Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE Network

The complexity of genomic medicine can be streamlined by implementing some form of clinical decision support (CDS) to guide clinicians in how to use and interpret personalized data; however, it is not yet clear which strategies are best suited for this purpose. In this study, we used implementation...

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Main Authors: Nina R. Sperber, Olivia M. Dong, Megan C. Roberts, Paul Dexter, Amanda R. Elsey, Geoffrey S. Ginsburg, Carol R. Horowitz, Julie A. Johnson, Kenneth D. Levy, Henry Ong, Josh F. Peterson, Toni I. Pollin, Tejinder Rakhra-Burris, Michelle A. Ramos, Todd Skaar, Lori A. Orlando
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Journal of Personalized Medicine
Subjects:
Online Access:https://www.mdpi.com/2075-4426/11/7/647
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spelling doaj-e98fb7e1298e4c2fb30bf1f10f67e3152021-07-23T13:49:31ZengMDPI AGJournal of Personalized Medicine2075-44262021-07-011164764710.3390/jpm11070647Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE NetworkNina R. Sperber0Olivia M. Dong1Megan C. Roberts2Paul Dexter3Amanda R. Elsey4Geoffrey S. Ginsburg5Carol R. Horowitz6Julie A. Johnson7Kenneth D. Levy8Henry Ong9Josh F. Peterson10Toni I. Pollin11Tejinder Rakhra-Burris12Michelle A. Ramos13Todd Skaar14Lori A. Orlando15Duke Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27701, USACenter for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC 27708, USADivision of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USARegenstrief Institute, Indianapolis, Indiana University School of Medicine and Clem McDonald Center for Biomedical Informatics, Indianapolis, IN 46202, USACenter for Pharmacogenomics and Precision Medicine, Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, FL 32610, USACenter for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC 27708, USAInstitute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USACenter for Pharmacogenomics and Precision Medicine, Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, FL 32610, USADivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, 950 W. Walnut Street, Indianapolis, IN 46202, USADepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USADepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USADivision of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USACenter for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC 27708, USADepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USADivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, 950 W. Walnut Street, Indianapolis, IN 46202, USACenter for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC 27708, USAThe complexity of genomic medicine can be streamlined by implementing some form of clinical decision support (CDS) to guide clinicians in how to use and interpret personalized data; however, it is not yet clear which strategies are best suited for this purpose. In this study, we used implementation science to identify common strategies for applying provider-based CDS interventions across six genomic medicine clinical research projects funded by an NIH consortium. Each project’s strategies were elicited via a structured survey derived from a typology of implementation strategies, the Expert Recommendations for Implementing Change (ERIC), and follow-up interviews guided by both implementation strategy reporting criteria and a planning framework, RE-AIM, to obtain more detail about implementation strategies and desired outcomes. We found that, on average, the three pharmacogenomics implementation projects used more strategies than the disease-focused projects. Overall, projects had four implementation strategies in common; however, operationalization of each differed in accordance with each study’s implementation outcomes. These four common strategies may be important for precision medicine program implementation, and pharmacogenomics may require more integration into clinical care. Understanding how and why these strategies were successfully employed could be useful for others implementing genomic or precision medicine programs in different contexts.https://www.mdpi.com/2075-4426/11/7/647genomic medicineclinical decision supportimplementation science
collection DOAJ
language English
format Article
sources DOAJ
author Nina R. Sperber
Olivia M. Dong
Megan C. Roberts
Paul Dexter
Amanda R. Elsey
Geoffrey S. Ginsburg
Carol R. Horowitz
Julie A. Johnson
Kenneth D. Levy
Henry Ong
Josh F. Peterson
Toni I. Pollin
Tejinder Rakhra-Burris
Michelle A. Ramos
Todd Skaar
Lori A. Orlando
spellingShingle Nina R. Sperber
Olivia M. Dong
Megan C. Roberts
Paul Dexter
Amanda R. Elsey
Geoffrey S. Ginsburg
Carol R. Horowitz
Julie A. Johnson
Kenneth D. Levy
Henry Ong
Josh F. Peterson
Toni I. Pollin
Tejinder Rakhra-Burris
Michelle A. Ramos
Todd Skaar
Lori A. Orlando
Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE Network
Journal of Personalized Medicine
genomic medicine
clinical decision support
implementation science
author_facet Nina R. Sperber
Olivia M. Dong
Megan C. Roberts
Paul Dexter
Amanda R. Elsey
Geoffrey S. Ginsburg
Carol R. Horowitz
Julie A. Johnson
Kenneth D. Levy
Henry Ong
Josh F. Peterson
Toni I. Pollin
Tejinder Rakhra-Burris
Michelle A. Ramos
Todd Skaar
Lori A. Orlando
author_sort Nina R. Sperber
title Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE Network
title_short Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE Network
title_full Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE Network
title_fullStr Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE Network
title_full_unstemmed Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE Network
title_sort strategies to integrate genomic medicine into clinical care: evidence from the ignite network
publisher MDPI AG
series Journal of Personalized Medicine
issn 2075-4426
publishDate 2021-07-01
description The complexity of genomic medicine can be streamlined by implementing some form of clinical decision support (CDS) to guide clinicians in how to use and interpret personalized data; however, it is not yet clear which strategies are best suited for this purpose. In this study, we used implementation science to identify common strategies for applying provider-based CDS interventions across six genomic medicine clinical research projects funded by an NIH consortium. Each project’s strategies were elicited via a structured survey derived from a typology of implementation strategies, the Expert Recommendations for Implementing Change (ERIC), and follow-up interviews guided by both implementation strategy reporting criteria and a planning framework, RE-AIM, to obtain more detail about implementation strategies and desired outcomes. We found that, on average, the three pharmacogenomics implementation projects used more strategies than the disease-focused projects. Overall, projects had four implementation strategies in common; however, operationalization of each differed in accordance with each study’s implementation outcomes. These four common strategies may be important for precision medicine program implementation, and pharmacogenomics may require more integration into clinical care. Understanding how and why these strategies were successfully employed could be useful for others implementing genomic or precision medicine programs in different contexts.
topic genomic medicine
clinical decision support
implementation science
url https://www.mdpi.com/2075-4426/11/7/647
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