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Riggan KA, Nguyen NV, Ennis JS, DeBruin DA, Sharp RR, Tilburt JC, Wolf SM, DeMartino ES. Behind the scenes: facilitators and barriers to developing state scarce resource allocation plans for the COVID-19 pandemic. Chest 2024:S0012-3692(24)00541-5. [PMID: 38710464 DOI: 10.1016/j.chest.2024.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 03/22/2024] [Accepted: 04/03/2024] [Indexed: 05/08/2024] Open
Abstract
BACKGROUND In response to COVID-19, many states revised, developed, or attempted to develop plans to allocate scarce critical care resources in the event crisis standards of care were triggered. No prior analysis has assessed this plan development process, including whether plans were successfully adopted. RESEARCH QUESTION How did states develop or revise scarce resource allocation plans during the COVID-19 pandemic and what were the barriers and facilitators to their development and adoption at the state level? STUDY DESIGN AND METHODS Plan authors and state leaders completed a semi-structured interview February to September 2022. Interview transcripts were qualitatively analyzed for themes related to plan development and adoption according to the principles of grounded theory. RESULTS Thirty-six participants from 34 states completed an interview, from states distributed across all U.S. regions. Among participants' states with plans that existed prior to 2020 (n=24), 17 were revised and adopted in response to COVID-19. Six states wrote a plan de novo, with the remaining states failing to develop or adopt a plan. Thirteen states continued to revise their plans in response to disability or aging bias complaints or to respond to evolving needs. Many participants expressed that urgency in the early days of the pandemic prevented an ideal development process. Facilitators of successful plan development and adoption include: coordination or support from the state department of health and existing relationships with key community partners, including aging and disability rights groups and minoritized communities. Barriers include: lack of perceived political interest in a plan and development during a public health emergency. INTERPRETATION To avoid repeating mistakes from the early days of the COVID response, states should develop or revise plans with community engagement and consider maintaining a standing committee with diverse membership and content expertise to periodically review plans and advise state officials on pandemic preparedness.
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Affiliation(s)
| | | | - Jackson S Ennis
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Debra A DeBruin
- Center for Bioethics, University of Minnesota, Minneapolis, MN
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Jon C Tilburt
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN; Division of General Internal Medicine, Mayo Clinic, Scottsdale, AZ
| | - Susan M Wolf
- University of Minnesota Medical School, Minneapolis, MN; University of Minnesota Law School, Minneapolis, MN
| | - Erin S DeMartino
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN; Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN
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Lewis ACF, Chisholm RL, Connolly JJ, Esplin ED, Glessner J, Gordon A, Green RC, Hakonarson H, Harr M, Holm IA, Jarvik GP, Karlson E, Kenny EE, Kottyan L, Lennon N, Linder JE, Luo Y, Martin LJ, Perez E, Puckelwartz MJ, Rasmussen-Torvik LJ, Sabatello M, Sharp RR, Smoller JW, Sterling R, Terek S, Wei WQ, Fullerton SM. Managing differential performance of polygenic risk scores across groups: Real-world experience of the eMERGE Network. Am J Hum Genet 2024:S0002-9297(24)00120-4. [PMID: 38688278 DOI: 10.1016/j.ajhg.2024.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 05/02/2024] Open
Abstract
The differential performance of polygenic risk scores (PRSs) by group is one of the major ethical barriers to their clinical use. It is also one of the main practical challenges for any implementation effort. The social repercussions of how people are grouped in PRS research must be considered in communications with research participants, including return of results. Here, we outline the decisions faced and choices made by a large multi-site clinical implementation study returning PRSs to diverse participants in handling this issue of differential performance. Our approach to managing the complexities associated with the differential performance of PRSs serves as a case study that can help future implementers of PRSs to plot an anticipatory course in response to this issue.
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Affiliation(s)
- Anna C F Lewis
- Edmond and Lily Safra Center for Ethics, Harvard University, Cambridge, MA, USA; Department of Genetics, Brigham and Women's Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Rex L Chisholm
- Center for Genetic Medicine, Northwestern University, Evanston, IL, USA
| | - John J Connolly
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Joe Glessner
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Adam Gordon
- Center for Genetic Medicine, Northwestern University, Evanston, IL, USA; Department of Pharmacology, Northwestern University, Evanston, IL, USA
| | - Robert C Green
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Ariadne Labs, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Division of Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Margaret Harr
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ingrid A Holm
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Gail P Jarvik
- Division of Medical Genetics, Department of Medicine and Department of Genome Science, University of Washington Medical Center, Seattle, WA, USA
| | - Elizabeth Karlson
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Mass General Brigham Personalized Medicine, Boston, MA, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine, New York City, NY, USA; Center for Clinical Translational Genomics, Icahn School of Medicine, New York City, NY, USA; Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine, New York City, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine, New York City, NY, USA
| | - Leah Kottyan
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Niall Lennon
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jodell E Linder
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuan Luo
- Department of Preventive Medicine, Northwestern University, Evanston, IL, USA
| | - Lisa J Martin
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Emma Perez
- Mass General Brigham Personalized Medicine, Boston, MA, USA
| | - Megan J Puckelwartz
- Center for Genetic Medicine, Northwestern University, Evanston, IL, USA; Department of Pharmacology, Northwestern University, Evanston, IL, USA
| | - Laura J Rasmussen-Torvik
- Center for Genetic Medicine, Northwestern University, Evanston, IL, USA; Department of Preventive Medicine, Northwestern University, Evanston, IL, USA
| | - Maya Sabatello
- Center for Precision Medicine and Genomics, Department of Medicine, Columbia University Irving Medical Center, New York City, NY, USA; Division of Ethics, Department of Medical Humanities and Ethics, Columbia University Irving Medical Center, New York City, NY, USA
| | | | - Jordan W Smoller
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Rene Sterling
- Division of Genomics and Society, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shannon Terek
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Wei-Qi Wei
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Stephanie M Fullerton
- Department of Bioethics & Humanities, University of Washington School of Medicine, Seattle, WA, USA
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Balzekas I, Richardson JP, Lorence I, Lundstrom BN, Worrell GA, Sharp RR. Qualitative Analysis of Decision to Pursue Electrical Brain Stimulation by Patients With Drug-Resistant Epilepsy and Their Caregivers. Neurol Clin Pract 2024; 14:e200245. [PMID: 38585236 PMCID: PMC10996908 DOI: 10.1212/cpj.0000000000200245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 12/01/2023] [Indexed: 04/09/2024]
Abstract
Background and Objectives To understand why patients with drug-resistant epilepsy (DRE) pursue invasive electrical brain stimulation (EBS). Methods We interviewed patients with DRE (n = 20) and their caregivers about their experiences in pursuing EBS approximately 1 year post device implant. Inductive analysis was applied to identify key motivating factors. Results The cohort included participants aged from teens to 50s with deep brain stimulation, vagus nerve stimulation, responsive neurostimulation, and chronic subthreshold cortical stimulation. Patients' motivations included (1) improved quality of life (2) intolerability of antiseizure medications, (3) desperation, and (4) patient-family dynamics. Both patients and caregivers described a desire to alleviate burdens of the other. Patient apprehensions about EBS focused on invasiveness and the presence of electrodes in the brain. Previous experiences with invasive monitoring and the ability to see hardware in person during clinical visits influenced patients' comfort in proceeding with EBS. Despite realistic expectations for modest and delayed benefits, patients held out hope for an exceptionally positive outcome. Discussion Our findings describe the motivations and decision-making process for patients with DRE who pursue invasive EBS. Patients balance feelings of desperation, personal goals, frustration with medication side effects, fears about surgery, and potential pressure from concerned caregivers. These factors together with the sense that patients have exhausted therapeutic alternatives may explain the limited decisional ambivalence observed in this cohort. These themes highlight opportunities for epilepsy care teams to support patient decision-making processes.
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Affiliation(s)
- Irena Balzekas
- Bioelectronics Neurophysiology and Engineering Laboratory (IB, BNL, GAW); Biomedical Engineering and Physiology Graduate Program (IB); Department of Neurology (IB, BNL, GAW); Mayo Clinic Medical Scientist Training Program (IB); Biomedical Ethics Research Program (JPR, IL, RRS); Department of Quantitative Health Sciences (JPR, IL, RRS); Mayo Clinic Alix School of Medicine (JPR), Mayo Clinic, Rochester, MN; and Columbia University Vagelos College of Physicians and Surgeons (IL), New York, NY
| | - Jordan P Richardson
- Bioelectronics Neurophysiology and Engineering Laboratory (IB, BNL, GAW); Biomedical Engineering and Physiology Graduate Program (IB); Department of Neurology (IB, BNL, GAW); Mayo Clinic Medical Scientist Training Program (IB); Biomedical Ethics Research Program (JPR, IL, RRS); Department of Quantitative Health Sciences (JPR, IL, RRS); Mayo Clinic Alix School of Medicine (JPR), Mayo Clinic, Rochester, MN; and Columbia University Vagelos College of Physicians and Surgeons (IL), New York, NY
| | - Isabella Lorence
- Bioelectronics Neurophysiology and Engineering Laboratory (IB, BNL, GAW); Biomedical Engineering and Physiology Graduate Program (IB); Department of Neurology (IB, BNL, GAW); Mayo Clinic Medical Scientist Training Program (IB); Biomedical Ethics Research Program (JPR, IL, RRS); Department of Quantitative Health Sciences (JPR, IL, RRS); Mayo Clinic Alix School of Medicine (JPR), Mayo Clinic, Rochester, MN; and Columbia University Vagelos College of Physicians and Surgeons (IL), New York, NY
| | - Brian Nils Lundstrom
- Bioelectronics Neurophysiology and Engineering Laboratory (IB, BNL, GAW); Biomedical Engineering and Physiology Graduate Program (IB); Department of Neurology (IB, BNL, GAW); Mayo Clinic Medical Scientist Training Program (IB); Biomedical Ethics Research Program (JPR, IL, RRS); Department of Quantitative Health Sciences (JPR, IL, RRS); Mayo Clinic Alix School of Medicine (JPR), Mayo Clinic, Rochester, MN; and Columbia University Vagelos College of Physicians and Surgeons (IL), New York, NY
| | - Gregory A Worrell
- Bioelectronics Neurophysiology and Engineering Laboratory (IB, BNL, GAW); Biomedical Engineering and Physiology Graduate Program (IB); Department of Neurology (IB, BNL, GAW); Mayo Clinic Medical Scientist Training Program (IB); Biomedical Ethics Research Program (JPR, IL, RRS); Department of Quantitative Health Sciences (JPR, IL, RRS); Mayo Clinic Alix School of Medicine (JPR), Mayo Clinic, Rochester, MN; and Columbia University Vagelos College of Physicians and Surgeons (IL), New York, NY
| | - Richard R Sharp
- Bioelectronics Neurophysiology and Engineering Laboratory (IB, BNL, GAW); Biomedical Engineering and Physiology Graduate Program (IB); Department of Neurology (IB, BNL, GAW); Mayo Clinic Medical Scientist Training Program (IB); Biomedical Ethics Research Program (JPR, IL, RRS); Department of Quantitative Health Sciences (JPR, IL, RRS); Mayo Clinic Alix School of Medicine (JPR), Mayo Clinic, Rochester, MN; and Columbia University Vagelos College of Physicians and Surgeons (IL), New York, NY
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4
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Stroud AM, Pacyna JE, Sharp RR. Ethical Aspects of Machine Listening in Healthcare. Am J Bioeth 2023; 23:1-3. [PMID: 37130383 DOI: 10.1080/15265161.2023.2199646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
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5
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Linder JE, Allworth A, Bland HT, Caraballo PJ, Chisholm RL, Clayton EW, Crosslin DR, Dikilitas O, DiVietro A, Esplin ED, Forman S, Freimuth RR, Gordon AS, Green R, Harden MV, Holm IA, Jarvik GP, Karlson EW, Labrecque S, Lennon NJ, Limdi NA, Mittendorf KF, Murphy SN, Orlando L, Prows CA, Rasmussen LV, Rasmussen-Torvik L, Rowley R, Sawicki KT, Schmidlen T, Terek S, Veenstra D, Velez Edwards DR, Absher D, Abul-Husn NS, Alsip J, Bangash H, Beasley M, Below JE, Berner ES, Booth J, Chung WK, Cimino JJ, Connolly J, Davis P, Devine B, Fullerton SM, Guiducci C, Habrat ML, Hain H, Hakonarson H, Harr M, Haverfield E, Hernandez V, Hoell C, Horike-Pyne M, Hripcsak G, Irvin MR, Kachulis C, Karavite D, Kenny EE, Khan A, Kiryluk K, Korf B, Kottyan L, Kullo IJ, Larkin K, Liu C, Malolepsza E, Manolio TA, May T, McNally EM, Mentch F, Miller A, Mooney SD, Murali P, Mutai B, Muthu N, Namjou B, Perez EF, Puckelwartz MJ, Rakhra-Burris T, Roden DM, Rosenthal EA, Saadatagah S, Sabatello M, Schaid DJ, Schultz B, Seabolt L, Shaibi GQ, Sharp RR, Shirts B, Smith ME, Smoller JW, Sterling R, Suckiel SA, Thayer J, Tiwari HK, Trinidad SB, Walunas T, Wei WQ, Wells QS, Weng C, Wiesner GL, Wiley K, Peterson JF. Returning integrated genomic risk and clinical recommendations: The eMERGE study. Genet Med 2023; 25:100006. [PMID: 36621880 PMCID: PMC10085845 DOI: 10.1016/j.gim.2023.100006] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/16/2022] [Accepted: 12/21/2022] [Indexed: 01/09/2023] Open
Abstract
PURPOSE Assessing the risk of common, complex diseases requires consideration of clinical risk factors as well as monogenic and polygenic risks, which in turn may be reflected in family history. Returning risks to individuals and providers may influence preventive care or use of prophylactic therapies for those individuals at high genetic risk. METHODS To enable integrated genetic risk assessment, the eMERGE (electronic MEdical Records and GEnomics) network is enrolling 25,000 diverse individuals in a prospective cohort study across 10 sites. The network developed methods to return cross-ancestry polygenic risk scores, monogenic risks, family history, and clinical risk assessments via a genome-informed risk assessment (GIRA) report and will assess uptake of care recommendations after return of results. RESULTS GIRAs include summary care recommendations for 11 conditions, education pages, and clinical laboratory reports. The return of high-risk GIRA to individuals and providers includes guidelines for care and lifestyle recommendations. Assembling the GIRA required infrastructure and workflows for ingesting and presenting content from multiple sources. Recruitment began in February 2022. CONCLUSION Return of a novel report for communicating monogenic, polygenic, and family history-based risk factors will inform the benefits of integrated genetic risk assessment for routine health care.
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Affiliation(s)
- Jodell E Linder
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | - Aimee Allworth
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - Harris T Bland
- Department of Biomedical Informatics and Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Pedro J Caraballo
- Department of Internal Medicine and Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Rex L Chisholm
- Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Ellen Wright Clayton
- Center for Biomedical Ethics and Society, Vanderbilt University Medical Center, Nashville, TN
| | - David R Crosslin
- Division of Biomedical Informatics and Genomics, John W. Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA
| | - Ozan Dikilitas
- Mayo Clinician Investigator Training Program, Department of Internal Medicine and Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Alanna DiVietro
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | | | - Sophie Forman
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | - Robert R Freimuth
- Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN
| | - Adam S Gordon
- Department of Pharmacology, Feinberg School of Medicine, and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Richard Green
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA
| | | | - Ingrid A Holm
- Division of Genetics and Genomics and Manton Center for Orphan Diseases Research, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA
| | - Gail P Jarvik
- Division of Medical Genetics, Department of Medicine and Department of Genome Science, University of Washington Medical Center, Seattle, WA
| | - Elizabeth W Karlson
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Sofia Labrecque
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | | | - Nita A Limdi
- Department of Neurology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Kathleen F Mittendorf
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Shawn N Murphy
- Department of Neurology, Massachusetts General Hospital, Boston, MA
| | - Lori Orlando
- Center for Applied Genomics and Precision Medicine, Duke University, Durham, NC
| | - Cynthia A Prows
- Divisions of Human Genetics and Patient Services, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Luke V Rasmussen
- Department of Preventive Medicine, Northwestern University, Chicago, IL
| | | | - Robb Rowley
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Konrad Teodor Sawicki
- Department of Cardiology and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | | | - Shannon Terek
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - David Veenstra
- School of Pharmacy, University of Washington, Seattle, WA
| | - Digna R Velez Edwards
- Division of Quantitative Science, Department of Obstetrics and Gynecology, Department of Biomedical Sciences, Vanderbilt University Medical Center, Nashville, TN
| | | | - Noura S Abul-Husn
- Institute for Genomic Health, Department of Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Hana Bangash
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Mark Beasley
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Jennifer E Below
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
| | - Eta S Berner
- Department of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL
| | - James Booth
- Department of Emergency Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University Irving Medical Center, Columbia University, New York, NY
| | - James J Cimino
- Division of General Internal Medicine and the Informatics Institute, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - John Connolly
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Patrick Davis
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA
| | - Beth Devine
- School of Pharmacy, University of Washington, Seattle, WA
| | - Stephanie M Fullerton
- Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, WA
| | | | - Melissa L Habrat
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA
| | - Heather Hain
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Margaret Harr
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | | | | | - Christin Hoell
- Department of Obstetrics & Gynecology and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Martha Horike-Pyne
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University Irving Medical Center, Columbia University, New York, NY
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | | | - Dean Karavite
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Eimear E Kenny
- Institute for Genomic Health, Department of Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Atlas Khan
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Bruce Korf
- Department of Genetics, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Leah Kottyan
- The Center for Autoimmune Genomics and Etiology, Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Katie Larkin
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Cong Liu
- Department of Biomedical Informatics, Columbia University Irving Medical Center, Columbia University, New York, NY
| | | | - Teri A Manolio
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Thomas May
- Elson S. Floyd College of Medicine, Washington State University, Vancouver, WA
| | | | - Frank Mentch
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Alexandra Miller
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Sean D Mooney
- Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA
| | - Priyanka Murali
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - Brenda Mutai
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - Naveen Muthu
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Bahram Namjou
- The Center for Autoimmune Genomics and Etiology, Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Emma F Perez
- Department of Medicine, Brigham and Women's Hospital, Mass General Brigham Personalized Medicine, Boston, MA
| | - Megan J Puckelwartz
- Department of Pharmacology, Feinberg School of Medicine, and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | | | - Dan M Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Elisabeth A Rosenthal
- Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, WA
| | | | - Maya Sabatello
- Division of Nephrology, Department of Medicine & Division of Ethics, Department of Medical Humanities and Ethics, Columbia University Irving Medical Center, New York, NY
| | - Dan J Schaid
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Baergen Schultz
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Lynn Seabolt
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | - Gabriel Q Shaibi
- Center for Health Promotion and Disease Prevention, Arizona State University, Phoenix, AZ
| | - Richard R Sharp
- Biomedical Ethics Program, Department of Quantitative Health Science, Mayo Clinic, Rochester, MN
| | - Brian Shirts
- Department of Laboratory Medicine & Pathology, University of Washington Medical Center, Seattle, WA
| | - Maureen E Smith
- Department of Cardiology and Center for Genetic Medicine, Northwestern University, Chicago, IL
| | - Jordan W Smoller
- Department of Psychiatry and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
| | - Rene Sterling
- Division of Genomics and Society, National Human Genome Research Institute, Bethesda, MD
| | - Sabrina A Suckiel
- The Institute for Genomic Health, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jeritt Thayer
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Hemant K Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL
| | - Susan B Trinidad
- Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, WA
| | - Theresa Walunas
- Department of Medicine and Center for Health Information Partnerships, Northwestern University, Chicago, IL
| | - Wei-Qi Wei
- Department of Biomedical Informatics and Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Quinn S Wells
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University Irving Medical Center, Columbia University, New York, NY
| | - Georgia L Wiesner
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
| | - Ken Wiley
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Josh F Peterson
- Center for Precision Medicine, Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
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Dikilitas O, Sherafati A, Saadatagah S, Satterfield BA, Kochan DC, Anderson KC, Chung WK, Hebbring SJ, Salvati ZM, Sharp RR, Sturm AC, Gibbs RA, Rowley R, Venner E, Linder JE, Jones LK, Perez EF, Peterson JF, Jarvik GP, Rehm HL, Zouk H, Roden DM, Williams MS, Manolio TA, Kullo IJ. Familial Hypercholesterolemia in the Electronic Medical Records and Genomics Network: Prevalence, Penetrance, Cardiovascular Risk, and Outcomes After Return of Results. Circ Genom Precis Med 2023; 16:e003816. [PMID: 37071725 PMCID: PMC10113961 DOI: 10.1161/circgen.122.003816] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 01/03/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND The implications of secondary findings detected in large-scale sequencing projects remain uncertain. We assessed prevalence and penetrance of pathogenic familial hypercholesterolemia (FH) variants, their association with coronary heart disease (CHD), and 1-year outcomes following return of results in phase III of the electronic medical records and genomics network. METHODS Adult participants (n=18 544) at 7 sites were enrolled in a prospective cohort study to assess the clinical impact of returning results from targeted sequencing of 68 actionable genes, including LDLR, APOB, and PCSK9. FH variant prevalence and penetrance (defined as low-density lipoprotein cholesterol >155 mg/dL) were estimated after excluding participants enrolled on the basis of hypercholesterolemia. Multivariable logistic regression was used to estimate the odds of CHD compared to age- and sex-matched controls without FH-associated variants. Process (eg, referral to a specialist or ordering new tests), intermediate (eg, new diagnosis of FH), and clinical (eg, treatment modification) outcomes within 1 year after return of results were ascertained by electronic health record review. RESULTS The prevalence of FH-associated pathogenic variants was 1 in 188 (69 of 13,019 unselected participants). Penetrance was 87.5%. The presence of an FH variant was associated with CHD (odds ratio, 3.02 [2.00-4.53]) and premature CHD (odds ratio, 3.68 [2.34-5.78]). At least 1 outcome occurred in 92% of participants; 44% received a new diagnosis of FH and 26% had treatment modified following return of results. CONCLUSIONS In a multisite cohort of electronic health record-linked biobanks, monogenic FH was prevalent, penetrant, and associated with presence of CHD. Nearly half of participants with an FH-associated variant received a new diagnosis of FH and a quarter had treatment modified after return of results. These results highlight the potential utility of sequencing electronic health record-linked biobanks to detect FH.
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Affiliation(s)
- Ozan Dikilitas
- Department of Internal Medicine (O.D.), Mayo Clinic, Rochester, MN
- Department of Cardiovascular Medicine (O.D., A.S., S.S., B.A.S., D.C.K., I.J.K.), Mayo Clinic, Rochester, MN
| | - Alborz Sherafati
- Department of Cardiovascular Medicine (O.D., A.S., S.S., B.A.S., D.C.K., I.J.K.), Mayo Clinic, Rochester, MN
| | - Seyedmohammad Saadatagah
- Department of Cardiovascular Medicine (O.D., A.S., S.S., B.A.S., D.C.K., I.J.K.), Mayo Clinic, Rochester, MN
| | - Benjamin A Satterfield
- Department of Cardiovascular Medicine (O.D., A.S., S.S., B.A.S., D.C.K., I.J.K.), Mayo Clinic, Rochester, MN
| | - David C Kochan
- Department of Cardiovascular Medicine (O.D., A.S., S.S., B.A.S., D.C.K., I.J.K.), Mayo Clinic, Rochester, MN
| | - Katherine C Anderson
- Department of Medicine (K.C.A., J.E.L., J.F.P.), Vanderbilt University Medical Center, Nashville, TN
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University Irving Medical Center, New York (W.K.C.)
| | | | - Zachary M Salvati
- Genomic Medicine Institute, Geisinger, Danville, PA (Z.M.S., A.C.S., L.K.J., M.S.W.)
| | - Richard R Sharp
- Biomedical Ethics Research Program (R.R.S.), Mayo Clinic, Rochester, MN
| | - Amy C Sturm
- Genomic Medicine Institute, Geisinger, Danville, PA (Z.M.S., A.C.S., L.K.J., M.S.W.)
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (R.A.G., E.V.)
| | - Robb Rowley
- National Human Genome Research Institute, Bethesda, MD (R.R., T.A.M.)
| | - Eric Venner
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (R.A.G., E.V.)
| | - Jodell E Linder
- Department of Medicine (K.C.A., J.E.L., J.F.P.), Vanderbilt University Medical Center, Nashville, TN
| | - Laney K Jones
- Genomic Medicine Institute, Geisinger, Danville, PA (Z.M.S., A.C.S., L.K.J., M.S.W.)
| | - Emma F Perez
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA (E.F.P.)
| | - Josh F Peterson
- Department of Medicine (K.C.A., J.E.L., J.F.P.), Vanderbilt University Medical Center, Nashville, TN
| | - Gail P Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington Medical Center, Seattle (G.P.J.)
| | - Heidi L Rehm
- Laboratory for Molecular Medicine, Partners Healthcare Personalized Medicine, Cambridge (H.L.R., H.Z.)
| | - Hana Zouk
- Laboratory for Molecular Medicine, Partners Healthcare Personalized Medicine, Cambridge (H.L.R., H.Z.)
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston (H.Z.)
| | - Dan M Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics (D.M.R.), Vanderbilt University Medical Center, Nashville, TN
| | - Marc S Williams
- Genomic Medicine Institute, Geisinger, Danville, PA (Z.M.S., A.C.S., L.K.J., M.S.W.)
| | - Teri A Manolio
- National Human Genome Research Institute, Bethesda, MD (R.R., T.A.M.)
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine (O.D., A.S., S.S., B.A.S., D.C.K., I.J.K.), Mayo Clinic, Rochester, MN
- Gonda Vascular Ctr (I.J.K.), Mayo Clinic, Rochester, MN
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7
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Lo C, Mane M, Kim JH, Berk M, Sharp RR, Lee KH, Yuen J. Treating addiction with deep brain stimulation: Ethical and legal considerations. Int J Drug Policy 2023; 113:103964. [PMID: 36774790 PMCID: PMC10023340 DOI: 10.1016/j.drugpo.2023.103964] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 01/27/2023] [Accepted: 01/28/2023] [Indexed: 02/12/2023]
Abstract
BACKGROUND The use of neuromodulation in the treatment of psychiatric conditions is controversial despite its lengthy history. This particularly applies to the use of invasive neuromodulation, such as deep brain stimulation (DBS), to treat substance use disorder (SUD) due to the considerable risks of the procedures. However, given the advances in DBS research and the shortcomings of current treatment modalities for addiction, off-label use and clinical trials are being implemented for the management of treatment-refractory patients. METHODS Here we conduct an ethical and legal analysis of DBS for SUD, referencing the four foundational principles of medical ethics and key legal concepts. RESULTS There are major concerns related to the capacity of a SUD patient to provide informed consent, as well as the risks and benefits of DBS compared to traditional treatment methods. In addition to ethical concerns, we explore potential legal issues that may arise from DBS in the treatment of addiction. These include the potential mandate of these procedures in the context of the criminalization of substance use, and the issue of familial consent in the decision-making process. Given the paucity of relevant clinical guidelines or legal cases, general medico-legal principles serve as the reference in making decisions about the responsible use of DBS as a treatment for addiction. CONCLUSIONS Given the rapidly increasing evidence for DBS as a treatment for SUD, it is an urgent imperative to consider the relevant key ethical and legal issues. Incorporating IDEAL (Idea, Development, Exploration, Assessment, Long-term follow-up) framework into future research in DBS is recommended to evaluate patient safety and ethical perspectives. With the broad criminalization of SUD across the globe, legal coercion of DBS is not impossible, especially if proven to be effective to treat SUD. It is advised for stakeholders to urgently consider incorporating DBS-related drug policies so that the potential benefits of DBS within the rights of people with SUD are not hindered by the lack of clinical guidance and legislations.
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Affiliation(s)
- Clara Lo
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN 55905, USA; Macalester College, St. Paul, MN 55105, USA
| | - Mansee Mane
- University of Minnesota, Minneapolis, MN 55455, USA
| | - Jee Hyun Kim
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong VIC 3216, Australia
| | - Michael Berk
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong VIC 3216, Australia
| | - Richard R Sharp
- Biomedical Ethics Program, Mayo Clinic, Rochester, MN 55905, USA
| | - Kendall H Lee
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN 55905, USA; Department of Biomedical Engineering, Mayo Clinic, Rochester, MN 55905, USA
| | - Jason Yuen
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN 55905, USA; Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong VIC 3216, Australia.
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8
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Pacyna JE, Ennis JS, Kullo IJ, Sharp RR. Examining the Impact of Polygenic Risk Information in Primary Care. J Prim Care Community Health 2023; 14:21501319231151766. [PMID: 36718804 PMCID: PMC9893392 DOI: 10.1177/21501319231151766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Polygenic risk testing examines variation across multiple genes to estimate a risk score for a particular disease, including risk scores for many common, chronic health conditions. Although polygenic risk information (PRI) may be a promising tool for enhancing preventive counseling and facilitating early identification of disease, its potential impact on primary-care encounters and disease prevention efforts has not been well characterized. METHODS We conducted in-depth, semi-structured interviews of patients to assess their understandings of PRI and their beliefs about its relevance to disease prevention. RESULTS We completed interviews with 19 participants. Participants described enthusiasm for the generation of PRI and recognized its utility for disease prevention. Participants also described the value of PRI as limited if not corroborated by non-genetic risk factors. Finally, participants noted that PRI, by itself, would be insufficient as a trigger for initiating many preventive interventions. CONCLUSION PRI has the potential to become an important tool in primary care. However, patient views about PRI as well as the complexities of disease prevention in the primary care context may limit the impact of PRI on disease prevention.
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Affiliation(s)
- Joel E. Pacyna
- Biomedical Ethics Program, Mayo Clinic,
Rochester, MN, USA
| | | | - Iftikhar J. Kullo
- Department of Cardiovascular Medicine,
Mayo Clinic, Rochester, MN, USA
| | - Richard R. Sharp
- Biomedical Ethics Program, Mayo Clinic,
Rochester, MN, USA
- Department of Quantitative Health
Sciences, Mayo Clinic, Rochester, MN, USA
- Center for Individualized Medicine,
Mayo Clinic, Rochester, MN, USA
- Richard R. Sharp, Biomedical Ethics
Program, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
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9
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Gossard TR, Teigen LN, Yoo S, Timm PC, Jagielski J, Bibi N, Feemster JC, Steele T, Carvalho DZ, Junna MR, Lipford MC, Tippmann Peikert M, LeClair-Visonneau L, McCarter SJ, Boeve BF, Silber MH, Hirsch J, Sharp RR, St. Louis EK. Patient values and preferences regarding prognostic counseling in isolated REM sleep behavior disorder. Sleep 2023; 46:zsac244. [PMID: 36259668 PMCID: PMC9832520 DOI: 10.1093/sleep/zsac244] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 06/19/2022] [Indexed: 11/27/2022] Open
Abstract
STUDY OBJECTIVES Isolated REM sleep behavior disorder (iRBD) carries a high lifetime risk for phenoconversion to a defined neurodegenerative disease (NDD) including Parkinson disease, dementia with Lewy bodies, and multiple system atrophy. We aimed to examine iRBD patient values and preferences regarding prognostic counseling. METHODS One hundred thirteen iRBD patient participants enrolled in the Mayo Clinic iRBD Patient Registry were sent an email survey concerning their values and preferences concerning NDD prognostic counseling and their experiences following diagnosis with iRBD. RESULTS Of 81 respondents (71.7% response rate), the majority were men (74.0%) with an average age of 65.7 (±9.7) years. Responses indicated a strong preference toward receiving prognostic information about possible future NDD development. 92.5% of respondents felt knowledge concerning personal NDD risk was important, while 87.6% indicated prognostic discussions were important to maintaining trust in their physician. 95.7% indicated a desire for more information, while only 4.3% desired less information regarding their NDD prognostic risk. Most respondents strongly agreed that prognostic information was important to discuss with their family and friends and inform future life planning, and most expressed interest in learning more about future neuroprotective therapies and symptomatic treatments for parkinsonism and dementia. CONCLUSIONS Most iRBD patients indicated strong preferences for disclosure of NDD prognostic risk and indicated that prognostic information was important for family discussions and future life planning. Future broader surveys and qualitative studies of clinic-based and ultimately community dwelling iRBD patients' values and preferences are needed to guide appropriately tailored and individualized prognostic counseling approaches following iRBD diagnosis.
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Affiliation(s)
- Thomas R Gossard
- Mayo Center for Sleep Medicine, Minnesota, USA
- Division of Pulmonary and Critical Care Medicine, Minnesota, USA
- Departments of Medicine, Minnesota, USA
| | - Luke N Teigen
- Mayo Center for Sleep Medicine, Minnesota, USA
- Division of Pulmonary and Critical Care Medicine, Minnesota, USA
- Departments of Medicine, Minnesota, USA
| | - Seeley Yoo
- Mayo Center for Sleep Medicine, Minnesota, USA
| | - Paul C Timm
- Mayo Center for Sleep Medicine, Minnesota, USA
- Division of Pulmonary and Critical Care Medicine, Minnesota, USA
- Departments of Medicine, Minnesota, USA
| | | | - Noor Bibi
- Mayo Center for Sleep Medicine, Minnesota, USA
| | - John C Feemster
- Mayo Center for Sleep Medicine, Minnesota, USA
- Division of Pulmonary and Critical Care Medicine, Minnesota, USA
- Departments of Medicine, Minnesota, USA
- Neurology, Minnesota, USA
| | - Tyler Steele
- Mayo Center for Sleep Medicine, Minnesota, USA
- Division of Pulmonary and Critical Care Medicine, Minnesota, USA
- Departments of Medicine, Minnesota, USA
- Neurology, Minnesota, USA
| | - Diego Z Carvalho
- Mayo Center for Sleep Medicine, Minnesota, USA
- Division of Pulmonary and Critical Care Medicine, Minnesota, USA
- Departments of Medicine, Minnesota, USA
| | | | - Melissa C Lipford
- Mayo Center for Sleep Medicine, Minnesota, USA
- Neurology, Minnesota, USA
| | - Maja Tippmann Peikert
- Mayo Center for Sleep Medicine, Minnesota, USA
- Division of Pulmonary and Critical Care Medicine, Minnesota, USA
- Departments of Medicine, Minnesota, USA
- Neurology, Minnesota, USA
| | | | | | | | - Michael H Silber
- Mayo Center for Sleep Medicine, Minnesota, USA
- Neurology, Minnesota, USA
| | - Jessica Hirsch
- Biomedical Ethics, Mayo Clinic and Foundation, Rochester, Minnesota, USA
| | - Richard R Sharp
- Biomedical Ethics, Mayo Clinic and Foundation, Rochester, Minnesota, USA
| | - Erik K St. Louis
- Mayo Center for Sleep Medicine, Minnesota, USA
- Division of Pulmonary and Critical Care Medicine, Minnesota, USA
- Departments of Medicine, Minnesota, USA
- Neurology, Minnesota, USA
- Mayo Clinic Health System Southwest Wisconsin, La Crosse, Wisconsin, USA
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10
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Leppig KA, Rahm AK, Appelbaum P, Aufox S, Bland ST, Buchanan A, Christensen KD, Chung WK, Clayton EW, Crosslin D, Denny J, DeVange S, Gordon A, Green RC, Hakonarson H, Harr MH, Henrikson N, Hoell C, Holm IA, Kullo IJ, Jarvik GP, Lammers PE, Larson EB, Lindor NM, Marasa M, Myers MF, Perez E, Peterson JF, Pratap S, Prows CA, Ralston JD, Rasouly HM, Roden DM, Sharp RR, Singh R, Shaibi G, Smith ME, Sturm A, Thiese HA, Van Driest SL, Williams J, Williams MS, Wynn J, Blout Zawatsky CL, Wiesner GL. The Reckoning: The Return of Genomic Results to 1444 Participants Across the eMERGE3 Network. Obstet Gynecol Surv 2022. [DOI: 10.1097/01.ogx.0000899476.28549.ef] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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11
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Stroud AM, Richardson J, Sharp RR. Assessing Digital Mental Health Apps: The Importance of Patient-Centric Measures of Utility. AJOB Neurosci 2022; 13:209-211. [PMID: 35797116 DOI: 10.1080/21507740.2022.2082591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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12
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Juhn YJ, Ryu E, Wi CI, King KS, Malik M, Romero-Brufau S, Weng C, Sohn S, Sharp RR, Halamka JD. Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. J Am Med Inform Assoc 2022; 29:1142-1151. [PMID: 35396996 PMCID: PMC9196683 DOI: 10.1093/jamia/ocac052] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 03/24/2022] [Accepted: 04/05/2022] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Artificial intelligence (AI) models may propagate harmful biases in performance and hence negatively affect the underserved. We aimed to assess the degree to which data quality of electronic health records (EHRs) affected by inequities related to low socioeconomic status (SES), results in differential performance of AI models across SES. MATERIALS AND METHODS This study utilized existing machine learning models for predicting asthma exacerbation in children with asthma. We compared balanced error rate (BER) against different SES levels measured by HOUsing-based SocioEconomic Status measure (HOUSES) index. As a possible mechanism for differential performance, we also compared incompleteness of EHR information relevant to asthma care by SES. RESULTS Asthmatic children with lower SES had larger BER than those with higher SES (eg, ratio = 1.35 for HOUSES Q1 vs Q2-Q4) and had a higher proportion of missing information relevant to asthma care (eg, 41% vs 24% for missing asthma severity and 12% vs 9.8% for undiagnosed asthma despite meeting asthma criteria). DISCUSSION Our study suggests that lower SES is associated with worse predictive model performance. It also highlights the potential role of incomplete EHR data in this differential performance and suggests a way to mitigate this bias. CONCLUSION The HOUSES index allows AI researchers to assess bias in predictive model performance by SES. Although our case study was based on a small sample size and a single-site study, the study results highlight a potential strategy for identifying bias by using an innovative SES measure.
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Affiliation(s)
- Young J Juhn
- Precision Population Science Lab, Mayo Clinic, Rochester, Minnesota, USA
- Artificial Intelligence Program of Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Euijung Ryu
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Chung-Il Wi
- Precision Population Science Lab, Mayo Clinic, Rochester, Minnesota, USA
- Artificial Intelligence Program of Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Katherine S King
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Momin Malik
- Center for Digital Health, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University, New York, New York, USA
| | - Sunghwan Sohn
- Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Richard R Sharp
- Biomedical Ethics Program, Mayo Clinic, Rochester, Minnesota, USA
| | - John D Halamka
- Center for Digital Health, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Platform, Rochester, Minnesota, USA
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13
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Wang L, Scherer SE, Bielinski SJ, Muzny DM, Jones LA, Black JL, Moyer AM, Giri J, Sharp RR, Matey ET, Wright JA, Oyen LJ, Nicholson WT, Wiepert M, Sullard T, Curry TB, Vitek CRR, McAllister TM, Sauver JL, Caraballo PJ, Lazaridis KN, Venner E, Qin X, Hu J, Kovar CL, Korchina V, Walker K, Doddapaneni H, Wu TJ, Raj R, Denson S, Liu W, Chandanavelli G, Zhang L, Wang Q, Kalra D, Karow MB, Harris KJ, Sicotte H, Peterson SE, Barthel AE, Moore BE, Skierka JM, Kluge ML, Kotzer KE, Kloke K, Vander Pol JM, Marker H, Sutton JA, Kekic A, Ebenhoh A, Bierle DM, Schuh MJ, Grilli C, Erickson S, Umbreit A, Ward L, Crosby S, Nelson EA, Levey S, Elliott M, Peters SG, Pereira N, Frye M, Shamoun F, Goetz MP, Kullo IJ, Wermers R, Anderson JA, Formea CM, El Melik RM, Zeuli JD, Herges JR, Krieger CA, Hoel RW, Taraba JL, Thomas SR, Absah I, Bernard ME, Fink SR, Gossard A, Grubbs PL, Jacobson TM, Takahashi P, Zehe SC, Buckles S, Bumgardner M, Gallagher C, Fee-Schroeder K, Nicholas NR, Powers ML, Ragab AK, Richardson DM, Stai A, Wilson J, Pacyna JE, Olson JE, Sutton EJ, Beck AT, Horrow C, Kalari KR, Larson NB, Liu H, Wang L, Lopes GS, Borah BJ, Freimuth RR, Zhu Y, Jacobson DJ, Hathcock MA, Armasu SM, McGree ME, Jiang R, Koep TH, Ross JL, Hilden M, Bosse K, Ramey B, Searcy I, Boerwinkle E, Gibbs RA, Weinshilboum RM. Implementation of preemptive DNA sequence-based pharmacogenomics testing across a large academic medical center: The Mayo-Baylor RIGHT 10K Study. Genet Med 2022; 24:1062-1072. [PMID: 35331649 PMCID: PMC9272414 DOI: 10.1016/j.gim.2022.01.022] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/25/2022] [Accepted: 01/26/2022] [Indexed: 12/12/2022] Open
Abstract
PURPOSE The Mayo-Baylor RIGHT 10K Study enabled preemptive, sequence-based pharmacogenomics (PGx)-driven drug prescribing practices in routine clinical care within a large cohort. We also generated the tools and resources necessary for clinical PGx implementation and identified challenges that need to be overcome. Furthermore, we measured the frequency of both common genetic variation for which clinical guidelines already exist and rare variation that could be detected by DNA sequencing, rather than genotyping. METHODS Targeted oligonucleotide-capture sequencing of 77 pharmacogenes was performed using DNA from 10,077 consented Mayo Clinic Biobank volunteers. The resulting predicted drug response-related phenotypes for 13 genes, including CYP2D6 and HLA, affecting 21 drug-gene pairs, were deposited preemptively in the Mayo electronic health record. RESULTS For the 13 pharmacogenes of interest, the genomes of 79% of participants carried clinically actionable variants in 3 or more genes, and DNA sequencing identified an average of 3.3 additional conservatively predicted deleterious variants that would not have been evident using genotyping. CONCLUSION Implementation of preemptive rather than reactive and sequence-based rather than genotype-based PGx prescribing revealed nearly universal patient applicability and required integrated institution-wide resources to fully realize individualized drug therapy and to show more efficient use of health care resources.
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Affiliation(s)
- Liewei Wang
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN,Division of Clinical Pharmacology, Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN
| | - Steven E. Scherer
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Suzette J. Bielinski
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Donna M. Muzny
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Leila A. Jones
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | - John Logan Black
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Ann M. Moyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Jyothsna Giri
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | | | | | | | | | - Wayne T. Nicholson
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN
| | - Mathieu Wiepert
- Department of Information Technology, Mayo Clinic, Rochester, MN
| | - Terri Sullard
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | - Timothy B. Curry
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN,Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN
| | | | | | - Jennifer L. Sauver
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Pedro J. Caraballo
- Division of General Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Konstantinos N. Lazaridis
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN,Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Eric Venner
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Xiang Qin
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Jianhong Hu
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Christie L. Kovar
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Viktoriya Korchina
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Kimberly Walker
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | | | - Tsung-Jung Wu
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Ritika Raj
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Shawn Denson
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Wen Liu
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Gauthami Chandanavelli
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Lan Zhang
- Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX
| | - Qiaoyan Wang
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Divya Kalra
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Mary Beth Karow
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | | | - Hugues Sicotte
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Sandra E. Peterson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Amy E. Barthel
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Brenda E. Moore
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | | | - Michelle L. Kluge
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Katrina E. Kotzer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Karen Kloke
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | | | - Heather Marker
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | - Joseph A. Sutton
- Department of Information Technology, Mayo Clinic, Rochester, MN
| | | | | | - Dennis M. Bierle
- Division of General Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | | | | | - Audrey Umbreit
- Department of Pharmacy, Mayo Clinic Health System, Mankato, MN
| | - Leah Ward
- Department of Pharmacy, Mayo Clinic, Jacksonville, FL
| | - Sheena Crosby
- Department of Pharmacy, Mayo Clinic, Jacksonville, FL
| | | | - Sharon Levey
- Department of Clinical Genomics, Mayo Clinic, Scottsdale, AZ
| | - Michelle Elliott
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Steve G. Peters
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Naveen Pereira
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Mark Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN
| | - Fadi Shamoun
- Department of Cardiovascular Medicine Mayo Clinic, Phoenix, AZ
| | - Matthew P. Goetz
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN
| | | | - Robert Wermers
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | | | | | | | | | | | | | | | - Scott R. Thomas
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | - Imad Absah
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | - Stephanie R. Fink
- Division of Community Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Andrea Gossard
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | | | - Paul Takahashi
- Division of Community Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | - Susan Buckles
- Department of Public Affairs, Mayo Clinic, Rochester, MN
| | | | | | | | | | - Melody L. Powers
- Biospecimens Accessioning and Processing Laboratory, Mayo Clinic, Rochester, MN
| | - Ahmed K. Ragab
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | | | - Anthony Stai
- Department of Information Technology, Mayo Clinic, Rochester, MN
| | - Jaymi Wilson
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | - Joel E. Pacyna
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Janet E. Olson
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN,Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Erica J. Sutton
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Annika T. Beck
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Caroline Horrow
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Krishna R. Kalari
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Nicholas B. Larson
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Hongfang Liu
- Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Liwei Wang
- Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Guilherme S. Lopes
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN,Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Bijan J. Borah
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN,Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Robert R. Freimuth
- Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Ye Zhu
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Debra J. Jacobson
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Matthew A. Hathcock
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Sebastian M. Armasu
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Michaela E. McGree
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Ruoxiang Jiang
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | | | | | | | | | | | | | - Eric Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX,Human Genome Sequencing Center Clinical Laboratory, Baylor College of Medicine, Houston, TX,School of Public Health, University of Texas Health Science Center at Houston, Houston, TX
| | - Richard A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX,Corresponding Authors (), ()
| | - Richard M. Weinshilboum
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN,Division of Clinical Pharmacology, Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN,Corresponding Authors (), ()
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14
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Spector-Bagdady K, Lynch HF, Bierer BE, Gelinas L, Hull SC, Magnus D, Meyer MN, Sharp RR, Sugarman J, Wilfond BS, Yearby R, Mohapatra S. Allocation of Opportunities to Participate in Clinical Trials during the Covid-19 Pandemic and Other Public Health Emergencies. Hastings Cent Rep 2022; 52:51-58. [PMID: 34908169 PMCID: PMC9414770 DOI: 10.1002/hast.1297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Covid-19 raised many novel ethical issues including regarding the allocation of opportunities to participate in clinical trials during a public health emergency. In this article, we explore how hospitals that have a scarcity of trial opportunities, either overall or in a specific trial, can equitably allocate those opportunities in the context of an urgent medical need with limited therapeutic interventions. We assess the three main approaches to allocating trial opportunities discussed in the literature: patient choice, physician referral, and randomization/lottery. As, we argue, none of the three typical approaches are ethically ideal for allocating trial opportunities in the pandemic context, many hospitals have instead implemented hybrid solutions. We offer practical guidance to support those continuing to face these challenges, and we analyze options for the future.
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Affiliation(s)
- Kayte Spector-Bagdady
- Associate Director of the Center for Bioethics & Social Sciences in Medicine and Assistant Professor of Obstetrics and Gynecology at the University of Michigan Medical School
| | - Holly Fernandez Lynch
- John Russell Dickson, MD Presidential Assistant Professor of Medical Ethics and Assistant Professor of Law at the University of Pennsylvania
| | - Barbara E. Bierer
- Professor of Medicine at Harvard Medical School and the Brigham and Women’s Hospital
| | - Luke Gelinas
- IRB Chair at Advarra and a Senior Advisor for the Multi-Regional Clinical Trials Center of Brigham and Women’s Hospital and Harvard
| | - Sara Chandros Hull
- Director of the NHGRI Bioethics Core and member of the Department of Bioethics faculty at the National Institutes of Health
| | - David Magnus
- Thomas A. Raffin Professor of Medicine and Biomedical Ethics and Professor of Pediatrics at Stanford University
| | - Michelle N. Meyer
- Assistant professor and the associate director of research ethics in the Center for Translational Bioethics and Health Care Policy at Geisinger Health System
| | | | - Jeremy Sugarman
- Harvey M. Meyerhoff Professor of Bioethics and Medicine and deputy director for medicine of the Berman Institute of Bioethics at the Johns Hopkins University
| | - Benjamin S. Wilfond
- Professor in the Department of Pediatrics, University of Washington School of Medicine and investigator at the Treuman Katz Center for Pediatric Bioethics, Seattle Children’s Research Institute
| | - Ruqaiijah Yearby
- Full professor and member of the Center for Health Law Studies at Saint Louis University School of Law and co-founder and Executive Director of Saint Louis University’s Institute for Healing Justice and Equity
| | - Seema Mohapatra
- Murray Visiting Professor of Law at SMU Dedman School of Law
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15
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Richardson JP, Curtis S, Smith C, Pacyna J, Zhu X, Barry B, Sharp RR. A framework for examining patient attitudes regarding applications of artificial intelligence in healthcare. Digit Health 2022; 8:20552076221089084. [PMID: 35355806 PMCID: PMC8958674 DOI: 10.1177/20552076221089084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 03/06/2022] [Indexed: 01/21/2023] Open
Abstract
Background While use of artificial intelligence (AI) in healthcare is increasing, little is known about how patients view healthcare AI. Characterizing patient attitudes and beliefs about healthcare AI and the factors that lead to these attitudes can help ensure patient values are in close alignment with the implementation of these new technologies. Methods We conducted 15 focus groups with adult patients who had a recent primary care visit at a large academic health center. Using modified grounded theory, focus-group data was analyzed for themes related to the formation of attitudes and beliefs about healthcare AI. Results When evaluating AI in healthcare, we found that patients draw on a variety of factors to contextualize these new technologies including previous experiences of illness, interactions with health systems and established health technologies, comfort with other information technology, and other personal experiences. We found that these experiences informed normative and cultural beliefs about the values and goals of healthcare technologies that patients applied when engaging with AI. The results of this study form the basis for a theoretical framework for understanding patient orientation to applications of AI in healthcare, highlighting a number of specific social, health, and technological experiences that will likely shape patient opinions about future healthcare AI applications. Conclusions Understanding the basis of patient attitudes and beliefs about healthcare AI is a crucial first step in effective patient engagement and education. The theoretical framework we present provides a foundation for future studies examining patient opinions about applications of AI in healthcare.
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Affiliation(s)
| | - Susan Curtis
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA
| | - Cambray Smith
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA
| | - Joel Pacyna
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA
| | - Xuan Zhu
- Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA
| | - Barbara Barry
- Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA
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16
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Pacyna JE, Sharp RR. The Need for "Big Bioethics" Research. Am J Bioeth 2022; 22:3-5. [PMID: 34962190 DOI: 10.1080/15265161.2022.2009701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
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17
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Meagher KM, Stuttgen Finn K, Curtis SH, Borucki J, Beck AT, Cheema AW, Sharp RR. Lay understandings of drug-gene interactions: The right medication, the right dose, at the right time, but what are the right words? Clin Transl Sci 2021; 15:721-731. [PMID: 34755460 PMCID: PMC8932688 DOI: 10.1111/cts.13193] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/15/2021] [Accepted: 10/30/2021] [Indexed: 11/28/2022] Open
Abstract
As pharmacogenomic (PGx) testing increases in popularity, lay concepts of drug‐gene interactions set the stage for shared decision making in precision medicine. Few studies explore what recipients of PGx results think is happening in their bodies when a drug‐gene interaction is discovered. To characterize biobank participants’ understanding of PGx research results, we conducted a focus group study, which took place after PGx variants conferring increased risk of dihydropyrimidine dehydrogenase (DPD) deficiency were disclosed to biobank contributors. DPD deficiency confers an increased risk of adverse reaction to commonly used cancer chemotherapeutics. Ten focus groups were conducted, ranging from two to eight participants. Fifty‐four individuals participated in focus groups. A framework approach was used for descriptive and explanatory analysis. Descriptive themes included participants’ efforts to make sense of PGx findings as they related to: (1) health implications, (2) drugs, and (3) genetics. Explanatory analysis supplied a functional framework of how participant word choices can perform different purposes in PGx communication. Results bear three main implications for PGx research‐related disclosure. First, participants’ use of various terms suggest participants generally understanding their PGx results, including how positive PGx results differ from positive disease susceptibility genetic results. Second, PGx disclosure in biobanking can involve participant conflation of drug‐gene interactions with allergies or other types of medical reactions. Third, the functional framework suggests a need to move beyond a deficit model of genetic literacy in PGx communication. Together, findings provide an initial evidence base for supporting bidirectional expert‐recipient PGx results communication.
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Affiliation(s)
- Karen M Meagher
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Susan H Curtis
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
| | - Jack Borucki
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
| | - Annika T Beck
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
| | - Amal W Cheema
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
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18
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Wynn J, Milo Rasouly H, Vasquez-Loarte T, Saami AM, Weiss R, Ziniel SI, Appelbaum PS, Wright Clayton E, Christensen KD, Fasel D, Green RC, Hain HS, Harr M, Hoell C, Kullo IJ, Leppig KA, Myers MF, Pacyna JE, Perez EF, Prows CA, Kulchak Rahm A, Campbell-Salome G, Sharp RR, Smith ME, Wiesner GL, Williams JL, Blout Zawatsky CL, Gharavi AG, Chung WK, Holm IA. Do research participants share genomic screening results with family members? J Genet Couns 2021; 31:447-458. [PMID: 34665896 DOI: 10.1002/jgc4.1511] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 08/30/2021] [Accepted: 09/04/2021] [Indexed: 01/25/2023]
Abstract
The public health impact of genomic screening can be enhanced by cascade testing. However, cascade testing depends on communication of results to family members. While the barriers and facilitators of family communication have been researched following clinical genetic testing, the factors impacting the dissemination of genomic screening results are unknown. Using the pragmatic Electronic Medical Records and Genomics Network-3 (eMERGE-3) study, we explored the reported sharing practices of participants who underwent genomic screening across the United States. Six eMERGE-3 sites returned genomic screening results for mostly dominant medically actionable disorders and surveyed adult participants regarding communication of results with first-degree relatives. Across the sites, 279 participants completed a 1-month and/or 6-month post-results survey. By 6 months, only 34% of the 156 respondents shared their results with all first-degree relatives and 4% did not share with any. Over a third (39%) first-degree relatives were not notified of the results. Half (53%) of participants who received their results from a genetics provider shared them with all first-degree relatives compared with 11% of participants who received their results from a non-genetics provider. The most frequent reasons for sharing were a feeling of obligation (72%) and that the information could help family members make medical decisions (72%). The most common reasons indicated for not sharing were that the family members were too young (38%), or they were not in contact (25%) or not close to them (25%). These data indicate that the professional returning the results may impact sharing patterns, suggesting that there is a need to continue to educate healthcare providers regarding approaches to facilitate sharing of genetic results within families. Finally, these data suggest that interventions to increase sharing may be universally effective regardless of the origin of the genetic result.
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Affiliation(s)
- Julia Wynn
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Hila Milo Rasouly
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Tania Vasquez-Loarte
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Akilan M Saami
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA.,Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Robyn Weiss
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Sonja I Ziniel
- Department of Pediatrics, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Paul S Appelbaum
- Department of Psychiatry, Center for Research on Ethical, Legal & Social Implications of Psychiatric, Neurologic & Behavior Genetics, Columbia University Irving Medical Center, New York, NY, USA
| | - Ellen Wright Clayton
- Center for Biomedical Ethics and Society and Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kurt D Christensen
- Department of Population Medicine, Precision Medicine Translational Research (PROMoTeR) Center, Harvard Pilgrim Health Care Institute, Boston, MA, USA.,Department of Population Medicine, Harvard Medical School, Boston, MA, USA
| | - David Fasel
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
| | - Robert C Green
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Heather S Hain
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Margaret Harr
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Christin Hoell
- Center for Genetic Medicine, Northwestern University, Chicago, IL, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Kathleen A Leppig
- Genetic Services and Kaiser Permanente Washington Health Research Institute, Kaiser Permanente of Washington, Seattle, WA, USA
| | - Melanie F Myers
- Divisions of Human Genetics and Patient Services, Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Joel E Pacyna
- Biomedical Ethics Program, Mayo Clinic, Rochester, MN, USA
| | - Emma F Perez
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Cynthia A Prows
- Divisions of Human Genetics and Patient Services, Children's Hospital Medical Center, Cincinnati, OH, USA
| | | | | | | | - Maureen E Smith
- Center for Genetic Medicine, Northwestern University, Chicago, IL, USA
| | - Georgia L Wiesner
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Ali G Gharavi
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Wendy K Chung
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA.,Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Ingrid A Holm
- Division of Genetics and Genomics and the Manton Center for Orphan Diseases Research, Boston Children's Hospital, Boston, MA, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA
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19
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Siddiqui W, Sharp RR. Beyond the Belmont Report. Am J Bioeth 2021; 21:1-4. [PMID: 34554060 DOI: 10.1080/15265161.2021.1972649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
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20
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Richardson JP, Smith C, Curtis S, Watson S, Zhu X, Barry B, Sharp RR. Patient apprehensions about the use of artificial intelligence in healthcare. NPJ Digit Med 2021; 4:140. [PMID: 34548621 PMCID: PMC8455556 DOI: 10.1038/s41746-021-00509-1] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 08/23/2021] [Indexed: 01/20/2023] Open
Abstract
While there is significant enthusiasm in the medical community about the use of artificial intelligence (AI) technologies in healthcare, few research studies have sought to assess patient perspectives on these technologies. We conducted 15 focus groups examining patient views of diverse applications of AI in healthcare. Our results indicate that patients have multiple concerns, including concerns related to the safety of AI, threats to patient choice, potential increases in healthcare costs, data-source bias, and data security. We also found that patient acceptance of AI is contingent on mitigating these possible harms. Our results highlight an array of patient concerns that may limit enthusiasm for applications of AI in healthcare. Proactively addressing these concerns is critical for the flourishing of ethical innovation and ensuring the long-term success of AI applications in healthcare.
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Affiliation(s)
- Jordan P Richardson
- Biomedical Ethics Research Program, Mayo Clinic Rochester, Rocheste, MN, 55905-0002, USA
| | - Cambray Smith
- Biomedical Ethics Research Program, Mayo Clinic Rochester, Rocheste, MN, 55905-0002, USA
| | - Susan Curtis
- Biomedical Ethics Research Program, Mayo Clinic Rochester, Rocheste, MN, 55905-0002, USA
| | - Sara Watson
- Biomedical Ethics Research Program, Mayo Clinic Rochester, Rocheste, MN, 55905-0002, USA
| | - Xuan Zhu
- Kern Center for the Science of Healthcare Delivery, Mayo Clinic Rochester, Rocheste, MN, 55905-0002, USA
| | - Barbara Barry
- Kern Center for the Science of Healthcare Delivery, Mayo Clinic Rochester, Rocheste, MN, 55905-0002, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic Rochester, Rocheste, MN, 55905-0002, USA.
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21
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Stuttgen Finn K, Pacyna JE, Tsou C, Samadder NJ, Sharp RR. Factors that Influence Intent to Share Genetic Information Related to Cancer Risk with Family Members. J Health Commun 2021; 26:545-552. [PMID: 34473010 PMCID: PMC10869109 DOI: 10.1080/10810730.2021.1968078] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
We describe factors influencing patient decisions to share positive cancer genetic test results with family members. We focused on patients who were diagnosed with several different cancer types but did not have a family history that was suggestive of an inherited risk. Participants were recruited from Mayo Clinic and had been recently diagnosed with cancer. An 80+ gene panel was performed. Before receiving genetic test results, patients completed a 49-item survey on their intent to share their results with relatives. 1,721 (57.7%) of 2,984 individuals who elected to pursue genetic testing completed the survey. Most patients planned to share cancer-related genetic results with a spouse or partner (97.0%), at least one adult child (92.2%), at least one sibling (86.2%), and with at least one parent (70.3%). Familial support scores and familial communication scores were predictive of intent to share cancer-related genetic test results. Our data highlight differences in family communication capacity and support that are important for clinicians to consider when supporting patients who wish to share cancer-related genetic test results with family members. Our data point to several potential interventional strategies that might increase the likelihood of cancer-related genetic test results being shared with family members at risk.
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Affiliation(s)
- Kelsey Stuttgen Finn
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Joel E Pacyna
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
| | - Cindy Tsou
- Center for Individualized Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Niloy J Samadder
- Center for Individualized Medicine, Mayo Clinic, Phoenix, Arizona, USA
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Phoenix, Arizona, USA
- Department of Clinical Genomics, Mayo Clinic, Phoenix, Arizona, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
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22
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Horrow C, Pacyna JE, Lee MK, Sharp RR. Measuring Attitudes About Genomic Medicine: Validation of the Genomic Orientation Scale (GO Scale). Value Health 2021; 24:1030-1037. [PMID: 34243827 DOI: 10.1016/j.jval.2021.02.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 01/15/2021] [Accepted: 02/01/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVES Assessing public attitudes about genomic medicine is critical for anticipating patient receptivity to clinical applications of genomics. Although scholars have highlighted the importance of assessing stakeholder opinions and views regarding advances in clinical genomics, to date there has not been a robust tool for measuring these attitudes. We designed a study to evaluate the validity of an instrument we developed for measuring attitudes about genomic medicine. METHODS We used psychometric methods to validate the Genomic Orientation Scale (GO Scale). Our goal was to create an easy-to-use tool for evaluating positive and negative attitudes about genomic medicine. RESULTS We describe the validation testing of the GO Scale in a nationally representative sample of 1536 individuals residing in the United States. We report results from convergent and divergent validity testing and Rasch modeling analysis. The study produced a 26-item scale with 2 dimensions-optimism and pessimism. CONCLUSIONS The GO Scale may be used to characterize attitudinal perspectives among patients, clinicians, and the public. The GO Scale may also be useful in evaluating shifts in attitude over time, for example, following educational interventions, which has not been feasible to date.
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Affiliation(s)
- Caroline Horrow
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA
| | - Joel E Pacyna
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA
| | - Minji K Lee
- Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA.
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23
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Beck AT, Sutton EJ, Chow CPY, Curtis SH, Kullo IJ, Sharp RR. "Who Doesn't Like Receiving Good News?" Perspectives of Individuals Who Received Genomic Screening Results by Mail. J Pers Med 2021; 11:jpm11050322. [PMID: 33919001 PMCID: PMC8142970 DOI: 10.3390/jpm11050322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/08/2021] [Accepted: 04/16/2021] [Indexed: 12/02/2022] Open
Abstract
As genomic sequencing expands to screen larger numbers of individuals, offering genetic counseling to everyone may not be possible. One approach to managing this limitation is for a genetic counselor to communicate clinically actionable results in person or by telephone, but report other results by mail. We employed this approach in a large genomic implementation study. In this paper, we describe participants' experiences receiving genomic screening results by mail. We conducted 50 semi-structured telephone interviews with individuals who received neutral genomic screening results by mail. Most participants were satisfied receiving neutral results by mail. Participants generally had a good understanding of results; however, a few participants had misunderstandings about their genomic screening results, including mistaken beliefs about their disease risk and the comprehensiveness of the test. No one reported plans to alter health behaviors, defer medical evaluations, or take other actions that might be considered medically problematic. Reporting neutral results by mail is unlikely to cause recipients distress or generate misunderstandings that may result in reduced vigilance in following recommended preventive health strategies. Nonetheless, some individuals may benefit from additional genetic counseling support to help situate their results in the context of personal concerns and illness experiences.
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Affiliation(s)
- Annika T. Beck
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55901, USA; (A.T.B.); (E.J.S.); (C.P.Y.C.); (S.H.C.)
| | - Erica J. Sutton
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55901, USA; (A.T.B.); (E.J.S.); (C.P.Y.C.); (S.H.C.)
| | - Carolyn P. Y. Chow
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55901, USA; (A.T.B.); (E.J.S.); (C.P.Y.C.); (S.H.C.)
| | - Susan H. Curtis
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55901, USA; (A.T.B.); (E.J.S.); (C.P.Y.C.); (S.H.C.)
| | - Iftikhar J. Kullo
- Division of Cardiovascular Diseases, Mayo Clinic, Rochester, MN 55901, USA;
| | - Richard R. Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55901, USA; (A.T.B.); (E.J.S.); (C.P.Y.C.); (S.H.C.)
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55901, USA
- Correspondence:
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Meyer MN, Gelinas L, Bierer BE, Hull SC, Joffe S, Magnus D, Mohapatra S, Sharp RR, Spector-Bagdady K, Sugarman J, Wilfond BS, Lynch HF. An ethics framework for consolidating and prioritizing COVID-19 clinical trials. Clin Trials 2021; 18:226-233. [PMID: 33530721 PMCID: PMC8009845 DOI: 10.1177/1740774520988669] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Given the dearth of established safe and effective interventions to respond to COVID-19, there is an urgent ethical imperative to conduct meaningful clinical research. The good news is that interventions to be tested are not in short supply. Unfortunately, the human and material resources needed to conduct these trials are finite. It is essential that trials be robust and meet enrollment targets and that lower-quality studies not be permitted to displace higher-quality studies, delaying answers to critical questions. Yet, with few exceptions, existing research review bodies and processes are not designed to ensure these conditions are satisfied. To meet this challenge, we offer guidance for research institutions about how to ethically consolidate and prioritize COVID-19 clinical trials, while recognizing that consolidation and prioritization should also take place upstream (among manufacturers and funders) and at a higher level (e.g. nationally). In our proposed three-stage process, trials must first meet threshold criteria. Those that do are evaluated in a second stage to determine whether the institution has sufficient capacity to support all proposed trials. If it does not, the third stage entails evaluating studies against two additional sets of comparative prioritization criteria: those specific to the study and those that aim to advance diversification of an institution's research portfolio. To implement these criteria fairly, we propose that research institutions form COVID-19 research prioritization committees. We briefly discuss some important attributes of these committees, drawing on the authors' experiences at our respective institutions. Although we focus on clinical trials of COVID-19 therapeutics, our guidance should prove useful for other kinds of COVID-19 research, as well as non-pandemic research, which can raise similar challenges due to the scarcity of research resources.
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Affiliation(s)
- Michelle N Meyer
- Center for Translational Bioethics and Health Care Policy and The Steele Institute for Health Innovation, Geisinger Health System, Danville, PA, USA
| | | | - Barbara E Bierer
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sara Chandros Hull
- Department of Bioethics, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Steven Joffe
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - David Magnus
- Center for Biomedical Ethics, Stanford University, Stanford, CA, USA
| | - Seema Mohapatra
- Indiana University Robert H. McKinney School of Law, Indiana University, Indianapolis, IN, USA
| | - Richard R Sharp
- Biomedical Ethics Program, Division of Health Care Policy Research, Mayo Clinic, Rochester, MN, USA
| | - Kayte Spector-Bagdady
- Center for Bioethics and Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Jeremy Sugarman
- Berman Institute of Bioethics and Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Benjamin S Wilfond
- Treuman Katz Center for Pediatric Bioethics, Seattle Children's Hospital and Research Institute, Seattle, WA, USA
| | - Holly Fernandez Lynch
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
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Bean LJH, Scheuner MT, Murray MF, Biesecker LG, Green RC, Monaghan KG, Palomaki GE, Sharp RR, Trotter TL, Watson MS, Powell CM. DNA-based screening and personal health: a points to consider statement for individuals and health-care providers from the American College of Medical Genetics and Genomics (ACMG). Genet Med 2021; 23:979-988. [PMID: 33790423 DOI: 10.1038/s41436-020-01083-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 12/14/2020] [Accepted: 12/17/2020] [Indexed: 01/15/2023] Open
Affiliation(s)
- Lora J H Bean
- Department of Human Genetics, Emory University, Atlanta, GA, USA
| | - Maren T Scheuner
- Division of Medical Genetics, Department of Pediatrics, and Division of Hematology-Oncology, Department of Medicine, University of California San Francisco School of Medicine, San Francisco, CA, USA.,Clinical Genetics Program, San Francisco VA Health Care System, San Francisco, CA, USA
| | - Michael F Murray
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Leslie G Biesecker
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Robert C Green
- Harvard Medical School, Boston, MA, USA.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.,The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Glenn E Palomaki
- Department of Pathology and Laboratory Medicine, Alpert Medical School, Brown University, Providence, RI, USA.,Women and Infants Hospital, Providence, RI, USA
| | | | - Tracy L Trotter
- San Ramon Valley Primary Care Medical Group, San Ramon, CA, USA
| | | | - Cynthia M Powell
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Division of Genetics and Metabolism, Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Srinivasan T, Sutton EJ, Beck AT, Cuellar I, Hernandez V, Pacyna JE, Shaibi GQ, Kullo IJ, Lindor NM, Singh D, Sharp RR. Integrating Genomic Screening into Primary Care: Provider Experiences Caring for Latino Patients at a Community-Based Health Center. J Prim Care Community Health 2021; 12:21501327211000242. [PMID: 33729042 PMCID: PMC7975483 DOI: 10.1177/21501327211000242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Introduction: Minority communities have had limited access to advances in genomic medicine.
Mayo Clinic and Mountain Park Health Center, a Federally Qualified Health
Center in Phoenix, Arizona, partnered to assess the feasibility of offering
genomic screening to Latino patients receiving care at a community-based
health center. We examined primary care provider (PCP) experiences reporting
genomic screening results and integrating those results into patient
care. Methods: We conducted open-ended, semi-structured interviews with PCPs and other
members of the health care team charged with supporting patients who
received positive genomic screening results. Interviews were recorded,
transcribed, and analyzed thematically. Results: Of the 500 patients who pursued genomic screening, 10 received results
indicating a genetic variant that warranted clinical management. PCPs felt
genomic screening was valuable to patients and their families, and that
genomic research should strive to include underrepresented minorities.
Providers identified multiple challenges integrating genomic sequencing into
patient care, including difficulties maintaining patient contact over time;
arranging follow-up medical care; and managing results in an environment
with limited genetics expertise. Providers also reflected on the ethics of
offering genomic sequencing to patients who may not be able to pursue
diagnostic testing or follow-up care due to financial constraints. Conclusions: Our results highlight the potential benefits and challenges of bringing
advances in precision medicine to community-based health centers serving
under-resourced populations. By proactively considering patient support
needs, and identifying financial assistance programs and patient-referral
mechanisms to support patients who may need specialized medical care, PCPs
and other health care providers can help to ensure that precision medicine
lives up to its full potential as a tool for improving patient care.
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Cheema AW, Sutton EJ, Beck AT, Cuellar I, Moreno Garzon GG, Hernandez V, Lindor NM, Shaibi GQ, Kullo IJ, Sharp RR. Experiences of Latino Participants Receiving Neutral Genomic Screening Results: A Qualitative Study. Public Health Genomics 2021; 24:44-53. [PMID: 33592611 PMCID: PMC10291848 DOI: 10.1159/000513219] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 11/19/2020] [Indexed: 11/19/2022] Open
Abstract
PURPOSE The aim of the study was to characterize experiences of Latino participants receiving genomic screening results. METHODS Participants were recruited at a federally qualified health center in the USA. In-person, semi-structured interviews were conducted in either Spanish or English by a bilingual, bicultural interviewer. Questions focused on motivations for pursuing genomic sequencing, concerns about receiving genomic screening results, and perceived benefits of receiving genomic information. Interviews were audio-recorded, transcribed, and translated. RESULTS Fifty individuals completed an interview; 39 were conducted in Spanish. Participants described mixed motivations for pursuing genomic screening. Participants viewed the benefits of genomic screening in relation to not only their personal health but to the health of their families and their communities. Participants tended to have few concerns about genomic screening. Those concerns related to potential loss of privacy, misuses of genomic information, and the possibility of receiving distressing results. Some participants had misunderstandings about the scope of the test and the potential implications of their results. Most felt it was better to know about a genetic predisposition to disease than to remain uninformed. Participants felt that genomic screening was worthwhile. DISCUSSION This is one of the first studies to examine the experiences of Latino individuals receiving genomic screening results. Our results suggest that many Latino patients in the US see value in genomic screening and have limited concerns about its potential to cause harm. These results inform ongoing efforts to increase the availability of genomic medicine to underrepresented populations and add to our understanding of sociocultural drivers in the adoption of precision medicine.
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Affiliation(s)
- Amal W Cheema
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
| | - Erica J Sutton
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
| | - Annika T Beck
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
| | - Idali Cuellar
- Biospecimens Accessioning and Processing, Mayo Clinic, Scottsdale, Arizona, USA
| | | | | | - Noralane M Lindor
- Department of Health Sciences Research, Mayo Clinic, Scottsdale, Arizona, USA
| | - Gabriel Q Shaibi
- Center for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA,
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA,
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Richardson JP, Balzekas I, Lundstrom BN, Worrell GA, Sharp RR. The Value of Patient Perspectives in an Ethical Analysis of Recruitment and Consent for Intracranial Electrophysiology Research. AJOB Neurosci 2021; 12:75-77. [PMID: 33528326 DOI: 10.1080/21507740.2020.1866114] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Samadder NJ, Riegert-Johnson D, Boardman L, Rhodes D, Wick M, Okuno S, Kunze KL, Golafshar M, Uson PLS, Mountjoy L, Ertz-Archambault N, Patel N, Rodriguez EA, Lizaola-Mayo B, Lehrer M, Thorpe CS, Yu NY, Esplin ED, Nussbaum RL, Sharp RR, Azevedo C, Klint M, Hager M, Macklin-Mantia S, Bryce AH, Bekaii-Saab TS, Sekulic A, Stewart AK. Comparison of Universal Genetic Testing vs Guideline-Directed Targeted Testing for Patients With Hereditary Cancer Syndrome. JAMA Oncol 2021; 7:230-237. [PMID: 33126242 PMCID: PMC7600058 DOI: 10.1001/jamaoncol.2020.6252] [Citation(s) in RCA: 131] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 09/20/2020] [Indexed: 02/06/2023]
Abstract
IMPORTANCE Hereditary factors play a key role in the risk of developing several cancers. Identification of a germline predisposition can have important implications for treatment decisions, risk-reducing interventions, cancer screening, and germline testing. OBJECTIVE To examine the prevalence of pathogenic germline variants (PGVs) in patients with cancer using a universal testing approach compared with targeted testing based on clinical guidelines and the uptake of cascade family variant testing (FVT). DESIGN, SETTING, AND PARTICIPANTS This prospective, multicenter cohort study assessed germline genetic alterations among patients with solid tumor cancer receiving care at Mayo Clinic cancer centers and a community practice between April 1, 2018, and March 31, 2020. Patients were not selected based on cancer type, disease stage, family history of cancer, ethnicity, or age. EXPOSURES Germline sequencing using a greater than 80-gene next-generation sequencing platform. MAIN OUTCOMES AND MEASURES Proportion of PGVs detected with a universal strategy compared with a guideline-directed approach and uptake of cascade FVT in families. RESULTS A total of 2984 patients (mean [SD] age, 61.4 [12.2] years; 1582 [53.0%] male) were studied. Pathogenic germline variants were found in 397 patients (13.3%), including 282 moderate- and high-penetrance cancer susceptibility genes. Variants of uncertain significance were found in 1415 patients (47.4%). A total of 192 patients (6.4%) had incremental clinically actionable findings that would not have been detected by phenotype or family history-based testing criteria. Of those with a high-penetrance PGV, 42 patients (28.2%) had modifications in their treatment based on the finding. Only younger age of diagnosis was associated with presence of PGV. Only 70 patients (17.6%) with PGVs had family members undergoing no-cost cascade FVT. CONCLUSIONS AND RELEVANCE This prospective, multicenter cohort study found that universal multigene panel testing among patients with solid tumor cancer was associated with an increased detection of heritable variants over the predicted yield of targeted testing based on guidelines. Nearly 30% of patients with high-penetrance variants had modifications in their treatment. Uptake of cascade FVT was low despite being offered at no cost.
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Affiliation(s)
- N. Jewel Samadder
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Phoenix, Arizona
- Department of Clinical Genomics, Mayo Clinic, Phoenix, Arizona
- Center for Individualized Medicine, Mayo Clinic, Phoenix, Arizona
| | - Douglas Riegert-Johnson
- Department of Clinical Genomics, Mayo Clinic, Phoenix, Arizona
- Center for Individualized Medicine, Mayo Clinic, Phoenix, Arizona
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic Florida, Jacksonville
| | - Lisa Boardman
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, New York
| | - Deborah Rhodes
- Department of Medicine, Yale New Haven Hospital, New Haven, Connecticut
- Formerly with Division of General Internal Medicine, Department of Medicine, Mayo Clinic Rochester, New York
| | - Myra Wick
- Department of Clinical Genomics, Mayo Clinic, Phoenix, Arizona
- Center for Individualized Medicine, Mayo Clinic, Phoenix, Arizona
- Department of Obstetrics and Gynecology, Mayo Clinic Rochester, Rochester, Minnesota
| | - Scott Okuno
- Department of Hematology and Oncology, Mayo Clinic Health System, Eau Claire, Wisconsin
| | - Katie L. Kunze
- Department of Health Sciences Research, Mayo Clinic Arizona, Phoenix
| | - Michael Golafshar
- Department of Health Sciences Research, Mayo Clinic Arizona, Phoenix
| | - Pedro L. S. Uson
- Division of Hematology and Medical Oncology, Department of Medicine, Mayo Clinic Arizona, Phoenix
| | - Luke Mountjoy
- Division of Hematology and Medical Oncology, Department of Medicine, Mayo Clinic Arizona, Phoenix
| | - Natalie Ertz-Archambault
- Division of Hematology and Medical Oncology, Department of Medicine, Mayo Clinic Arizona, Phoenix
| | - Neej Patel
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Phoenix, Arizona
| | - Eduardo A. Rodriguez
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Phoenix, Arizona
| | - Blanca Lizaola-Mayo
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Phoenix, Arizona
| | | | | | - Nathan Y. Yu
- Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix
| | | | | | - Richard R. Sharp
- Center for Individualized Medicine, Mayo Clinic, Phoenix, Arizona
- Department of Bioethics, Mayo Clinic, Rochester, Minnesota
| | - Cindy Azevedo
- Center for Individualized Medicine, Mayo Clinic, Phoenix, Arizona
| | - Margaret Klint
- Department of Clinical Genomics, Mayo Clinic, Phoenix, Arizona
| | - Megan Hager
- Department of Clinical Genomics, Mayo Clinic, Phoenix, Arizona
| | | | - Alan H. Bryce
- Division of Hematology and Medical Oncology, Department of Medicine, Mayo Clinic Arizona, Phoenix
| | - Tanios S. Bekaii-Saab
- Division of Hematology and Medical Oncology, Department of Medicine, Mayo Clinic Arizona, Phoenix
| | - Aleksandar Sekulic
- Center for Individualized Medicine, Mayo Clinic, Phoenix, Arizona
- Department of Dermatology, Mayo Clinic Arizona, Phoenix
| | - A. Keith Stewart
- Center for Individualized Medicine, Mayo Clinic, Phoenix, Arizona
- Division of Hematology and Medical Oncology, Department of Medicine, Mayo Clinic Arizona, Phoenix
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Meagher KM, Curtis SH, Borucki S, Beck A, Srinivasan T, Cheema A, Sharp RR. Communicating unexpected pharmacogenomic results to biobank contributors: A focus group study. Patient Educ Couns 2021; 104:242-249. [PMID: 32919825 DOI: 10.1016/j.pec.2020.08.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 07/08/2020] [Accepted: 08/19/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES The goals of this study were to explore 1) the impact of returning unexpected pharmacogenomic (PGx) results to biobank contributors, and 2) participant views about improving communication. METHODS We conducted a qualitative focus group study with biobank participants (N = 54) who were notified by mail of an individual research result indicating increased risk for adverse events associated with the common cancer drug 5-fluorouracil (5-FU). We employed a framework approach for analysis. RESULTS Our results revealed three themes illustrating participants' questions and uncertainty, especially regarding how to share results with health providers and family members, and remember them over time. Participants valued results for themselves and others, and for the future of medicine. Risk perception was framed by health identity. "Toxicity narratives," or familiarity with another's adverse reaction to chemotherapy, increased the sense of importance participants reported. CONCLUSION These focus group results highlight research participant remaining questions and high valuation of PGx results, even when unexpected. PRACTICE IMPLICATIONS We identify PGx research participants' needs for clear clinical translation messaging that attends to health identity, pragmatics of sharing information with family members, and patient perceptions of barriers to transferring research results to a clinical context.
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Affiliation(s)
- Karen M Meagher
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, USA
| | - Susan H Curtis
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, USA
| | | | - Annika Beck
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, USA
| | | | - Amal Cheema
- Geisel School of Medicine, Dartmouth College, Hanover, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, USA.
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31
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Pacyna JE, Shaibi GQ, Lee A, Byrne JO, Cuellar I, Sutton EJ, Hernandez V, Lindor NM, Singh D, Kullo IJ, Sharp RR. Increasing access to individualized medicine: a matched-cohort study examining Latino participant experiences of genomic screening. Genet Med 2021; 23:934-941. [PMID: 33500569 PMCID: PMC8495890 DOI: 10.1038/s41436-020-01079-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 12/14/2020] [Accepted: 12/15/2020] [Indexed: 01/30/2023] Open
Abstract
Purpose: Multiple efforts are underway to increase the inclusion of racial minority participants in genomic research and new forms of individualized medicine. These efforts should include studies that characterize how individuals from minority communities experience genomic medicine in diverse healthcare settings and how they integrate genetic knowledge into their understandings of healthcare needs. Methods: As part of a large, multisite genomic sequencing study, we surveyed individuals to assess their decision to pursue genomic risk evaluation. Participants included Latino patients recruited at Mountain Park Health Center, a Federally Qualified Health Center in Phoenix, AZ, and non-Latino patients recruited at a large academic medical center (Mayo Clinic in Rochester, MN). Both groups agreed to receive individualized genomic risk assessments. Results: Comparisons between cohorts showed that Latino respondents had lower levels of decisional conflict about pursuing genomic screening but generally scored lower on genetic knowledge. Latino respondents were also more likely to have concerns about the misuse of genomic information, despite both groups having similar views about the value of genomic risk evaluation. Conclusion: Our results highlight the importance of evaluating sociocultural factors that influence minority patient engagement with genomic medicine in diverse healthcare settings.
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Affiliation(s)
- Joel E Pacyna
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA
| | - Gabriel Q Shaibi
- Center for Health Promotion and Disease Prevention, Arizona State University, Phoenix, AZ, USA
| | - Alex Lee
- Division of Biostatistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Jamie O Byrne
- Division of Biostatistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Idali Cuellar
- Center for Individualized Medicine, Mayo Clinic, Phoenix, AZ, USA
| | - Erica J Sutton
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA. .,Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
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Lapid MI, Meagher KM, Giunta HC, Clarke BL, Ouellette Y, Armbrust TL, Sharp RR, Wright RS. Ethical Challenges in COVID-19 Biospecimen Research: Perspectives From Institutional Review Board Members and Bioethicists. Mayo Clin Proc 2021; 96:165-173. [PMID: 33413815 PMCID: PMC7584427 DOI: 10.1016/j.mayocp.2020.10.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/28/2020] [Accepted: 10/20/2020] [Indexed: 02/06/2023]
Abstract
Biospecimen research is a prominent investigative strategy that aims to provide novel insights into coronavirus disease 2019 (COVID-19), inform clinical trials, and develop effective, life-saving treatments. However, COVID-19 biospecimen research raises accompanying ethical concerns and practical challenges for investigators and participants. In this special article, we discuss the ethical issues that are associated with autonomy, beneficence, and justice in COVID-19 biospecimen research and describe strategies to manage the practical challenges, with an emphasis on protecting the rights and welfare of human research participants during a pandemic response. Appropriate institutional review board oversight and bioethics guidance for COVID-19 biospecimen research must maintain their focus on protecting the rights and welfare of research participants, despite the urgent need for more knowledge about the virus and the threat it poses to communities and nations.
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Affiliation(s)
- Maria I Lapid
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN.
| | - Karen M Meagher
- Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN; Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Hannah C Giunta
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN
| | - Bart L Clarke
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN
| | - Yves Ouellette
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN
| | - Tamyra L Armbrust
- Office for Human Research Protection and Institutional Review Board, Mayo Clinic, Rochester, MN
| | - Richard R Sharp
- Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN; Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN; Center for Individualized Medicine, Mayo Clinic, Rochester, MN
| | - R Scott Wright
- Office for Human Research Protection and Institutional Review Board, Mayo Clinic, Rochester, MN; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
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Teigen LN, Sharp RR, Hirsch JR, Campbell E, Timm PC, Sandness DJ, Feemster JC, Gossard TR, Faber SM, Steele TA, Rivera S, Junna MR, Lipford MC, Tippmann-Peikert M, Kotagal S, Ju YE, Howell M, Schenck CH, Videnovic A, Jennum P, Hogl B, Stefani A, Arnulf I, Heidbreder A, Lewis S, McCarter SJ, Boeve BF, Silber MH, St Louis EK. Specialist approaches to prognostic counseling in isolated REM sleep behavior disorder. Sleep Med 2020; 79:107-112. [PMID: 33486257 PMCID: PMC10075000 DOI: 10.1016/j.sleep.2020.12.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 12/10/2020] [Accepted: 12/11/2020] [Indexed: 11/20/2022]
Abstract
OBJECTIVES/BACKGROUND Most middle-aged and older adult patients with isolated (idiopathic) REM sleep behavior disorder (RBD) eventually develop parkinsonism, dementia with Lewy bodies, or multiple system atrophy. We aimed to describe the current sleep medicine specialist approach toward RBD prognostic counseling, and to determine physician beliefs and characteristics that impact provision of counseling. PATIENTS/METHODS We surveyed 70 sleep medicine physicians with RBD expertise for demographic information, counseling practices, and their beliefs and understandings concerning the association between RBD and synucleinopathies, among other questions. Responses were summarized by descriptive statistics. RESULTS Among the 44 respondents (63% response rate), 41 (93.2%) regularly provided prognostic counseling for most RBD patients, but only 31.8% routinely asked about patient preferences on receiving counseling. 41.8% believed that the risk for developing overt synucleinopathy following RBD diagnosis was >80%, but only 15.9% routinely provided this detailed phenoconversion risk estimate to their patients. Most respondents were concerned that RBD prognostic counseling could adversely impact on the patient's and family's mental health. CONCLUSIONS Most expert RBD sleep clinicians routinely counsel their patients regarding the high risk for phenoconversion to parkinsonism or dementia, yet relatively few routinely ask patients about their preferences for receiving this information, and fewer provide details concerning the known high risk estimates for developing a synucleinopathy. Future research should analyze patients' values and preferences in RBD populations to inform approaches toward shared decision making for RBD prognostic counseling.
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Affiliation(s)
- Luke N Teigen
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | - Jessica R Hirsch
- Biomedical Ethics Research Program, Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | - Emmaling Campbell
- Biomedical Ethics Research Program, Mayo Clinic College of Medicine and Science, Rochester, MN, USA; University of South Carolina, USA
| | - Paul C Timm
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - David J Sandness
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - John C Feemster
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Thomas R Gossard
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Sarah M Faber
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Tyler A Steele
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA; University of Minnesota-Rochester, Rochester, MN, USA
| | - Sonia Rivera
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA; University of Minnesota-Rochester, Rochester, MN, USA
| | - Mithri R Junna
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Melissa C Lipford
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Maja Tippmann-Peikert
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Suresh Kotagal
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Yo-El Ju
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Michael Howell
- Department of Neurology, University of Minnesota, Minneapolis, MN, USA
| | - Carlos H Schenck
- Minnesota Regional Sleep Disorders Center, And Department of Psychiatry, Hennepin County Medical Center and University of Minnesota Medical School, Minneapolis, MN, USA
| | | | - Poul Jennum
- Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Birgit Hogl
- Department of Neurology, University of Innsbruck, Innsbruck, Austria
| | - Ambra Stefani
- Department of Neurology, University of Innsbruck, Innsbruck, Austria
| | - Isabelle Arnulf
- Pitie Salpetriere Hopital and Sorbonne University, Paris, France
| | - Anna Heidbreder
- Department of Neurology, University of Innsbruck, Innsbruck, Austria; Department of Neurology with Institute of Translational Neurology, University of Muenster, Muenster, Germany
| | - Simon Lewis
- Department of Neurology, University of Sidney, Sidney, Australia
| | - Stuart J McCarter
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Bradley F Boeve
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Michael H Silber
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Erik K St Louis
- Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, USA; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA; Biomedical Ethics Research Program, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
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Schwarz CG, Kremers WK, Therneau TM, Sharp RR, Gunter JL, Vemuri P, Arani A, Spychalla AJ, Kantarci K, Knopman DS, Petersen RC, Jack CR. Popular MRI de‐facing software does not sufficiently protect participants from re‐identification via face recognition. Alzheimers Dement 2020. [DOI: 10.1002/alz.045157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Master Z, Crowley AP, Smith C, Wigle D, Terzic A, Sharp RR. Stem cell preservation for regenerative therapies: ethical and governance considerations for the health care sector. NPJ Regen Med 2020; 5:23. [PMID: 33298936 PMCID: PMC7708480 DOI: 10.1038/s41536-020-00108-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 10/23/2020] [Indexed: 12/18/2022] Open
Abstract
The stem cell preservation industry has grown substantially with private businesses, public hospitals, and academic medical centers considering preserving induced pluripotent stem cells, mesenchymal stem cells, and other cell types of patients and the public in order to potentially use them for stem cell therapy should such an intervention exist in the future. Despite this growth and interest among private firms and academic centers, no study has yet considered the bioethical issues of such platforms. In this article, we explore several ethical and social issues related to the biopreservation of stem cells for future regenerative therapies. We analyze a range of bioethical considerations that public and private institutions should bear in mind as they develop stem cell preservation platforms. These include medical validation of regenerative interventions and their influence on the public understanding of stem cell therapies, the impact of public trust of organizations creating a private, for-profit venture of stem cell preservation, and logistical issues in the governance of the collection including ownership and dispositional authority, informed consent and access, and withdrawal and non-payment. These considerations should be incorporated into current and future stem cell preservation platforms in order to promote the responsible translation of regenerative medicine.
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Affiliation(s)
- Zubin Master
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, 55905, USA.
- Center for Regenerative Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
| | - Aidan P Crowley
- College of Science, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Cambray Smith
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, 55905, USA
- School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Dennis Wigle
- Center for Regenerative Medicine, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Andre Terzic
- Center for Regenerative Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, 55905, USA
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Sutton EJ, Beck AT, Gamm KO, McCormick JB, Kullo IJ, Sharp RR. "They're Not Going to Do Nothing for Me": Research Participants' Attitudes towards Elective Genetic Counseling. J Pers Med 2020; 10:jpm10040143. [PMID: 32987879 PMCID: PMC7711758 DOI: 10.3390/jpm10040143] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 09/12/2020] [Accepted: 09/18/2020] [Indexed: 11/25/2022] Open
Abstract
As applications of genomic sequencing have expanded, offering genetic counseling support to all patients is arguably no longer practical. Additionally, whether individuals desire and value genetic counseling services for genomic screening is unclear. We offered elective genetic counseling to 5110 individuals prior to undergoing sequencing and 2310 participants who received neutral results to assess demand. A total of 0.2% of the study participants accessed genetic counseling services prior to sequencing, and 0.3% reached out after receiving neutral results. We later conducted 50 interviews with participants to understand why they did not access these services. Many interviewees did not recall the availability of genetic counseling and were unfamiliar with the profession. Interviewees described not needing counseling before sequencing because they understood the study and felt that they could cope with any result. Counseling was considered equally unnecessary after learning neutral results. Although the participants had questions about their results, they did not feel that speaking with a genetic counselor would be helpful. Genomic screening efforts that employ opt-in models of genetic counseling may need to clarify the potential value of genetic counseling support from the outset and feature genetic counseling services more prominently in program materials.
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Affiliation(s)
- Erica J. Sutton
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55905, USA; (E.J.S.); (A.T.B.)
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Annika T. Beck
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55905, USA; (E.J.S.); (A.T.B.)
| | - Kylie O. Gamm
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA;
| | - Jennifer B. McCormick
- College of Medicine, Department of Humanities, Pennsylvania State University, Hershey, PA 17033, USA;
| | - Iftikhar J. Kullo
- Division of Cardiovascular Diseases, Mayo Clinic, Rochester, MN 55905, USA;
| | - Richard R. Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN 55905, USA; (E.J.S.); (A.T.B.)
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
- Correspondence: ; Tel.: +1-507-538-6502
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Sher T, Burger CD, DeMartino ES, de Moraes AG, Sharp RR. Resuscitation and COVID-19: Recalibrating Patient and Family Expectations During a Pandemic. Mayo Clin Proc 2020; 95:1848-1851. [PMID: 32861329 PMCID: PMC7323655 DOI: 10.1016/j.mayocp.2020.06.035] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 06/19/2020] [Indexed: 01/08/2023]
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Lim S, DeBruin DA, Leider JP, Sederstrom N, Lynfield R, Baker JV, Kline S, Kesler S, Rizza S, Wu J, Sharp RR, Wolf SM. Developing an Ethics Framework for Allocating Remdesivir in the COVID-19 Pandemic. Mayo Clin Proc 2020; 95:1946-1954. [PMID: 32861338 PMCID: PMC7305893 DOI: 10.1016/j.mayocp.2020.06.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 06/05/2020] [Accepted: 06/10/2020] [Indexed: 11/28/2022]
Abstract
On May 1, 2020, the US Food and Drug Administration (FDA) issued an Emergency Use Authorization (EUA) to allow use of the antiviral drug remdesivir to treat patients with severe coronavirus disease-2019 (COVID-19). Remdesivir is an investigational drug studied in clinical trials for COVID-19 and is available to children and pregnant women through compassionate-use access but is not yet FDA approved. In early May, the US Department of Health and Human Services began to distribute remdesivir, donated by Gilead Sciences, Inc., to hospitals and state health departments for emergency use; multiple shipments have since been distributed. This process has raised questions of how remdesivir should be allocated. The Minnesota Department of Health has collaborated with the Minnesota COVID Ethics Collaborative and multiple clinical experts to issue an Ethical Framework for May 2020 Allocation of Remdesivir in the COVID-19 Pandemic. The framework builds on extensive ethical guidance developed for public health emergencies in Minnesota before the COVID-19 crisis. The Minnesota remdesivir allocation framework specifies an ethical approach to distributing the drug to facilities across the state and then among COVID-19 patients within each facility. This article describes the process of developing the framework and adjustments in the framework over time with emergence of new data, analyzes key issues addressed, and suggests next steps. Sharing this framework and the development process can encourage transparency and may be useful to other states formulating and refining their approach to remdesivir EUA allocation.
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Key Words
- ecmo, extracorporeal membrane oxygenation
- ehr, electronic health record
- eua, emergency use authorization
- fda, food and drug administration
- hhs, department of health and human services
- mcec, minnesota covid ethics collaborative
- mdh, minnesota department of health
- niaid, national institute of allergy and infectious diseases
- sat, science advisory team
- shccc, state health care coordination center
- umn, university of minnesota
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Affiliation(s)
- Sarah Lim
- Minnesota Department of Health, St. Paul, MN
| | | | | | | | | | | | | | | | | | - Joel Wu
- University of Minnesota, Minneapolis
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Kirsch AC, Zaccariello MJ, McCormick JB, Sharp RR, Flick RP, Warner DO. Bridging the gap: ethical considerations of providing psychological assessment results in research studies. Ethics & Behavior 2020. [DOI: 10.1080/10508422.2020.1799793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Alexandra C. Kirsch
- Department of Psychiatry and Psychology, Mayo Clinic
- Department of Psychiatry and Behavioral Sciences, NorthShore University HealthSystem
| | | | | | | | - Randall P. Flick
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic
| | - David O. Warner
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic
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Hoell C, Wynn J, Rasmussen LV, Marsolo K, Aufox SA, Chung WK, Connolly JJ, Freimuth RR, Kochan D, Hakonarson H, Harr M, Holm IA, Kullo IJ, Lammers PE, Leppig KA, Leslie ND, Myers MF, Sharp RR, Smith ME, Prows CA. Participant choices for return of genomic results in the eMERGE Network. Genet Med 2020; 22:1821-1829. [PMID: 32669677 DOI: 10.1038/s41436-020-0905-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 06/29/2020] [Accepted: 06/30/2020] [Indexed: 12/18/2022] Open
Abstract
PURPOSE Secondary findings are typically offered in an all or none fashion when sequencing is used for clinical purposes. This study aims to describe the process of offering categorical and granular choices for results in a large research consortium. METHODS Within the third phase of the electronic MEdical Records and GEnomics (eMERGE) Network, several sites implemented studies that allowed participants to choose the type of results they wanted to receive from a multigene sequencing panel. Sites were surveyed to capture the details of the implementation protocols and results of these choices. RESULTS Across the ten eMERGE sites, 4664 participants including adolescents and adults were offered some type of choice. Categories of choices offered and methods for selecting categories varied. Most participants (94.5%) chose to learn all genetic results, while 5.5% chose subsets of results. Several sites allowed participants to change their choices at various time points, and 0.5% of participants made changes. CONCLUSION Offering choices that include learning some results is important and should be a dynamic process to allow for changes in scientific knowledge, participant age group, and individual preference.
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Affiliation(s)
- Christin Hoell
- Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Julia Wynn
- Columbia University Irving Medical Center, New York, NY, USA
| | - Luke V Rasmussen
- Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Keith Marsolo
- Department of Population Health Sciences, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Sharon A Aufox
- Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Wendy K Chung
- Columbia University Irving Medical Center, New York, NY, USA
| | - John J Connolly
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Robert R Freimuth
- Department of Health Sciences Research, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - David Kochan
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Margaret Harr
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ingrid A Holm
- Division of Genetics and Genomics, and the Manton Center for Orphan Diseases Research, Boston Children's Hospital, Boston, MA, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Nancy D Leslie
- Division of Human Genetics, Cincinnati Children's Hospital, and University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Melanie F Myers
- Division of Human Genetics, Cincinnati Children's Hospital, and University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA
| | - Maureen E Smith
- Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Cynthia A Prows
- Divisions of Human Genetics and Patient Services, Cincinnati Children's Hospital, Cincinnati, OH, USA.
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Kent DM, Paulus JK, Sharp RR, Hajizadeh N. When predictions are used to allocate scarce health care resources: three considerations for models in the era of Covid-19. Diagn Progn Res 2020; 4:11. [PMID: 32455168 PMCID: PMC7238723 DOI: 10.1186/s41512-020-00079-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 04/29/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The need for life-saving interventions such as mechanical ventilation may threaten to outstrip resources during the Covid-19 pandemic. Allocation of these resources to those most likely to benefit can be supported by clinical prediction models. The ethical and practical considerations relevant to predictions supporting decisions about microallocation are distinct from those that inform shared decision-making in ways important for model design. MAIN BODY We review three issues of importance for microallocation: (1) Prediction of benefit (or of medical futility) may be technically very challenging; (2) When resources are scarce, calibration is less important for microallocation than is ranking to prioritize patients, since capacity determines thresholds for resource utilization; (3) The concept of group fairness, which is not germane in shared decision-making, is of central importance in microallocation. Therefore, model transparency is important. CONCLUSION Prediction supporting allocation of life-saving interventions should be explicit, data-driven, frequently updated and open to public scrutiny. This implies a preference for simple, easily understood and easily applied prognostic models.
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Affiliation(s)
- David M. Kent
- Predictive Analytics and Comparative Effectiveness (PACE) Center, Tufts Medical Center, Boston, MA USA
| | - Jessica K. Paulus
- Predictive Analytics and Comparative Effectiveness (PACE) Center, Tufts Medical Center, Boston, MA USA
| | | | - Negin Hajizadeh
- Feinstein Institutes for Medical Research, Northwell Health, New York City, NY USA
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Lynch JA, Sharp RR, Aufox SA, Bland ST, Blout C, Bowen DJ, Buchanan AH, Halverson C, Harr M, Hebbring SJ, Henrikson N, Hoell C, Holm IA, Jarvik G, Kullo IJ, Kochan DC, Larson EB, Lazzeri A, Leppig KA, Madden J, Marasa M, Myers MF, Peterson J, Prows CA, Kulchak Rahm A, Ralston J, Milo Rasouly H, Scrol A, Smith ME, Sturm A, Stuttgen K, Wiesner G, Williams MS, Wynn J, Williams JL. Understanding the Return of Genomic Sequencing Results Process: Content Review of Participant Summary Letters in the eMERGE Research Network. J Pers Med 2020; 10:jpm10020038. [PMID: 32413979 PMCID: PMC7354464 DOI: 10.3390/jpm10020038] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 05/06/2020] [Accepted: 05/09/2020] [Indexed: 01/26/2023] Open
Abstract
A challenge in returning genomic test results to research participants is how best to communicate complex and clinically nuanced findings to participants in a manner that is scalable to the large numbers of participants enrolled. The purpose of this study was to examine the features of genetic results letters produced at each Electronic Medical Records and Genomics (eMERGE3) Network site to assess their readability and content. Letters were collected from each site, and a qualitative analysis of letter content and a quantitative analysis of readability statistics were performed. Because letters were produced independently at each eMERGE site, significant heterogeneity in readability and content was found. The content of letters varied widely from a baseline of notifying participants that results existed to more detailed information about positive or negative results, as well as materials for sharing with family members. Most letters were significantly above the Centers for Disease Control-suggested reading level for health communication. While continued effort should be applied to make letters easier to understand, the ongoing challenge of explaining complex genomic information, the implications of negative test results, and the uncertainty that comes with some types of test and result makes simplifying letter text challenging.
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Affiliation(s)
- John A. Lynch
- Department of Communication, University of Cincinnati, Cincinnati, OH 45220, USA
- Correspondence:
| | | | - Sharon A. Aufox
- Center for Genomic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; (S.A.A.); (C.H.)
| | - Sarah T. Bland
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA; (S.T.B.); (J.P.)
| | - Carrie Blout
- Harvard Pilgrim Health Care Institute, Boston, MA 02115, USA;
| | - Deborah J. Bowen
- Department of Bioethics and Humanities, School of Medicine, University of Washington, Seattle, WA 98195, USA;
| | - Adam H. Buchanan
- Genomic Medicine Institute, Geisinger, Danville, PA 17822, USA; (A.H.B.); (A.L.); (A.K.R.); (A.S.); (M.S.W.); (J.L.W.)
| | - Colin Halverson
- School of Medicine, Indiana University-Purdue University, Indianapolis, IN 46202, USA;
| | - Margaret Harr
- Center for Applied Genomics, Children’s Hospital of Pennsylvania, Philadelphia, PA 19104, USA;
| | | | - Nora Henrikson
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente of Washington, Seattle, WA 98101, USA; (N.H.); (E.B.L.); (J.R.); (A.S.)
- Department of Health Services, School of Public Health, University of Washington, Seattle, WA 98195, USA
| | - Christin Hoell
- Center for Genomic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; (S.A.A.); (C.H.)
| | - Ingrid A. Holm
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA;
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA 02115, USA;
| | - Gail Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington, Seattle, WA 98195, USA;
| | - Iftikhar J. Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55902, USA; (I.J.K.); (D.C.K.); (K.S.)
| | - David C. Kochan
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55902, USA; (I.J.K.); (D.C.K.); (K.S.)
| | - Eric B. Larson
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente of Washington, Seattle, WA 98101, USA; (N.H.); (E.B.L.); (J.R.); (A.S.)
- Division of General Internal Medicine, University of Washington, Seattle, WA 98195, USA
| | - Amanda Lazzeri
- Genomic Medicine Institute, Geisinger, Danville, PA 17822, USA; (A.H.B.); (A.L.); (A.K.R.); (A.S.); (M.S.W.); (J.L.W.)
| | - Kathleen A. Leppig
- Genetic Services, Kaiser Permanente of Washington, Seattle, WA 98101, USA;
- University of Washington Biomedical and Health Informatics, Seattle, WA 98195, USA
| | - Jill Madden
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA 02115, USA;
| | - Maddalena Marasa
- Department of Medicine, Division of Nephrology, Columbia University Irving Medical Center, New York, NY 10032, USA; (M.M.); (H.M.R.)
| | - Melanie F. Myers
- College of Medicine, University of Cincinnati, Cincinnati, OH 45220, USA;
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229, USA;
| | - Josh Peterson
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA; (S.T.B.); (J.P.)
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
| | - Cynthia A. Prows
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229, USA;
| | - Alanna Kulchak Rahm
- Genomic Medicine Institute, Geisinger, Danville, PA 17822, USA; (A.H.B.); (A.L.); (A.K.R.); (A.S.); (M.S.W.); (J.L.W.)
| | - James Ralston
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente of Washington, Seattle, WA 98101, USA; (N.H.); (E.B.L.); (J.R.); (A.S.)
- University of Washington Biomedical and Health Informatics, Seattle, WA 98195, USA
| | - Hila Milo Rasouly
- Department of Medicine, Division of Nephrology, Columbia University Irving Medical Center, New York, NY 10032, USA; (M.M.); (H.M.R.)
| | - Aaron Scrol
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente of Washington, Seattle, WA 98101, USA; (N.H.); (E.B.L.); (J.R.); (A.S.)
| | - Maureen E. Smith
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA;
| | - Amy Sturm
- Genomic Medicine Institute, Geisinger, Danville, PA 17822, USA; (A.H.B.); (A.L.); (A.K.R.); (A.S.); (M.S.W.); (J.L.W.)
| | - Kelsey Stuttgen
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55902, USA; (I.J.K.); (D.C.K.); (K.S.)
| | - Georgia Wiesner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
- Vanderbilt Clinical and Translational Hereditary Cancer Program, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Marc S. Williams
- Genomic Medicine Institute, Geisinger, Danville, PA 17822, USA; (A.H.B.); (A.L.); (A.K.R.); (A.S.); (M.S.W.); (J.L.W.)
| | - Julia Wynn
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY 10027, USA;
| | - Janet L. Williams
- Genomic Medicine Institute, Geisinger, Danville, PA 17822, USA; (A.H.B.); (A.L.); (A.K.R.); (A.S.); (M.S.W.); (J.L.W.)
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Meagher KM, Curtis SH, Gamm KO, Sutton EJ, McCormick JB, Sharp RR. At a Moment's Notice: Community Advisory Board Perspectives on Biobank Communication to Supplement Broad Consent. Public Health Genomics 2020; 23:77-89. [PMID: 32396907 DOI: 10.1159/000507057] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 03/05/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION To address ethical concerns about the of future research authorization, biobanks employing a broad model of consent can design ongoing communication with contributors. Notifying contributors at the time of sample distribution provides one form of communication to supplement broad consent. However, little is known about how community-informed governance might anticipate contributor responses and inform communication efforts. OBJECTIVE We explored the attitudes of members of a three-site Community Advisory Board (CAB) network. CAB members responded to a hypothetical proposal for notifying biobank contributors at the time of sample distribution to researchers utilizing the biobank. METHODS We used regularly scheduled CAB meetings to facilitate 3 large-group and 6 small-group discussions. Discussions were audio-recorded, transcribed, and analyzed for thematic content using descriptive thematic analysis. RESULTS The results challenged our expectation of general support for the proposed communications. While CAB members identified some advantages, they were concerned about several potential harms to biobank contributors and the biobank. The CABs understood biobank communication in terms of an ongoing relationship with the biobank and a personal contribution to research. CONCLUSION Our findings contribute to the emerging literature on community engagement in biobanking. Additional communication with biobank contributors can serve a variety of value-based objectives to supplement broad consent. Design of communication efforts by biobanks can be improved by CAB members' anticipation of the unintended consequences of additional contact with contributors. CAB members' holistic interpretation of communication efforts suggests that biobank leadership considers all communication options as part of a more comprehensive communications strategy.
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Affiliation(s)
- Karen M Meagher
- Mayo Clinic Biomedical Ethics Research Program, Rochester, Minnesota, USA
| | - Susan H Curtis
- Mayo Clinic Biomedical Ethics Research Program, Rochester, Minnesota, USA
| | - Kylie O Gamm
- Mayo Clinic Biomedical Ethics Research Program, Rochester, Minnesota, USA
| | - Erica J Sutton
- Mayo Clinic Biomedical Ethics Research Program, Rochester, Minnesota, USA
| | - Jennifer B McCormick
- Department of Humanities, College of Medicine, Pennsylvania State University, Hershey, Pennsylvania, USA
| | - Richard R Sharp
- Mayo Clinic Biomedical Ethics Research Program, Rochester, Minnesota, USA,
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Garmany R, Lee CJ, Sharp RR, Kullo IJ. Failure to follow up on a medically actionable finding from direct to consumer genetic testing: A case report. Mol Genet Genomic Med 2020; 8:e1252. [PMID: 32329251 PMCID: PMC7284021 DOI: 10.1002/mgg3.1252] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 10/14/2019] [Accepted: 10/23/2019] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND A 61-year-old woman underwent direct to consumer genetic testing and was found to be homozygous for the C282Y HFE variant (c.845G>A :p.Cys282Tyr) which is classified as pathogenic/likely pathogenic for hereditary hemochromatosis. However, no action was taken by the individual. METHODS The individual took part in the Mayo Clinic Return of Actionable Variants Empiric (RAVE) study and the actionable finding was confirmed and results disclosed in person by a genetic counselor with subsequent referral to a hepatologist. RESULTS Further testing revealed iron overload with an elevated ferritin level (560 ng/ml) and increased ferritin saturation (74%). Phlebotomy was initiated with subsequent normalization of the ferritin levels (252 ng/ml). CONCLUSION This case highlights that actionable genetic results may not be acted on after direct to consumer testing and the need for effective genetic counseling after such testing.
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Affiliation(s)
- Ramin Garmany
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Christopher J Lee
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
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Pacyna JE, McCormick JB, Olson JE, Winkler EM, Bublitz JT, Hathcock MA, Sharp RR. Assessing the stability of biobank donor preferences regarding sample use: evidence supporting the value of dynamic consent. Eur J Hum Genet 2020; 28:1168-1177. [PMID: 32327712 PMCID: PMC7608348 DOI: 10.1038/s41431-020-0625-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 03/03/2020] [Accepted: 03/24/2020] [Indexed: 01/06/2023] Open
Abstract
Dynamic consent has been proposed as a strategy for addressing the limitations of traditional, broad consent for biobank participation. Although the argument for dynamic consent has been made on theoretical grounds, empirical studies evaluating the potential utility of dynamic consent are needed to enhance deliberations about the merits of dynamic consent. Few studies have assessed such considerations as whether donor preferences may change over time or if participants would use a dynamic consent mechanism to modify preferences when they change. We administered a 66-item survey to participants in a large DNA biobank. The survey sought to gauge the stability of donor preferences specified at the time of biobank enrollment, specifically the stability of donors’ preference regarding posthumous availability of biospecimens to next-of-kin. We received 1164 completed surveys for a response rate of 72%. Forty percent of respondents indicated a preference regarding sample availability on the survey (T2) that was inconsistent with the preference they had expressed when they enrolled in the biobank (T1). Most (94%) individuals with inconsistent preferences regarding sample availability had initially restricted sample availability at T1 but were comfortable with broader availability when asked at the time of the survey (T2). Our findings demonstrate that preferences regarding sample use expressed at the time of enrollment in a DNA biobank may not be reliable indicators of donor preferences over time. These findings lend empirical support to the case for a dynamic consent model in which biobank participants are approached over time to clarify their views regarding sample use.
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Affiliation(s)
- Joel E Pacyna
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA
| | | | - Janet E Olson
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Erin M Winkler
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Josh T Bublitz
- Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA. .,Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
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Barwise AK, Wilson ME, Sharp RR, DeMartino ES. Ethical Considerations About Clinician Reimbursement for Advance Care Planning. Mayo Clin Proc 2020; 95:653-657. [PMID: 32247339 PMCID: PMC7709876 DOI: 10.1016/j.mayocp.2019.12.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 11/19/2019] [Accepted: 12/16/2019] [Indexed: 10/24/2022]
Affiliation(s)
- Amelia K Barwise
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN.
| | - Michael E Wilson
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN; Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN
| | - Erin S DeMartino
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN
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Pacyna JE, Sharp RR. When Moral Intuitions and Empirical Findings Collide: A Case for Revisiting Protectionist Tendencies in Bioethics. AJOB Empir Bioeth 2020; 11:24-26. [PMID: 32096724 DOI: 10.1080/23294515.2020.1713245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Joel E Pacyna
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, Minnesota, USA
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Meagher KM, Allyse MA, Master Z, Sharp RR. Reexamining the Ethics of Human Germline Editing in the Wake of Scandal. Mayo Clin Proc 2020; 95:330-338. [PMID: 32029087 DOI: 10.1016/j.mayocp.2019.11.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 10/10/2019] [Accepted: 11/05/2019] [Indexed: 02/06/2023]
Abstract
In November 2018, the announcement that genetically edited human embryos had been used for reproductive purposes caused international uproar; many observers argued that editing the human germline was unethical, particularly given the early stage of the science and the absence of appropriate oversight. We provide an overview of the implications of these events, focusing on the relevant ethical considerations for physicians addressing patient questions and concerns. The editing of the human germline for reproductive purposes should be understood against an historic backdrop of clinical research in assisted reproduction, as well as other exemplars of translational investigation. An important question raised by our growing capacity to genetically alter human embryos is how to understand the implicit social contract between science and society. To ensure that translational research continues to enjoy the historic trust placed in scientists and research organizations, it is critical that scientific and health care institutions proactively engage governments, patient advocacy organizations, and the general public in the formation of policies that guide gene editing.
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Affiliation(s)
- Karen M Meagher
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN; Center for Individualized Medicine, Mayo Clinic, Rochester, MN; Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN.
| | - Megan A Allyse
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN; Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN; Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN
| | - Zubin Master
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN; Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN; Center for Regenerative Medicine, Mayo Clinic, Rochester, MN
| | - Richard R Sharp
- Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN; Center for Individualized Medicine, Mayo Clinic, Rochester, MN; Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN
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Bielinski SJ, St Sauver JL, Olson JE, Larson NB, Black JL, Scherer SE, Bernard ME, Boerwinkle E, Borah BJ, Caraballo PJ, Curry TB, Doddapaneni H, Formea CM, Freimuth RR, Gibbs RA, Giri J, Hathcock MA, Hu J, Jacobson DJ, Jones LA, Kalla S, Koep TH, Korchina V, Kovar CL, Lee S, Liu H, Matey ET, McGree ME, McAllister TM, Moyer AM, Muzny DM, Nicholson WT, Oyen LJ, Qin X, Raj R, Roger VL, Rohrer Vitek CR, Ross JL, Sharp RR, Takahashi PY, Venner E, Walker K, Wang L, Wang Q, Wright JA, Wu TJ, Wang L, Weinshilboum RM. Cohort Profile: The Right Drug, Right Dose, Right Time: Using Genomic Data to Individualize Treatment Protocol (RIGHT Protocol). Int J Epidemiol 2020; 49:23-24k. [PMID: 31378813 PMCID: PMC7124480 DOI: 10.1093/ije/dyz123] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/31/2019] [Indexed: 12/29/2022] Open
Affiliation(s)
- Suzette J Bielinski
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jennifer L St Sauver
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Robert D and Patricia E Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
| | - Janet E Olson
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Nicholas B Larson
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - John L Black
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Steven E Scherer
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | | | - Eric Boerwinkle
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Bijan J Borah
- Robert D and Patricia E Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Pedro J Caraballo
- Division of General Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Timothy B Curry
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
- Department of Anesthesia and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Robert R Freimuth
- Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Jyothsna Giri
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Matthew A Hathcock
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jianhong Hu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Debra J Jacobson
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Leila A Jones
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Sara Kalla
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Viktoriya Korchina
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Christie L Kovar
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Sandra Lee
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Hongfang Liu
- Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Eric T Matey
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
- Department of Pharmacy, Mayo Clinic, Rochester, MN, USA
| | - Michaela E McGree
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | - Ann M Moyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Wayne T Nicholson
- Department of Anesthesia and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA
| | - Lance J Oyen
- Department of Pharmacy, Mayo Clinic, Rochester, MN, USA
| | - Xiang Qin
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Ritika Raj
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Véronique L Roger
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Cardiovascular Diseases, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Richard R Sharp
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Paul Y Takahashi
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Eric Venner
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Kimberly Walker
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Liwei Wang
- Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Qiaoyan Wang
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Jessica A Wright
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
- Department of Pharmacy, Mayo Clinic, Rochester, MN, USA
| | - Tsung-Jung Wu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Liewei Wang
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
- Division of Clinical Pharmacology, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Richard M Weinshilboum
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
- Division of Clinical Pharmacology, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
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