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Johnson D, Del Fiol G, Kawamoto K, Romagnoli KM, Sanders N, Isaacson G, Jenkins E, Williams MS. Genetically guided precision medicine clinical decision support tools: a systematic review. J Am Med Inform Assoc 2024; 31:1183-1194. [PMID: 38558013 PMCID: PMC11031215 DOI: 10.1093/jamia/ocae033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 02/06/2024] [Accepted: 02/26/2024] [Indexed: 04/04/2024] Open
Abstract
OBJECTIVES Patient care using genetics presents complex challenges. Clinical decision support (CDS) tools are a potential solution because they provide patient-specific risk assessments and/or recommendations at the point of care. This systematic review evaluated the literature on CDS systems which have been implemented to support genetically guided precision medicine (GPM). MATERIALS AND METHODS A comprehensive search was conducted in MEDLINE and Embase, encompassing January 1, 2011-March 14, 2023. The review included primary English peer-reviewed research articles studying humans, focused on the use of computers to guide clinical decision-making and delivering genetically guided, patient-specific assessments, and/or recommendations to healthcare providers and/or patients. RESULTS The search yielded 3832 unique articles. After screening, 41 articles were identified that met the inclusion criteria. Alerts and reminders were the most common form of CDS used. About 27 systems were integrated with the electronic health record; 2 of those used standards-based approaches for genomic data transfer. Three studies used a framework to analyze the implementation strategy. DISCUSSION Findings include limited use of standards-based approaches for genomic data transfer, system evaluations that do not employ formal frameworks, and inconsistencies in the methodologies used to assess genetic CDS systems and their impact on patient outcomes. CONCLUSION We recommend that future research on CDS system implementation for genetically GPM should focus on implementing more CDS systems, utilization of standards-based approaches, user-centered design, exploration of alternative forms of CDS interventions, and use of formal frameworks to systematically evaluate genetic CDS systems and their effects on patient care.
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Affiliation(s)
- Darren Johnson
- Department of Genomic Health, Geisinger Health Systems, Danville, PA 17822, United States
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108, United States
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108, United States
| | - Katrina M Romagnoli
- Department of Genomic Health, Geisinger Health Systems, Danville, PA 17822, United States
| | - Nathan Sanders
- School of Medicine, Geisinger Health Systems, Danville, PA 17822, United States
| | - Grace Isaacson
- Family Medicine, Penn Highlands Healthcare, DuBois, PA 16830, United States
| | - Elden Jenkins
- School of Medicine, Noorda College of Osteopathic Medicine, Provo, UT 84606, United States
| | - Marc S Williams
- Department of Genomic Health, Geisinger Health Systems, Danville, PA 17822, United States
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2
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Tang Girdwood S, Hall M, Antoon JW, Kyler KE, Williams DJ, Shah SS, Orth LE, Goldman J, Feinstein JA, Ramsey LB. Opportunities for Pharmacogenetic Testing to Guide Dosing of Medications in Youths With Medicaid. JAMA Netw Open 2024; 7:e2355707. [PMID: 38349656 PMCID: PMC10865156 DOI: 10.1001/jamanetworkopen.2023.55707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 12/19/2023] [Indexed: 02/15/2024] Open
Abstract
Importance There are an increasing number of medications with a high level of evidence for pharmacogenetic-guided dosing (PGx drugs). Knowledge of the prevalence of dispensings of PGx drugs and their associated genes may allow hospitals and clinical laboratories to determine which pharmacogenetic tests to implement. Objectives To investigate the prevalence of outpatient dispensings of PGx drugs among Medicaid-insured youths, determine genes most frequently associated with PGx drug dispenses, and describe characteristics of youths who were dispensed at least 1 PGx drug. Design, Setting, and Participants This serial cross-sectional study includes data from 2011 to 2019 among youths aged 0 to 17 years in the Marketscan Medicaid database. Data were analyzed from August to December 2022. Main Outcomes and Measures PGx drugs were defined as any medication with level A evidence as determined by the Clinical Pharmacogenetics Implementation Consortium (CPIC). The number of unique youths dispensed each PGx drug in each year was determined. PGx drugs were grouped by their associated genes for which there was CPIC level A evidence to guide dosing, and a dispensing rate (No. of PGx drugs/100 000 youths) was determined for each group for the year 2019. Demographics were compared between youths dispensed at least 1 PGx drug and those not dispensed any PGx drugs. Results The number of Medicaid-insured youths queried ranged by year from 2 078 683 youths in 2011 to 4 641 494 youths in 2017, including 4 126 349 youths (median [IQR] age, 9 [5-13] years; 2 129 926 males [51.6%]) in 2019. The proportion of Medicaid-insured youths dispensed PGx drugs increased from 289 709 youths (13.9%; 95% CI, 13.8%-14.0%) in 2011 to 740 072 youths (17.9%; 95% CI, 17.9%-18.0%) in 2019. Genes associated with the most frequently dispensed medications were CYP2C9, CYP2D6, and CYP2C19 (9197.0 drugs [95% CI, 9167.7-9226.3 drugs], 8731.5 drugs [95% CI, 8702.5-8759.5 drugs], and 3426.8 drugs [95% CI, 3408.1-3443.9 drugs] per 100 000 youths, respectively). There was a higher percentage of youths with at least 1 chronic medical condition among youths dispensed at least 1 PGx drug (510 445 youths [69.0%; 95% CI, 68.8%-69.1%]) than among 3 386 277 youths dispensed no PGx drug (1 381 544 youths [40.8%; 95% CI, 40.7%-40.9%) (P < .001) in 2019. Conclusions and Relevance In this study, there was an increasing prevalence of dispensings for PGx drugs. This finding suggests that pharmacogenetic testing of specific drug-gene pairs should be considered for frequently prescribed PGx drugs and their implicated genes.
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Affiliation(s)
- Sonya Tang Girdwood
- Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Division of Translational and Clinical Pharmacology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | | | - James W. Antoon
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee
- Division of Hospital Medicine, Monroe Carell Jr Children's Hospital at Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kathryn E. Kyler
- Division of Hospital Medicine, Children’s Mercy Kansas City, Kansas City, Missouri
- Division of Clinical Pharmacology, Children’s Mercy Kansas City, Kansas City, Missouri
- School of Medicine, University of Missouri-Kansas City
| | - Derek J. Williams
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee
- Division of Hospital Medicine, Monroe Carell Jr Children's Hospital at Vanderbilt University Medical Center, Nashville, Tennessee
| | - Samir S. Shah
- Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Division of Infectious Diseases, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Lucas E. Orth
- Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy, Aurora
| | - Jennifer Goldman
- Division of Clinical Pharmacology, Children’s Mercy Kansas City, Kansas City, Missouri
- School of Medicine, University of Missouri-Kansas City
- Division of Infectious Diseases, Children’s Mercy Kansas City, Kansas City, Missouri
| | - James A. Feinstein
- Adult and Child Consortium for Health Outcomes Research and Delivery Science, Children’s Hospital Colorado, University of Colorado, Aurora
| | - Laura B. Ramsey
- Division of Clinical Pharmacology, Children’s Mercy Kansas City, Kansas City, Missouri
- School of Medicine, University of Missouri-Kansas City
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Watanabe H, Nagano N, Tsuji Y, Noto N, Ayusawa M, Morioka I. Challenges of pediatric pharmacotherapy: A narrative review of pharmacokinetics, pharmacodynamics, and pharmacogenetics. Eur J Clin Pharmacol 2024; 80:203-221. [PMID: 38078929 DOI: 10.1007/s00228-023-03598-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 11/20/2023] [Indexed: 02/07/2024]
Abstract
PURPOSE Personalized pharmacotherapy, including for the pediatric population, provides optimal treatment and has emerged as a major trend owing to advanced drug therapeutics and diversified drug selection. However, it is essential to understand the growth and developmental characteristics of this population to provide appropriate drug therapy. In recent years, clinical pharmacogenetics has accumulated knowledge in pediatric pharmacotherapy, and guidelines from professional organizations, such as the Clinical Pharmacogenetics Implementation Consortium, can be consulted to determine the efficacy of specific drugs and the risk of adverse effects. However, the existence of a large knowledge gap hinders the use of these findings in clinical practice. METHODS We provide a narrative review of the knowledge gaps in pharmacokinetics (PK) and pharmacodynamics (PD) in the pediatric population, focusing on the differences from the perspective of growth and developmental characteristics. In addition, we explored PK/PD in relation to pediatric clinical pharmacogenetics. RESULTS The lack of direct and indirect biomarkers for more accurate assessment of the effects of drug administration limits the current knowledge of PD. In addition, incorporating pharmacogenetic insights as pivotal covariates is indispensable in this comprehensive synthesis for precision therapy; therefore, we have provided recommendations regarding the current status and challenges of personalized pediatric pharmacotherapy. The integration of clinical pharmacogenetics with the health care system and institution of educational programs for health care providers is necessary for its safe and effective implementation. A comprehensive understanding of the physiological and genetic complexities of the pediatric population will facilitate the development of effective and personalized pharmacotherapeutic strategies.
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Affiliation(s)
- Hirofumi Watanabe
- Department of Pediatrics and Child Health, Nihon University School of Medicine, 30-1 Kami-cho Ooyaguchi, Itabashi-ku, Tokyo, 173-8610, Japan.
| | - Nobuhiko Nagano
- Department of Pediatrics and Child Health, Nihon University School of Medicine, 30-1 Kami-cho Ooyaguchi, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Yasuhiro Tsuji
- Laboratory of Clinical Pharmacometrics, School of Pharmacy, Nihon University, Chiba, Japan
| | - Nobutaka Noto
- Department of Pediatrics and Child Health, Nihon University School of Medicine, 30-1 Kami-cho Ooyaguchi, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Mamoru Ayusawa
- Department of Pediatrics and Child Health, Nihon University School of Medicine, 30-1 Kami-cho Ooyaguchi, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Ichiro Morioka
- Department of Pediatrics and Child Health, Nihon University School of Medicine, 30-1 Kami-cho Ooyaguchi, Itabashi-ku, Tokyo, 173-8610, Japan
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Zhao L, Giacomini KM, van der Graaf PH. Progress in Clinical Pharmacology in China: A Randomized Controlled Study to Advance Genotype-Guided Precision Medicine. Clin Pharmacol Ther 2024; 115:169-172. [PMID: 38252417 DOI: 10.1002/cpt.3126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 12/04/2023] [Indexed: 01/23/2024]
Affiliation(s)
- Liang Zhao
- Division of Quantitative Methods in Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Kathleen M Giacomini
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA
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Subasri M, Cressman C, Arje D, Schreyer L, Cooper E, Patel K, Ungar WJ, Barwick M, Denburg A, Hayeems RZ. Translating Precision Health for Pediatrics: A Scoping Review. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10050897. [PMID: 37238445 DOI: 10.3390/children10050897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/09/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023]
Abstract
Precision health aims to personalize treatment and prevention strategies based on individual genetic differences. While it has significantly improved healthcare for specific patient groups, broader translation faces challenges with evidence development, evidence appraisal, and implementation. These challenges are compounded in child health as existing methods fail to incorporate the physiology and socio-biology unique to childhood. This scoping review synthesizes the existing literature on evidence development, appraisal, prioritization, and implementation of precision child health. PubMed, Scopus, Web of Science, and Embase were searched. The included articles were related to pediatrics, precision health, and the translational pathway. Articles were excluded if they were too narrow in scope. In total, 74 articles identified challenges and solutions for putting pediatric precision health interventions into practice. The literature reinforced the unique attributes of children and their implications for study design and identified major themes for the value assessment of precision health interventions for children, including clinical benefit, cost-effectiveness, stakeholder values and preferences, and ethics and equity. Tackling these identified challenges will require developing international data networks and guidelines, re-thinking methods for value assessment, and broadening stakeholder support for the effective implementation of precision health within healthcare organizations. This research was funded by the SickKids Precision Child Health Catalyst Grant.
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Affiliation(s)
- Mathushan Subasri
- Child Health Evaluative Sciences Program, The Hospital for Sick Children Research Institute, Toronto, ON M5G 1X8, Canada
| | - Celine Cressman
- Child Health Evaluative Sciences Program, The Hospital for Sick Children Research Institute, Toronto, ON M5G 1X8, Canada
| | - Danielle Arje
- Child Health Evaluative Sciences Program, The Hospital for Sick Children Research Institute, Toronto, ON M5G 1X8, Canada
- Department of Paediatrics, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Leighton Schreyer
- Child Health Evaluative Sciences Program, The Hospital for Sick Children Research Institute, Toronto, ON M5G 1X8, Canada
| | - Erin Cooper
- Child Health Evaluative Sciences Program, The Hospital for Sick Children Research Institute, Toronto, ON M5G 1X8, Canada
| | - Komal Patel
- Child Health Evaluative Sciences Program, The Hospital for Sick Children Research Institute, Toronto, ON M5G 1X8, Canada
| | - Wendy J Ungar
- Child Health Evaluative Sciences Program, The Hospital for Sick Children Research Institute, Toronto, ON M5G 1X8, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON M5T 3M6, Canada
| | - Melanie Barwick
- Child Health Evaluative Sciences Program, The Hospital for Sick Children Research Institute, Toronto, ON M5G 1X8, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON M5T 3M6, Canada
| | - Avram Denburg
- Child Health Evaluative Sciences Program, The Hospital for Sick Children Research Institute, Toronto, ON M5G 1X8, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON M5T 3M6, Canada
- Division of Haematology/Oncology, Hospital for Sick Children, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Robin Z Hayeems
- Child Health Evaluative Sciences Program, The Hospital for Sick Children Research Institute, Toronto, ON M5G 1X8, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON M5T 3M6, Canada
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Liu M, Rossow KM, Maxwell-Horn AC, Saucier LA, Van Driest SL. Pediatric considerations for pharmacogenetic selective serotonin reuptake inhibitors clinical decision support. Pharmacotherapy 2022. [PMID: 36524442 DOI: 10.1002/phar.2751] [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: 07/15/2022] [Revised: 09/27/2022] [Accepted: 10/30/2022] [Indexed: 12/23/2022]
Abstract
Pharmacogenetic testing for psychiatry is growing at a rapid pace, with multiple sites utilizing results to help clinical decision-making. Genotype-guided dosing and drug selection have been implemented at several sites, including Vanderbilt University Medical Center, where clinical decision support (CDS) based on pharmacogenetic results went live for selective serotonin reuptake inhibitors in 2020 for both adult and pediatric patients. Effective and appropriate implementation of CYP2D6- and CYP2C19-guided CDS for the pediatric population requires consideration of the evidence for the pharmacogenetic associations, medication indications, and appropriate alternative therapies to be used when a pharmacogenetic contraindication is identified. In this article, we review these pediatric pharmacogenetic considerations for selective serotonin reuptake inhibitor CDS. We include a case study, the current literature supporting clinical recommendations, considerations when designing pediatric CDS, future implications, and examples of sertraline, (es)citalopram, paroxetine, and fluvoxamine alerts.
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Affiliation(s)
- Michelle Liu
- Department of Pharmacy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Katelyn M Rossow
- Developmental-Behavioral Pediatrics, Norton Children's Development Center, Louisville, Kentucky, USA
| | - Angela C Maxwell-Horn
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Leigh Ann Saucier
- Vanderbilt Institute for Clinical & Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sara L Van Driest
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Center for Pediatric Precision Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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7
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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.
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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
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8
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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.
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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
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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.
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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
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10
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Pharmacogenomics: From Basic Research to Clinical Implementation. J Pers Med 2021; 11:jpm11080800. [PMID: 34442444 PMCID: PMC8402167 DOI: 10.3390/jpm11080800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 08/14/2021] [Indexed: 11/17/2022] Open
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