Chambers David A, Norton Wynne E
Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
Am J Prev Med. 2016 Oct;51(4 Suppl 2):S124-31. doi: 10.1016/j.amepre.2016.05.011. Epub 2016 Jun 28.
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.
在过去几十年里,预防科学家们开发并测试了一系列对儿童和青少年的认知、情感及行为健康有显著益处的干预措施。如果有实施科学的研究结果来促进这些干预措施的采用、广泛实施和持续推行,那么这些基于证据的干预措施有望给整个人口群体带来益处。尽管有一些扩大干预措施规模的成功显著案例,但仍需要做更多工作来优化效益。虽然从干预措施的开发、测试到实施的传统路径对研究界很有帮助,使得基于证据的干预措施得以系统推进,看似已准备好实施,但由于一直秉持在实施前证据生成必须完备这一假设,进展受到了限制。这就造成了保真度与适应性之间具有挑战性的二分法,并将适应性科学限制在适应性干预随机试验的结果上。该领域可以做得更好。本文主张制定策略,在实施背景下推进适应性科学,以便更全面地描述干预措施与其实施环境之间所需的契合度,并把握随着时间推移持续学习最佳干预实施方式的机会。构建由此产生的适应组(发音为“adapt - ohm”)的努力将包括建立一个通用数据平台,用以存储系统收集的关于多个群体和背景下基于证据的干预措施实施差异的信息,并向干预措施开发者以及实施研究和实践群体提供反馈。最后,本文确定了启动适应组数据平台开发的后续步骤。