A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings.
A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings.
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DOI：
10.3390/jpm12081313
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发表时间：
2022-08-13
影响因子：
--
通讯作者：
Uber, Ryley
中科院分区：
文献类型：
--
作者：
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
关键词：
使用患者的遗传信息来指导药物处方可能在临床上有效；然而，这种做法并未得到广泛实施。卫生系统需要有关如何与提供者合作以提高药物遗传学测试利用率的指导。实施科学领域的方法可能会揭示影响遗传药理学测试在现实环境和目标领域中使用的复杂因素，以提高利用率。本文提出了一种研究精准医学应用的方法，该方法利用混合定性和定量方法以及实施科学框架来了解哪些因素或组合一致地解释了药物遗传学测试的高利用率和低利用率。这种方法包括两个阶段：（1）从四个临床机构的提供者（病例）收集定性和定量数据，了解他们在药物遗传学测试方面的经验和利用情况，以确定显着因素； (2) 使用配置比较法 (CCM) 进行分析，使用数学算法来识别区分利用率较高的提供商和利用率较低的提供商的最低必要和充分因素。这种方法的优点是它可以用于小到中等的样本量，并且通过演示它们如何一致影响利用率来解释现实环境中发现的条件。
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.
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影响因子：
3.2
作者：
Hsieh, HF;Shannon, SE
通讯作者：
Shannon, SE
DOI：
10.1186/1748-5908-4-50
发表时间：
2009-08-07
期刊：
Implementation science : IS
影响因子：
--
作者：
Damschroder LJ;Aron DC;Keith RE;Kirsh SR;Alexander JA;Lowery JC
通讯作者：
Lowery JC
影响因子：
64.8
作者：
Green ED;Gunter C;Biesecker LG;Di Francesco V;Easter CL;Feingold EA;Felsenfeld AL;Kaufman DJ;Ostrander EA;Pavan WJ;Phillippy AM;Wise AL;Dayal JG;Kish BJ;Mandich A;Wellington CR;Wetterstrand KA;Bates SA;Leja D;Vasquez S;Gahl WA;Graham BJ;Kastner DL;Liu P;Rodriguez LL;Solomon BD;Bonham VL;Brody LC;Hutter CM;Manolio TA
通讯作者：
Manolio TA
影响因子：
64.8
作者：
Relling MV;Evans WE
通讯作者：
Evans WE
影响因子：
6.7
作者：
Ramsey, Laura B.;Prows, Cynthia A.;Glauser, Tracy A.
通讯作者：
Glauser, Tracy A.