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Massmann A, Petry N, Mills S, Adjekum A, Van Heukelom J. Impact of using dosing criteria to refine pharmacogenomic clinical decision support for tricyclic antidepressants. Am J Health Syst Pharm 2025; 82:e457-e464. [PMID: 39549283 DOI: 10.1093/ajhp/zxae337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Indexed: 11/18/2024] Open
Abstract
PURPOSE To evaluate the impact of dose-specific logic for tricyclic antidepressant (TCA) pharmacogenomics (PGx) clinical decision support (CDS). We aimed to provide guidance in an area with limited supporting literature, ensure optimal dosing through CDS, and limit alert fatigue. The primary outcome was the reduction in alerts prescribers encountered, while the secondary outcome included an analysis across specialties. METHODS A retrospective chart review was conducted to examine TCA PGx CDS before and after implementation of dosing criteria for alerts. Data were abstracted from the electronic medical record. A χ2 test was performed to analyze the frequency of alerts in behavioral health and other specialties. RESULTS In the cohort lacking dose criteria, most TCA orders were for indications other than depression (76%) and guidelines would not apply to the majority of these orders. Using dosing criteria to refine CDS reduced the volume of TCA alerts by 74.8%. Alert volume decreased the most in specialties other than behavioral health due to prescriptions for indications other than anxiety or depression (P = 0.035). CONCLUSION Dose-centric alerts may be used as a strategy to achieve optimal dosing. Alerting clinicians when dose modifications should occur contributes to getting the right dose to the right patient. Future efforts should focus on optimal dosing of medication through CDS enhancements.
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Affiliation(s)
- Amanda Massmann
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, USA
| | - Natasha Petry
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD
- Department of Pharmacy Practice, North Dakota State University, Fargo, ND, USA
| | - Sarah Mills
- Department of Veterans Affairs, Durham, NC, USA
| | - Adwoa Adjekum
- Department of Pharmaceutical Services, Sanford Medical Center, Fargo, ND, USA
| | - Joel Van Heukelom
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, USA
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Patel TJ, Wehbe E, Hughes S, Patanwala AE, Kritharides L, Lal S, Patel S, Stocker SL. Implementing CYP2C19-guided clopidogrel therapy: a scoping review of pharmacogenomic testing services. THE PHARMACOGENOMICS JOURNAL 2025; 25:12. [PMID: 40280918 PMCID: PMC12031670 DOI: 10.1038/s41397-025-00371-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Revised: 03/26/2025] [Accepted: 04/15/2025] [Indexed: 04/29/2025]
Abstract
Pharmacogenomic testing for CYP2C19 helps personalise clopidogrel therapy and reduces the risk of experiencing a secondary myocardial infarction in individuals with impaired CYP2C19 function. Routine testing, however, is uncommon and it is proposed that the key requirements and processes of testing services are poorly understood. This scoping review aimed to explore the literature for CYP2C19 testing services for clopidogrel and identify their commonalities to inform the design and delivery of future services. In total, 37 eligible studies describing services across hospital and community settings were retrieved. Key elements of delivery included a multi-disciplinary approach involving physicians and pharmacists, provision of pre-implementation training and education, and electronic communication of test results. Result integration into clinical decision support systems improved the practical application of pharmacogenomic testing. The identification of the key requirements and processes may be used by institutions looking to design and deliver CYP2C19 testing services to guide clopidogrel therapy.
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Affiliation(s)
- Tark J Patel
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Eman Wehbe
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Stephen Hughes
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Asad E Patanwala
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Department of Pharmacy, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Leonard Kritharides
- ANZAC Research Institute, Concord Repatriation General Hospital, University of Sydney, Sydney, NSW, Australia
- Cardiology Department, Concord Repatriation General Hospital, University of Sydney, Sydney, NSW, Australia
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Sean Lal
- Department of Cardiology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
- Centre for Heart Failure and Diseases of the Aorta, The Baird Institute, Sydney, NSW, Australia
- Heart Research Institute, Sydney, NSW, Australia
| | - Sanjay Patel
- Department of Cardiology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
- Heart Research Institute, Sydney, NSW, Australia
| | - Sophie L Stocker
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
- Department of Clinical Pharmacology and Toxicology, St Vincent's Hospital, Darlinghurst, NSW, Australia.
- School of Clinical Medicine, St Vincent's Clinical Campus, The University of New South Wales, Kensington, NSW, Australia.
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3
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Vanneste R, Bauer SA, Borle K, Dreikorn E. Expanding the primary care workforce by integrating genetic counselors in multidisciplinary care teams. Fam Pract 2025; 42:cmae057. [PMID: 39441176 PMCID: PMC11809246 DOI: 10.1093/fampra/cmae057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2024] Open
Abstract
Collectively, rare diseases are common, affecting approximately 8% of the population in Canada and the USA. Therefore, the majority of primary care (PC) clinicians will care for patients who are affected or at risk for a genetic disease. Considering the increasing ways in which genetics is being implemented into all areas of healthcare, one way to address these needs and expand the capacity of the PC workforce is through the integration of genetic counselors (GCs) into PC multidisciplinary teams. GCs are Masters-educated allied health professionals with specialized training in molecular genetics, communication, and short-term psychotherapeutic counseling. The current models of GCs in PC mimic other multidisciplinary models. Complex tasks related to genetics, such as pre- and post-test counseling, genetic test selection, and results interpretation, are conducted by GCs, which, in turn, allows physicians, nurse practitioners, and other PC providers to work at the top of their scope of practice. Quality genetics services provided by GCs improve clinical outcomes for patients and their families; the simultaneous provision of genetic education and psychological support by a GC is associated with an increase in patient knowledge, perceived personal control, decrease in distress, and can lead to positive health behavior changes, all of which are aligned with the goals of primary healthcare. With their extensive training in clinical care, medical communication, and psychotherapeutic counseling, integrating GCs into PC care teams will improve the care patients receive and allow PC clinicians to ensure their patients are at the forefront of the personalized medicine revolution.
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Affiliation(s)
- Rachel Vanneste
- Division of Medical Genetics, Department of Pediatrics, University of Saskatchewan, Saskatoon, SK S7N 0W8, Canada
| | - Sasha A Bauer
- Department of Medical Oncology, UW Health Northern Illinois, Rockford, IL 61114, United States
| | - Kennedy Borle
- Faculty of Graduate and Postdoctoral Studies, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Erika Dreikorn
- Clinical Translational Science Institute, University of Pittsburgh, Pittsburgh, PA 15213, United States
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Adelson SM, Blout Zawatsky CL, Hickingbotham MR, Bell ME, Platt DM, Leonhard JR, Zoltick ES, Hajek CA, Green RC, Christensen KD. Familial communication and cascade testing following elective genomic testing. J Genet Couns 2025; 34:e1907. [PMID: 38757439 PMCID: PMC11568072 DOI: 10.1002/jgc4.1907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 05/18/2024]
Abstract
Familial communication of results and cascade genetic testing (CGT) can extend the benefits of genetic screening beyond the patient to their at-risk relatives. While an increasing number of health systems are offering genetic screening as an elective clinical service, data are limited about how often results are shared and how often results lead to CGT. From 2018 to 2022, the Sanford Health system offered the Sanford Chip, an elective genomic test that included screening for medically actionable predispositions for disease recommended by the American College of Medical Genetics and Genomics for secondary findings disclosure, to its adult primary care patients. We analyzed patient-reported data about familial sharing of results and CGT among patients who received Sanford Chip results at least 1 year previously. Among the patients identified with medically actionable predispositions, 94.6% (53/56) reported disclosing their result to at least one family member, compared with 46.7% (423/906) of patients with uninformative findings (p < 0.001). Of the patients with actionable predispositions, 52.2% (12/23) with a monogenic disease risk and 12.1% (4/33) with a carrier status reported that their relatives underwent CGT. Results suggest that while the identification of monogenic risk during elective genomic testing motivates CGT in many at-risk relatives, there remain untested at-risk relatives who may benefit from future CGT. Findings identify an area that may benefit from increased genetic counseling and the development of tools and resources to encourage CGT for family members.
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Affiliation(s)
- Sophia M Adelson
- Brigham and Women's Hospital, Boston, Massachusetts, USA
- Ariadne Labs, Boston, Massachusetts, USA
- Department of Genetics, Human Genetics and Genetic Counseling, Stanford University School of Medicine, Stanford, California, USA
| | - Carrie L Blout Zawatsky
- Brigham and Women's Hospital, Boston, Massachusetts, USA
- Ariadne Labs, Boston, Massachusetts, USA
| | - Madison R Hickingbotham
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Megan E Bell
- Sanford Health Imagenetics, Sioux Falls, South Dakota, USA
| | - Dylan M Platt
- Sanford Health Imagenetics, Sioux Falls, South Dakota, USA
| | | | - Emilie S Zoltick
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Catherine A Hajek
- Sanford Health Imagenetics, Sioux Falls, South Dakota, USA
- Helix OpCo, LLC, San Mateo, California, USA
| | - Robert C Green
- Ariadne Labs, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, Massachusetts, USA
| | - Kurt D Christensen
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, USA
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5
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Platt DM, Blout Zawatsky CL, Christensen KD, Green RC, Hajek C, Hickingbotham MR, Hutchinson AM, LeBlanc JL, Zoltick ES, Jamal L. Primary Care Providers' Experiences With an Active Elective Genetic Testing Program. HEALTH EDUCATION & BEHAVIOR 2025; 52:28-37. [PMID: 39081055 DOI: 10.1177/10901981241266849] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2025]
Abstract
Elective genetic testing (EGT) programs that provide pharmacogenomic information to guide medication management and screen for medically actionable disease predispositions are emerging in a number of health systems. Primary care providers (PCPs) are at the forefront of test initiation, patient education, and management of EGT results. However, little research has examined the experiences of PCPs in health systems offering clinical EGT. We conducted semi-structured interviews, a sub-study of the larger mixed-methods Imagenetics Initiative, with 16 PCPs at a health system in the Midwest with a clinical EGT program supported by provider education, automated clinical decision support, and enhanced access to genetic specialists. The purpose of these interviews was to understand perceptions about the benefits and barriers of implementing EGT in clinical practice. Thematic analysis indicated that EGT is conceptualized similar to traditional diagnostic services. PCPs were generally favorable toward EGT; however, targeted education did not dispel misconceptions about the goals, results, and limitations of EGT. Most PCPs endorsed the potential utility of EGT. Pharmacogenomic profiling was seen as having more immediate impact for patients than screening for monogenic disease risks. PCPs reported that they weighed discussions about EGT against time limitations and the need to prioritize patients' existing health concerns. Regardless of their education levels and familiarity with genetics, PCPs desired additional educational resources and greater access to genetic specialists. Our study provides unique insight into PCPs' experiences with clinical EGT in health systems that have adopted EGT and highlights the practical challenges and potential opportunities of EGT integration.
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Affiliation(s)
- Dylan M Platt
- Sanford Health Imagenetics, Sioux Falls, SD, USA
- Augustana University, Sioux Falls, SD, USA
| | | | - Kurt D Christensen
- Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Robert C Green
- Ariadne Labs, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Catherine Hajek
- Sanford Health Imagenetics, Sioux Falls, SD, USA
- Helix OpCo LLC, San Mateo, CA, USA
| | | | | | | | | | - Leila Jamal
- National Cancer Institute, Bethesda, MD, USA
- National Institutes of Health Clinical Center, Bethesda, MD, USA
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Massmann A, Baye J, Weaver M, Petry N, Jacobsen K, Schultz A, Brady H, Van Heukelom J. Impact of a pharmacogenomics (PGx) clinic on patient satisfaction and PGx literacy. Pharmacogenomics 2025; 26:23-29. [PMID: 40114635 PMCID: PMC11988234 DOI: 10.1080/14622416.2025.2481015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2025] [Accepted: 03/14/2025] [Indexed: 03/22/2025] Open
Abstract
INTRODUCTION Genetic variants can impact medication response. The study of genetic variants on medications is called pharmacogenomics (PGx). Understanding PGx results can be difficult as results are reported differently than other laboratory tests. Patients have reported a lack of understanding and satisfaction with PGx information. METHODS Surveys were emailed to patients seen in the PGx clinic and patients who participated in an elective screening (Sanford Chip) at Sanford Health. Surveys were conducted to assess literacy, understanding and satisfaction of PGx testing. Survey responses were summarized using descriptive statistics. RESULTS There were 121 responses that were initially collected. A total of 100 responses were included in the analysis. The median response amongst all individuals was 9 out of a possible 13 points on the PGx literacy assessment. PGx clinic patients had increased satisfaction compared to Sanford Chip patients for being able to understand results (p < 0.05), that PGx test provided information to improve my care plan (p < 0.05), that they feel confident that my medication will be effective for me based on my genetics (p < 0.05), were satisfied with communication of results (p < 0.001) and overall experience (p < 0.01). DISCUSSION Implementation of a PGx clinic improves patient experience, confidence, and satisfaction.
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Affiliation(s)
- Amanda Massmann
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, USA
| | - Jordan Baye
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, USA
- Department of Pharmacy Practice, South Dakota State University College of Pharmacy & Allied Health Professions, Brookings, SD, USA
| | - Max Weaver
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, USA
| | - Natasha Petry
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, USA
- Department of Pharmacy Practice, North Dakota State University, Fargo, ND, USA
| | | | - April Schultz
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, USA
| | - Halle Brady
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, USA
| | - Joel Van Heukelom
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, USA
- Department of Pharmaceutical Services, Avera McKennan Hospital and University Health Center, Sioux Falls, SD, USA
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Do TT, Martyn M, McClaren B, McEwen A, Gaff C. Becoming agents for genomic change: genetic counsellors' views of patient care and implementation influences when genomics is mainstreamed. Eur J Hum Genet 2024; 32:1606-1614. [PMID: 39210048 DOI: 10.1038/s41431-024-01686-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 04/16/2024] [Accepted: 08/12/2024] [Indexed: 09/04/2024] Open
Abstract
Genetic counsellors (GCs) across the world are increasingly transitioning beyond clinical genetics services to meet the growing demands for genomic healthcare. This presents a unique opportunity for GCs to be 'genomic change agents' as they work in alternative models of care. Through various innovative models of mainstream care funded through a change program, we explored the views of GCs regarding their position as 'genomic change agents' and what may hinder or drive the success of their evolving roles. Guided by the Diffusion of Innovation Theory, we conducted qualitative interviews with all twelve GCs employed by the change program in different models of providing genomics across five specialties in Australia. Audio-recordings of all interviews were transcribed verbatim and analysed using inductive content analysis. Findings show that early in these new roles, participants held varied descriptions of 'genomics mainstreaming': some envisioned it as an end state exclusive to medical specialists practicing genomics while others saw the involvement of GCs as crucial. Participants believed they were uniquely positioned to expedite patient access to genomic testing and counselling and enhance medical specialists' capability to use genomics. Challenges included hesitancy of some medical specialists regarding the value of genomics in healthcare and potential tension arising from distinct perspectives and practice between genetic and non-genetic professionals. Participants anticipated a decline in the standard of care when non-genetic colleagues managed consent discussion and result disclosure. Our study underscores leadership support and peer connection with those in similar roles as essential elements for GCs' success in mainstream settings.
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Affiliation(s)
- Trang Thu Do
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Melbourne Genomics Health Alliance, Melbourne, VIC, Australia
- University of Melbourne, Melbourne, VIC, Australia
| | - Melissa Martyn
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Melbourne Genomics Health Alliance, Melbourne, VIC, Australia
- University of Melbourne, Melbourne, VIC, Australia
| | - Belinda McClaren
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Melbourne Genomics Health Alliance, Melbourne, VIC, Australia
- University of Melbourne, Melbourne, VIC, Australia
| | - Alison McEwen
- Graduate School of Health, University of Technology Sydney, Sydney, NSW, Australia
| | - Clara Gaff
- Murdoch Children's Research Institute, Melbourne, VIC, Australia.
- Melbourne Genomics Health Alliance, Melbourne, VIC, Australia.
- University of Melbourne, Melbourne, VIC, Australia.
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Parra-Astorgano L. [Pharmaceutical Indication Service in a case of palmar-plantar erythema after amoxicillin and ibuprofen treatment]. FARMACEUTICOS COMUNITARIOS 2024; 16:83-87. [PMID: 39439871 PMCID: PMC11491920 DOI: 10.33620/fc.2173-9218.(2024).22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 07/17/2024] [Indexed: 10/25/2024]
Abstract
Case description Patient (29 years old) with palmo-plantar erythema, goes to the community pharmacy (FC) requesting a cream to treat atopy. Evaluation The patient accessed the Pharmaceutical Indication Service (SPIF), showing that the manifestations appeared 24 hours after the start of dental treatment with amoxicillin 1g/12h and ibuprofen 600 mg/8h without any concomitant medication. Intervention After explaining the possible relationship of the symptoms with their medication, patient was derived to the doctor with the referral report completed by SEFAC-eXPERT. Results The patient went to the emergency where she was treated with intravenous corticosteroid and a prescription for cetirizine 10 mg. The dentist changed the beta-lactam to a macrolide (azithromycin) and the ibuprofen to paracetamol. From the FC, the evolution of the symptoms was monitored, which took 72 hours to disappear. Allergy tests suggested avoiding beta-lactams, cephalosporins, and arylpropionics without being conclusive. Months later, the patient suffered similar symptoms after inhaling a disinfectant spray and the allergy diagnosis was confirmed. Conclusions The FC identified and immediately referred using SPIF a case of hypersensitivity in a patient susceptible to RNM and the SPIF helps to record the intervention and follow-up, increasing patient safety.
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Affiliation(s)
- Lola Parra-Astorgano
- Farmacéutica Comunitaria. Profesora Asociada CC Salud, Facultad de Farmacia, USAL. Miembro del grupo de trabajo en Indicación SEFACEspaña
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9
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Montero-Gómez A, Sánchez Pozo A. [Selection of pharmacogenomic variants and methodology for their use in community pharmacy]. FARMACEUTICOS COMUNITARIOS 2024; 16:61-82. [PMID: 39439868 PMCID: PMC11491914 DOI: 10.33620/fc.2173-9218.(2024).27] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Accepted: 09/30/2024] [Indexed: 10/25/2024]
Abstract
Regulatory agencies such as the Food and Drug Administration (FDA) and the European Medicines Agency (EMA) recognize pharmacogenetics as a key tool in their pharmacological guidelines for pharmaceutical counseling. In this context, community pharmacies play a crucial role in addressing this healthcare need, which could lead to a significant improvement in patients' quality of life by preventing ineffective or contraindicated treatments.In this work, we conducted a systematic review of the available scientific evidence regarding druggene interactions relevant to community pharmacy. We identified the main genes and polymorphisms associated with treatment response and adverse effects in primary care. Finally, we propose a model for implementing pharmacogenetic services in community pharmacies.
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Affiliation(s)
- A Montero-Gómez
- Farmacéutica Comunitaria y Máster en Atención Farmacéutica. Granada.España
| | - A Sánchez Pozo
- Catedrático de Bioquímica y Biología Molecular, Facultad de Farmacia, Universidad de Granada.España
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Zoltick ES, Bell M, Hickingbotham MR, Wu AC, Galbraith LN, LeBlanc JL, Lu CY, Leonhard JR, Platt DM, Smith HS, Green RC, Hajek C, Christensen KD. Attitudes, knowledge, and risk perceptions of patients who received elective genomic testing as a clinical service. Genet Med 2024; 26:101200. [PMID: 38943480 PMCID: PMC11456384 DOI: 10.1016/j.gim.2024.101200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 06/20/2024] [Accepted: 06/21/2024] [Indexed: 07/01/2024] Open
Abstract
PURPOSE Elective genomic testing (EGT) is increasingly available clinically. Limited real-world evidence exists about attitudes and knowledge of EGT recipients. METHODS After web-based education, patients who enrolled in an EGT program at a rural nonprofit health care system completed a survey that assessed attitudes, knowledge, and risk perceptions. RESULTS From August 2020 to April 2022, 5920 patients completed the survey and received testing. Patients most frequently cited interest in learning their personal disease risks as their primary motivation. Patients most often expected results to guide medication management (74.0%), prevent future disease (70.4%), and provide information about risks to offspring (65.4%). Patients were "very concerned" most frequently about the privacy of genetic information (19.8%) and how well testing predicted disease risks (18.0%). On average, patients answered 6.7 of 11 knowledge items correctly (61.3%). They more often rated their risks for colon and breast cancers as lower rather than higher than the average person but more often rated their risk for a heart attack as higher rather than lower than the average person (all P < .001). CONCLUSION Patients pursued EGT because of the utility expectations but often misunderstood the test's capabilities.
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Affiliation(s)
- Emilie S Zoltick
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA
| | - Megan Bell
- Sanford Imagenetics, Sioux Falls, SD; Department of Genetic Counseling, Augustana University, Sioux Falls, SD.
| | | | - Ann Chen Wu
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA; Department of Population Medicine, Harvard Medical School, Boston, MA
| | - Lauren N Galbraith
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA; Pfizer, Inc, New York, NY
| | - Jessica L LeBlanc
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA
| | - Christine Y Lu
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA; Department of Population Medicine, Harvard Medical School, Boston, MA; Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, NSW, Australia; School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | | | - Dylan M Platt
- Sanford Imagenetics, Sioux Falls, SD; Department of Genetic Counseling, Augustana University, Sioux Falls, SD
| | - Hadley Stevens Smith
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA; Department of Population Medicine, Harvard Medical School, Boston, MA
| | - Robert C Green
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Ariadne Labs, Boston, MA; The Broad Institute of Harvard and MIT, Cambridge, MA
| | - Catherine Hajek
- Sanford Imagenetics, Sioux Falls, SD; Helix Inc, San Mateo, CA
| | - Kurt D Christensen
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA; Department of Population Medicine, Harvard Medical School, Boston, MA; The Broad Institute of Harvard and MIT, Cambridge, MA
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11
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Massmann A, Heukelom JV, Weaver M, Schultz A, Figueroa DM, Stys A, Stys TP, Christensen KD. Evaluation of pharmacogenetic automated clinical decision support for clopidogrel. Pharmacogenomics 2024; 25:391-399. [PMID: 39258919 PMCID: PMC11418215 DOI: 10.1080/14622416.2024.2394014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 08/15/2024] [Indexed: 09/12/2024] Open
Abstract
Aim: Clopidogrel requires CYP2C19 activation to have antiplatelet effects. Pharmacogenetic testing to identify patients with impaired CYP2C19 function can be coupled with clinical decision support (CDS) alerts to guide antiplatelet prescribing. We evaluated the impact of alerts on clopidogrel prescribing.Materials & methods: We retrospectively analyzed data for 866 patients in which CYP2C19-clopidogrel CDS was deployed at a single healthcare system during 2015-2023.Results: Analyses included 2,288 alerts. CDS acceptance rates increased from 24% in 2015 to 63% in 2023 (p < 0.05). Adjusted analyses also showed higher acceptance rates when clopidogrel had been ordered for a percutaneous intervention (OR: 28.7, p < 0.001) and when cardiologists responded to alerts (OR: 2.11, p = 0.001).Conclusion: CDS for CYP2C19-clopidogrel was effective in reducing potential drug-gene interactions. Its influence varied by clinician specialty and medication indications.
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Affiliation(s)
- Amanda Massmann
- Sanford Imagenetics, Sioux Falls, SD57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD57069, USA
| | - Joel Van Heukelom
- Sanford Imagenetics, Sioux Falls, SD57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD57069, USA
| | - Max Weaver
- Sanford Imagenetics, Sioux Falls, SD57105, USA
| | - April Schultz
- Sanford Imagenetics, Sioux Falls, SD57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD57069, USA
| | - Debbie M Figueroa
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD57069, USA
- Sanford Medical Genetics Laboratory, Sioux Falls, SD57105, USA
| | - Adam Stys
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD57069, USA
- Sanford Cardiovascular Institute, Sioux Falls, SD57105, USA
| | - Tomasz P Stys
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD57069, USA
- Sanford Cardiovascular Institute, Sioux Falls, SD57105, USA
| | - Kurt D Christensen
- Precision Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute & Harvard Medical School, Boston, MA02215, USA
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Massmann A, Christensen KD, Van Heukelom J, Schultz A, Shaukat MHS, Hajek C, Weaver M, Green RC, Wu AC, Hickingbotham MR, Zoltick ES, Stys A, Stys TP. Clinical impact of preemptive pharmacogenomic testing on antiplatelet therapy in a real-world setting. Eur J Hum Genet 2024; 32:895-902. [PMID: 38424298 PMCID: PMC11291480 DOI: 10.1038/s41431-024-01567-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 02/06/2024] [Accepted: 02/08/2024] [Indexed: 03/02/2024] Open
Abstract
CYP2C19 genotyping to guide antiplatelet therapy after patients develop acute coronary syndromes (ACS) or require percutaneous coronary interventions (PCIs) reduces the likelihood of major adverse cardiovascular events (MACE). Evidence about the impact of preemptive testing, where genotyping occurs while patients are healthy, is lacking. In patients initiating antiplatelet therapy for ACS or PCI, we compared medical records data from 67 patients who received CYP2C19 genotyping preemptively (results >7 days before need), against medical records data from 67 propensity score-matched patients who received early genotyping (results within 7 days of need). We also examined data from 140 patients who received late genotyping (results >7 days after need). We compared the impact of genotyping approaches on medication selections, specialty visits, MACE and bleeding events over 1 year. Patients with CYP2C19 loss-of-function alleles were less likely to be initiated on clopidogrel if they received preemptive rather than early or late genotyping (18.2%, 66.7%, and 73.2% respectively, p = 0.001). No differences were observed by genotyping approach in the number of specialty visits or likelihood of MACE or bleeding events (all p > 0.21). Preemptive genotyping had a strong impact on initial antiplatelet selection and a comparable impact on patient outcomes and healthcare utilization, compared to genotyping ordered after a need for antiplatelet therapy had been identified.
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Affiliation(s)
- Amanda Massmann
- Sanford Imagenetics, Sioux Falls, SD, 57105, USA.
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, 57069, USA.
| | - Kurt D Christensen
- Broad Institute of Harvard and MIT, Cambridge, MA, 02141, USA
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
- Department of Population Medicine, Harvard Medical School, Boston, MA, 02215, USA
| | - Joel Van Heukelom
- Sanford Imagenetics, Sioux Falls, SD, 57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, 57069, USA
| | - April Schultz
- Sanford Imagenetics, Sioux Falls, SD, 57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, 57069, USA
| | - Muhammad Hamza Saad Shaukat
- Minneapolis Heart Institute/Abbott Northwestern Hospital Institute, Minneapolis, MN, 55407, USA
- Sanford Cardiovascular Institute, Sioux Falls, SD, 57105, USA
| | - Catherine Hajek
- Sanford Imagenetics, Sioux Falls, SD, 57105, USA
- Helix OpCo, LLC, San Mateo, CA, 94401, USA
| | - Max Weaver
- Sanford Imagenetics, Sioux Falls, SD, 57105, USA
| | - Robert C Green
- Broad Institute of Harvard and MIT, Cambridge, MA, 02141, USA
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
- Ariadne Labs, Boston, MA, 02215, USA
| | - Ann Chen Wu
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
- Department of Population Medicine, Harvard Medical School, Boston, MA, 02215, USA
| | - Madison R Hickingbotham
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
| | - Emilie S Zoltick
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
| | - Adam Stys
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, 57069, USA
- Sanford Cardiovascular Institute, Sioux Falls, SD, 57105, USA
| | - Tomasz P Stys
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, 57069, USA
- Sanford Cardiovascular Institute, Sioux Falls, SD, 57105, USA
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Sánchez Pozo A, Montero Gómez A. [Translated article] Application of pharmacogenetic/pharmacogenomic data to personalise treatment in routine clinical practice. A narrative review. FARMACIA HOSPITALARIA 2024; 48 Suppl 1:TS5-TS12. [PMID: 39097377 DOI: 10.1016/j.farma.2024.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 09/13/2023] [Accepted: 09/25/2023] [Indexed: 08/05/2024] Open
Abstract
OBJECTIVE The aim of this article was to perform a narrative review of how pharmacogenetics and pharmacogenomics is being applied in the clinics, especially in Spain. METHOD Publications and websites of major interest have been reviewed. RESULTS Pharmacogenes and variants used in several hospitals, available methodologies, and the implementation process are discussed.
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Affiliation(s)
- Antonio Sánchez Pozo
- Departamento de Bioquímica y Biología Molecular 2, Facultad de Farmacia, Universidad de Granada, Granada, Spain.
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Sánchez Pozo A, Montero Gómez A. Application of pharmacogenetic/pharmacogenomic data to personalize treatment in routine clinical practice. A narrative review. FARMACIA HOSPITALARIA 2024; 48 Suppl 1:S5-S12. [PMID: 39097368 DOI: 10.1016/j.farma.2023.09.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 09/13/2023] [Accepted: 09/25/2023] [Indexed: 08/05/2024] Open
Abstract
OBJECTIVE The aim of this article is to perform a narrative review of how pharmacogenetics and pharmacogenomics is being applied in the clinic, especially in Spain. METHOD Publications and websites of major interest have been reviewed. RESULTS Pharmacogenes and variants used in several hospitals, available methodologies, and the implementation process are discussed.
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Affiliation(s)
- Antonio Sánchez Pozo
- Departamento de Bioquímica y Biología Molecular 2, Facultad de Farmacia, Universidad de Granada, Granada, España.
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Petry NJ, Massmann A, Bell M, Schultz A, Heukelom JV. Incidence of statin-associated muscle symptoms in patients taking statins with RYR1 or CACNA1S variants. Per Med 2024; 21:145-150. [PMID: 38722226 DOI: 10.1080/17410541.2024.2342223] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 04/09/2024] [Indexed: 07/26/2024]
Abstract
Background: Statins are commonly used medications. Variants in SLCO1B1, CYP2C9, and ABCG2 are known predictors of muscle effects when taking statins. More exploratory genes include RYR1 and CACNA1S, which can also be associated with disease conditions. Methods: Patients with pathogenic/likely pathogenic variants in RYR1 or CACNA1S were identified through an elective genomic testing program. Through chart review, patients with a history of statin use were assessed for statin-associated muscle symptoms (SAMS) along with collection of demographics and other known risk factors for SAMS. Results: Of the 23 patients who had a pathogenic or likely pathogenic RYR1 or CACNA1S variant found, 12 had previous statin use; of these, SAMS were identified in four patients. Conclusion: These data contribute to previous literature suggesting patients with RYR1 variants may have an increased SAMS risk. Additional research will be helpful in further investigating this relationship and providing recommendations.
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Affiliation(s)
- Natasha J Petry
- Department of Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57117, USA
- Department of Pharmacy Practice, North Dakota State University, Fargo, ND 58108, USA
| | - Amanda Massmann
- Department of Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57117, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD 57069, USA
| | - Megan Bell
- Department of Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57117, USA
- Department of Genetic Counseling, Augustana University, Sioux Falls, SD 57197, USA
| | - April Schultz
- Department of Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57117, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD 57069, USA
| | - Joel Van Heukelom
- Department of Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57117, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD 57069, USA
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Schwartz MLB, McDonald WS, Hallquist MLG, Hu Y, McCormick CZ, Walters NL, Tsun J, Zimmerman K, Decker A, Gray C, Malinowski J, Sturm AC, Buchanan AH. Genetics Visit Uptake Among Individuals Receiving Clinically Actionable Genomic Screening Results. JAMA Netw Open 2024; 7:e242388. [PMID: 38488794 PMCID: PMC10943406 DOI: 10.1001/jamanetworkopen.2024.2388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/23/2024] [Indexed: 03/18/2024] Open
Abstract
Importance Screening unselected populations for clinically actionable genetic disease risk can improve ascertainment and facilitate risk management. Genetics visits may encourage at-risk individuals to perform recommended management, but little has been reported on genetics visit completion or factors associated with completion in genomic screening programs. Objective To identify factors associated with postdisclosure genetics visits in a genomic screening cohort. Design, Setting, and Participants This was a cohort study of biobank data in a health care system in central Pennsylvania. Participants' exome sequence data were reviewed for pathogenic or likely pathogenic (P/LP) results in all genes on the American College of Medical Genetics and Genomics Secondary Findings list. Clinically confirmed results were disclosed by phone and letter. Participants included adult MyCode biobank participants who received P/LP results between July 2015 and November 2019. Data were analyzed from May 2021 to March 2022. Exposure Clinically confirmed P/LP result disclosed by phone or letter. Main Outcomes and Measures Completion of genetics visit in which the result was discussed and variables associated with completion were assessed by electronic health record (EHR) review. Results Among a total of 1160 participants (703 [60.6%] female; median [IQR] age, 57.0 [42.1-68.5] years), fewer than half of participants (551 of 1160 [47.5%]) completed a genetics visit. Younger age (odds ratio [OR] for age 18-40 years, 2.98; 95% CI, 1.40-6.53; OR for age 41-65 years, 2.36; 95% CI, 1.22-4.74; OR for age 66-80 years, 2.60; 95% CI, 1.41-4.98 vs age ≥81 years); female sex (OR, 1.49; 95% CI, 1.14-1.96); being married (OR, 1.74; 95% CI, 1.23-2.47) or divorced (OR, 1.80; 95% CI, 1.11-2.91); lower Charlson comorbidity index (OR for score of 0-2, 1.76; 95% CI, 1.16-2.68; OR for score of 3-4, 1.73; 95% CI, 1.18-2.54 vs score of ≥5); EHR patient portal use (OR, 1.42; 95% CI, 1.06-1.89); living closer to a genetics clinic (OR, 1.64; 95% CI, 1.14-2.36 for <8.9 miles vs >20.1 miles); successful results disclosure (OR for disclosure by genetic counselor, 16.32; 95% CI, 8.16-37.45; OR for disclosure by research assistant, 20.30; 95% CI, 10.25-46.31 vs unsuccessful phone disclosure); and having a hereditary cancer result (OR, 2.13; 95% CI, 1.28-3.58 vs other disease risk) were significantly associated with higher rates of genetics visit completion. Preference to follow up with primary care was the most common reported reason for declining a genetics visit (68 of 152 patients [44.7%]). Conclusions and Relevance This cohort study of a biobank-based population genomic screening program suggests that targeted patient engagement, improving multidisciplinary coordination, and reducing barriers to follow-up care may be necessary for enhancing genetics visit uptake.
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Affiliation(s)
- Marci L. B. Schwartz
- Department of Genomic Health, Geisinger, Danville, Pennsylvania
- Ted Rogers Centre for Heart Research, Cardiac Genome Clinic, Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | | | | | - Yirui Hu
- Department of Population Health Sciences, Geisinger, Danville, Pennsylvania
| | | | | | - Jessica Tsun
- Department of Genomic Health, Geisinger, Danville, Pennsylvania
| | | | - Amie Decker
- Department of Genomic Health, Geisinger, Danville, Pennsylvania
- University of Arkansas Medical Sciences, Little Rock
| | - Celia Gray
- Phenomics and Clinical Data Core, Geisinger, Danville, Pennsylvania
| | | | - Amy C. Sturm
- Department of Genomic Health, Geisinger, Danville, Pennsylvania
- 23andMe, Sunnyvale, California
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Van Heukelom J, Morgan J, Massmann A, Jacobsen K, Petry NJ, Baye JF, Frear S, Schultz A. Evolution of pharmacogenomic services and implementation of a multi-state pharmacogenomics clinic across a large rural healthcare system. Front Pharmacol 2023; 14:1274165. [PMID: 38035031 PMCID: PMC10682150 DOI: 10.3389/fphar.2023.1274165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction: Pharmacogenomics (PGx) aims to maximize drug benefits while minimizing risk of toxicity. Although PGx has proven beneficial in many settings, clinical uptake lags. Lack of clinician confidence and limited availability of PGx testing can deter patients from completing PGx testing. A few novel PGx clinic models have been described as a way to incorporate PGx testing into the standard of care. Background: A PGx clinic was implemented to fill an identified gap in provider availability, confidence, and utilization of PGx across our health system. Through a joint pharmacist and Advanced Practice Provider (APP) collaborative clinic, patients received counseling and PGx medication recommendations both before and after PGx testing. The clinic serves patients both in-person and virtually across four states in the upper Midwest. Results: The majority of patients seen in the PGx clinic during the early months were clinician referred (77%, n = 102) with the remainder being self-referred. Patients were, on average, taking two medications with Clinical Pharmacogenetics Implementation Consortium guidelines. Visits were split almost equally between in-person and virtual visits. Conclusion: Herein, we describe the successful implementation of an interdisciplinary PGx clinic to further enhance our PGx program. Throughout the implementation of the PGx clinic we have learned valuable lessons that may be of interest to other implementors. Clinicians were actively engaged in clinic referrals and early adoption of telemedicine was key to the clinic's early successes.
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Affiliation(s)
- Joel Van Heukelom
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, United States
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, United States
| | - Jennifer Morgan
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, United States
- Department of Medical Genetics, Sanford Health, Sioux Falls, SD, United States
| | - Amanda Massmann
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, United States
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, United States
| | - Kristen Jacobsen
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, United States
| | - Natasha J. Petry
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, United States
- Department of Pharmacy Practice, North Dakota State University, Fargo, ND, United States
| | - Jordan F. Baye
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, United States
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, United States
- Department of Pharmacy Practice, South Dakota State University College of Pharmacy and Allied Health Professions, Brookings, SD, United States
| | - Samantha Frear
- Translational Software, Inc., Mercer Island, WA, United States
| | - April Schultz
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD, United States
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, United States
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Fahim SM, Alexander CSW, Qian J, Ngorsuraches S, Hohmann NS, Lloyd KB, Reagan A, Hart L, McCormick N, Westrick SC. Current published evidence on barriers and proposed strategies for genetic testing implementation in health care settings: A scoping review. J Am Pharm Assoc (2003) 2023; 63:998-1016. [PMID: 37119989 DOI: 10.1016/j.japh.2023.04.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 04/20/2023] [Accepted: 04/22/2023] [Indexed: 05/01/2023]
Abstract
BACKGROUND The slow uptake of genetic testing in routine clinical practice warrants the attention of researchers and practitioners to find effective strategies to facilitate implementation. OBJECTIVES This study aimed to identify the barriers to and strategies for pharmacogenetic testing implementation in a health care setting from published literature. METHODS A scoping review was conducted in August 2021 with an expanded literature search using Ovid MEDLINE, Web of Science, International Pharmaceutical Abstract, and Google Scholar to identify studies reporting implementation of pharmacogenetic testing in a health care setting, from a health care system's perspective. Articles were screened using DistillerSR and findings were organized using the 5 major domains of Consolidated Framework for Implementation Research (CFIR). RESULTS A total of 3536 unique articles were retrieved from the above sources, with only 253 articles retained after title and abstract screening. Upon screening the full texts, 57 articles (representing 46 unique practice sites) were found matching the inclusion criteria. We found that most reported barriers and their associated strategies to the implementation of pharmacogenetic testing surrounded 2 CFIR domains: intervention characteristics and inner settings. Factors relating to cost and reimbursement were described as major barriers in the intervention characteristics. In the same domain, another major barrier was the lack of utility studies to provide evidence for genetic testing uptake. Technical hurdles, such as integrating genetic information to medical records, were identified as an inner settings barrier. Collaborations and lessons from early implementers could be useful strategies to overcome majority of the barriers across different health care settings. Strategies proposed by the included implementation studies to overcome these barriers are summarized and can be used as guidance in future. CONCLUSION Barriers and strategies identified in this scoping review can provide implementation guidance for practice sites that are interested in implementing genetic testing.
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Mills SC, Massmann A. Congruence rates for pharmacogenomic noninterruptive alerts. Pharmacogenomics 2023; 24:493-500. [PMID: 37435734 DOI: 10.2217/pgs-2023-0016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2023] Open
Abstract
Meaningful clinical decision support (CDS) recommendations are vital for implementation of pharmacogenomics (PGx) into routine clinical care. PGx CDS alerts include interruptive and noninterruptive alerts. The objective of this study was to evaluate provider ordering behavior after noninterruptive alerts are displayed. A retrospective manual chart review was conducted from the time of noninterruptive alert implementation to the time of data analysis to determine congruence with CDS recommendations. The congruence rate for noninterruptive alerts was 89.8% across all drug-gene interactions. The drug-gene interaction with the most alerts for analysis included metoclopramide (n = 138). The high rate of medication order congruence after noninterruptive alerts were deployed suggests this modality may be appropriate for PGx CDS as a method for best practice adherence.
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Affiliation(s)
- Sarah C Mills
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA
| | - Amanda Massmann
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD 57069, USA
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Massmann A, Van Heukelom J, Green RC, Hajek C, Hickingbotham MR, Larson EA, Lu CY, Wu AC, Zoltick ES, Christensen KD, Schultz A. SLCO1B1 gene-based clinical decision support reduces statin-associated muscle symptoms risk with simvastatin. Pharmacogenomics 2023; 24:399-409. [PMID: 37232094 PMCID: PMC10242433 DOI: 10.2217/pgs-2023-0056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 05/09/2023] [Indexed: 05/27/2023] Open
Abstract
Background: SLCO1B1 variants are known to be a strong predictor of statin-associated muscle symptoms (SAMS) risk with simvastatin. Methods: The authors conducted a retrospective chart review on 20,341 patients who had SLCO1B1 genotyping to quantify the uptake of clinical decision support (CDS) for genetic variants known to impact SAMS risk. Results: A total of 182 patients had 417 CDS alerts generated, and 150 of these patients (82.4%) received pharmacotherapy that did not increase risks for SAMS. Providers were more likely to cancel simvastatin orders in response to CDS alerts if genotyping had been done prior to the first simvastatin prescription than after (94.1% vs 28.5%, respectively; p < 0.001). Conclusion: CDS significantly reduces simvastatin prescribing at doses associated with SAMS.
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Affiliation(s)
- Amanda Massmann
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD 57069, USA
| | - Joel Van Heukelom
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD 57069, USA
| | - Robert C Green
- Department of Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, MA 02115, USA
- Ariadne Labs, Boston, MA 02215, USA
- Broad Institute of Harvard & MIT, Cambridge, MA 02142, USA
| | - Catherine Hajek
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA
- Helix OpCo, LLC, San Mateo, CA 94401, USA
| | - Madison R Hickingbotham
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Eric A Larson
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD 57069, USA
| | - Christine Y Lu
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
- Department of Population Medicine, Harvard Medical School, Boston, MA 02215, USA
| | - Ann Chen Wu
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
- Department of Population Medicine, Harvard Medical School, Boston, MA 02215, USA
| | - Emilie S Zoltick
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Kurt D Christensen
- Broad Institute of Harvard & MIT, Cambridge, MA 02142, USA
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
- Department of Population Medicine, Harvard Medical School, Boston, MA 02215, USA
| | - April Schultz
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD 57069, USA
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Heukelom JV, Jacobsen K, Petry NJ, Schultz A, Baye J, Sturdevant D, Massmann A. Patient satisfaction with return of pharmacogenomic results utilizing a patient portal message. Pharmacogenomics 2023; 24:315-323. [PMID: 37125619 PMCID: PMC10318570 DOI: 10.2217/pgs-2023-0032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 03/29/2023] [Indexed: 05/02/2023] Open
Abstract
Background: Returning pharmacogenomics (PGx) results to patients is complex and challenging. Patients prefer provider education; however, a gap in provider comfort in PGx results has been documented. Objectives: This study's purpose was to evaluate satisfaction with the return of PGx test results using a patient portal message. Methods: A survey was sent to two cohorts with PGx results, one that received a PGx result message and one that did not. Results: Following implementation of the PGx result message, there was a decrease in patients reporting negative responses surrounding satisfaction in the return of their PGx results, with 39% responding negatively pre-implementation and 21% post-implementation. Conclusion: Satisfaction with the return of results improved following the implementation of a patient portal message.
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Affiliation(s)
- Joel Van Heukelom
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA
- Sanford School of Medicine, University of South Dakota, Vermillion, SD 57069, USA
| | | | - Natasha J Petry
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA
- Department of Pharmacy Practice, North Dakota State University, Fargo, ND 58102, USA
| | - April Schultz
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA
- Sanford School of Medicine, University of South Dakota, Vermillion, SD 57069, USA
| | - Jordan Baye
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA
- Sanford School of Medicine, University of South Dakota, Vermillion, SD 57069, USA
- College of Pharmacy & Allied Health Professions, South Dakota State University, Brookings, SD 57007, USA
| | | | - Amanda Massmann
- Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA
- Sanford School of Medicine, University of South Dakota, Vermillion, SD 57069, USA
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22
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Petry NJ, Van Heukelom J, Baye JF, Massmann A. The effect of medication reconciliation on generating an accurate medication list in a pharmacogenomics practice. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:1259. [PMID: 36618791 PMCID: PMC9816821 DOI: 10.21037/atm-2022-63] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 10/31/2022] [Indexed: 11/18/2022]
Abstract
Background Medication reconciliation is recognized as a critically important medication safety element and a key initiative by multiple organizations. Within our precision medicine program, accurate medication lists are essential to our ability to make specific medication recommendations based on pharmacogenetic results. Our study aimed to identify discrepancies within the patient's medication list to improve medication management via genetic factors through a pharmacy team-based approach. Methods A dedicated team of pharmacists and trained student pharmacists conducted telephone interviews to complete medication reconciliation for individuals enrolled in our precision medicine preemptive screening program. Medication list discrepancies were tracked as well as if pharmacogenetic consults were altered by findings during the telephone interviews. Results Medication reconciliation was completed on 465 participants who had recently received or were awaiting pharmacogenetic testing. We found similar results to previously described rates of medication list discrepancies with an average of 4.9 medication discrepancies per patient as well as greater than 90% of individuals having at least one medication discrepancy. Pharmacogenetic recommendations for 20 individuals (4.3%) required adjustment following medication reconciliation. Conclusions This pilot program supports the value of a dedicated team for medication reconciliation and the importance of accurate medication lists to optimize precision medicine programs.
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Affiliation(s)
- Natasha J. Petry
- Sanford Health Imagenetics, Sioux Falls, SD, USA;,Department of Pharmacy Practice, North Dakota State University, Fargo, ND, USA
| | - Joel Van Heukelom
- Sanford Health Imagenetics, Sioux Falls, SD, USA;,Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
| | - Jordan F. Baye
- Sanford Health Imagenetics, Sioux Falls, SD, USA;,Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA;,College of Pharmacy and Allied Health Professions, South Dakota State University, Brookings, SD, USA
| | - Amanda Massmann
- Sanford Health Imagenetics, Sioux Falls, SD, USA;,Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
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23
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Roberts MC, Foss KS, Henderson GE, Powell SN, Saylor KW, Weck KE, Milko LV. Public Interest in Population Genetic Screening for Cancer Risk. Front Genet 2022; 13:886640. [PMID: 35938028 PMCID: PMC9354961 DOI: 10.3389/fgene.2022.886640] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 06/06/2022] [Indexed: 01/04/2023] Open
Abstract
An emerging role for DNA sequencing is to identify people at risk for an inherited cancer syndrome in order to prevent or ameliorate the manifestation of symptoms. Two cancer syndromes, Hereditary Breast and Ovarian Cancer and Lynch Syndrome meet the "Tier 1" evidence threshold established by the Centers for Disease Control and Prevention (CDC) for routine testing of patients with a personal or family history of cancer. Advancements in genomic medicine have accelerated public health pilot programs for these highly medically actionable conditions. In this brief report, we provide descriptive statistics from a survey of 746 US respondents from a Qualtrics panel about the public's awareness of genetic testing, interest in learning about their cancer risk, and likelihood of participating in a population genetic screening (PGS) test. Approximately of half the respondents were aware of genetic testing for inherited cancer risk (n = 377/745, 50.6%) and would choose to learn about their cancer risk (n-309/635, 48.7%). Characteristics of those interested in learning about their cancer risk differed by educational attainment, age, income, insurance status, having a primary care doctor, being aware of genetic testing, and likelihood of sharing information with family (p < 0.05). A sizeable majority of the respondents who were interested in about learning their cancer risk also said that they were likely to participate in a PGS test that involved a clinical appointment and blood draw, but no out-of-pocket cost (n = 255/309, 82.5%). Reasons for not wanting to participate included not finding test results interesting or important, concerns about costs, and feeling afraid to know the results. Overall, our results suggest that engaging and educating the general population about the benefits of learning about an inherited cancer predisposition may be an important strategy to address recruitment barriers to PGS.
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Affiliation(s)
- Megan C. Roberts
- Division of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, Chapel Hill, NC, United States
| | - Kimberly S. Foss
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Gail E. Henderson
- Department of Social Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Sabrina N. Powell
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Katherine W. Saylor
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Karen E. Weck
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Laura V. Milko
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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24
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Slomp C, Morris E, Price M, Elliott AM, Austin J. The stepwise process of integrating a genetic counsellor into primary care. Eur J Hum Genet 2022; 30:772-781. [PMID: 35095102 PMCID: PMC8801315 DOI: 10.1038/s41431-022-01040-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 12/14/2021] [Accepted: 01/04/2022] [Indexed: 11/09/2022] Open
Abstract
Genetic services have historically been housed in tertiary care, requiring referral, which can present access barriers. While integrating genetics into primary care could facilitate access, many primary care physicians lack genomics expertise. Integrating genetic counsellors (GCs) into primary care could theoretically address these issues, but little is known about how to do this effectively. To understand and describe the process of integrating a GC into a multidisciplinary primary care setting, we qualitatively explored the perceptions, attitudes and reactions of existing team members prior to, and after the introduction of a GC. Semi-structured interviews were conducted immediately prior to (T1), and 9 months after (T2), the GC joining the clinic. Interviews were recorded, transcribed verbatim and analyzed concurrently with data collection using interpretive description. Twenty-four interviews were conducted with 17 participants (13 at T1, 11 at T2). Participants described several distinct, progressive stages of interaction with the GC: Disinterest or Resistance, Pre-Collaboration, Initial Collaboration, and Effective Collaboration/Integration of the GC into the team. At each stage, specific needs had to be met in order to advance to the next stage of collaboration. A variety of barriers and facilitators attended movement between different stages of the model. The Stepwise Process of Integration Model describes the process through which primary care staff and clinicians integrate a GC into their practice. The insight provided by this model could be used to facilitate more effective integration of GCs into other primary care settings.
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Affiliation(s)
- Caitlin Slomp
- grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, BC Canada
| | - Emily Morris
- grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, BC Canada
| | | | - Morgan Price
- grid.17091.3e0000 0001 2288 9830Department of Family Practice, University of British Columbia, Vancouver, BC Canada
| | - Alison M. Elliott
- grid.17091.3e0000 0001 2288 9830Department of Medical Genetics, University of British Columbia, Vancouver, BC Canada
| | - Jehannine Austin
- grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, BC Canada ,grid.17091.3e0000 0001 2288 9830Department of Medical Genetics, University of British Columbia, Vancouver, BC Canada
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25
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Wildin RS, Giummo CA, Reiter AW, Peterson TC, Leonard DGB. Primary Care Implementation of Genomic Population Health Screening Using a Large Gene Sequencing Panel. Front Genet 2022; 13:867334. [PMID: 35547253 PMCID: PMC9081681 DOI: 10.3389/fgene.2022.867334] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/21/2022] [Indexed: 11/17/2022] Open
Abstract
To realize the promise of genomic medicine, harness the power of genomic technologies, and capitalize on the extraordinary pace of research linking genomic variation to disease risks, healthcare systems must embrace and integrate genomics into routine healthcare. We have implemented an innovative pilot program for genomic population health screening for any-health-status adults within the largest health system in Vermont, United States. This program draws on key research and technological advances to safely extract clinical value for genomics in routine health care. The program offers no-cost, non-research DNA sequencing to patients by their primary care providers as a preventive health tool. We partnered with a commercial clinical testing company for two next generation sequencing gene panels comprising 431 genes related to both high and low-penetrance common health risks and carrier status for recessive disorders. Only pathogenic or likely pathogenic variants are reported. Routine written clinical consultation is provided with a concise, clinical “action plan” that presents core messages for primary care provider and patient use and supports clinical management and health education beyond the testing laboratory’s reports. Access to genetic counseling is free in most cases. Predefined care pathways and access to genetics experts facilitates the appropriate use of results. This pilot tests the feasibility of routine, ethical, and scalable use of population genomic screening in healthcare despite generally imperfect genomic competency among both the public and health care providers. This article describes the program design, implementation process, guiding philosophies, and insights from 2 years of experience offering testing and returning results in primary care settings. To aid others planning similar programs, we review our barriers, solutions, and perceived gaps in the context of an implementation research framework.
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Affiliation(s)
- Robert S Wildin
- Department of Pathology & Laboratory Medicine, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States.,Department of Pediatrics, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States
| | - Christine A Giummo
- Department of Pathology & Laboratory Medicine, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States.,Department of Pediatrics, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States
| | - Aaron W Reiter
- Department of Family Medicine, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States
| | - Thomas C Peterson
- Department of Family Medicine, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States
| | - Debra G B Leonard
- Department of Pathology & Laboratory Medicine, University of Vermont Health Network and Robert Larner M.D. College of Medicine at the University of Vermont, Burlington, VT, United States
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26
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Formea CM, Schultz AJ, Empey PE. Pharmacists Closing Health Disparity Gaps through Pharmacogenomics. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2022. [DOI: 10.1002/jac5.1629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Christine M. Formea
- Intermountain Healthcare, Department of Pharmacy Services Salt Lake City Utah
- Intermountain Precision Genomics, Intermountain Healthcare St. George Utah
| | - April J. Schultz
- Sanford Imagenetics, Sanford Health Sioux Falls South Dakota
- Sanford USD School of Medicine University of South Dakota Sioux Falls South Dakota
| | - Philip E. Empey
- School of Pharmacy University of Pittsburgh Pittsburgh Pennsylvania
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27
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Murray MF. Enabling Diagnostic Resulting as a New Category of Secondary Genomic Findings. J Pers Med 2022; 12:jpm12020158. [PMID: 35207647 PMCID: PMC8878546 DOI: 10.3390/jpm12020158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 12/19/2021] [Accepted: 12/30/2021] [Indexed: 02/01/2023] Open
Abstract
Over the past decade, the secondary analysis of existing DNA datasets for clinical resulting has become an established practice. However, this established practice is typically limited to only one category of secondary genomic findings, the identification of “disease risk”. Diagnostic resulting has been left out of secondary genomic findings. In medical practice, diagnostic resulting is triggered when a test is ordered for a patient based on a recognizable clinical indication for evaluation; most genetic and genomic testing is carried out in support of diagnostic evaluations. The secondary analysis of existing DNA data has the potential to cost less and have more rapid turnaround times for diagnostic results compared to current DNA diagnostic approaches that typically generate a new dataset with every test ordered. Worldwide, innovative health systems could position themselves to deliver valid secondary genomic finding results in both the established category of disease risk results, as well as a new category of diagnostic results. To support the ongoing delivery of both categories of secondary findings, health systems will need comprehensive genomic datasets for patients and secure workflows that allow for repeated access to that data for on-demand secondary analysis.
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Affiliation(s)
- Michael F Murray
- Yale Center for Genomic Health, Yale School of Medicine, New Haven, CT 06510, USA
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28
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Zubiaur P, Mejía-Abril G, Navares-Gómez M, Villapalos-García G, Soria-Chacartegui P, Saiz-Rodríguez M, Ochoa D, Abad-Santos F. PriME-PGx: La Princesa University Hospital Multidisciplinary Initiative for the Implementation of Pharmacogenetics. J Clin Med 2021; 10:jcm10173772. [PMID: 34501219 PMCID: PMC8432257 DOI: 10.3390/jcm10173772] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 08/15/2021] [Accepted: 08/19/2021] [Indexed: 12/18/2022] Open
Abstract
The implementation of clinical pharmacogenetics in daily practice is limited for various reasons. Today, however, it is a discipline in full expansion. Accordingly, in the recent times, several initiatives promoted its implementation, mainly in the United States but also in Europe. In this document, the genotyping results since the establishment of our Pharmacogenetics Unit in 2006 are described, as well as the historical implementation process that was carried out since then. Finally, this progress justified the constitution of La Princesa University Hospital Multidisciplinary Initiative for the Implementation of Pharmacogenetics (PriME-PGx), promoted by the Clinical Pharmacology Department of Hospital Universitario de La Princesa (Madrid, Spain). Here, we present the initiative along with the two first ongoing projects: the PROFILE project, which promotes modernization of pharmacogenetic reporting (i.e., from classic gene-drug pair reporting to complete pharmacogenetic reporting or the creation of pharmacogenetic profiles specific to the Hospital’s departments) and the GENOTRIAL project, which promotes the communication of relevant pharmacogenetic findings to any healthy volunteer participating in any bioequivalence clinical trial at the Clinical Trials Unit of Hospital Universitario de La Princesa (UECHUP).
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Affiliation(s)
- Pablo Zubiaur
- Clinical Pharmacology Department, La Princesa University Hospital, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28029 Madrid, Spain; (G.M.-A.); (M.N.-G.); (G.V.-G.); (P.S.-C.); (D.O.)
- UICEC Hospital Universitario de La Princesa, Plataforma SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), 28006 Madrid, Spain
- Correspondence: (P.Z.); (F.A.-S.); Tel.: +34-915-202-425 (P.Z. & F.A.-S.); Fax: +34-915-202-540 (P.Z. & F.A.-S.)
| | - Gina Mejía-Abril
- Clinical Pharmacology Department, La Princesa University Hospital, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28029 Madrid, Spain; (G.M.-A.); (M.N.-G.); (G.V.-G.); (P.S.-C.); (D.O.)
- UICEC Hospital Universitario de La Princesa, Plataforma SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), 28006 Madrid, Spain
| | - Marcos Navares-Gómez
- Clinical Pharmacology Department, La Princesa University Hospital, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28029 Madrid, Spain; (G.M.-A.); (M.N.-G.); (G.V.-G.); (P.S.-C.); (D.O.)
| | - Gonzalo Villapalos-García
- Clinical Pharmacology Department, La Princesa University Hospital, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28029 Madrid, Spain; (G.M.-A.); (M.N.-G.); (G.V.-G.); (P.S.-C.); (D.O.)
| | - Paula Soria-Chacartegui
- Clinical Pharmacology Department, La Princesa University Hospital, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28029 Madrid, Spain; (G.M.-A.); (M.N.-G.); (G.V.-G.); (P.S.-C.); (D.O.)
| | - Miriam Saiz-Rodríguez
- Research Unit, Fundación Burgos por la Investigación de la Salud (FBIS), Hospital Universitario de Burgos, 09006 Burgos, Spain;
| | - Dolores Ochoa
- Clinical Pharmacology Department, La Princesa University Hospital, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28029 Madrid, Spain; (G.M.-A.); (M.N.-G.); (G.V.-G.); (P.S.-C.); (D.O.)
- UICEC Hospital Universitario de La Princesa, Plataforma SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), 28006 Madrid, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, La Princesa University Hospital, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28029 Madrid, Spain; (G.M.-A.); (M.N.-G.); (G.V.-G.); (P.S.-C.); (D.O.)
- UICEC Hospital Universitario de La Princesa, Plataforma SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), 28006 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28200 Madrid, Spain
- Correspondence: (P.Z.); (F.A.-S.); Tel.: +34-915-202-425 (P.Z. & F.A.-S.); Fax: +34-915-202-540 (P.Z. & F.A.-S.)
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29
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Bishop JR, Huang RS, Brown JT, Mroz P, Johnson SG, Allen JD, Bielinski SJ, England J, Farley JF, Gregornik D, Giri J, Kroger C, Long SE, Luczak T, McGonagle EJ, Ma S, Matey ET, Mandic PK, Moyer AM, Nicholson WT, Petry N, Pawloski PA, Schlichte A, Schondelmeyer SW, Seifert RD, Speedie MK, Stenehjem D, Straka RJ, Wachtl J, Waring SC, Ness BV, Zierhut HA, Aliferis C, Wolf SM, McCarty CA, Jacobson PA. Pharmacogenomics education, research and clinical implementation in the state of Minnesota. Pharmacogenomics 2021; 22:681-691. [PMID: 34137665 DOI: 10.2217/pgs-2021-0058] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Several healthcare organizations across Minnesota have developed formal pharmacogenomic (PGx) clinical programs to increase drug safety and effectiveness. Healthcare professional and student education is strong and there are multiple opportunities in the state for learners to gain workforce skills and develop advanced competency in PGx. Implementation planning is occurring at several organizations and others have incorporated structured utilization of PGx into routine workflows. Laboratory-based and translational PGx research in Minnesota has driven important discoveries in several therapeutic areas. This article reviews the state of PGx activities in Minnesota including educational programs, research, national consortia involvement, technology, clinical implementation and utilization and reimbursement, and outlines the challenges and opportunities in equitable implementation of these advances.
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Affiliation(s)
- Jeffrey R Bishop
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA.,Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - R Stephanie Huang
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
| | - Jacob T Brown
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota College of Pharmacy, Duluth, MN 55812, USA
| | - Pawel Mroz
- Department of Laboratory Medicine & Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Steven G Johnson
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Josiah D Allen
- University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA.,Medigenics Consulting LLC, Minneapolis, MN 55407, USA
| | - Suzette J Bielinski
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Joel F Farley
- Department of Pharmaceutical Care & Health Systems, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
| | - David Gregornik
- Pharmacogenomics Program, Children's Minnesota, Minneapolis, MN 55407, USA
| | - Jyothsna Giri
- Mayo Clinic Center for Individualized Medicine, Mayo Clinic College of Medicine & Science, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Susie E Long
- MHealth Fairview. Acute Care Pharmacy Services, Minneapolis, MN 55455, USA
| | - Tiana Luczak
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota College of Pharmacy, Duluth, MN 55812, USA.,Essentia Health, Duluth, MN 55805, USA
| | - Erin J McGonagle
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
| | - Sisi Ma
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Eric T Matey
- Department of Pharmacy, Mayo Clinic College of Medicine & Science, Mayo Clinic, Rochester, MN 55905, USA
| | - Pinar K Mandic
- Department of Finance, University of Minnesota Carlson School of Management, Minneapolis, MN 55455, USA
| | - Ann M Moyer
- Department of Laboratory Medicine & Pathology, Mayo Clinic College of Medicine & Science, Mayo Clinic, Rochester, MN 55905, USA
| | - Wayne T Nicholson
- Department of Anesthesiology & Perioperative Medicine, Mayo Clinic College of Medicine & Science, Mayo Clinic, Rochester, MN 55905, USA
| | - Natasha Petry
- Sanford Health Imagenetics, Sioux Falls, SD 57105, USA.,Department of Pharmacy Practice, North Dakota State University College of Health Professions, Fargo, ND 58108, USA
| | | | | | - Stephen W Schondelmeyer
- Department of Pharmaceutical Care & Health Systems, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
| | - Randall D Seifert
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota College of Pharmacy, Duluth, MN 55812, USA
| | - Marilyn K Speedie
- Department of Medicinal Chemistry, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
| | - David Stenehjem
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota College of Pharmacy, Duluth, MN 55812, USA
| | - Robert J Straka
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
| | - Jason Wachtl
- Geritom Medical, Inc, Bloomington, MN 55438, USA
| | | | - Brian Van Ness
- Department of Genetics, Cell Biology & Development, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Heather A Zierhut
- Department of Genetics, Cell Biology & Development, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Constantin Aliferis
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Susan M Wolf
- Law School, Medical School, Consortium on Law & Values in Health, Environment & the Life Sciences, University of Minnesota, Minneapolis, MN 55455, USA
| | - Catherine A McCarty
- Department of Family Medicine & Biobehavioral Health, University of Minnesota Medical School, Duluth, MN 55812, USA
| | - Pamala A Jacobson
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
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