Eight characteristics of rigorous multilevel implementation research: a step-by-step guide.
Eight characteristics of rigorous multilevel implementation research: a step-by-step guide.
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DOI：
10.1186/s13012-023-01302-2
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发表时间：
2023-10-23
影响因子：
7.2
通讯作者：
Aarons, Gregory A.
中科院分区：
文献类型：
--
作者：
Lengnick-Hall, Rebecca;Williams, Nathaniel J.;Ehrhart, Mark G.;Willging, Cathleen E.;Bunger, Alicia C.;Beidas, Rinad S.;Aarons, Gregory A.
尽管医疗保健本质上是在多层次的背景下提供的，但实施科学没有广泛认可的方法标准来定义严格的多层次实施研究的特征。我们确定并描述了高质量、多层次实施研究的八个特征，以鼓励讨论、激发辩论并指导围绕研究设计和方法问题的决策。进行严格的多层次实施研究的实施研究人员表现出以下八个特征。首先，他们为特定的人群和环境绘制并实施特定的多层次环境。其次，他们定义并陈述了所研究的每个结构的水平。第三，它们描述了结构如何在层次内部和层次之间相互关联。第四，它们规定了每个相关层面上每种现象的时间范围。第五，他们将测量选择和分析变量的构建与所选理论水平（以及生成的假设，如果适用）结合起来。第六，他们使用与所选理论或研究目标一致的抽样策略，并且抽样策略足够大和可变，以检查必要水平的关系。第七，他们将分析方法与所选理论（和假设，如果适用）结合起来，确保它们考虑到测量依赖性和嵌套数据结构。第八，他们确保在适当的层面上做出推论。为了指导实施研究人员并鼓励辩论，我们提出了每个特征的基本原理、在实施研究中实施这些特征的可行建议、一系列示例以及使这些特征更可用的参考资料。我们的建议适用于所有类型的多层次实施研究设计和方法，包括随机试验、定量和定性观察研究以及混合方法。这八个特征为评估多层次实施研究的质量和可复制性提供了基准，并促进了共同语言和参考点。反过来，这促进了跨不同多层次环境的知识生成，并确保实施研究与相关多层次科学中已经学到的知识一致（并适当利用）。当对严谨性的构成进行共享和综合的描述被定义并广泛传播时，实施科学就能更好地在方法论和理论上进行创新。在线版本包含可在 10.1186/s13012-023-01302-2 获取的补充材料。
Although healthcare is delivered in inherently multilevel contexts, implementation science has no widely endorsed methodological standards defining the characteristics of rigorous, multilevel implementation research. We identify and describe eight characteristics of high-quality, multilevel implementation research to encourage discussion, spur debate, and guide decision-making around study design and methodological issues. Implementation researchers who conduct rigorous multilevel implementation research demonstrate the following eight characteristics. First, they map and operationalize the specific multilevel context for defined populations and settings. Second, they define and state the level of each construct under study. Third, they describe how constructs relate to each other within and across levels. Fourth, they specify the temporal scope of each phenomenon at each relevant level. Fifth, they align measurement choices and construction of analytic variables with the levels of theories selected (and hypotheses generated, if applicable). Sixth, they use a sampling strategy consistent with the selected theories or research objectives and sufficiently large and variable to examine relationships at requisite levels. Seventh, they align analytic approaches with the chosen theories (and hypotheses, if applicable), ensuring that they account for measurement dependencies and nested data structures. Eighth, they ensure inferences are made at the appropriate level. To guide implementation researchers and encourage debate, we present the rationale for each characteristic, actionable recommendations for operationalizing the characteristics in implementation research, a range of examples, and references to make the characteristics more usable. Our recommendations apply to all types of multilevel implementation study designs and approaches, including randomized trials, quantitative and qualitative observational studies, and mixed methods. These eight characteristics provide benchmarks for evaluating the quality and replicability of multilevel implementation research and promote a common language and reference points. This, in turn, facilitates knowledge generation across diverse multilevel settings and ensures that implementation research is consistent with (and appropriately leverages) what has already been learned in allied multilevel sciences. When a shared and integrated description of what constitutes rigor is defined and broadly communicated, implementation science is better positioned to innovate both methodologically and theoretically. The online version contains supplementary material available at 10.1186/s13012-023-01302-2.
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影响因子：
7.2
作者：
Damschroder, Laura J.;Reardon, Caitlin M.;Widerquist, Marilla A. Opra;Lowery, Julie
通讯作者：
Lowery, Julie
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：
11.3
作者：
Hanailton, Alison B.;Finley, Erin P.
通讯作者：
Finley, Erin P.
影响因子：
9.5
作者：
Kreamer, Liana M.;Albritton, Betsy H.;Rogelberg, Steven G.
通讯作者：
Rogelberg, Steven G.
影响因子：
16.4
作者：
KLEIN, KJ;DANSEREAU, F;HALL, RJ
通讯作者：
HALL, RJ