The Adaptome: Advancing the Science of Intervention Adaptation.
The Adaptome: Advancing the Science of Intervention Adaptation.
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DOI：
10.1016/j.amepre.2016.05.011
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发表时间：
2016-10
影响因子：
5.5
通讯作者：
Norton, Wynne E.
中科院分区：
文献类型：
--
作者：
Chambers, David A.;Norton, Wynne E.
在过去的几十年里，预防科学家已经开发并测试了一系列干预措施，证明对儿童和青少年的认知、情感和行为健康有益。这些以证据为基础的干预措施，如果能辅以实施科学的发现，以促进采用、广泛实施和维持，就有望在人口层面上受益。虽然在扩大干预措施方面已经取得了显著的成功，但需要做更多的工作来优化效益。尽管从干预措施的开发和测试到实施的传统途径对研究界很有帮助——允许以证据为基础的干预措施的系统推进，这些干预措施似乎已经准备好实施了——但由于坚持证据生成必须在实施之前完成的假设，进展受到了限制。这在保真度和适应之间建立了具有挑战性的二分法，并将适应科学限制在适应性干预措施的随机试验结果中。田地可以做得更好。本文主张制定战略，在实施的背景下推进适应科学，更全面地描述干预措施与其环境之间所需的契合度，并抓住不断学习最佳干预措施交付的机会。建立由此产生的适应组（读音为“adapt-ohm”）的工作将包括建立一个公共数据平台，以系统地收集有关跨多种人群和环境提供循证干预措施的变化的信息，并向干预措施开发人员以及实施研究和实践社区提供反馈。最后，本文确定了启动adaptome数据平台开发的后续步骤。
In the past few decades, prevention scientists have developed and tested a range of interventions with demonstrated benefits on child and adolescent cognitive, affective, and behavioral health. These evidence-based interventions offer promise of population-level benefit if accompanied by findings of implementation science to facilitate adoption, widespread implementation, and sustainment. Though there have been notable examples of successful efforts to scale-up interventions, more work is needed to optimize benefit. Although the traditional pathway from intervention development and testing to implementation has served the research community well—allowing for a systematic advance of evidence-based interventions that appear ready for implementation—progress has been limited by maintaining the hypothesis that evidence generation must be complete prior to implementation. This sets up the challenging dichotomy between fidelity and adaptation, and limits the science of adaptation to findings from randomized trials of adapted interventions. The field can do better. This paper argues for the development of strategies to advance the science of adaptation in the context of implementation that would more comprehensively describe the needed fit between interventions and their settings, and embrace opportunities for ongoing learning about optimal intervention delivery over time. Efforts to build the resulting adaptome (pronounced “adapt-ohm”) will include the construction of a common data platform to house systematically captured information about variations in delivery of evidence-based interventions across multiple populations and contexts, and provide feedback to intervention developers, as well as the implementation research and practice communities. Finally, the article identifies next steps to jumpstart adaptome data platform development.
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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：
5.9
作者：
Riley, William T.;Serrano, Katrina J.;Atienza, Audie A.
通讯作者：
Atienza, Audie A.
影响因子：
7.4
作者：
Mohr, David C.;Schueller, Stephen M.;Cheung, Ken
通讯作者：
Cheung, Ken
DOI：
10.1016/j.chc.2004.04.006
发表时间：
2005-04-01
影响因子：
2.4
作者：
Chambers, DA;Ringeisen, H;Hickman, EE
通讯作者：
Hickman, EE
DOI：
10.1007/s10488-008-0197-4
发表时间：
2009-01
影响因子：
2.6
作者：
Proctor, Enola K.;Landsverk, John;Aarons, Gregory;Chambers, David;Glisson, Charles;Mittman, Brian
通讯作者：
Mittman, Brian