. Biological anthropology can play important roles in genomics and health disparities research using a biocultural approach. This paper argues that racial/ethnic categories should not be used as a surrogate for sociocultural factors or global genomic clusters in biomedical research or clinical settings, because of the high genetic heterogeneity that exists within traditional racial/ethnic groups. Genetic ancestry is used to show variation in ancestral genomic contributions to recently admixed populations in the United States, such as African Americans and Hispanic/Latino Americans. Genetic ancestry estimates are also used to examine the relationship between ancestry-related biological and sociocultural factors affecting health disparities. To localize areas of genomes that contribute to health disparities, admixture mapping and genome-wide association studies (GWAS) are often used. Recent GWAS have identified many genetic variants that are highly differentiated among human populations that are associated with disease risk. Some of these are population-specific variants. Many of these variants may impact disease risk and help explain a portion of the difference in disease burden among racial/ethnic groups. Genetic ancestry is also of particular interest in precision medicine and disparities in drug efficacy and outcomes. By using genetic ancestry, we can learn about potential biological differences that may contribute to the heterogeneity observed across self-reported racial groups.
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Affiliation(s)
- Ken Batai
- Department of UrologyUniversity of ArizonaTucsonArizonaUSA
| | - Stanley Hooker
- Division of Health Equities, Department of Population SciencesCity of Hope Comprehensive Cancer CenterDuarteCaliforniaUSA
| | - Rick A. Kittles
- Division of Health Equities, Department of Population SciencesCity of Hope Comprehensive Cancer CenterDuarteCaliforniaUSA
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Riddle L, Amendola LM, Gilmore MJ, Guerra C, Biesecker B, Kauffman TL, Anderson K, Rope AF, Leo MC, Caruncho M, Jarvik GP, Wilfond B, Goddard KAB, Joseph G. Development and early implementation of an Accessible, Relational, Inclusive and Actionable approach to genetic counseling: The ARIA model. PATIENT EDUCATION AND COUNSELING 2021; 104:969-978. [PMID: 33549385 PMCID: PMC8881934 DOI: 10.1016/j.pec.2020.12.017] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 12/07/2020] [Accepted: 12/21/2020] [Indexed: 06/12/2023]
Abstract
OBJECTIVE To describe the training and early implementation of the ARIA model of genetic counseling (Accessible, Relational, Inclusive, Actionable). METHODS As part of the Cancer Health Assessments Reaching Many (CHARM) study, an interdisciplinary workgroup developed the ARIA curriculum and trained genetic counselors to return exome sequencing results using the ARIA model. CURRICULUM The ARIA curriculum includes didactic elements, discussion, readings, role plays, and observations of usual care genetic counseling sessions. The ARIA model provides the skills and strategies needed for genetic counseling to be accessible to all patients, regardless of prior knowledge or literacy level; involves appropriate psychological and social counseling without overwhelming the patient with information; and leaves the patient with clear and actionable next steps. CONCLUSION With sufficient training and practice, the ARIA model appears to be feasible, with promise for ensuring that genetic counselors' communication is accessible, relational, inclusive and actionable for the diverse patients participating in genomic medicine. PRACTICE IMPLICATIONS ARIA offers a coherent set of principles and strategies for effective communication with patients of all literacy levels and outlines specific techniques to practice and incorporate these skills into routine practice. The ARIA model could be integrated into genetic counseling training programs and practice, making genetic counseling more accessible and meaningful for all patients.
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Affiliation(s)
- Leslie Riddle
- Department of Humanities and Social Sciences, University of California, San Francisco, 1450 3rd St., San Francisco, CA 94158, USA
| | - Laura M Amendola
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, 1705 NE Pacific St. Box 357720, Seattle, WA 98195, USA
| | - Marian J Gilmore
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, 3800 N. Interstate Ave., Portland, OR 97227, USA
| | - Claudia Guerra
- Department of General Internal Medicine, University of California, San Francisco, 1450 3rd St. Box 0128, San Francisco, CA 94158, USA
| | | | - Tia L Kauffman
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, 3800 N. Interstate Ave., Portland, OR 97227, USA
| | - Katherine Anderson
- Denver Health and Hospital Authority, MC 3150, 777 Bannock, Denver, CO 80204, USA
| | - Alan F Rope
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, 3800 N. Interstate Ave., Portland, OR 97227, USA
| | - Michael C Leo
- Kaiser Permanente Center for Health Research, 3800 N. Interstate Ave., Portland, OR 97227, USA
| | - Mikaella Caruncho
- Department of Humanities and Social Sciences, University of California, San Francisco, 1450 3rd St., San Francisco, CA 94158, USA
| | - Gail P Jarvik
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, 1705 NE Pacific St. Box 357720, Seattle, WA 98195, USA
| | - Benjamin Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Hospital and Research Institute, M/S JMB-6, 1900 Ninth Ave., Seattle, WA 98101, USA
| | - Katrina A B Goddard
- Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, 3800 N. Interstate Ave., Portland, OR 97227, USA
| | - Galen Joseph
- Department of Humanities and Social Sciences, University of California, San Francisco, 1450 3rd St., San Francisco, CA 94158, USA
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Abstract
The development of massively parallel sequencing-based genomic sequencing tests has increased genetic test availability and access. The field and practice of genetic counseling have adapted in response to this paradigm-shifting technology and the subsequent transition to practicing genomic medicine. While the key elements defining genetic counseling remain relevant, genetic counseling service delivery models and practice settings have evolved. Genetic counselors are addressing the challenges of direct-to-consumer and consumer-driven genetic testing, and genetic counseling training programs are responding to the ongoing increased demand for genetic counseling services across a broadening range of contexts. The need to diversify both the patient and participant groups with access to genetic information, as well as the field of genetic counseling, is at the forefront of research and training program initiatives. Genetic counselors are key stakeholders in the genomics era, and their contributions are essential to effectively and equitably deliver precision medicine.
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Affiliation(s)
- Laura M Amendola
- Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, Washington 98195, USA; ,
| | - Katie Golden-Grant
- Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, Washington 98195, USA; ,
| | - Sarah Scollon
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas 77030, USA;
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McInerney-Leo AM, Duncan EL. Massively Parallel Sequencing for Rare Genetic Disorders: Potential and Pitfalls. Front Endocrinol (Lausanne) 2021; 11:628946. [PMID: 33679611 PMCID: PMC7933540 DOI: 10.3389/fendo.2020.628946] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 12/21/2020] [Indexed: 01/04/2023] Open
Abstract
There have been two major eras in the history of gene discovery. The first was the era of linkage analysis, with approximately 1,300 disease-related genes identified by positional cloning by the turn of the millennium. The second era has been powered by two major breakthroughs: the publication of the human genome and the development of massively parallel sequencing (MPS). MPS has greatly accelerated disease gene identification, such that disease genes that would have taken years to map previously can now be determined in a matter of weeks. Additionally, the number of affected families needed to map a causative gene and the size of such families have fallen: de novo mutations, previously intractable by linkage analysis, can be identified through sequencing of the parent-child trio, and genes for recessive disease can be identified through MPS even of a single affected individual. MPS technologies include whole exome sequencing (WES), whole genome sequencing (WGS), and panel sequencing, each with their strengths. While WES has been responsible for most gene discoveries through MPS, WGS is superior in detecting copy number variants, chromosomal rearrangements, and repeat-rich regions. Panels are commonly used for diagnostic purposes as they are extremely cost-effective and generate manageable quantities of data, with no risk of unexpected findings. However, in instances of diagnostic uncertainty, it can be challenging to choose the right panel, and in these circumstances WES has a higher diagnostic yield. MPS has ethical, social, and legal implications, many of which are common to genetic testing generally but amplified due to the magnitude of data (e.g., relationship misattribution, identification of variants of uncertain significance, and genetic discrimination); others are unique to WES and WGS technologies (e.g., incidental or secondary findings). Nonetheless, MPS is rapidly translating into clinical practice as an extremely useful part of the clinical armamentarium.
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Affiliation(s)
- Aideen M. McInerney-Leo
- Dermatology Research Centre, University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Emma L. Duncan
- Department of Twin Research & Genetic Epidemiology, Faculty of Life Sciences and Medicine, School of Life Course Sciences, King’s College London, London, United Kingdom
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Design of a study to implement population-based risk assessment for hereditary cancer genetic testing in primary care. Contemp Clin Trials 2020; 101:106257. [PMID: 33373667 DOI: 10.1016/j.cct.2020.106257] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 12/18/2020] [Accepted: 12/21/2020] [Indexed: 11/24/2022]
Abstract
Identifying patients with high genetic risk for cancer has important clinical ramifications, but hereditary cancer risk is often not identified because of testing barriers at both the provider and patient level. It is unknown how to best implement appropriate genetic testing and follow-up care into an operating primary care clinic. Implementation studies to date have been conducted in high resourced facilities under optimal conditions, often not at the clinic level. This study aims to compare and evaluate two population-wide engagement strategies for identifying members of a primary care clinic's population with a family or personal history of cancer and offering high-risk individuals genetic testing for cancer susceptibility mutations. The two engagement strategies are: 1) point of care screening (POC), conducted when a patient is scheduled for an appointment and 2) direct patient engagement (DPE), where outreach provides the patient an opportunity to complete screening online on their own time. The study will identify changes, problems, and inefficiencies in clinical flow during and after the implementation of risk assessment and genomic testing for cancer risk across primary care clinics. It will also evaluate the effects of the two engagement strategies on patient, provider, and clinic leader outcomes, including perceptions of benefits, harms, and satisfaction with the engagement strategy and process of cancer risk assessment and genetic testing, across gender, racial/ethnic, socioeconomic, and genetic literacy divides. Finally, the study will evaluate the cost-effectiveness and budget impact of each engagement strategy.
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43
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Krakow M, Rising CJ, Trivedi N, Yoon DC, Vanderpool RC. Prevalence and Correlates of Family Cancer History Knowledge and Communication Among US Adults. Prev Chronic Dis 2020; 17:E146. [PMID: 33211995 PMCID: PMC7735478 DOI: 10.5888/pcd17.200257] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Introduction Knowing one’s family cancer history (FCH) plays an important role in cancer prevention. Communicating health histories with relatives can increase awareness about familial cancer risk and aid health care providers in personalizing cancer prevention recommendations. Methods This study used data from the National Cancer Institute’s 2018 Health Information National Trends Survey. We calculated frequencies and weighted population estimates for key FCH communication variables. Multivariable logistic regression models estimated associations between sociodemographic characteristics and FCH communication. Results Findings provide the first nationally representative estimates of FCH communication. Less than one-third (31.1%) of the population reported knowing FCH very well, 70.0% had discussed FCH with at least 1 biological relative, 39.0% had discussed FCH with a health care provider, and 22.2% reported being completely confident in completing FCH on medical forms. Findings also identified key demographic factors, including sex, household income, education level, and race and ethnicity, associated with these FCH measures among the US adult population. Conclusion Results can be used to target and tailor FCH communication interventions for patients, families, and providers.
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Affiliation(s)
- Melinda Krakow
- John D. Bower School of Population Health, University of Mississippi Medical Center, 2500 State Street, Jackson MS 39216.
| | - Camella J Rising
- Health Communication and Informatics Research Branch, National Cancer Institute, Bethesda, Maryland
| | - Neha Trivedi
- Health Communication and Informatics Research Branch, National Cancer Institute, Bethesda, Maryland
| | | | - Robin C Vanderpool
- Health Communication and Informatics Research Branch, National Cancer Institute, Bethesda, Maryland
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Chakravarthy R, Stallings SC, Williams M, Hollister M, Davidson M, Canedo J, Wilkins CH. Factors influencing precision medicine knowledge and attitudes. PLoS One 2020; 15:e0234833. [PMID: 33175834 PMCID: PMC7657499 DOI: 10.1371/journal.pone.0234833] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 10/25/2020] [Indexed: 11/25/2022] Open
Abstract
Precision medicine holds great promise for improving health and reducing health disparities that can be most fully realized by advancing diversity and inclusion in research participants. Without engaging underrepresented groups, precision medicine could not only fail to achieve its promise but also further exacerbate the health disparities already burdening the most vulnerable. Yet underrepresentation by people of non-European ancestry continues in precision medicine research and there are disparities across racial groups in the uptake of precision medicine applications and services. Studies have explored possible explanations for population differences in precision medicine participation, but full appreciation of the factors involved is still developing. To better inform the potential for addressing health disparities through PM, we assessed the relationship of precision medicine knowledge and trust in biomedical research with sociodemographic variables. Using a series of linear regression models applied to survey data collected in a diverse sample, we analyzed variation in both precision medicine knowledge and trust in biomedical research with socioeconomic factors as a way to understand the range of precision medicine knowledge (PMK) in a broadly representative group and its relationship to trust in research and demographic characteristics. Our results demonstrate that identifying as Black, while significantly PMK, explains only 1.5% of the PMK variance in unadjusted models and 7% of overall variance in models adjusted for meaningful covariates such as age, marital status, employment, and education. We also found a positive association between PMK and trust in biomedical research. These results indicate that race is a factor affecting PMK, even after accounting for differences in sociodemographic variables. Additional work is needed, however, to identify other factors contributing to variation in PMK as we work to increase diversity and inclusion in precision medicine applications.
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Affiliation(s)
- Rohini Chakravarthy
- Vanderbilt University School of Medicine, Nashville, TN, United States of America
| | | | - Michael Williams
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, United States of America
| | - Megan Hollister
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, United States of America
| | - Mario Davidson
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, United States of America
| | - Juan Canedo
- Department of Medicine, Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Consuelo H. Wilkins
- Meharry-Vanderbilt Alliance, Nashville, TN, United States of America
- Department of Medicine, Division of Geriatrics, Vanderbilt University Medical Center, Nashville, TN, United States of America
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45
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Chavez-Yenter D, Chou WYS, Kaphingst KA. State of recent literature on communication about cancer genetic testing among Latinx populations. J Genet Couns 2020; 30:911-918. [PMID: 33142015 DOI: 10.1002/jgc4.1351] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 09/29/2020] [Accepted: 10/01/2020] [Indexed: 12/30/2022]
Abstract
Cancer-related genetic testing (hereafter CGT) has transformed cancer prevention, treatment, and care. Researchers debate whether diffusion and use of genetic testing will reduce or widen cancer health disparities through effects on improving or worsening cancer-related mortality, morbidity, and outcomes that disproportionately affect racial and ethnic minority populations. Cancer disparities by race and ethnicity have been associated with social determinants of health and healthcare access and experience. However, little research has explored how communication about CGT may contribute to these disparities. As such, the goal of this study was to characterize the literature published between 2010 and 2017 on communication about CGT among Latinx populations through a secondary analysis of papers identified in a larger scoping review. We found thirteen (2.5%) of 513 papers in the parent scoping review had over 50% Latinx representation; only nine of these (69%) had fully Latinx comprised study cohorts. The majority of the 13 identified studies (n = 9) were conducted to assess knowledge and attitudes regarding CGT. Most studies included services or materials in both Spanish and English. Few studies assessed language preference or acculturation or compared outcomes across sub-ethnicities. We identified opportunities for researchers to explore differences in outcomes by language preference and acculturation, and between sub-ethnicities in future studies. Leveraging a greater understanding of the heterogeneity within the Latinx population will allow genetics researchers and providers to improve utilization of CGT and therein health outcomes to advance health equity.
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Affiliation(s)
- Daniel Chavez-Yenter
- Department of Communication, University of Utah, Salt Lake City, UT, USA.,Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Wen-Ying Sylvia Chou
- Health Communication and Informatics Research Branch, National Cancer Institute, Rockville, MD, USA
| | - Kimberly A Kaphingst
- Department of Communication, University of Utah, Salt Lake City, UT, USA.,Huntsman Cancer Institute, Salt Lake City, UT, USA
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46
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McGuinness M, Fassi E, Wang C, Hacking C, Ellis V. Breast cancer polygenic risk scores in the clinical cancer genetic counseling setting: Current practices and impact on patient management. J Genet Couns 2020; 30:588-597. [PMID: 33124135 DOI: 10.1002/jgc4.1347] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 09/22/2020] [Accepted: 09/23/2020] [Indexed: 12/24/2022]
Abstract
Multivariate risk models are commonly used in clinical practice to estimate a woman's lifetime risk for breast cancer and assist in implementation of appropriate screening and risk reduction strategies. More recently, breast cancer polygenic risk scores (PRS) have been derived and integrated into these models to further improve risk estimation. While breast cancer PRS have been offered by two clinical diagnostic laboratories since 2017, little is known about the extent to which genetic counselors are ordering breast cancer PRS or incorporating the results into patient management. This study surveyed U.S. cancer genetic counselors from October 2019 to January 2020 to identify and understand their current practices with breast cancer PRS, to determine the impact of breast cancer PRS on patient management, and to anticipate future genetic counselor practices with breast cancer PRS. Fewer than half of respondents (43%, 51/120) had ordered breast cancer PRS and approximately one-third (35%, 16/46) reported that the PRS had changed their medical management recommendations. The majority of cancer genetic counselors had not ordered PRS, most commonly due to (a) lack of clinical guidelines (90%, 60/67), (b) insufficient evidence of clinical utility (88%, 59/67), and (c) lack of availability for patients of non-European ancestry (70%, 47/67). Of genetic counselors who had not ordered breast cancer PRS, only 10% (7/68) did not believe they would order PRS in the future. This is the first study to characterize genetic counselors' experiences with breast cancer PRS. Results from this study indicate that although breast cancer PRS have been clinically available for patients for several years, most cancer genetic counselors are not yet convinced they are ready to be incorporated into patient care.
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Affiliation(s)
- Molly McGuinness
- Boston University School of Medicine Genetic Counseling Program, Boston University, Boston, MA, USA
| | | | - Catharine Wang
- Department of Community Health Sciences, Boston University School of Public Health, Boston University, Boston, MA, USA
| | - Claire Hacking
- Boston University School of Medicine Genetic Counseling Program, Boston University, Boston, MA, USA
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47
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Oliveri S, Marton G, Vergani L, Cutica I, Gorini A, Spinella F, Pravettoni G. Genetic Testing Consumers in Italy: A Preliminary Investigation of the Socio-Demographic Profile, Health-Related Habits, and Decision Purposes. Front Public Health 2020; 8:511. [PMID: 33134235 PMCID: PMC7578342 DOI: 10.3389/fpubh.2020.00511] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 08/07/2020] [Indexed: 12/23/2022] Open
Abstract
Aim of the study: Genetic testing is becoming increasingly common in clinical practice and health management; nonetheless, little is known about how the population approaches genetic services through private companies. Our study aims to describe socio-demographic aspects, health-related habits, and overall beliefs and knowledge about genetic risk and testing in a population of Italian citizens who decided to undergo a genetic examination through a private genetic company. Study design: A sample of 152 clients from an Italian private genetic company completed an ad-hoc survey from September 2016 to February 2018, addressing socio-demographic data, health habits, psycho-physic condition, perceived utility of genetic results, decision purposes about data sharing, and behavioral changes after results. Results: Participants (mean age 42.4) were predominantly female (82.2%) and were overall well-educated. Their main source of information were physicians (77%), and 41.1% entrusted the management of results to the same. Thirty-eight percentage underwent genetic analysis for cancer predisposition, 31.3% for fertility problems, 24% for dietary or intolerance issues in the period of enrolment. More than half of them (62.7%) reported a family history of the disease, and overall 69% had a current or past experience with a disease. Clients perceived the genetic screening as useful to adopt behaviors that may prevent disease onset (37.7%), to know their “real health status” (27.4%), and to adopt health-related behaviors (23.3%). 62.8% claimed they were motivated to change behaviors after results (healthier diet, practice exercise, medical checks), and they wanted to share results with their physician and family members. Discussion/Conclusion: The overview of consumers' profiles in Italy and other European countries can contribute to tailoring and regulating genetic services in a way that could be efficient in terms of healthy choices, behaviors, and health resource expenditures for the general public.
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Affiliation(s)
- Serena Oliveri
- Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology, Istituto Europeo di Oncologia, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Giulia Marton
- Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology, Istituto Europeo di Oncologia, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Laura Vergani
- Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology, Istituto Europeo di Oncologia, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Ilaria Cutica
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Alessandra Gorini
- Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology, Istituto Europeo di Oncologia, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | | | - Gabriella Pravettoni
- Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology, Istituto Europeo di Oncologia, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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48
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Shah-Williams E, Levy KD, Zang Y, Holmes AM, Stoughton C, Dexter P, Skaar TC. Enrollment of Diverse Populations in the INGENIOUS Pharmacogenetics Clinical Trial. Front Genet 2020; 11:571. [PMID: 32670350 PMCID: PMC7330082 DOI: 10.3389/fgene.2020.00571] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 05/11/2020] [Indexed: 12/15/2022] Open
Abstract
Recruitment of diverse populations and subjects living in Medically Underserved Areas and Populations (MUA/P's) into clinical trials is a considerable challenge. Likewise, representation of African-Americans in pharmacogenetic trials is often inadequate, but critical for identifying genetic variation within and between populations. To identify enrollment patterns and variables that predict enrollment in a diverse underserved population, we analyzed data from the INGENIOUS (Indiana GENomics Implementation and Opportunity for the UnderServed), pharmacogenomics implementation clinical trial conducted at a community hospital for underserved subjects (Safety net hospital), and a statewide healthcare system (Academic hospital). We used a logistic regression model to identify patient variables that predicted successful enrollment after subjects were contacted and evaluated the reasons that clinical trial eligible subjects refused enrollment. In both healthcare systems, African-Americans were less likely to refuse the study than non-Hispanic Whites (Safety net, OR = 0.68, and p < 0.002; Academic hospital, OR = 0.64, and p < 0.001). At the Safety net hospital, other minorities were more likely to refuse the study than non-Hispanic Whites (OR = 1.58, p < 0.04). The odds of refusing the study once contacted increased with patient age (Safety net hospital, OR = 1.02, p < 0.001, Academic hospital, OR = 1.02, and p < 0.001). At the Academic hospital, females were less likely to refuse the study than males (OR = 0.81, p = 0.01) and those not living in MUA/P's were less likely to refuse the study than those living in MUA/P's (OR = 0.81, p = 0.007). The most frequent barriers to enrollment included not being interested, being too busy, transportation, and illness. A lack of trust was reported less frequently. In conclusion, African-Americans can be readily recruited to pharmacogenetic clinical trials once contact has been successfully initiated. However, health care initiatives and increased recruitment efforts of subjects living in MUA/Ps are needed. Enrollment could be further enhanced by improving research awareness and knowledge of clinical trials, reducing time needed for participation, and compensating for travel.
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Affiliation(s)
- Ebony Shah-Williams
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, United States
| | - Kenneth D. Levy
- Department of Medicine, Indiana University, Indianapolis, IN, United States
| | - Yong Zang
- Department of Biostatistics, Indiana University, Indianapolis, IN, United States
| | - Ann M. Holmes
- Department of Health Policy and Management, Fairbanks School of Public Health, Indiana University–Purdue University Indianapolis, Indianapolis, IN, United States
| | - Christa Stoughton
- Department of Urology, Indiana University Hospital, Indianapolis, IN, United States
| | - Paul Dexter
- Department of Medicine, Indiana University, Indianapolis, IN, United States
- Regenstrief Institute for Health Care, Indianapolis, IN, United States
| | - Todd C. Skaar
- Department of Medicine, Indiana University, Indianapolis, IN, United States
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49
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Lumpkins CY, Philp A, Nelson KL, Miller LM, Greiner KA. A road map for the future: An exploration of attitudes, perceptions, and beliefs among African Americans to tailor health promotion of cancer-related genetic counseling and testing. J Genet Couns 2020; 29:518-529. [PMID: 32291871 DOI: 10.1002/jgc4.1277] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 02/26/2020] [Accepted: 02/27/2020] [Indexed: 01/30/2023]
Abstract
African Americans (AA), the second largest racial/ethnic minority group in the United States (US), carry the largest mortality burden of cancer compared with other racial/ethnic groups (Cancer Facts & Figures for African Americans, 2019-2021, American Cancer Society).One solution to address this disparity is through cancer-related genetic counseling and testing (CGT). Although CGT is utilized among the general population, it remains underutilized among AA populations. Community-engaged and community-driven health promotion programs within faith-based organizations (FBOs) have been successfully implemented and delivered among AA populations (Israel et al., American Journal of Public Health, 100, 2010, 2094). FBOs are well positioned for cancer-related health promotion and equipped as conduits of health education and information distribution for cancer prevention. In the present pilot study, a community-based participatory approach (CBPR) was used to collect exploratory data on attitudes, perceptions, and beliefs toward CGT and uptake among an AA sample in the Midwest. Focus groups were conducted in two churches where respondents (N=34) answered a pre-focus group survey prior to a discussion. Respondents were largely unaware of CGT and thought of testing as primarily for ancestral discovery and not for an inheritable disease. Themes identified through qualitative analysis included emotional experiences with cancer; perception of cancer risk; different pictures of genetic testing; other things to worry about; trust in the healthcare system/faith in God and the healthcare system; and ideas and insights regarding promotion of CGT. These primary themes showed participants' perceptions of CGT were shaped by their experiences with cancer, faith, faith communities/FBOs, and cost and access to CGT. Overall, participants within these organizations had positive perceptions about the church as a conduit of genetic testing information but had mixed opinions about the rationale for completing CGT. These findings have implications for genetic counselors, medical providers, and health promotion personnel as to how AA faith populations view CGT and the utility of FBOs as promoters of CGT information.
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Affiliation(s)
- Crystal Y Lumpkins
- Department of Family Medicine and Community Health, University of Kansas Medical Center, School of Medicine, Kansas City, Kansas
| | - Alisdair Philp
- Department of Internal Medicine, University of Kansas Medical Center, School of Medicine, Kansas City, Kansas
| | - Katherine L Nelson
- Department of Internal Medicine, University of Kansas Medical Center, School of Medicine, Kansas City, Kansas
| | - Lynn M Miller
- Faith Works Connecting for a Healthy Community Advisory Board, Kansas City, Kansas
| | - Keith Allen Greiner
- Department of Family Medicine and Community Health, University of Kansas Medical Center, School of Medicine, Kansas City, Kansas
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50
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Erwin DJ, LaMaire C, Espana A, Eble TN, Dhar SU. Financial barriers in a county genetics clinic: Problems and solutions. J Genet Couns 2020; 29:678-688. [DOI: 10.1002/jgc4.1279] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 12/18/2019] [Accepted: 02/25/2020] [Indexed: 11/10/2022]
Affiliation(s)
| | - Christina LaMaire
- Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New York NY USA
| | - Alex Espana
- Department of Molecular & Human Genetics Baylor College of Medicine Houston TX USA
| | - Tanya N. Eble
- Department of Molecular & Human Genetics Baylor College of Medicine Houston TX USA
| | - Shweta U. Dhar
- Department of Molecular & Human Genetics Baylor College of Medicine Houston TX USA
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