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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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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