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面向药剂师的药物基因组学信息资源的设计与评估

Design and evaluation of a pharmacogenomics information resource for pharmacists.

作者信息

Romagnoli Katrina M, Boyce Richard D, Empey Philip E, Ning Yifan, Adams Solomon, Hochheiser Harry

机构信息

Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

School of Pharmacy, University of Pittsburgh.

出版信息

J Am Med Inform Assoc. 2017 Jul 1;24(4):822-831. doi: 10.1093/jamia/ocx007.

DOI:10.1093/jamia/ocx007
PMID:28339805
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6080676/
Abstract

OBJECTIVE

To develop and evaluate a pharmacogenomics information resource for pharmacists.

MATERIALS AND METHODS

We built a pharmacogenomics information resource presenting Food and Drug Administration (FDA) drug product labelling information, refined it based on feedback from pharmacists, and conducted a comparative usability evaluation, measuring task completion time, task correctness and perceived usability. Tasks involved hypothetical clinical situations requiring interpretation of pharmacogenomics information to determine optimal prescribing for specific patients.

RESULTS

Pharmacists were better able to perform certain tasks using the redesigned resource relative to the Pharmacogenomic Knowledgebase (PharmGKB) and the FDA Table of Pharmacogenomic Biomarkers in Drug Labeling. On average, participants completed tasks in 107.5 s using our resource, compared to 188.9 s using PharmGKB and 240.2 s using the FDA table. Using the System Usability Scale, participants rated our resource 79.62 on average, compared to 53.27 for PharmGKB and 50.77 for the FDA table. Participants found the correct answers for 100% of tasks using our resource, compared to 76.9% using PharmGKB and 69.2% using the FDA table.

DISCUSSION

We present structured, clinically relevant pharmacogenomic FDA drug product label information with visualizations to help explain the relationships between gene variants, drugs, and phenotypes. The results from our evaluation suggest that user-centered interfaces for pharmacogenomics information can increase ease of access and comprehension.

CONCLUSION

A clinician-focused pharmacogenomics information resource can answer pharmacogenomics-related medication questions faster, more correctly, and more easily than widely used alternatives, as perceived by pharmacists.

摘要

目的

开发并评估一个面向药剂师的药物基因组学信息资源。

材料与方法

我们构建了一个展示美国食品药品监督管理局(FDA)药品标签信息的药物基因组学信息资源,根据药剂师的反馈对其进行完善,并开展了一项比较可用性评估,测量任务完成时间、任务正确性和感知可用性。任务涉及假设的临床情况,需要解读药物基因组学信息以确定特定患者的最佳处方。

结果

相对于药物基因组知识库(PharmGKB)和FDA药品标签中的药物基因组生物标志物表格,药剂师使用重新设计的资源能更好地完成某些任务。平均而言,参与者使用我们的资源完成任务用时107.5秒,而使用PharmGKB用时188.9秒,使用FDA表格用时240.2秒。使用系统可用性量表,参与者对我们资源的平均评分为79.62,而对PharmGKB的评分为53.27,对FDA表格的评分为50.77。使用我们的资源,参与者100%找到了任务的正确答案,而使用PharmGKB的正确率为76.9%,使用FDA表格的正确率为69.2%。

讨论

我们展示了结构化的、与临床相关的FDA药品标签药物基因组学信息,并配有可视化内容以帮助解释基因变异、药物和表型之间的关系。我们的评估结果表明,以用户为中心的药物基因组学信息界面可以提高获取和理解的便利性。

结论

药剂师认为,与广泛使用的其他资源相比,以临床医生为重点的药物基因组学信息资源能够更快、更准确、更轻松地回答与药物基因组学相关的用药问题。

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本文引用的文献

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Bringing clinical pharmacogenomics information to pharmacists: A qualitative study of information needs and resource requirements.将临床药物基因组学信息带给药剂师:一项关于信息需求和资源要求的定性研究。
Int J Med Inform. 2016 Feb;86:54-61. doi: 10.1016/j.ijmedinf.2015.11.015. Epub 2015 Nov 30.
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Physician perspectives of CYP2C19 and clopidogrel drug-gene interaction active clinical decision support alerts.医生对CYP2C19与氯吡格雷药物-基因相互作用的积极临床决策支持警报的看法。
Int J Med Inform. 2016 Feb;86:117-25. doi: 10.1016/j.ijmedinf.2015.11.004. Epub 2015 Nov 11.
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Practical considerations in genomic decision support: The eMERGE experience.基因组决策支持中的实际考量:eMERGE项目经验
J Pathol Inform. 2015 Sep 28;6:50. doi: 10.4103/2153-3539.165999. eCollection 2015.
4
A Template for Authoring and Adapting Genomic Medicine Content in the eMERGE Infobutton Project.电子医疗记录基因组学与环境暴露研究网络(eMERGE)信息按钮项目中用于编写和改编基因组医学内容的模板。
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ASHP guidelines on the pharmacist's role in providing drug information.美国卫生系统药师协会关于药师在提供药物信息方面作用的指南。
Am J Health Syst Pharm. 2015 Apr 1;72(7):573-7. doi: 10.2146/sp150002.
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Physician Attitudes toward Adopting Genome-Guided Prescribing through Clinical Decision Support.临床决策支持下,医生对采用基于基因组学的处方的态度。
J Pers Med. 2014 Feb 27;4(1):35-49. doi: 10.3390/jpm4010035.
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Poor warfarin dose prediction with pharmacogenetic algorithms that exclude genotypes important for African Americans.对于非裔美国人而言,排除重要基因型的药物遗传学算法对华法林剂量的预测效果不佳。
Pharmacogenet Genomics. 2015 Feb;25(2):73-81. doi: 10.1097/FPC.0000000000000108.
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Pharmacogenomic knowledge gaps and educational resource needs among physicians in selected specialties.特定专科医生群体中的药物基因组学知识差距与教育资源需求
Pharmgenomics Pers Med. 2014 Jul 10;7:145-62. doi: 10.2147/PGPM.S63715. eCollection 2014.
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Usability evaluation of pharmacogenomics clinical decision support aids and clinical knowledge resources in a computerized provider order entry system: a mixed methods approach.计算机化医嘱录入系统中药基因组学临床决策支持辅助工具和临床知识资源的可用性评估:一种混合方法
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