Title |
Multisite Investigation of Strategies for the Implementation of CYP2C19 Genotype‐Guided Antiplatelet Therapy
|
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Published in |
Clinical Pharmacology & Therapeutics, January 2018
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DOI | 10.1002/cpt.1006 |
Pubmed ID | |
Authors |
Philip E. Empey, James M. Stevenson, Sony Tuteja, Kristin W. Weitzel, Dominick J. Angiolillo, Amber L. Beitelshees, James C. Coons, Julio D. Duarte, Francesco Franchi, Linda J.B. Jeng, Julie A. Johnson, Rolf P. Kreutz, Nita A. Limdi, Kristin A. Maloney, Aniwaa Owusu Obeng, Josh F. Peterson, Natasha Petry, Victoria M. Pratt, Fabiana Rollini, Stuart A. Scott, Todd C. Skaar, Mark R. Vesely, George A. Stouffer, Russell A. Wilke, Larisa H. Cavallari, Craig R. Lee, on behalf of the IGNITE Network |
Abstract |
CYP2C19 genotype-guided antiplatelet therapy following percutaneous coronary intervention is increasingly implemented in clinical practice. However, challenges such as selecting a testing platform, communicating test results, building clinical decision support processes, providing patient and provider education, and integrating methods to support the translation of emerging evidence to clinical practice are barriers to broad adoption. In this report, we compare and contrast implementation strategies of 12 early adopters, describing solutions to common problems and initial performance metrics for each program. Key differences between programs included the test result turnaround time and timing of therapy changes which are both related to CYP2C19 testing model and platform used. Sites reported the need for new informatics infrastructure, expert clinicians such as pharmacists to interpret results, physician champions, and ongoing education. Consensus lessons learned are presented to provide a path forward for those seeking to implement similar clinical pharmacogenomics programs within their institutions. This article is protected by copyright. All rights reserved. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 83% |
Unknown | 2 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 67% |
Scientists | 4 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 75 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 11% |
Student > Doctoral Student | 8 | 11% |
Researcher | 7 | 9% |
Other | 6 | 8% |
Student > Bachelor | 5 | 7% |
Other | 16 | 21% |
Unknown | 25 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 21 | 28% |
Pharmacology, Toxicology and Pharmaceutical Science | 16 | 21% |
Nursing and Health Professions | 3 | 4% |
Agricultural and Biological Sciences | 2 | 3% |
Computer Science | 2 | 3% |
Other | 3 | 4% |
Unknown | 28 | 37% |