1
|
Hashimi SR, Babatunde O, Alrajeh K, Dixon RJ, Okpeku A, Price ET. Pharmacogenomics in Clinical Practice for Older People. Sr Care Pharm 2024; 39:132-136. [PMID: 38528338 DOI: 10.4140/tcp.n.2024.132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Older people are over-represented among individuals that experience adverse drug reactions (ADR) and adverse drug events (ADE). Furthermore, older people are over-represented among individuals that visit emergency departments and are hospitalized because of ADRs. Moreover, older people are overrepresented among those who suffer ADEs while hospitalized. Finally, older people are among those most likely to have an anaphylactic response to prescription medications. Therefore, older people are prime candidates for efforts aimed at optimizing pharmacotherapeutic outcomes. Pharmacogenomics is an approach of using genetic data to optimize pharmacotherapeutic outcomes. Over the last two decades, pharmacogenomics grew from research initiatives into the current environment of pharmacogenomics implementation. Specifically, implementing pharmacogenomics into clinical settings or within health care systems has proven beneficial in optimizing pharmacotherapeutic outcomes. Therefore, pharmacists focused on optimizing pharmacotherapeutic outcomes for older people should be aware of the approaches to and resources available for implementing pharmacogenomics. KEY WORDS: Drug labeling biomarkers, Genes, Older adults, Pharmacogenomics.
Collapse
Affiliation(s)
- Syeda R Hashimi
- 1 Virginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy and Outcomes Science
| | - Olajumoke Babatunde
- 1 Virginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy and Outcomes Science
| | - Khalifa Alrajeh
- 1 Virginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy and Outcomes Science
| | - Richard J Dixon
- 1 Virginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy and Outcomes Science
| | - Aimalohi Okpeku
- 1 Virginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy and Outcomes Science
| | - Elvin T Price
- 1 Virginia Commonwealth University, School of Pharmacy, Department of Pharmacotherapy and Outcomes Science
| |
Collapse
|
2
|
Su J, Yang L, Sun Z, Zhan X. Personalized Drug Therapy: Innovative Concept Guided With Proteoformics. Mol Cell Proteomics 2024; 23:100737. [PMID: 38354979 PMCID: PMC10950891 DOI: 10.1016/j.mcpro.2024.100737] [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: 12/05/2023] [Revised: 01/29/2024] [Accepted: 02/09/2024] [Indexed: 02/16/2024] Open
Abstract
Personalized medicine can reduce adverse effects, enhance drug efficacy, and optimize treatment outcomes, which represents the essence of personalized medicine in the pharmacy field. Protein drugs are crucial in the field of personalized drug therapy and are currently the mainstay, which possess higher target specificity and biological activity than small-molecule chemical drugs, making them efficient in regulating disease-related biological processes, and have significant potential in the development of personalized drugs. Currently, protein drugs are designed and developed for specific protein targets based on patient-specific protein data. However, due to the rapid development of two-dimensional gel electrophoresis and mass spectrometry, it is now widely recognized that a canonical protein actually includes multiple proteoforms, and the differences between these proteoforms will result in varying responses to drugs. The variation in the effects of different proteoforms can be significant and the impact can even alter the intended benefit of a drug, potentially making it harmful instead of lifesaving. As a result, we propose that protein drugs should shift from being targeted through the lens of protein (proteomics) to being targeted through the lens of proteoform (proteoformics). This will enable the development of personalized protein drugs that are better equipped to meet patients' specific needs and disease characteristics. With further development in the field of proteoformics, individualized drug therapy, especially personalized protein drugs aimed at proteoforms as a drug target, will improve the understanding of disease mechanisms, discovery of new drug targets and signaling pathways, provide a theoretical basis for the development of new drugs, aid doctors in conducting health risk assessments and making more cost-effective targeted prevention strategies conducted by artificial intelligence/machine learning, promote technological innovation, and provide more convenient treatment tailored to individualized patient profile, which will benefit the affected individuals and society at large.
Collapse
Affiliation(s)
- Junwen Su
- Medical Science and Technology Innovation Center, Shandong Provincial Key Medical and Health Laboratory of Ovarian Cancer Multiomics, & Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Lamei Yang
- Medical Science and Technology Innovation Center, Shandong Provincial Key Medical and Health Laboratory of Ovarian Cancer Multiomics, & Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Ziran Sun
- Medical Science and Technology Innovation Center, Shandong Provincial Key Medical and Health Laboratory of Ovarian Cancer Multiomics, & Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Xianquan Zhan
- Medical Science and Technology Innovation Center, Shandong Provincial Key Medical and Health Laboratory of Ovarian Cancer Multiomics, & Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China.
| |
Collapse
|
3
|
Pereira L, Haidar CE, Haga SB, Cisler AG, Hall A, Shukla SK, Hebbring SJ, Leary EJW. Assessment of the current status of real-world pharmacogenomic testing: informed consent, patient education, and related practices. Front Pharmacol 2024; 15:1355412. [PMID: 38410134 PMCID: PMC10895424 DOI: 10.3389/fphar.2024.1355412] [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: 12/13/2023] [Accepted: 01/24/2024] [Indexed: 02/28/2024] Open
Abstract
Introduction: The practice of informed consent (IC) for pharmacogenomic testing in clinical settings varies, and there is currently no consensus on which elements of IC to provide to patients. This study aims to assess current IC practices for pharmacogenomic testing. Methods: An online survey was developed and sent to health providers at institutions that offer clinical germline pharmacogenomic testing to assess current IC practices. Results: Forty-six completed surveys representing 43 clinical institutions offering pharmacogenomic testing were received. Thirty-two (74%) respondents obtain IC from patients with variability in elements incorporated. Results revealed that twenty-nine (67%) institutions discuss the benefits, description, and purpose of pharmacogenomic testing with patients. Less commonly discussed elements included methodology and accuracy of testing, and laboratory storage of samples. Discussion: IC practices varied widely among survey respondents. Most respondents desire the establishment of consensus IC recommendations from a trusted pharmacogenomics organization to help address these disparities.
Collapse
Affiliation(s)
- Lucas Pereira
- Marshfield Clinic Research Institute, Center for Precision Medicine Research, Marshfield Clinic Health Systems, Marshfield, WI, United States
- Division of Genetics and Metabolism, Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Cyrine-Eliana Haidar
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, United States
| | - Susanne B Haga
- Program in Precision Medicine, Department of Medicine, School of Medicine, Duke University, Durham, NC, United States
| | - Anna G Cisler
- Medical Genetics, Marshfield Clinic Health Systems, Marshfield, WI, United States
| | - April Hall
- Division of Genetics and Metabolism, Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
- Center for Human Genomics and Precision Medicine, Wisconsin Institute for Medical Research, University of Wisconsin-Madison, Madison, WI, United States
| | - Sanjay K Shukla
- Marshfield Clinic Research Institute, Center for Precision Medicine Research, Marshfield Clinic Health Systems, Marshfield, WI, United States
| | - Scott J Hebbring
- Marshfield Clinic Research Institute, Center for Precision Medicine Research, Marshfield Clinic Health Systems, Marshfield, WI, United States
| | - Emili J W Leary
- Marshfield Clinic Research Institute, Center for Precision Medicine Research, Marshfield Clinic Health Systems, Marshfield, WI, United States
| |
Collapse
|
4
|
Moxham R, Tjokrowidjaja A, Devery S, Smyth R, McLean A, Roberts DM, Wu KHC. Clinical utilities and end-user experience of pharmacogenomics: 39 mo of clinical implementation experience in an Australian hospital setting. World J Med Genet 2023; 11:39-50. [DOI: 10.5496/wjmg.v11.i4.39] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 11/06/2023] [Accepted: 11/30/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Pharmacogenomics (PG) testing is under-utilised in Australia. Our research provides Australia-specific data on the perspectives of patients who have had PG testing and those of the clinicians involved in their care, with the aim to inform wider adoption of PG into routine clinical practice.
AIM To investigate the frequency of actionable drug gene interactions and assess the perceived utility of PG among patients and clinicians.
METHODS We conducted a retrospective audit of PG undertaken by 100 patients at an Australian public hospital genetics service from 2018 to 2021. Via electronic surveys we compared and contrasted the experience, understanding and usage of results between these patients and their clinicians.
RESULTS Of 100 patients who had PG, 84% were taking prescription medications, of which 67% were taking medications with actionable drug-gene interactions. Twenty-five out of 81 invited patients and 17 out of 89 invited clinicians completed the surveys. Sixty-eight percent of patients understood their PG results and 48% had medications changed following testing. Paired patient-clinician surveys showed patient-perceived utility and experience was positive, contrasting their clinicians’ hesitancy on PG adoption who identified insufficient education/training, lack of clinical support, test turnaround time and cost as barriers to adoption.
CONCLUSION Our dichotomous findings between the perspectives of our patient and clinician cohorts suggest the uptake of PG is likely to be driven by patients and clinicians need to be prepared to provide information and guidance to their patients.
Collapse
Affiliation(s)
- Rosalind Moxham
- Clinical Genomics, St Vincent's Hospital, NSW, Sydney 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, NSW, Sydney 2031, Australia
| | - Andrew Tjokrowidjaja
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, NSW, Sydney 2031, Australia
| | - Sophie Devery
- Clinical Genomics, St Vincent's Hospital, NSW, Sydney 2010, Australia
| | - Renee Smyth
- Clinical Genomics, St Vincent's Hospital, NSW, Sydney 2010, Australia
| | - Alison McLean
- Clinical Genomics, St Vincent's Hospital, NSW, Sydney 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, NSW, Sydney 2031, Australia
| | - Darren M Roberts
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, NSW, Sydney 2031, Australia
- Clinical Pharmacology, Drug Health Services, Royal Prince Alfred Hospital, NSW, Sydney 2050, Australia
| | - Kathy H C Wu
- Clinical Genomics, St Vincent's Hospital, NSW, Sydney 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, NSW, Sydney 2031, Australia
- School of Medicine, University of Notre Dame Australia, NSW, Sydney 2010, Australia
- Discipline of Genetic Medicine, University of Sydney, NSW, Sydney 2006, Australia
| |
Collapse
|
5
|
David SP, Dunnenberger HM, Choi S, DePersia A, Ilbawi N, Ward C, Wake DT, Khandekar JD, Shannon Y, Hughes K, Miller N, Mangold KA, Sabatini LM, Helseth DL, Xu J, Sanders A, Kaul KL, Hulick PJ. Personalized medicine in a community health system: the NorthShore experience. Front Genet 2023; 14:1308738. [PMID: 38090148 PMCID: PMC10713750 DOI: 10.3389/fgene.2023.1308738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 11/06/2023] [Indexed: 02/01/2024] Open
Abstract
Genomic and personalized medicine implementation efforts have largely centered on specialty care in tertiary health systems. There are few examples of fully integrated care systems that span the healthcare continuum. In 2014, NorthShore University HealthSystem launched the Center for Personalized Medicine to catalyze the delivery of personalized medicine. Successful implementation required the development of a scalable family history collection tool, the Genetic and Wellness Assessment (GWA) and Breast Health Assessment (BHA) tools; integrated pharmacogenomics programming; educational programming; electronic medical record integration; and robust clinical decision support tools. To date, more than 225,000 patients have been screened for increased hereditary conditions, such as cancer risk, through these tools in primary care. More than 35,000 patients completed clinical genetic testing following GWA or BHA completion. An innovative program trained more than 100 primary care providers in genomic medicine, activated with clinical decision support and access to patient genetic counseling services and digital healthcare tools. The development of a novel bioinformatics platform (FLYPE) enabled the incorporation of genomics data into electronic medical records. To date, over 4,000 patients have been identified to have a pathogenic or likely pathogenic variant in a gene with medical management implications. Over 33,000 patients have clinical pharmacogenomics data incorporated into the electronic health record supported by clinical decision support tools. This manuscript describes the evolution, strategy, and successful multispecialty partnerships aligned with health system leadership that enabled the implementation of a comprehensive personalized medicine program with measurable patient outcomes through a genomics-enabled learning health system model that utilizes implementation science frameworks.
Collapse
Affiliation(s)
- Sean P. David
- Department of Family Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Family Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Outcomes Research Network, NorthShore University HealthSystem, Evanston, IL, United States
| | - Henry M. Dunnenberger
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Sarah Choi
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Allison DePersia
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Outcomes Research Network, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Nadim Ilbawi
- Department of Family Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Family Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Christopher Ward
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Dyson T. Wake
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Janardan D. Khandekar
- Department of Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Kellogg Cancer Center, NorthShore University HealthSystem, Evanston, IL, United States
| | - Yvette Shannon
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Kristen Hughes
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Nicholas Miller
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Kathy A. Mangold
- Department of Pathology, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Linda M. Sabatini
- Department of Pathology, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Donald L. Helseth
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Jianfeng Xu
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
| | - Alan Sanders
- Center for Psychiatric Genetics, Department of Psychiatry and Behavioral Sciences, NorthShore University HealthSystem, Evanston, IL, United States
- Departments of Psychiatry and Behavioral Neuroscience, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Karen L. Kaul
- Outcomes Research Network, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Pathology, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
- Department of Pathology, NorthShore University HealthSystem, Evanston, IL, United States
| | - Peter J. Hulick
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Outcomes Research Network, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Medicine, NorthShore University HealthSystem, Evanston, IL, United States
- Department of Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| |
Collapse
|
6
|
Mitaly S, Wright J, El Melik R, Matey E. Pharmacists' role in supporting the return of over 10,000 preemptive pharmacogenomics results: The Mayo Clinic experience. Am J Health Syst Pharm 2023; 80:1733-1742. [PMID: 37478473 DOI: 10.1093/ajhp/zxad159] [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] [Indexed: 07/23/2023] Open
Abstract
PURPOSE To develop a pharmacist-driven, exploratory pharmacogenomics implementation model with the goal of creating a process for pharmacists to interpret pharmacogenomics results from RIGHT 10K Study samples and provide electronic consults to providers. SUMMARY A train-the-trainer model program was initiated whereby pharmacogenomics pharmacists developed a documentation template and a quick reference guide as a standard guide to train other pharmacists. Pharmacists completed electronic consults (e-consults) reviewing pharmacogenomics results, with reference to drug-gene interactions, for patients with "semi-urgent" and "clinically actionable" results, defined as those indicating a potential for gene-drug interactions to cause major harm and those indicating a potential for an adverse drug reaction or reduced efficacy, respectively. Outcomes measured included the number of consults over time, number and role of pharmacists involved, average time to complete e-consults over time, and gene-drug pairs for semi-urgent consults per month. A total of 395 pharmacists were trained. The total number of e-consults completed was 2,843: 61 semi-urgent and 2,782 clinically actionable consults. The average time spent per consult was 24 minutes, and the average number of e-consults per pharmacist was 7. CYP2C19-clopidogrel was the most common gene-drug pair targeted in semi-urgent consults. CONCLUSION Pharmacy leaders planning to implement similar pharmacogenomics programs can utilize this data to estimate hiring needs for future pharmacogenomics implementation, while also considering the potential additional cost of developing resources.
Collapse
Affiliation(s)
- Serena Mitaly
- Department of Pharmacy, Mayo Clinic, Rochester, MN, USA
| | | | | | - Eric Matey
- Department of Pharmacy, Mayo Clinic, Rochester, MN, USA
| |
Collapse
|
7
|
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.
Collapse
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
| |
Collapse
|
8
|
Shue SA, Rowe E, Bell LA, Damush T, DeLong A, Gowan T, Skaar T, Haggstrom D. Pharmacogenomics implementation across multiple clinic settings: a qualitative evaluation. Pharmacogenomics 2023; 24:881-893. [PMID: 37975236 DOI: 10.2217/pgs-2023-0179] [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] [Indexed: 11/19/2023] Open
Abstract
Aim: To advance clinical adoption and implementation of pharmacogenomics (PGx) testing, barriers and facilitators to these efforts must be understood. This study identified and examined barriers and facilitators to active implementation of a PGx program across multiple clinic settings in an academic healthcare system. Materials & methods: 28 contributors to the PGx implementation (e.g., clinical providers, informatics specialists) completed an interview to elicit their perceptions of the implementation. Results: Qualitative analysis identified several barriers and facilitators that spanned different stages of the implementation process. Specifically, unclear test payment mechanisms, decision support tool development, rigid workflows and provider education were noted as barriers to the PGx implementation. A multidisciplinary implementation team and leadership support emerged as key facilitators. Furthermore, participants also suggested strategies to overcome or maintain these factors. Conclusion: Assessing real-world implementation perceptions and suggested strategies from a range of implementation contributors facilitates a more comprehensive framework and best-practice guidelines for PGx implementation.
Collapse
Affiliation(s)
- Sarah A Shue
- VA HSR&D Center for Health Information & Communication, Roudebush VA Medical Center, Indianapolis, IN 46202, USA
| | - Elizabeth Rowe
- Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Lauren A Bell
- Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Teresa Damush
- VA HSR&D Center for Health Information & Communication, Roudebush VA Medical Center, Indianapolis, IN 46202, USA
- Division of General Internal Medicine & Geriatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Center for Health Services Research, Regenstrief Institute, Indianapolis, IN 46202, USA
| | - Alexis DeLong
- Center for Health Services Research, Regenstrief Institute, Indianapolis, IN 46202, USA
| | - Tayler Gowan
- Center for Health Services Research, Regenstrief Institute, Indianapolis, IN 46202, USA
| | - Todd Skaar
- Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - David Haggstrom
- VA HSR&D Center for Health Information & Communication, Roudebush VA Medical Center, Indianapolis, IN 46202, USA
- Division of General Internal Medicine & Geriatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Center for Health Services Research, Regenstrief Institute, Indianapolis, IN 46202, USA
| |
Collapse
|
9
|
Haga SB. The Critical Role of Pharmacists in the Clinical Delivery of Pharmacogenetics in the U.S. PHARMACY 2023; 11:144. [PMID: 37736916 PMCID: PMC10514841 DOI: 10.3390/pharmacy11050144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/05/2023] [Accepted: 09/05/2023] [Indexed: 09/23/2023] Open
Abstract
Since the rebirth of pharmacogenomics (PGx) in the 1990s and 2000s, with new discoveries of genetic variation underlying adverse drug response and new analytical technologies such as sequencing and microarrays, there has been much interest in the clinical application of PGx testing. The early involvement of pharmacists in clinical studies and the establishment of organizations to support the dissemination of information about PGx variants have naturally resulted in leaders in clinical implementation. This paper presents an overview of the evolving role of pharmacists, and discusses potential challenges and future paths, primarily focused in the U.S. Pharmacists have positioned themselves as leaders in clinical PGx testing, and will prepare the next generation to utilize PGx testing in their scope of practice.
Collapse
Affiliation(s)
- Susanne B Haga
- Division of General Internal Medicine, Department of Medicine, School of Medicine, Duke University, 101 Science Drive, Durham, NC 27708, USA
| |
Collapse
|
10
|
Muzaffar AF, Abdul-Massih S, Stevenson JM, Alvarez-Arango S. Use of the Electronic Health Record for Monitoring Adverse Drug Reactions. Curr Allergy Asthma Rep 2023; 23:417-426. [PMID: 37191903 DOI: 10.1007/s11882-023-01087-w] [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] [Accepted: 05/01/2023] [Indexed: 05/17/2023]
Abstract
PURPOSE OF REVIEW Adverse drug reactions (ADRs) are a significant cause of morbidity and mortality. The electronic health record (EHR) provides an opportunity to monitor ADRs, mainly through the utilization of drug allergy data and pharmacogenomics. This review article explores the current use of the EHR for ADR monitoring and highlights areas that require improvement. RECENT FINDINGS Recent research has identified several issues with using EHR for ADR monitoring. These include the lack of standardization between EHR systems, specificity in data entry options, incomplete and inaccurate documentation, and alert fatigue. These issues can limit the effectiveness of ADR monitoring and compromise patient safety. The EHR has great potential for monitoring ADR but needs significant updates to improve patient safety and optimize care. Future research should concentrate on developing standardized documentation and clinical decision support systems within EHRs. Healthcare professionals should also be educated on the significance of accurate and complete ADR monitoring.
Collapse
Affiliation(s)
- Anum F Muzaffar
- Division of Allergy and Immunology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sandra Abdul-Massih
- Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - James M Stevenson
- Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Pharmacology and Molecular Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Santiago Alvarez-Arango
- Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Hopkins Bayview Circle, 5501, MD, 21224, Baltimore, USA.
- Department of Pharmacology and Molecular Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| |
Collapse
|
11
|
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: 1] [Impact Index Per Article: 1.0] [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.
Collapse
|
12
|
Polasek TM. Calculation of the pharmacogenomics benefit score for patients with medication-related problems. Front Genet 2023; 14:1152585. [PMID: 37214415 PMCID: PMC10196203 DOI: 10.3389/fgene.2023.1152585] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 04/21/2023] [Indexed: 05/24/2023] Open
Abstract
Unexpected poor efficacy and intolerable adverse effects are medication-related problems that may result from genetic variation in genes encoding key proteins involved in pharmacokinetics or pharmacodynamics. Pharmacogenomic (PGx) testing can be used in medical practice "pre-emptively" to avoid future patient harm from medications and "reactively" to diagnose medication-related problems following their occurrence. A structured approach to PGx consulting is proposed to calculate the pharmacogenomics benefit score (PGxBS), a patient-centered objective measure of congruency between medication-related problems and patient genotypes. An example case of poor efficacy with multiple medications is presented, together with comments on the potential benefits and limitations of using the PGxBS in medical practice.
Collapse
Affiliation(s)
- Thomas M. Polasek
- Certara, Princeton, NJ, United States
- Centre for Medicines Use and Safety, Monash University, Melbourne, VIC, Australia
| |
Collapse
|
13
|
A Theory-Informed Systematic Review of Barriers and Enablers to Implementing Multi-Drug Pharmacogenomic Testing. J Pers Med 2022; 12:jpm12111821. [PMID: 36579514 PMCID: PMC9696651 DOI: 10.3390/jpm12111821] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/20/2022] [Accepted: 10/26/2022] [Indexed: 11/06/2022] Open
Abstract
PGx testing requires a complex set of activities undertaken by practitioners and patients, resulting in varying implementation success. This systematic review aimed (PROSPERO: CRD42019150940) to identify barriers and enablers to practitioners and patients implementing pharmacogenomic testing. We followed PRISMA guidelines to conduct and report this review. Medline, EMBASE, CINAHL, PsycINFO, and PubMed Central were systematically searched from inception to June 2022. The theoretical domain framework (TDF) guided the organisation and reporting of barriers or enablers relating to pharmacogenomic testing activities. From the twenty-five eligible reports, eleven activities were described relating to four implementation stages: ordering, facilitating, interpreting, and applying pharmacogenomic testing. Four themes were identified across the implementation stages: IT infrastructure, effort, rewards, and unknown territory. Barriers were most consistently mapped to TDF domains: memory, attention and decision-making processes, environmental context and resources, and belief about consequences.
Collapse
|
14
|
Cicali EJ, Lemke L, Al Alshaykh H, Nguyen K, Cavallari LH, Wiisanen K. How to Implement a Pharmacogenetics Service at your Institution. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2022; 5:1161-1175. [PMID: 36589694 PMCID: PMC9799247 DOI: 10.1002/jac5.1699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 07/29/2022] [Indexed: 01/05/2023]
Abstract
The vast majority of patients possess one or more pharmacogenetic variants that can influence optimal medication use. When pharmacogenetic data are used to guide drug choice and dosing, evidence points to improved disease outcomes, fewer adverse effects, and lower healthcare spending. Although its science is well established, clinical use of pharmacogenetic data to guide drug therapy is still in its infancy. Pharmacogenetics essentially involves the intersection of an individual's genetic data with their medications, which makes pharmacists uniquely qualified to provide clinical support and education in this field. In fact, most pharmacogenetics implementations, to date, have been led by pharmacists as leaders or members of a multidisciplinary team or as individual practitioners. A successful large-scale pharmacogenetics implementation requires coordination and synergy among administrators, clinicians, informatics teams, laboratories, and patients. Because clinical implementation of pharmacogenetics is in its early stages, there is an urgent need for guidance and dissemination of shared experiences to provide a framework for clinicians. Many early adopters of pharmacogenetics have explored various strategies among diverse practice settings. This article relies on the experiences of early adopters to provide guidance for critical steps along the pathway to implementation, including strategies to engage stakeholders; evaluate pharmacogenetic evidence; coordinate laboratory testing, results interpretation and their integration into the electronic health record; identify reimbursement avenues; educate providers and patients; and maintain a successful program. Learning from early adopters' published experiences and strategies can allow clinicians leading a new pharmacogenetics implementation to avoid pitfalls and adapt and apply lessons learned by others to their own practice.
Collapse
Affiliation(s)
- Emily J Cicali
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL, USA
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Fl, USA
| | - Lauren Lemke
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL, USA
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Fl, USA
| | - Hana Al Alshaykh
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL, USA
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Fl, USA
| | - Khoa Nguyen
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL, USA
| | - Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL, USA
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Fl, USA
| | - Kristin Wiisanen
- Department of Pharmacotherapy and Translational Research, University of Florida, College of Pharmacy, Gainesville, FL, USA
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Fl, USA
| |
Collapse
|
15
|
Haidar CE, Crews KR, Hoffman JM, Relling MV, Caudle KE. Advancing Pharmacogenomics from Single-Gene to Preemptive Testing. Annu Rev Genomics Hum Genet 2022; 23:449-473. [PMID: 35537468 PMCID: PMC9483991 DOI: 10.1146/annurev-genom-111621-102737] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Pharmacogenomic testing can be an effective tool to enhance medication safety and efficacy. Pharmacogenomically actionable medications are widely used, and approximately 90-95% of individuals have an actionable genotype for at least one pharmacogene. For pharmacogenomic testing to have the greatest impact on medication safety and clinical care, genetic information should be made available at the time of prescribing (preemptive testing). However, the use of preemptive pharmacogenomic testing is associated with some logistical concerns, such as consistent reimbursement, processes for reporting preemptive results over an individual's lifetime, and result portability. Lessons can be learned from institutions that have implemented preemptive pharmacogenomic testing. In this review, we discuss the rationale and best practices for implementing pharmacogenomics preemptively.
Collapse
Affiliation(s)
- Cyrine E Haidar
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
| | - Kristine R Crews
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
| | - James M Hoffman
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
- Office of Quality and Safety, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Mary V Relling
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
| | - Kelly E Caudle
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
| |
Collapse
|
16
|
McDermott JH, Wright S, Sharma V, Newman WG, Payne K, Wilson P. Characterizing pharmacogenetic programs using the consolidated framework for implementation research: A structured scoping review. Front Med (Lausanne) 2022; 9:945352. [PMID: 36059837 PMCID: PMC9433561 DOI: 10.3389/fmed.2022.945352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 07/29/2022] [Indexed: 12/11/2022] Open
Abstract
Several healthcare organizations have developed pre-emptive pharmacogenetic testing programs, where testing is undertaken prior to the prescription of a medicine. This review characterizes the barriers and facilitators which influenced the development of these programs. A bidirectional citation searching strategy identified relevant publications before a standardized data extraction approach was applied. Publications were grouped by program and data synthesis was undertaken using the Consolidated Framework for Implementation Research (CFIR). 104 publications were identified from 40 programs and 4 multi-center initiatives. 26 (66%) of the programs were based in the United States and 95% in high-income countries. The programs were heterogeneous in their design and scale. The Characteristics of the Intervention, Inner Setting, and Process domains were referenced by 92.5, 80, and 77.5% of programs, respectively. A positive institutional culture, leadership engagement, engaging stakeholders, and the use of clinical champions were frequently described as facilitators to implementation. Clinician self-efficacy, lack of stakeholder knowledge, and the cost of the intervention were commonly cited barriers. Despite variation between the programs, there were several similarities in approach which could be categorized via the CFIR. These form a resource for organizations planning the development of pharmacogenetic programs, highlighting key facilitators which can be leveraged to promote successful implementation.
Collapse
Affiliation(s)
- John H. McDermott
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom
- *Correspondence: John H. McDermott,
| | - Stuart Wright
- Division of Population Health, Manchester Centre for Health Economics, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Videha Sharma
- Division of Informatics, Centre for Health Informatics, Imaging and Data Science, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - William G. Newman
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom
| | - Katherine Payne
- Division of Population Health, Manchester Centre for Health Economics, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Paul Wilson
- Division of Population Health, Centre for Primary Care and Health Services Research, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| |
Collapse
|
17
|
Sperber NR, Cragun D, Roberts MC, Bendz LM, Ince P, Gonzales S, Haga SB, Wu RR, Petry NJ, Ramsey L, Uber R. A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings. J Pers Med 2022; 12:jpm12081313. [PMID: 36013262 PMCID: PMC9410119 DOI: 10.3390/jpm12081313] [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: 07/06/2022] [Revised: 08/05/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
Using a patient’s genetic information to inform medication prescriptions can be clinically effective; however, the practice has not been widely implemented. Health systems need guidance on how to engage with providers to improve pharmacogenetic test utilization. Approaches from the field of implementation science may shed light on the complex factors affecting pharmacogenetic test use in real-world settings and areas to target to improve utilization. This paper presents an approach to studying the application of precision medicine that utilizes mixed qualitative and quantitative methods and implementation science frameworks to understand which factors or combinations consistently account for high versus low utilization of pharmocogenetic testing. This approach involves two phases: (1) collection of qualitative and quantitative data from providers—the cases—at four clinical institutions about their experiences with, and utilization of, pharmacogenetic testing to identify salient factors; and (2) analysis using a Configurational Comparative Method (CCM), using a mathematical algorithm to identify the minimally necessary and sufficient factors that distinguish providers who have higher utilization from those with low utilization. Advantages of this approach are that it can be used for small to moderate sample sizes, and it accounts for conditions found in real-world settings by demonstrating how they coincide to affect utilization.
Collapse
Affiliation(s)
- Nina R. Sperber
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC 27701, USA
- Durham VA Health Care System, Durham, NC 27705, USA
- Correspondence:
| | - Deborah Cragun
- College of Public Health, University of South Florida, Tampa, FL 33612, USA
| | - Megan C. Roberts
- UNC Eshelman School of Pharmacy, University of North Carolina–Chapel Hill, Chapel Hill, NC 27599, USA
| | - Lisa M. Bendz
- Center for Medication Policy and Drug Information, Department of Pharmacy, Duke University Hospital, Durham, NC 27710, USA
| | - Parker Ince
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC 27701, USA
| | - Sarah Gonzales
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC 27701, USA
| | - Susanne B. Haga
- Department of Medicine, Duke University, Durham, NC 27701, USA
| | - R. Ryanne Wu
- Durham VA Health Care System, Durham, NC 27705, USA
- Department of Medicine, Duke University, Durham, NC 27701, USA
| | - Natasha J. Petry
- School of Pharmacy, North Dakota State University/Sanford Health Imagenetics, Fargo, ND 58108, USA
| | - Laura Ramsey
- Department of Pediatrics, Divisions of Clinical Pharmacology and Research in Patient Services, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Ryley Uber
- Center for Pharmacy Innovation and Outcomes, Geisinger, Danville, CA 17822, USA
| |
Collapse
|
18
|
Ho TT, Bell G, Gammal RS, Gregornik D, Wake DT, Dunnenberger HM. A clinician’s guide for counseling patients on results of a multigene pharmacogenomic panel. Am J Health Syst Pharm 2022; 79:1634-1644. [DOI: 10.1093/ajhp/zxac189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Disclaimer
In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.
Purpose
This article explores approaches to pharmacogenomic counseling for patients who have undergone multigene panel testing by describing the collective experience of 5 institutions.
Summary
Multigene panel pharmacogenomic testing has the potential to unlock a myriad of information about a patient’s past, present, and future drug response. The multifaceted nature of drug response coupled with the complexity of genetic results necessitates some form of patient education through pharmacogenomic counseling. Published literature regarding disclosure of pharmacogenomic test results is limited. This article compares the counseling practices of pharmacists from 5 different institutions with pharmacogenomics clinics whose experience represents perspectives ranging from academia to community clinical environments. Overarching counseling themes discussed during result disclosure center around (1) pharmacogenomic results, (2) gene-drug interactions, (3) gene-drug-drug interactions, (4) drug changes (5) future, familial, or disease-risk implications, (6) updates in the interpretation and application of pharmacogenomic results, (7) gauging patient comprehension, and (8) sharing results and supplemental information.
Conclusion
Dedicating time to counseling patients on the results of a multigene pharmacogenomic panel is important given the lifelong applications of a test that is generally performed only once. The content and methods of disclosing test results shared by the experiences of pharmacists at 5 different institutions serve as guide to be further refined as research addresses effective communication strategies that enhance patient comprehension of pharmacogenomic results.
Collapse
Affiliation(s)
- Teresa T Ho
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa , FL, and Department of Internal Medicine, University of South Florida Morsani College of Medicine, Tampa, FL, USA
| | - Gillian Bell
- Genetics & Personalized Medicine Department, Mission Health, Asheville, NC, and Genome Medical, South San Francisco , CA, USA
| | | | - David Gregornik
- Department of Pharmacy Practice, Massachusetts College of Pharmacy and Health Sciences, Boston , MA, USA
| | - Dyson T Wake
- Pharmacogenomics Program, Children's Minnesota, Minneapolis , MN, USA
| | | |
Collapse
|
19
|
Gammal RS, Fieg E. Pharmacist and genetic counselor collaboration in pharmacogenomics. Am J Health Syst Pharm 2022; 79:1516-1520. [PMID: 35732271 DOI: 10.1093/ajhp/zxac168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.
Collapse
Affiliation(s)
- Roseann S Gammal
- Massachusetts College of Pharmacy and Health Sciences Boston, MA, USA
| | - Elizabeth Fieg
- Genetics & Genomic Medicine Service Brigham and Women's Hospital Boston, MA, USA
| |
Collapse
|
20
|
Martin JL, Lee YM, Corbin LW, Colson R, Aquilante CL. Patients' perspectives of a pharmacist-provided clinical pharmacogenomics service. Pharmacogenomics 2022; 23:463-474. [PMID: 35469451 DOI: 10.2217/pgs-2022-0013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Aim: To assess the perspectives and experiences of patients who participated in a pharmacist-provided clinical pharmacogenomics (PGx) service. Methods: We conducted individual semistructured interviews with 16 patients who received a pharmacist-provided PGx service. Qualitative data were analyzed to identify pertinent themes. Results: The major themes identified were: heterogeneity of patient PGx experiences and preferences, pharmacists as appropriate providers of PGx services, considerations regarding the use of PGx results in routine healthcare, and perceived applications of PGx testing. Theme-derived considerations included the need to establish appropriate pre-genotyping expectations, individualize patient education, facilitate collaboration with patients' providers and sustainably update patients' PGx information over time. Conclusion: Patient-specific perspectives such as these are important to consider when providing clinical PGx services, with intention of optimizing patient experiences.
Collapse
Affiliation(s)
- James L Martin
- Department of Pharmaceutical Sciences, University of Colorado, Skaggs School of Pharmacy & Pharmaceutical Sciences, Aurora, CO 80045, USA
| | - Yee Ming Lee
- Department of Clinical Pharmacy, University of Colorado, Skaggs School of Pharmacy & Pharmaceutical Sciences, Aurora, CO 80045, USA
| | - Lisa W Corbin
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Ronald Colson
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Christina L Aquilante
- Department of Pharmaceutical Sciences, University of Colorado, Skaggs School of Pharmacy & Pharmaceutical Sciences, Aurora, CO 80045, USA
| |
Collapse
|
21
|
Gill PS, Elchynski AL, Porter-Gill PA, Goodson BG, Scott MA, Lipinski D, Seay A, Kehn C, Balmakund T, Schaefer GB. Multidisciplinary Consulting Team for Complicated Cases of Neurodevelopmental and Neurobehavioral Disorders: Assessing the Opportunities and Challenges of Integrating Pharmacogenomics into a Team Setting. J Pers Med 2022; 12:jpm12040599. [PMID: 35455715 PMCID: PMC9024886 DOI: 10.3390/jpm12040599] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/16/2022] [Accepted: 04/06/2022] [Indexed: 12/15/2022] Open
Abstract
Neurodevelopmental disorders have steadily increased in incidence in the United States. Over the past decade, there have been significant changes in clinical diagnoses and treatments some of which are due to the increasing adoption of pharmacogenomics (PGx) by clinicians. In this pilot study, a multidisciplinary team at the Arkansas Children’s Hospital North West consulted on 27 patients referred for difficult-to-manage neurodevelopmental and/or neurobehavioral disorders. The 27 patients were evaluated by the team using records review, team discussion, and pharmacogenetic testing. OneOme RightMed® (Minneapolis, MN, USA) and the Arkansas Children’s Hospital comprehensive PGx test were used for drug prescribing guidance. Of the 27 patients’ predicted phenotypes, the normal metabolizer was 11 (40.8%) for CYP2C19 and 16 (59.3%) for CYP2D6. For the neurodevelopmental disorders, the most common comorbid conditions included attention-deficit hyperactivity disorder (66.7%), anxiety disorder (59.3%), and autism (40.7%). Following the team assessment and PGx testing, 66.7% of the patients had actionable medication recommendations. This included continuing current therapy, suggesting an appropriate alternative medication, starting a new therapy, or adding adjunct therapy (based on their current medication use). Moreover, 25.9% of patients phenoconverted to a CYP2D6 poor metabolizer. This retrospective chart review pilot study highlights the value of a multidisciplinary treatment approach to deliver precision healthcare by improving physician clinical decisions and potentially impacting patient outcomes. It also shows the feasibility to implement PGx testing in neurodevelopmental/neurobehavioral disorders.
Collapse
Affiliation(s)
- Pritmohinder S. Gill
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA; (T.B.); (G.B.S.)
- Arkansas Children’s Research Institute, Little Rock, AR 72202, USA;
- Correspondence: ; Tel.: +1-(501)-364-1418; Fax: +1-(501)-364-3654
| | | | | | - Bradley G. Goodson
- Schmieding Developmental Center, Springdale, AR 72762, USA; (B.G.G.); (M.A.S.); (D.L.); (A.S.); (C.K.)
| | - Mary Ann Scott
- Schmieding Developmental Center, Springdale, AR 72762, USA; (B.G.G.); (M.A.S.); (D.L.); (A.S.); (C.K.)
| | - Damon Lipinski
- Schmieding Developmental Center, Springdale, AR 72762, USA; (B.G.G.); (M.A.S.); (D.L.); (A.S.); (C.K.)
| | - Amy Seay
- Schmieding Developmental Center, Springdale, AR 72762, USA; (B.G.G.); (M.A.S.); (D.L.); (A.S.); (C.K.)
- Arkansas Children’s Hospital Northwest, Springdale, AR 72762, USA
| | - Christina Kehn
- Schmieding Developmental Center, Springdale, AR 72762, USA; (B.G.G.); (M.A.S.); (D.L.); (A.S.); (C.K.)
| | - Tonya Balmakund
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA; (T.B.); (G.B.S.)
- Arkansas Children’s Hospital Northwest, Springdale, AR 72762, USA
| | - G. Bradley Schaefer
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA; (T.B.); (G.B.S.)
- Arkansas Children’s Research Institute, Little Rock, AR 72202, USA;
- Schmieding Developmental Center, Springdale, AR 72762, USA; (B.G.G.); (M.A.S.); (D.L.); (A.S.); (C.K.)
- University of Arkansas for Medical Sciences Northwest, Fayetteville, AR 72701, USA
| |
Collapse
|
22
|
Gammal RS, Lee YM, Petry NJ, Iwuchukwu O, Hoffman JM, Kisor DF, Empey PE. Pharmacists Leading the Way to Precision Medicine: Updates to the Core Pharmacist Competencies in Genomics. AMERICAN JOURNAL OF PHARMACEUTICAL EDUCATION 2022; 86:8634. [PMID: 34301570 PMCID: PMC10159420 DOI: 10.5688/ajpe8634] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 06/23/2021] [Indexed: 05/06/2023]
Abstract
Genomics is becoming an increasingly important part of health care, and pharmacists are well-positioned to be practice-based leaders in pharmacogenomics and precision medicine. Competencies available through the Genetics/Genomics Competency Center provide a framework for pharmacogenomics instruction in both pharmacy school curricula and continuing education programs. Given the significant advancements in pharmacogenomics over the past decade, the 2019-2020 American Association of Colleges of Pharmacy Pharmacogenomics Special Interest Group updated the pharmacist competencies. The process used a systematic approach which included mapping pharmacogenomics-specific competencies to the entrustable professional activities for pharmacists and seeking consensus from key stakeholders. The result is an expansion to 30 competencies that reflect the contemporary roles pharmacists play in the application of pharmacogenomics in clinical practice. When implemented into curricula, these competencies will ensure that learners are "practice ready" to integrate pharmacogenomics into patient care. Additional postgraduate training is needed for advanced roles in pharmacogenomics implementation, education, and research.
Collapse
Affiliation(s)
- Roseann S Gammal
- American Association of Colleges of Pharmacy Pharmacogenomics Special Interest Group, Arlington, Virginia
- Massachusetts College of Pharmacy and Health Sciences, Boston, Massachusetts
| | - Yee Ming Lee
- American Association of Colleges of Pharmacy Pharmacogenomics Special Interest Group, Arlington, Virginia
- University of Colorado, Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado
| | - Natasha J Petry
- American Association of Colleges of Pharmacy Pharmacogenomics Special Interest Group, Arlington, Virginia
- North Dakota State University, School of Pharmacy, Fargo, North Dakota
| | - Otito Iwuchukwu
- American Association of Colleges of Pharmacy Pharmacogenomics Special Interest Group, Arlington, Virginia
- Farleigh Dickinson University, School of Pharmacy, Florham Park, New Jersey
| | - James M Hoffman
- American Association of Colleges of Pharmacy Pharmacogenomics Special Interest Group, Arlington, Virginia
- St. Jude Children's Research Hospital, Memphis, Tennessee
| | - David F Kisor
- American Association of Colleges of Pharmacy Pharmacogenomics Special Interest Group, Arlington, Virginia
- Manchester University, Fort Wayne, Indiana
| | - Philip E Empey
- American Association of Colleges of Pharmacy Pharmacogenomics Special Interest Group, Arlington, Virginia
- University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania
| |
Collapse
|
23
|
Drug-drug-gene interaction risk among opioid users in the U.S. Department of Veterans Affairs. Pain 2022; 163:2390-2397. [PMID: 35319502 DOI: 10.1097/j.pain.0000000000002637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/13/2022] [Indexed: 11/25/2022]
Abstract
ABSTRACT Response to analgesic therapy is influenced by several factors including genetics and drug-drug interactions. Pharmacogenetic (PGx) variants in the CYP2D6 gene modify response to opioids by altering drug metabolism. We sought to determine the potential impact of PGx testing on the care of Veterans with noncancer pain prescribed opioids metabolized by CYP2D6 (codeine, hydrocodone, or tramadol). A retrospective analysis was performed within the Veterans Health Administration (VHA) evaluating prescription records for pain medications metabolized by CYP2D6 and interacting drugs from 2012-2017. Among 2,436,654 VHA pharmacy users with at least one opioid prescription, 34% met the definition of chronic use (longer than 90 days with more than 10 prescriptions or 120 days- supply). Opioids were commonly co-prescribed with antidepressants interacting with CYP2D6 (28%). An estimated 21.6% (n=526,905) of these patients are at elevated risk of an undesirable response to their opioid medication based on predicted phenotypes and drug-drug interactions: 3.5% are predicted CYP2D6 ultrarapid metabolizers and at increased risk for toxicity, 5.4% are poor metabolizer at higher risk for nonresponse, and 12.8% are normal or intermediate metabolizers co-prescribed a CYP2D6 inhibitor leading to phenoconversion into poor metabolizer. Despite the high rate of co-prescription of opioids and interacting drugs, CYP2D6 testing was infrequent in the sample (0.02%) and chart review suggest that test results were used to optimize antidepressant treatments rather than pain medications. Using pharmacogenetic testing combined with consideration of phenoconversion may allow for an enhanced precision medicine approach to pain management in Veterans.
Collapse
|
24
|
Allen JD, Pittenger AL, Bishop JR. A Scoping Review of Attitudes and Experiences with Pharmacogenomic Testing among Patients and the General Public: Implications for Patient Counseling. J Pers Med 2022; 12:jpm12030425. [PMID: 35330430 PMCID: PMC8953117 DOI: 10.3390/jpm12030425] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/02/2022] [Accepted: 03/03/2022] [Indexed: 12/16/2022] Open
Abstract
The use of pharmacogenomic (PGx) tests is increasing, but there are not standard approaches to counseling patients on their implications or results. To inform approaches for patient counseling, we conducted a scoping review of published literature on patient experiences with PGx testing and performed a thematic analysis of qualitative and quantitative reports. A structured scoping review was conducted using Joanna Briggs Institute guidance. The search identified 37 articles (involving n = 6252 participants) published between 2010 and 2021 from a diverse range of populations and using a variety of study methodologies. Thematic analysis identified five themes (reasons for testing/perceived benefit, understanding of results, psychological response, impact of testing on patient/provider relationship, concerns about testing/perceived harm) and 22 subthemes. These results provide valuable context and potential areas of focus during patient counseling on PGx. Many of the knowledge gaps, misunderstandings, and concerns that participants identified could be mitigated by pre- and post-test counseling. More research is needed on patients’ PGx literacy needs, along with the development of a standardized, open-source patient education curriculum and the development of validated PGx literacy assessment tools.
Collapse
Affiliation(s)
- Josiah D. Allen
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, USA;
- Medigenics Consulting, LLC, Minneapolis, MN 55407, USA
| | - Amy L. Pittenger
- Department of Pharmaceutical Care and Health Systems, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, USA;
| | - Jeffrey R. Bishop
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, USA;
- Department of Psychiatry and Behavioral Sciences, Medical School, University of Minnesota, Minneapolis, MN 55455, USA
- Correspondence:
| |
Collapse
|
25
|
Lee AJ, Hui AC, Walker AD, Peshkin BN, Swain SM, Smith DM. Evaluation of a longitudinal pharmacogenomics education on pharmacist knowledge in a multicampus healthcare system. Pharmacogenomics 2022; 23:173-182. [PMID: 35042388 DOI: 10.2217/pgs-2021-0129] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Aim: To evaluate the effect of pharmacogenomics (PGx) education for pharmacists. Materials & Methods: Three-part weekly webinar series occurred in 2021. Pharmacists were assessed on their PGx knowledge at baseline and after each webinar. The primary end point was a change in the percent of correct responses between the baseline and week 1 assessment. Secondary end points included change in knowledge at weeks 4-8 and change in self-efficacy. Results: In total, 19 of 58 participants were eligible for the primary analysis, which showed an average improvement of 37% (p < 0.0001). Knowledge remained consistent between week 1 and weeks 4-8. Average self-efficacy increased (p < 0.0001) and was maintained at weeks 4-8. Conclusion: The PGx webinar series resulted in a lasting improvement in PGx knowledge and self-efficacy.
Collapse
Affiliation(s)
- Andrew J Lee
- Department of Pharmacy, MedStar Union Memorial Hospital, Baltimore, MD 21218, USA
| | - Adrian C Hui
- Department of Pharmacy, MedStar Union Memorial Hospital, Baltimore, MD 21218, USA
| | | | - Beth N Peshkin
- Georgetown University Medical Center, Washington, DC 20057, USA
| | - Sandra M Swain
- MedStar Health, Columbia, MD 21044, USA.,Georgetown University Medical Center, Washington, DC 20057, USA
| | - D Max Smith
- MedStar Health, Columbia, MD 21044, USA.,Georgetown University Medical Center, Washington, DC 20057, USA
| |
Collapse
|
26
|
Evaluating the feasibility of performing pharmacogenetic
guided‐medication
therapy management in a retirement community: A prospective, single arm study. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2021. [DOI: 10.1002/jac5.1570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|
27
|
Ho TT, Gift M, Alexander E. Prioritizing pharmacogenomics implementation initiates: a survey of healthcare professionals. Per Med 2021; 19:15-23. [PMID: 34881640 DOI: 10.2217/pme-2021-0061] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Aim: Characterize current perceptions, practices, preferences and barriers to integrating pharmacogenomics into patient care at an institution with an established pharmacogenomics clinic. Materials & methods: A 16-item anonymous survey was sent to healthcare professionals practicing at Tampa General Hospital and the University of South Florida Health. Results: Survey participants consisted of nine advanced practice providers, 41 pharmacists and 64 physicians. Majority of survey participants did not feel confident in their ability to interpret and apply pharmacogenomic results. In the past 12 months, 27% of physicians reported ordering a pharmacogenomic test. The greatest reported barrier to integrating pharmacogenomics was the absence of established guidelines or protocols. Conclusion: Most clinicians believed pharmacogenomics would be useful in their clinical practice but do not feel prepared to interpret pharmacogenomic results.
Collapse
Affiliation(s)
- Teresa T Ho
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA.,Department of Internal Medicine, University of South Florida Morsani College of Medicine, Tampa, FL 33612, USA
| | - Maja Gift
- Department of Pharmacy Services, Tampa General Hospital, Tampa, FL 33601, USA
| | - Earnest Alexander
- Department of Pharmacy Services, Tampa General Hospital, Tampa, FL 33601, USA
| |
Collapse
|
28
|
Gammal RS, Berenbrok LA, Empey PE, Massart MB. Documenting Pharmacogenomic Test Results in Electronic Health Records: Practical Considerations for Primary Care Teams. J Pers Med 2021; 11:jpm11121296. [PMID: 34945768 PMCID: PMC8706275 DOI: 10.3390/jpm11121296] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 11/26/2021] [Accepted: 11/29/2021] [Indexed: 12/21/2022] Open
Abstract
With increasing patient interest in and access to pharmacogenomic testing, clinicians practicing in primary care are more likely than ever to encounter a patient seeking or presenting with pharmacogenomic test results. Gene-based prescribing recommendations are available to healthcare providers through Food and Drug Administration-approved drug labeling and Clinical Pharmacogenetics Implementation Consortium guidelines. Given the lifelong utility of pharmacogenomic test results to optimize pharmacotherapy for commonly prescribed medications, appropriate documentation of these results in a patient’s electronic health record (EHR) is essential. The current “gold standard” for pharmacogenomics implementation includes entering pharmacogenomic test results into EHRs as discrete results with associated clinical decision support (CDS) alerts that will fire at the point of prescribing, similar to drug allergy alerts. However, such infrastructure is limited to the few institutions that have invested in the resources and personnel to develop and maintain it. For the majority of clinicians who do not practice at an institution with a dedicated clinical pharmacogenomics team and integrated pharmacogenomics CDS in the EHR, this report provides practical tips for documenting pharmacogenomic test results in the problem list and allergy field to maximize the visibility and utility of results over time, especially when such results could prevent the occurrence of serious adverse drug reactions or predict therapeutic failure.
Collapse
Affiliation(s)
- Roseann S. Gammal
- Department of Pharmacy Practice, Massachusetts College of Pharmacy and Health Sciences, Boston, MA 02115, USA;
| | - Lucas A. Berenbrok
- Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA 15261, USA; (L.A.B.); (P.E.E.)
| | - Philip E. Empey
- Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA 15261, USA; (L.A.B.); (P.E.E.)
| | - Mylynda B. Massart
- Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
- Correspondence: ; Tel.: +1-503-939-7261
| |
Collapse
|
29
|
Liu M, Van Driest SL, Vnencak-Jones CL, Saucier LAG, Roland BP, Gatto CL, Just SL, Weitkamp AO, Peterson JF. Impact of Updating Pharmacogenetic Results: Lessons Learned from the PREDICT Program. J Pers Med 2021; 11:jpm11111051. [PMID: 34834403 PMCID: PMC8617828 DOI: 10.3390/jpm11111051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/09/2021] [Accepted: 10/13/2021] [Indexed: 12/26/2022] Open
Abstract
Pharmacogenomic (PGx) evidence for selective serotonin reuptake inhibitors (SSRIs) continues to evolve. For sites offering testing, maintaining up-to-date interpretations and implementing new clinical decision support (CDS) driven by existing results creates practical and technical challenges. Vanderbilt University Medical Center initiated panel testing in 2010, added CYP2D6 testing in 2017, and released CDS for SSRIs in 2020. We systematically reinterpreted historic CYP2C19 and CYP2D6 genotypes to update phenotypes to current nomenclature and to launch provider CDS and patient-oriented content for SSRIs. Chart review was conducted to identify and recontact providers caring for patients with current SSRI therapy and new actionable recommendations. A total of 15,619 patients’ PGx results were reprocessed. Of the non-deceased patients reprocessed, 21% (n = 3278) resulted in CYP2C19*1/*17 reinterpretations. Among 289 patients with an actionable recommendation and SSRI medication prescription, 31.8% (n = 92) did not necessitate contact of a clinician, while 43.2% (n = 125) resulted in clinician contacted, and for 25% (n = 72) no appropriate clinician was able to be identified. Maintenance of up-to-date interpretations and recommendations for PGx results over the lifetime of a patient requires continuous effort. Reprocessing is a key strategy for maintenance and expansion of PGx content to be periodically considered and implemented.
Collapse
Affiliation(s)
- Michelle Liu
- Department of Pharmacy, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Correspondence:
| | - Sara L. Van Driest
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA; (S.L.V.D.); (J.F.P.)
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
| | - Cindy L. Vnencak-Jones
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Leigh Ann G. Saucier
- Vanderbilt Institute for Clinical & Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, USA; (L.A.G.S.); (B.P.R.); (C.L.G.)
| | - Bartholomew P. Roland
- Vanderbilt Institute for Clinical & Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, USA; (L.A.G.S.); (B.P.R.); (C.L.G.)
| | - Cheryl L. Gatto
- Vanderbilt Institute for Clinical & Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, USA; (L.A.G.S.); (B.P.R.); (C.L.G.)
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Shari L. Just
- Health IT Decision Support and Knowledge Engineering, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
| | - Asli O. Weitkamp
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
| | - Josh F. Peterson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA; (S.L.V.D.); (J.F.P.)
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA;
| |
Collapse
|
30
|
Rahma AT, Elbarazi I, Ali BR, Patrinos GP, Ahmed LA, Elsheik M, Al-Maskari F. Development of the pharmacogenomics and genomics literacy framework for pharmacists. Hum Genomics 2021; 15:62. [PMID: 34656176 PMCID: PMC8520199 DOI: 10.1186/s40246-021-00361-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 10/05/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Pharmacists play a unique role in integrating genomic medicine and pharmacogenomics into the clinical practice and to translate pharmacogenomics from bench to bedside. However, the literature suggests that the knowledge gap in pharmacogenomics is a major challenge; therefore, developing pharmacists' skills and literacy to achieve this anticipated role is highly important. We aim to conceptualize a personalized literacy framework for the adoption of genomic medicine and pharmacogenomics by pharmacists in the United Arab Emirates with possible regional and global relevance. RESULTS A qualitative approach using focus groups was used to design and to guide the development of a pharmacogenomics literacy framework. The Health Literacy Skills framework was used as a guide to conceptualize the pharmacogenomics literacy for pharmacists. The framework included six major components with specific suggested factors to improve pharmacists' pharmacogenomics literacy. Major components include individual inputs, demand, skills, knowledge, attitude and sociocultural factors. CONCLUSION This framework confirms a holistic bottom-up approach toward the implementation of pharmacogenomics. Personalized medicine entails personalized efforts and frameworks. Similar framework can be created for other healthcare providers, patients and stakeholders.
Collapse
Affiliation(s)
- Azhar T Rahma
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, UAE
| | - Iffat Elbarazi
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, UAE
| | - Bassam R Ali
- Department of Genetics and Genomics, College of Medicine and Health Science, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, UAE.,Zayed Center for Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, UAE
| | - George P Patrinos
- Department of Genetics and Genomics, College of Medicine and Health Science, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, UAE.,Zayed Center for Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, UAE.,Department of Pharmacy, School of Health Sciences, University of Patras, 26504, Patras, Greece
| | - Luai A Ahmed
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, UAE.,Zayed Center for Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, UAE
| | - Mahanna Elsheik
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, UAE.,Zayed Center for Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, UAE
| | - Fatma Al-Maskari
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, UAE. .,Zayed Center for Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, UAE.
| |
Collapse
|
31
|
Pardiñas AF, Owen MJ, Walters JTR. Pharmacogenomics: A road ahead for precision medicine in psychiatry. Neuron 2021; 109:3914-3929. [PMID: 34619094 DOI: 10.1016/j.neuron.2021.09.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 08/05/2021] [Accepted: 09/09/2021] [Indexed: 12/11/2022]
Abstract
Psychiatric genomics is providing insights into the nature of psychiatric conditions that in time should identify new drug targets and improve patient care. Less attention has been paid to psychiatric pharmacogenomics research, despite its potential to deliver more rapid change in clinical practice and patient outcomes. The pharmacogenomics of treatment response encapsulates both pharmacokinetic ("what the body does to a drug") and pharmacodynamic ("what the drug does to the body") effects. Despite early optimism and substantial research in both these areas, they have to date made little impact on clinical management in psychiatry. A number of bottlenecks have hampered progress, including a lack of large-scale replication studies, inconsistencies in defining valid treatment outcomes across experiments, a failure to routinely incorporate adverse drug reactions and serum metabolite monitoring in study designs, and inadequate investment in the longitudinal data collections required to demonstrate clinical utility. Nonetheless, advances in genomics and health informatics present distinct opportunities for psychiatric pharmacogenomics to enter a new and productive phase of research discovery and translation.
Collapse
Affiliation(s)
- Antonio F Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University School of Medicine, Hadyn Ellis Building, Maindy Road, Cardiff CF24 4HQ, UK
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University School of Medicine, Hadyn Ellis Building, Maindy Road, Cardiff CF24 4HQ, UK.
| | - James T R Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University School of Medicine, Hadyn Ellis Building, Maindy Road, Cardiff CF24 4HQ, UK
| |
Collapse
|
32
|
Tuteja S, Salloum RG, Elchynski AL, Smith DM, Rowe E, Blake KV, Limdi NA, Aquilante CL, Bates J, Beitelshees AL, Cipriani A, Duong BQ, Empey PE, Formea CM, Hicks JK, Mroz P, Oslin D, Pasternak AL, Petry N, Ramsey LB, Schlichte A, Swain SM, Ward KM, Wiisanen K, Skaar TC, Van Driest SL, Cavallari LH, Bishop JR. Multisite evaluation of institutional processes and implementation determinants for pharmacogenetic testing to guide antidepressant therapy. Clin Transl Sci 2021; 15:371-383. [PMID: 34562070 PMCID: PMC8841452 DOI: 10.1111/cts.13154] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 08/11/2021] [Accepted: 08/16/2021] [Indexed: 12/11/2022] Open
Abstract
There is growing interest in utilizing pharmacogenetic (PGx) testing to guide antidepressant use, but there is lack of clarity on how to implement testing into clinical practice. We administered two surveys at 17 sites that had implemented or were in the process of implementing PGx testing for antidepressants. Survey 1 collected data on the process and logistics of testing. Survey 2 asked sites to rank the importance of Consolidated Framework for Implementation Research (CFIR) constructs using best‐worst scaling choice experiments. Of the 17 sites, 13 had implemented testing and four were in the planning stage. Thirteen offered testing in the outpatient setting, and nine in both outpatient/inpatient settings. PGx tests were mainly ordered by psychiatry (92%) and primary care (69%) providers. CYP2C19 and CYP2D6 were the most commonly tested genes. The justification for antidepressants selected for PGx guidance was based on Clinical Pharmacogenetics Implementation Consortium guidelines (94%) and US Food and Drug Administration (FDA; 75.6%) guidance. Both institutional (53%) and commercial laboratories (53%) were used for testing. Sites varied on the methods for returning results to providers and patients. Sites were consistent in ranking CFIR constructs and identified patient needs/resources, leadership engagement, intervention knowledge/beliefs, evidence strength and quality, and the identification of champions as most important for implementation. Sites deployed similar implementation strategies and measured similar outcomes. The process of implementing PGx testing to guide antidepressant therapy varied across sites, but key drivers for successful implementation were similar and may help guide other institutions interested in providing PGx‐guided pharmacotherapy for antidepressant management.
Collapse
Affiliation(s)
- Sony Tuteja
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ramzi G Salloum
- University of Florida College of Medicine, Gainesville, Florida, USA
| | | | - D Max Smith
- MedStar Health, Georgetown University Medical Center, Washington, DC, USA
| | - Elizabeth Rowe
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Nita A Limdi
- University of Alabama School of Medicine, Birmingham, Alabama, USA
| | | | - Jill Bates
- Durham VA Healthcare System, Durham, North Carolina, USA
| | | | - Amber Cipriani
- University of North Carolina Medical Center, Chapel Hill, North Carolina, USA
| | | | - Philip E Empey
- University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania, USA
| | | | | | - Pawel Mroz
- University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - David Oslin
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
| | - Amy L Pasternak
- University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
| | - Natasha Petry
- North Dakota State University/Sanford Health, Fargo, North Dakota, USA
| | - Laura B Ramsey
- Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | | | - Sandra M Swain
- MedStar Health, Georgetown University Medical Center, Washington, DC, USA
| | - Kristen M Ward
- University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
| | - Kristin Wiisanen
- University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Todd C Skaar
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | | | - Jeffrey R Bishop
- University of Minnesota Medical School, Minneapolis, Minnesota, USA.,University of Minnesota College of Pharmacy, Minneapolis, Minnesota, USA
| | | |
Collapse
|
33
|
Bright DR, Petry N, Roath E, Gibb T. Engaging pharmacogenomics in pain management and opioid selection. Pharmacogenomics 2021; 22:927-937. [PMID: 34521258 DOI: 10.2217/pgs-2021-0044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Opioid misuse and mismanagement has been a public health crisis for several years. Pharmacogenomics (PGx) has been proposed as another tool to enhance opioid selection and optimization, with recent studies demonstrating successful implementation and outcomes. However, broad engagement with PGx for opioid management is presently limited. The purpose of this article is to highlight a series of barriers to PGx implementation within the specific context of opioid management. Areas of advancement needed for more robust pharmacogenomic engagement with opioids will be discussed, including clinical and economic research needs, education and training needs, policy and public health considerations, as well as legal and ethical issues. Continuing efforts to address these issues may help to further operationalize PGx toward improving opioid use.
Collapse
Affiliation(s)
- David R Bright
- Department of Pharmaceutical Sciences, Ferris State University College of Pharmacy, 220 Ferris Dr, Big Rapids, MI 49307, USA
| | - Natasha Petry
- Department of Pharmacy Practice, College of Health Professions, North Dakota State University, PO Box 6050, Fargo, ND 58108, USA.,Sanford Imagenetics, 1321 W 22nd St, Sioux Falls, SD 57105, USA
| | - Eric Roath
- SpartanNash, 1550 Gezon Parkway, Wyoming, MI 49509, USA
| | - Tyler Gibb
- Department of Medical Ethics, Humanities, & Law, Homer Stryker MD School of Medicine, Western Michigan University, 1000 Oakland Drive, Kalamazoo, MI 49008, USA
| |
Collapse
|
34
|
Diagnostic yield and recognized barriers of an adult neurogenetics clinic. J Community Genet 2021; 12:569-576. [PMID: 34478057 DOI: 10.1007/s12687-021-00547-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 08/02/2021] [Indexed: 11/27/2022] Open
Abstract
The advent of molecular genetic technologies paved a path for the diagnosis of many neurological disorders. Joint evaluation by a neurologist and a medical genetics specialist can potentially increase diagnostic effectiveness by ensuring the exclusion of non-genetic conditions with similar phenotypes and by rationally selecting appropriate genetic diagnostic tools. Therefore, a monthly adult neurogenetics clinic was established. A retrospective review of medical records of all patients who attended the clinic from April 2015 to March 2019 was conducted. Eighty-two patients were evaluated (age: 47.1 ± 15.7, male: 37(45%), 42 (51%) had a positive family history). Disease duration was typically long (11.4 ± 0.9 years). Futile use of diagnostic modalities was very common (45 (55%) had repeated MRI, 28 (34%) hospitalized for observation in neurologic departments, 12 (14%) had a normal metabolic workup, 4 (5%) with a non-conclusive muscle biopsy, 1 with a normal cerebral angiography). Following clinical evaluation, molecular genetic testing was offered to 67 (82%) patients. In the other 15 (18%), routine workup for the exclusion of non-genetic conditions was not complete; obtainable information regarding family members was missing or that a neurogenetic disorder seemed improbable. Twenty-seven (33%) patients received a definitive diagnosis, either a genetic (23, 28%) or non-genetic (4, 5%). Excluding 4 cases of pre-symptomatic diagnosis, the diagnostic yield was 30%. The adherence to genetic testing recommendations was 62%. The reasons for non-adherence were lack of public funding for the required test (52%) and patient decision not to proceed (48%). Given the frequent futile use of diagnostic modalities, referral of non-genetic conditions with similar phenotypes among neurogenetic disorders, and the complexity of clinical genomic data analysis, a multi-disciplinary neurogenetics clinic seems justified.
Collapse
|
35
|
Hayward J, McDermott J, Qureshi N, Newman W. Pharmacogenomic testing to support prescribing in primary care: a structured review of implementation models. Pharmacogenomics 2021; 22:761-776. [PMID: 34467776 PMCID: PMC8438972 DOI: 10.2217/pgs-2021-0032] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
The application of pharmacogenomics could meaningfully contribute toward medicines optimization within primary care. This review identified 13 studies describing eight implementation models utilizing a multi-gene pharmacogenomic panel within a primary care or community setting. These were small feasibility studies (n <200). They demonstrated importance and feasibility of pre-test counseling, the role of the pharmacist, data integration into the electronic medical record and point-of-care clinical decision support systems (CDSS). Findings were considered alongside existing primary care prescribing practices and implementation frameworks to demonstrate how issues may be addressed by existing nationalized healthcare and primary care infrastructure. Development of point-of-care CDSS should be prioritized; establishing clinical leadership, education programs, defining practitioner roles and responsibilities and addressing commissioning issues will also be crucial.
Collapse
Affiliation(s)
- Judith Hayward
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital, Leeds Teaching Hospitals Trust, Leeds, LS7 4SA, UK.,Affinity Care, Shipley Medical Practice, Shipley, BD18 3EG, UK
| | - John McDermott
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK.,Division of Evolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, M14 5BZ, UK
| | - Nadeem Qureshi
- Primary Care Stratified Medicine Research Group (PRISM), University of Nottingham, Nottingham, NG7 2UH, UK
| | - William Newman
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK.,Division of Evolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, M14 5BZ, UK
| |
Collapse
|
36
|
Hayashi M, Hamdy DA, Mahmoud SH. Applications for pharmacogenomics in pharmacy practice: A scoping review. Res Social Adm Pharm 2021; 18:3094-3118. [PMID: 34474980 DOI: 10.1016/j.sapharm.2021.08.009] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 07/19/2021] [Accepted: 08/18/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND Pharmacogenomics (PGx) can provide valuable pharmacokinetic and pharmacodynamic information for the pharmacist's assessment of drug therapy, especially within medication therapy management (MTM) services. However, no review has comprehensively mapped the pharmacists' use of PGx in practice-based research. Doing so would allow future researchers, practitioners, and policy-makers to identify the ideal populations and settings for PGx implementation within the pharmacy. OBJECTIVE The purpose of this review is to identify the evidence to date of PGx use in pharmacy practice. METHODS A scoping review was conducted to find all studied non-oncologic pharmacy practices incorporating PGx testing. Search terms were applied to 5 databases and relevant journals. Characteristics of patients, pharmacy settings, genetic tests, and outcomes were summarized to determine models most likely to benefit patients. RESULTS The search identified 43 studies on the use of PGx by pharmacists published between 2007 and 2020. CYP2C19 testing with antiplatelets was the most studied model, found in both community and institutional settings. It also was the most actionable test: approximately 30% of patients have polymorphisms indicating a need for alternative antiplatelets, and identifying these patients can reduce morbidity and mortality by more than 50%. As technology shifts, broader studies using multi-gene panel tests within MTM demonstrate an approximate 50% decrease in emergency visits and hospitalizations in elderly polypharmacy patients. Clinical benefit or drug-gene interactions are also found in other cardiovascular, psychiatric, analgesic, and gastrointestinal indications. No evaluations of actual costs or of pharmacist prescribing within pharmacy-based PGx have been performed. Facilitators towards successful PGx implementation included pharmacist education, collaboration with other healthcare providers, and the use of clinical decision software. CONCLUSIONS Pharmacogenomic testing has demonstrated feasibility and improved medication outcomes in pharmacy practice, including in the community pharmacy. Further PGx research should be directed towards pharmacist prescribing, pharmacist education, and pharmacoeconomics.
Collapse
Affiliation(s)
- Meagan Hayashi
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada.
| | - Dalia A Hamdy
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada; AbEx Health Services LTD, Fort Saskatchewan, Alberta, Canada.
| | - Sherif Hanafy Mahmoud
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada.
| |
Collapse
|
37
|
Wake DT, Smith DM, Kazi S, Dunnenberger HM. Pharmacogenomic Clinical Decision Support: A Review, How-to Guide, and Future Vision. Clin Pharmacol Ther 2021; 112:44-57. [PMID: 34365648 PMCID: PMC9291515 DOI: 10.1002/cpt.2387] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 07/28/2021] [Indexed: 02/06/2023]
Abstract
Clinical decision support (CDS) is an essential part of any pharmacogenomics (PGx) implementation. Increasingly, institutions have implemented CDS tools in the clinical setting to bring PGx data into patient care, and several have published their experiences with these implementations. However, barriers remain that limit the ability of some programs to create CDS tools to fit their PGx needs. Therefore, the purpose of this review is to summarize the types, functions, and limitations of PGx CDS currently in practice. Then, we provide an approachable step‐by‐step how‐to guide with a case example to help implementers bring PGx to the front lines of care regardless of their setting. Particular focus is paid to the five “rights” of CDS as a core around designing PGx CDS tools. Finally, we conclude with a discussion of opportunities and areas of growth for PGx CDS.
Collapse
Affiliation(s)
- Dyson T Wake
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - D Max Smith
- MedStar Health, Columbia, Maryland, USA.,Georgetown University Medical Center, Washington, DC, USA
| | - Sadaf Kazi
- Georgetown University Medical Center, Washington, DC, USA.,National Center for Human Factors in Healthcare, MedStar Health Research Institute Washington, Washington, DC, USA
| | - Henry M Dunnenberger
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
| |
Collapse
|
38
|
Haga SB, Mills R, Moaddeb J, Liu Y, Voora D. Delivery of Pharmacogenetic Testing with or without Medication Therapy Management in a Community Pharmacy Setting. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:785-796. [PMID: 34276225 PMCID: PMC8277445 DOI: 10.2147/pgpm.s314961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 06/16/2021] [Indexed: 11/23/2022]
Abstract
Objective The delivery of pharmacogenetic (PGx) testing has primarily been through clinical and hospital settings. We conducted a study to explore the feasibility of delivering PGx testing through community pharmacies, a less-studied setting. Methods We conducted a cluster randomized trial of community pharmacies in North Carolina through two approaches: the provision of PGx testing alone or PGx testing with medication therapy management (MTM). Results A total of 150 patient participants were enrolled at 17 pharmacies and reported high satisfaction with their testing experience. Participants in the PGx plus MTM arm were more likely to recall a higher number of results (p=0.04) and more likely to clearly understand their choices for prevention or early detection of side effects (p=0.01). A medication or dose change based on the PGx results was made for 8.7% of participants. Conclusion Limited differences were observed in the provision of PGx testing as a standalone test or combined with MTM. A limited number of treatment changes were made based on PGx test results. Patient acceptance of PGx testing offered through the community pharmacy was very high, but the addition of MTM did not impact patient-reported perceptions about PGx testing or medication adherence.
Collapse
Affiliation(s)
- Susanne B Haga
- Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, 27708, USA
| | - Rachel Mills
- Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, 27708, USA
| | - Jivan Moaddeb
- Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, 27708, USA
| | - Yiling Liu
- Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, 27708, USA
| | - Deepak Voora
- Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, 27708, USA
| |
Collapse
|
39
|
Tillman EM, Beavers CJ, Afanasjeva J, Momary KM, Strnad KG, Yerramilli A, Williams AM, Smith BA, Florczykowski B, Fahmy M. Current and future state of clinical pharmacist‐led precision medicine initiatives. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2021. [DOI: 10.1002/jac5.1447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | | | - Monica Fahmy
- American College of Clinical Pharmacy Lenexa Kansas USA
| |
Collapse
|
40
|
Kisor DF, Petry NJ, Bright DR. Pharmacogenomics in the United States Community Pharmacy Setting: The Clopidogrel- CYP2C19 Example. Pharmgenomics Pers Med 2021; 14:569-577. [PMID: 34040417 PMCID: PMC8140945 DOI: 10.2147/pgpm.s224894] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 04/26/2021] [Indexed: 12/20/2022] Open
Abstract
Pharmacogenomics (PGx) is expanding across health-care practice settings, including the community pharmacy. In the United States, models of implementation of PGx in the community pharmacy have described independent services and those layered on to medication therapy management. The drug-gene pair of clopidogrel-CYP2C19 has been a focus of implementation of PGx in community pharmacy and serves as an example of the evolution of the application of drug-gene interaction information to help optimize drug therapy. Expanded information related to this drug-gene pair has been provided by the US Food and Drug Administration and clinical PGx guidelines have and continue to be updated to support clinical decision-making. Most recently direct-to-consumer (DTC) PGx has resulted in patient generated sample collection and submission to a genetic testing-related company for analysis, with reporting of genotype and related phenotype information directly to the patient without a health-care professional guiding or even being involved in the process. The DTC testing approach needs to be considered in the development or modification of PGx service models in the community pharmacy setting. The example of clopidogrel-CYP2C19 is discussed and current models of PGx implementation in the community pharmacy in the United States are presented. New approaches to PGx services are offered as implementation continues to evolve and may now include DTC information.
Collapse
Affiliation(s)
- David F Kisor
- Manchester University, Department of Pharmaceutical Sciences and Pharmacogenomics, Fort Wayne, IN, USA
| | - Natasha J Petry
- North Dakota State University, College of Health Professions, Department of Pharmacy Practice, Fargo, ND, USA
- Sanford Imagenetics, Sioux Falls, ND, USA
| | - David R Bright
- Ferris State University, Department of Pharmaceutical Sciences, Big Rapids, MI, USA
| |
Collapse
|
41
|
Implementing Pharmacogenomics Testing: Single Center Experience at Arkansas Children's Hospital. J Pers Med 2021; 11:jpm11050394. [PMID: 34064668 PMCID: PMC8150685 DOI: 10.3390/jpm11050394] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/03/2021] [Accepted: 05/06/2021] [Indexed: 02/07/2023] Open
Abstract
Pharmacogenomics (PGx) is a growing field within precision medicine. Testing can help predict adverse events and sub-therapeutic response risks of certain medications. To date, the US FDA lists over 280 drugs which provide biomarker-based dosing guidance for adults and children. At Arkansas Children’s Hospital (ACH), a clinical PGx laboratory-based test was developed and implemented to provide guidance on 66 pediatric medications for genotype-guided dosing. This PGx test consists of 174 single nucleotide polymorphisms (SNPs) targeting 23 clinically actionable PGx genes or gene variants. Individual genotypes are processed to provide per-gene discrete results in star-allele and phenotype format. These results are then integrated into EPIC- EHR. Genomic indicators built into EPIC-EHR provide the source for clinical decision support (CDS) for clinicians, providing genotype-guided dosing.
Collapse
|
42
|
Luczak T, Brown SJ, Armbruster D, Hundertmark M, Brown J, Stenehjem D. Strategies and settings of clinical pharmacogenetic implementation: a scoping review of pharmacogenetics programs. Pharmacogenomics 2021; 22:345-364. [PMID: 33829852 DOI: 10.2217/pgs-2020-0181] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Pharmacogenetic (PGx) literature has shown beneficial outcomes in safety, efficacy and cost when evidence-based gene-drug decision making is incorporated into clinical practice. PGx programs with successfully implemented clinical services have been published in a variety of settings including academic health centers and community practice. The primary objective was to systematically scope the literature to characterize the current trends, extent, range and nature of clinical PGx programs. Forty articles representing 19 clinical PGx programs were included in analysis. Most programs are in urban, academic institutions. Education, governance and workflow were commonly described while billing/reimbursement and consent were not. This review provides an overview of current PGx models that can be used as a reference for institutions beginning the implementation process.
Collapse
Affiliation(s)
- Tiana Luczak
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA.,Essentia Health, Duluth, MN 55805, USA
| | - Sarah Jane Brown
- Health Sciences Libraries, University of Minnesota, MN 55455, USA
| | - Danielle Armbruster
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA
| | - Megan Hundertmark
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA
| | - Jacob Brown
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA
| | - David Stenehjem
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA
| |
Collapse
|
43
|
Writer R, Barthen C, Antinopoulos B, Uber R, Stevenson JM, Berenbrok LA. How community pharmacists envision using pharmacogenomic data: A qualitative analysis. J Am Pharm Assoc (2003) 2021; 61:e64-e70. [PMID: 33893058 DOI: 10.1016/j.japh.2021.04.001] [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: 12/29/2020] [Revised: 03/17/2021] [Accepted: 04/01/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Nearly 300 medications contain pharmacogenomic information in their labeling approved by the U.S. Food and Drug Administration. As this number continues to grow, community pharmacists will be called on to use available pharmacogenomic data at the point of dispensing. OBJECTIVE This qualitative study aimed to describe how pharmacists envision the integration of pharmacogenomic data into the current workflows of community pharmacy practice. METHODS Community pharmacists from a regional supermarket chain pharmacy in the greater Pittsburgh area were interviewed using a semistructured interview guide. Participating pharmacists were presented with 3 clinical scenarios, followed by questions, to gain insight into how they envisioned the integration of pharmacogenomic data into community pharmacy workflow. The interview transcriptions were transcribed and coded. The content was analyzed to deduce the final themes. Supporting quotes were selected to illustrate each theme. RESULTS Ten community pharmacists from 3 different pharmacy locations participated in the study. A thematic analysis produced 6 themes: (1) integrating pharmacogenomic data into the dispensing software, (2) receiving an alert for pharmacogenomic information within the dispensing software, (3) accessing pharmacogenomic clinical guidelines to guide drug-decision-making, (4) contacting the prescriber by adding a task to the call queue, (5) placing a mandatory counseling alert on medications that were adjusted using pharmacogenomic data, and (6) counseling the patient on the first refill of a medication that was adjusted using pharmacogenomic data. CONCLUSION This study describes how pharmacists envisioned the integration of pharmacogenomic data into community pharmacy workflow. The participants sought the integration of pharmacogenomic data into existing dispensing software, alerts for actionable prescribing changes using patient-specific pharmacogenomic data when available, and access to clinical decision support. In addition, the participants preferred to engage prescribers and receive alerts to counsel patients at prescription pick-up. These findings are key to integrating pharmacogenomic data into community pharmacy practice.
Collapse
|
44
|
Liko I, Corbin L, Tobin E, Aquilante CL, Lee YM. Implementation of a pharmacist-provided pharmacogenomics service in an executive health program. Am J Health Syst Pharm 2021; 78:1094-1103. [PMID: 33772264 DOI: 10.1093/ajhp/zxab137] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
PURPOSE We describe the implementation of a pharmacist-provided pharmacogenomics (PGx) service in an executive health program (EHP) at an academic medical center. SUMMARY As interest in genomic testing grows, pharmacists have the opportunity to advance the use of PGx in EHPs, in collaboration with other healthcare professionals. In November 2018, a pharmacist-provided PGx service was established in the EHP at the University of Colorado Hospital. The team members included 3 physicians, a pharmacist trained in PGx, a registered dietitian/exercise physiologist, a nurse, and 2 medical assistants. We conducted 4 preimplementation steps: (1) assessment of the patient population, (2) selection of a PGx test, (3) establishment of a visit structure, and (4) selection of a billing model. The PGx consultations involved two 1-hour visits. The first visit encompassed pretest PGx education, review of the patient's current medications and previous medication intolerances, and DNA sample collection for genotyping. After this visit, the pharmacist developed a therapeutic plan based on the PGx test results, discussed the results and plan with the physician, and created a personalized PGx report. At the second visit, the pharmacist reviewed the PGx test results, personalized the PGx report, and discussed the PGx-guided therapeutic plan with the patient. Overall, the strategy worked well; minor challenges included evaluation of gene-drug pairs with limited PGx evidence, communication of information to non-EHP providers, scheduling issues, and reimbursement. CONCLUSION The addition of a PGx service within an EHP was feasible and provided pharmacists the opportunity to lead PGx efforts and collaborate with physicians to expand the precision medicine footprint at an academic medical center.
Collapse
Affiliation(s)
- Ina Liko
- Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO,USA
| | - Lisa Corbin
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO,USA
| | - Eric Tobin
- Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO,USA
| | - Christina L Aquilante
- Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO,USA
| | - Yee Ming Lee
- Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO,USA
| |
Collapse
|
45
|
Wake DT, Bell GC, Gregornik DB, Ho TT, Dunnenberger HM. Synthesis of major pharmacogenomics pretest counseling themes: a multisite comparison. Pharmacogenomics 2021; 22:165-176. [PMID: 33461326 DOI: 10.2217/pgs-2020-0168] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
The accessibility of pharmacogenomic (PGx) testing has grown substantially over the last decade and with it has arisen a demand for patients to be counseled on the use of these tests. While guidelines exist for the use of PGx results; objective determinants for who should receive PGx testing remain incomplete. PGx clinical services have been created to meet these screening and education needs and significant variability exists between these programs. This article describes the practices of four PGx clinics during pretest counseling sessions. A description of the major tenets of the benefits, limitations and risks of testing are compiled. Additional tools are provided to serve as a foundation for those wishing to begin or expand their own counseling service.
Collapse
Affiliation(s)
- Dyson T Wake
- Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL 60201, USA
| | - Gillian C Bell
- Genetics & Personalized Medicine Department, Mission Health, Asheville, NC 28803, USA
| | - David B Gregornik
- Pharmacogenomics Program, Children's Minnesota, Minneapolis, MN 55404, USA
| | - Teresa T Ho
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA
| | - Henry M Dunnenberger
- Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL 60201, USA
| |
Collapse
|
46
|
Rothschild AJ, Parikh SV, Hain D, Law R, Thase ME, Dunlop BW, DeBattista C, Conway CR, Forester BP, Shelton RC, Macaluso M, Brown K, Lewis D, Gutin A, Jablonski MR, Greden JF. Clinical validation of combinatorial pharmacogenomic testing and single-gene guidelines in predicting psychotropic medication blood levels and clinical outcomes in patients with depression. Psychiatry Res 2021; 296:113649. [PMID: 33360967 DOI: 10.1016/j.psychres.2020.113649] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 12/12/2020] [Indexed: 12/13/2022]
Abstract
We evaluated the clinical validity of a combinatorial pharmacogenomic test and single-gene Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines against patient outcomes and medication blood levels to assess their ability to inform prescribing in major depressive disorder (MDD). This is a secondary analysis of the Genomics Used to Improve DEpression Decisions (GUIDED) randomized-controlled trial, which included patients with a diagnosis of MDD, and ≥1 prior medication failure. The ability to predict increased/decreased medication metabolism was validated against blood levels at screening (adjusted for age, sex, smoking status). The ability of predicted gene-drug interactions (pharmacogenomic test) or therapeutic recommendations (single-gene guidelines) to predict patient outcomes was validated against week 8 outcomes (17-item Hamilton Depression Rating Scale; symptom improvement, response, remission). Analyses were performed for patients taking any eligible medication (outcomes N=1,022, blood levels N=1,034) and the subset taking medications with single-gene guidelines (outcomes N=584, blood levels N=372). The combinatorial pharmacogenomic test was the only significant predictor of patient outcomes. Both the combinatorial pharmacogenomic test and single-gene guidelines were significant predictors of blood levels for all medications when evaluated separately; however, only the combinatorial pharmacogenomic test remained significant when both were included in the multivariate model. There were no substantial differences when all medications were evaluated or for the subset with single-gene guidelines. Overall, this evaluation of clinical validity demonstrates that the combinatorial pharmacogenomic test was a superior predictor of patient outcomes and medication blood levels when compared with guidelines based on individual genes.
Collapse
Affiliation(s)
- Anthony J Rothschild
- University of Massachusetts Medical School and UMass Memorial Healthcare, Worcester, MA 01655, United States.
| | - Sagar V Parikh
- University of Michigan Comprehensive Depression Center and Department of Psychiatry, and National Network of Depression Centers, Ann Arbor, MI 48109, United States
| | - Daniel Hain
- Myriad Neuroscience, Mason, OH 45040, United States
| | - Rebecca Law
- Myriad Neuroscience, Mason, OH 45040, United States
| | - Michael E Thase
- Perelman School of Medicine of the University of Pennsylvania and the Corporal Michael Crescenz VAMC, Philadelphia, PA 19104, United States
| | - Boadie W Dunlop
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30329, United States
| | - Charles DeBattista
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, United States
| | - Charles R Conway
- Department of Psychiatry, Washington University School of Medicine, and the John Cochran Veteran's Administration Hospital, St. Louis, MO 63110, United States
| | - Brent P Forester
- McLean Hospital, Division of Geriatric Psychiatry, Belmont, MA 02478, United States; Harvard Medical School, Boston, MA, United States
| | - Richard C Shelton
- Department of Psychiatry and Behavioral Neurobiology and School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States
| | - Matthew Macaluso
- Department of Psychiatry and Behavioral Neurobiology and School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States
| | - Krystal Brown
- Myriad Genetics, Inc., Salt Lake City, UT 84108, United States
| | - David Lewis
- Myriad Neuroscience, Mason, OH 45040, United States
| | - Alexander Gutin
- Myriad Genetics, Inc., Salt Lake City, UT 84108, United States
| | | | - John F Greden
- University of Michigan Comprehensive Depression Center and Department of Psychiatry, and National Network of Depression Centers, Ann Arbor, MI 48109, United States
| |
Collapse
|
47
|
Ward KM, Taubman DS, Pasternak AL, Burghardt KJ, Ellingrod VL, Parikh SV. Teaching psychiatric pharmacogenomics effectively: Evaluation of a novel interprofessional online course. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2021. [DOI: 10.1002/jac5.1381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Kristen M. Ward
- Department of Clinical Pharmacy, College of Pharmacy University of Michigan Ann Arbor Michigan USA
| | | | - Amy L. Pasternak
- Department of Clinical Pharmacy, College of Pharmacy University of Michigan Ann Arbor Michigan USA
| | - Kyle J. Burghardt
- Department of Pharmacy Practice, Eugene Applebaum College of Pharmacy and Health Sciences Wayne State University Detroit Michigan USA
| | - Vicki L. Ellingrod
- Department of Clinical Pharmacy, College of Pharmacy University of Michigan Ann Arbor Michigan USA
- Department of Psychiatry, School of Medicine University of Michigan Ann Arbor Michigan USA
| | - Sagar V. Parikh
- Department of Psychiatry University of Michigan Ann Arbor Michigan USA
| |
Collapse
|
48
|
Johengen EK, Ward KM, Coe AB, Pasternak AL. Assessing the knowledge, perceptions, and practices of primary care clinicians toward pharmacogenetics. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2021. [DOI: 10.1002/jac5.1341] [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)
| | - Kristen M. Ward
- Michigan Medicine Ann Arbor Michigan USA
- Department of Clinical Pharmacy University of Michigan College of Pharmacy Ann Arbor Michigan USA
| | - Antoinette B. Coe
- Department of Clinical Pharmacy University of Michigan College of Pharmacy Ann Arbor Michigan USA
| | - Amy L. Pasternak
- Michigan Medicine Ann Arbor Michigan USA
- Department of Clinical Pharmacy University of Michigan College of Pharmacy Ann Arbor Michigan USA
| |
Collapse
|
49
|
Nicholson WT, Formea CM, Matey ET, Wright JA, Giri J, Moyer AM. Considerations When Applying Pharmacogenomics to Your Practice. Mayo Clin Proc 2021; 96:218-230. [PMID: 33308868 DOI: 10.1016/j.mayocp.2020.03.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 02/24/2020] [Accepted: 03/17/2020] [Indexed: 10/22/2022]
Abstract
Many practitioners who have not had pharmacogenomic education are required to apply pharmacogenomics to their practices. Although many aspects of pharmacogenomics are similar to traditional concepts of drug-drug interactions, there are some differences. We searched PubMed with the search terms pharmacogenomics and pharmacogenetics (January 1, 2005, through December 31, 2019) and selected articles that supported the application of pharmacogenomics to practice. For inclusion, we gave preference to national and international consortium guidelines for implementation of pharmacogenomics. We discuss special considerations important in the application of pharmacogenomics to assist clinicians with ordering, interpreting, and applying pharmacogenomics in their practices.
Collapse
Affiliation(s)
- Wayne T Nicholson
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN.
| | - Christine M Formea
- Intermountain Healthcare Department of Pharmacy Services Pharmacy Services, Salt Lake City, UT; Intermountain Precision Genomics, Intermountain Healthcare, St George, UT
| | - Eric T Matey
- Department of Pharmacy, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN
| | - Jessica A Wright
- Department of Pharmacy, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN
| | - Jyothsna Giri
- Mayo Clinic Center for Individualized Medicine, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN
| | - Ann M Moyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN
| |
Collapse
|
50
|
Malsagova KA, Butkova TV, Kopylov AT, Izotov AA, Potoldykova NV, Enikeev DV, Grigoryan V, Tarasov A, Stepanov AA, Kaysheva AL. Pharmacogenetic Testing: A Tool for Personalized Drug Therapy Optimization. Pharmaceutics 2020; 12:E1240. [PMID: 33352764 PMCID: PMC7765968 DOI: 10.3390/pharmaceutics12121240] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 12/15/2020] [Accepted: 12/17/2020] [Indexed: 12/14/2022] Open
Abstract
Pharmacogenomics is a study of how the genome background is associated with drug resistance and how therapy strategy can be modified for a certain person to achieve benefit. The pharmacogenomics (PGx) testing becomes of great opportunity for physicians to make the proper decision regarding each non-trivial patient that does not respond to therapy. Although pharmacogenomics has become of growing interest to the healthcare market during the past five to ten years the exact mechanisms linking the genetic polymorphisms and observable responses to drug therapy are not always clear. Therefore, the success of PGx testing depends on the physician's ability to understand the obtained results in a standardized way for each particular patient. The review aims to lead the reader through the general conception of PGx and related issues of PGx testing efficiency, personal data security, and health safety at a current clinical level.
Collapse
Affiliation(s)
- Kristina A. Malsagova
- Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; (T.V.B.); (A.T.K.); (A.A.I.); (A.A.S.); (A.L.K.)
| | - Tatyana V. Butkova
- Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; (T.V.B.); (A.T.K.); (A.A.I.); (A.A.S.); (A.L.K.)
| | - Arthur T. Kopylov
- Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; (T.V.B.); (A.T.K.); (A.A.I.); (A.A.S.); (A.L.K.)
| | - Alexander A. Izotov
- Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; (T.V.B.); (A.T.K.); (A.A.I.); (A.A.S.); (A.L.K.)
| | - Natalia V. Potoldykova
- Institute of Urology and Reproductive Health, Sechenov University, 119992 Moscow, Russia; (N.V.P.); (D.V.E.); (V.G.)
| | - Dmitry V. Enikeev
- Institute of Urology and Reproductive Health, Sechenov University, 119992 Moscow, Russia; (N.V.P.); (D.V.E.); (V.G.)
| | - Vagarshak Grigoryan
- Institute of Urology and Reproductive Health, Sechenov University, 119992 Moscow, Russia; (N.V.P.); (D.V.E.); (V.G.)
| | - Alexander Tarasov
- Institute of Linguistics and Intercultural Communication, Sechenov University, 119992 Moscow, Russia;
| | - Alexander A. Stepanov
- Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; (T.V.B.); (A.T.K.); (A.A.I.); (A.A.S.); (A.L.K.)
| | - Anna L. Kaysheva
- Biobanking Group, Branch of Institute of Biomedical Chemistry “Scientific and Education Center”, 109028 Moscow, Russia; (T.V.B.); (A.T.K.); (A.A.I.); (A.A.S.); (A.L.K.)
| |
Collapse
|