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A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings
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 implemen...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410119/ https://www.ncbi.nlm.nih.gov/pubmed/36013262 http://dx.doi.org/10.3390/jpm12081313 |
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author | Sperber, Nina R. Cragun, Deborah Roberts, Megan C. Bendz, Lisa M. Ince, Parker Gonzales, Sarah Haga, Susanne B. Wu, R. Ryanne Petry, Natasha J. Ramsey, Laura Uber, Ryley |
author_facet | Sperber, Nina R. Cragun, Deborah Roberts, Megan C. Bendz, Lisa M. Ince, Parker Gonzales, Sarah Haga, Susanne B. Wu, R. Ryanne Petry, Natasha J. Ramsey, Laura Uber, Ryley |
author_sort | Sperber, Nina R. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9410119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94101192022-08-26 A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings Sperber, Nina R. Cragun, Deborah Roberts, Megan C. Bendz, Lisa M. Ince, Parker Gonzales, Sarah Haga, Susanne B. Wu, R. Ryanne Petry, Natasha J. Ramsey, Laura Uber, Ryley J Pers Med Article 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. MDPI 2022-08-13 /pmc/articles/PMC9410119/ /pubmed/36013262 http://dx.doi.org/10.3390/jpm12081313 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sperber, Nina R. Cragun, Deborah Roberts, Megan C. Bendz, Lisa M. Ince, Parker Gonzales, Sarah Haga, Susanne B. Wu, R. Ryanne Petry, Natasha J. Ramsey, Laura Uber, Ryley A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings |
title | A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings |
title_full | A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings |
title_fullStr | A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings |
title_full_unstemmed | A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings |
title_short | A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings |
title_sort | mixed-methods protocol to identify best practices for implementing pharmacogenetic testing in clinical settings |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410119/ https://www.ncbi.nlm.nih.gov/pubmed/36013262 http://dx.doi.org/10.3390/jpm12081313 |
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