Suppr超能文献

患者和医疗保健提供者在理解药物基因组学和基因组检测方面的需求和偏好:一项元数据分析。

Patient and Health Care Provider Needs and Preferences in Understanding Pharmacogenomic and Genomic Testing: A Meta-Data Analysis.

机构信息

Université Laval, Québec, Québec, Canada.

出版信息

Qual Health Res. 2020 Jan;30(1):43-59. doi: 10.1177/1049732319858325. Epub 2019 Jul 19.

Abstract

Tests that feature genomic indicators can now be used to guide the pharmacological treatment of patients. To better identify the needs and preferences of patients and health care providers in facilitating their understanding of information related to such pharmacogenomic tests (PGx), a review of literature on knowledge translation and health literacy in the context of testing was conducted. Using a grounded theory-based approach, a comparative analysis of data from 36 studies meeting the criteria for the meta-data analysis has revealed the recurrence of three principal themes: (a) knowledge and understanding of genetics and pharmacogenomics; (b) experiences with genetic, genomic, or PGx testing (decision about the test, information delivery, and understanding of test results); and (c) educational/informational resources. This synthesis sheds light on each theme from the standpoint of both patients and health care providers and suggests avenues in which to direct efforts to support the introduction of pharmacogenomic tests in current practice.

摘要

现在可以使用具有基因组指标的测试来指导患者的药物治疗。为了更好地了解患者和医疗保健提供者在促进他们对相关药物基因组学测试 (PGx) 信息的理解方面的需求和偏好,对测试背景下的知识转化和健康素养文献进行了回顾。使用基于扎根理论的方法,对符合元数据分析标准的 36 项研究的数据进行了比较分析,揭示了三个主要主题的反复出现:(a) 对遗传学和药物基因组学的知识和理解;(b) 遗传、基因组或 PGx 测试的经验(测试决策、信息传递和测试结果的理解);和 (c) 教育/信息资源。这种综合从患者和医疗保健提供者的角度阐明了每个主题,并提出了在哪些方面努力支持将药物基因组学测试引入当前实践。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验