Department of Medicine and The Center for Applied Genomics and Precision Medicine, Duke University, Durham, North Carolina, USA.
Center for Health Services Research in Primary Care, Veterans Affairs Medical Center, Durham, North Carolina, USA.
Genet Med. 2018 Jun;20(6):655-663. doi: 10.1038/gim.2017.144. Epub 2017 Sep 14.
PurposeImplementation research provides a structure for evaluating the clinical integration of genomic medicine interventions. This paper describes the Implementing Genomics in Practice (IGNITE) Network's efforts to promote (i) a broader understanding of genomic medicine implementation research and (ii) the sharing of knowledge generated in the network.MethodsTo facilitate this goal, the IGNITE Network Common Measures Working Group (CMG) members adopted the Consolidated Framework for Implementation Research (CFIR) to guide its approach to identifying constructs and measures relevant to evaluating genomic medicine as a whole, standardizing data collection across projects, and combining data in a centralized resource for cross-network analyses.ResultsCMG identified 10 high-priority CFIR constructs as important for genomic medicine. Of those, eight did not have standardized measurement instruments. Therefore, we developed four survey tools to address this gap. In addition, we identified seven high-priority constructs related to patients, families, and communities that did not map to CFIR constructs. Both sets of constructs were combined to create a draft genomic medicine implementation model.ConclusionWe developed processes to identify constructs deemed valuable for genomic medicine implementation and codified them in a model. These resources are freely available to facilitate knowledge generation and sharing across the field.
目的
实施研究为评估基因组医学干预措施的临床整合提供了一种结构。本文描述了实施基因组学实践(IGNITE)网络的努力,以促进(i)更广泛地了解基因组医学实施研究,以及(ii)共享网络中生成的知识。
方法
为了实现这一目标,IGNITE 网络通用措施工作组(CMG)成员采用了综合实施研究框架(CFIR)来指导其方法,以确定与整体评估基因组医学相关的结构和措施,标准化项目间的数据收集,并在集中资源中组合数据进行跨网络分析。
结果
CMG 确定了 10 个高优先级的 CFIR 结构,这些结构对基因组医学很重要。其中,有八个没有标准化的测量工具。因此,我们开发了四个调查工具来解决这一差距。此外,我们还确定了七个与患者、家庭和社区相关的高优先级结构,这些结构与 CFIR 结构不相关。这两组结构被合并到一个基因组医学实施模型中。
结论
我们制定了识别被认为对基因组医学实施有价值的结构的流程,并将其编入模型中。这些资源是免费提供的,以促进该领域的知识生成和共享。