Protocol for a hybrid type 3 cluster randomized trial of a technical assistance system supporting coalitions and evidence-based drug prevention programs.

Protocol for a hybrid type 3 cluster randomized trial of a technical assistance system supporting coalitions and evidence-based drug prevention programs.
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用于支持联盟和基于证据的药物预防计划的技术援助系统的Hybrid 3类型群集随机试验的协议。

DOI:
10.1186/s13012-021-01133-z
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发表时间:
2021-06-25
期刊:
Implementation science : IS
影响因子:
--
通讯作者:
Feinberg ME
Feinberg ME
中科院分区:
其他
文献类型:
--
作者:
Brown LD;Chilenski SM;Wells R;Jones EC;Welsh JA;Gayles JG;Fernandez ME;Jones DE;Mallett KA;Feinberg ME

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在美国有5000多个社区禁毒联盟,是联邦禁毒工作的基石。然而,这些联盟只有在使用技术援助(TA)和实施循证方案(EBP)时才能有效预防药物使用。联盟缺乏技术援助和电子商务方案的实施是研究与实践之间的一个关键差距。联盟检查技术援助制度旨在通过支持社区联盟执行电子商务程序来填补这一空白。现有的基于证据的联盟方法的TA模型是资源密集型和联盟模型特定的。联盟检查是一项成本较低的战略,与各种类型的联盟合作,以支持可持续地实施循证优先事项。本研究协议描述了一个混合型3有效性实施试验应用Wandersman的交互式系统框架,以测试联盟检查联盟EBP实施能力和结果的影响。互动系统框架概述了预防支持系统,特别是技术援助,如何支持EBP的传播和实施。本试验采用整群随机对照设计,将测试联盟检查的整体有效性,包括它如何有助于EBP的实施和预防青少年药物使用。第一个目标是评估联盟检查对联盟开展工作能力的影响。我们将招募68个禁毒联盟,随机分配到联盟检查或“TA照常”条件。我们将评估是否联盟检查提高联盟的能力,联盟成员的反应,团队流程,联盟网络组成和协作结构的措施。我们的第二个目标是评估联合检查对实施改善行为计划的影响,我们的第三个目标是评估联合检查对青少年物质使用的影响。该项目将阐明联盟检查,一个可扩展的方法TA由于其成本低,如何影响联盟的能力,以支持EBP的实施。分析还提供了从预防支助系统到互动系统框架所概述的预防提供系统的因果途径。研究结果将为如何支持社区联盟可持续地实施循证预防方案和政策建立证据基础。Clinicaltrials.gov注册号NCT 04592120。于2020年10月19日注册。
Over 5000 community anti-drug coalitions operating in the USA serve as a cornerstone of federal drug prevention. These coalitions, however, have demonstrated effectiveness in preventing substance use only when they use technical assistance (TA) and implement evidence-based programs (EBPs). The absence of TA and EBP implementation by coalitions is a key research-to-practice gap. The Coalition Check-Up TA system is designed to fill this gap by supporting community coalition implementation of EBPs. Existing TA models for evidence-based coalition approaches are resource intensive and coalition model specific. The Coalition Check-Up is a lower cost strategy that works with a variety of types of coalitions to support sustainable implementation of EBPs. This study protocol describes a hybrid type 3 effectiveness-implementation trial applying Wandersman’s Interactive Systems Framework to test the effects of the Coalition Check-Up on coalition EBP implementation capacity and outcomes. The Interactive Systems Framework outlines how the prevention support system—especially TA—bolsters EBP dissemination and implementation. Using a cluster randomized controlled design, this trial will test the overall effectiveness of the Coalition Check-Up, including how it contributes to EBP implementation and prevention of youth substance use. The first aim is to estimate the impact of the Coalition Check-Up on coalitions’ capacity to do their work. We will recruit 68 anti-drug coalitions for random assignment to the Coalition Check-Up or “TA as usual” condition. We will evaluate whether the Coalition Check-Up improves coalition capacity using measures of coalition member responses about team processes, coalition network composition, and collaborative structure. Our second aim is to estimate the impact of the Coalition Check-Up on implementation of EBPs, and our third aim is to estimate the impact of the Coalition Check-Up on youth substance use. This project will clarify how the Coalition Check-Up, a scalable approach to TA due to its low cost, affects coalition capacity to support EBP implementation. Analyses also provide insight into causal pathways from the prevention support system to the prevention delivery system outlined by the Interactive Systems Framework. Results will build the evidence-base for how to support community coalitions’ sustainable implementation of evidence-based prevention programs and policies. Clinicaltrials.gov registration number NCT04592120. Registered on October 19, 2020.
DOI: 10.1007/s11121-019-01028-y
发表时间: 2019-08-01
期刊: PREVENTION SCIENCE
影响因子: 3.5
作者:
Chilenski, Sarah M.;Frank, Jennifer;Lew, Daphne
通讯作者: Lew, Daphne
DOI: 10.1016/j.jadohealth.2006.09.002
发表时间: 2007-06-01
影响因子: 7.6
作者:
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通讯作者: Greenberg, Mark T.
DOI: 10.1007/s11121-017-0812-2
发表时间: 2018-02-01
期刊: PREVENTION SCIENCE
影响因子: 3.5
作者:
Chilenski, Sarah M.;Welsh, Janet;Feinberg, Mark E.
通讯作者: Feinberg, Mark E.
DOI: 10.1086/521839
发表时间: 2007-11-01
影响因子: 4.4
作者:
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通讯作者: Diani, Mario
DOI: 10.1007/s11121-017-0796-y
发表时间: 2017-07-01
期刊: PREVENTION SCIENCE
影响因子: 3.5
作者:
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通讯作者: Chilenski, Sarah Meyer