Randomized trial of a data-driven technical assistance system for drug prevention coalitions

毒品预防联盟数据驱动技术援助系统的随机试验

• 批准号: 10773533
• 负责人: Louis Davis Brown
• 金额: $ 15.62万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-30 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10773533
• 关键词: Address; Affect; Applied Research; Area; Communities; Community Health; Community Participation; Data; Data Reporting; Development; Drug Addiction; Drug Prevention Program; Effectiveness; Ensure; Evidence based program; Feedback; Goals; Interactive Systems Framework; Learning; Manuals; Measures; Mediator; Mission; Modeling; Monitor; National Institute of Drug Abuse; Outcome; Pathway interactions; Pharmaceutical Preparations; Policies; Prevention; Probability; Provider; Public Health; Randomized; Reporting; Research; Series; Strategic Planning; Structure; Support System; System; Team Process; Techniques; Testing; Work; Youth; adolescent drug use; adolescent substance use; checkup examination; cost; drug abuse prevention; evidence base; implementation science; improved; innovation; insight; intrinsic motivation; member; motivational enhancement therapy; operation; prevent; program dissemination; programs; randomized trial; research to practice; substance use prevention; therapy design

Project Summary/Abstract: The overall goal of this five-year R01 study is to test the Coalition Check-Up (CCU) technical assistance (TA) system for supporting community coalitions’ implementation of evidence- based drug prevention programs (EBPs). Community coalitions are a cornerstone of federal drug prevention policy but have only demonstrated efficacy in preventing substance use when they implement EBPs, a capacity many lack. CCU TA supports coalitions in identifying and addressing gaps in their EBP implementation capacity. The proposed study advances implementation science by applying Wandersman’s Interactive Systems Framework to test the effects of CCU on coalition EBP implementation capacity and youth outcomes. Despite the popularity of drug prevention coalitions as a mechanism for EBP dissemination, there has been little research on how to effectively support coalitions for optimal EBP implementation. Lacking adequate support, coalitions and EBPs often fail, and TA as provided in evidence-based coalition models is often too expensive to scale in real-world settings. The CCU provides a lower-cost TA system that is broadly applicable across coalition models. Our main objective is to test the overall effectiveness of the CCU, including how it contributes to EBP implementation and prevention of youth substance use. Building on the Interactive System Framework, our central hypothesis is that the CCU, as part of the implementation support system, increases coalition capacity for EBP implementation, thereby increasing the probability that EBPs will reduce youth substance use. We will test this central hypothesis and our larger conceptual model by pursuing three specific aims. The first aim is to estimate the impact of the CCU on coalition capacity. Coalitions will be randomly assigned to the CCU or a ‘data report without TA’ condition to evaluate whether the CCU improves coalition capacity as measured by coalition member reports of team processes, network composition, and collaborative structure. The second aim is to estimate the impact of the CCU on the implementation of EBPs, including EBP reach, implementation quality, and sustainability. The third aim is to estimate the impact of the CCU on youth substance use. The CCU is innovative in its emphasis on proactive monitoring and data-driven TA, its use of motivational interviewing to enhance coalition-driven action planning, and its examination of network structure to enhance coalition capacity. The proposed study’s contribution is highly significant because the field currently lacks clear evidence of the effectiveness of a TA model applicable to the heterogeneous mix of drug prevention coalitions in operation. The research will enhance community coalition ability to bridge the research to practice gap in drug prevention programming. Results are expected to have a positive impact on the field by establishing the evidence-base for a low-cost, data-driven, manualized TA model that identifies how to intervene with community coalitions to support sustained implementation of evidence-based drug prevention programs and policies known to promote community health.

项目摘要/摘要：这项为期五年的R01研究的总体目标是测试联盟的检查 (CCU)支持社区联盟执行证据的技术援助(TA)系统-- 基于药物预防计划(EBP)。社区联盟是联邦毒品预防的基石 政策，但只有在实施EBPS时才显示出预防药物使用的有效性，a 许多人缺乏能力。CCU TA支持联盟识别和解决其EBP中的差距 实施能力。拟议的研究通过应用Wandersman的 互动系统框架，以测试CCU对联盟EBP实施能力和青年的影响 结果。尽管毒品预防联盟作为传播EBP的机制很受欢迎，但在 关于如何有效支持联盟以实现最佳EBP的研究一直很少。缺乏 充分的支持、联盟和EBP经常失败，而基于证据的联盟模型中提供的TA是 通常成本太高，无法在现实环境中进行扩展。CCU提供了成本较低的TA系统，该系统具有广泛的 适用于所有联盟模型。我们的主要目标是测试CCU的整体成效，包括 它如何有助于EBP的实施和预防青少年药物使用。建立在互动的基础上 在系统框架中，我们的中心假设是，CCU作为执行支助系统的一部分， 增加EBP实施的联盟能力，从而增加EBPS将减少的可能性 青少年吸毒。我们将通过追求三个方面来测试这一中心假设和我们更大的概念模型 明确的目标。第一个目标是评估CCU对联军能力的影响。联盟将是 随机分配给CCU或在没有TA的情况下报告数据，以评估CCU是否有所改善 联盟能力由联盟成员报告的团队流程、网络组成和 协作结构。第二个目标是评估协调股对执行循证政策的影响， 包括EBP覆盖范围、实施质量和可持续性。第三个目标是评估 关于青少年药物使用的CCU。CCU在强调主动监测和数据驱动方面具有创新性 技术援助，它使用激励性访谈来加强联盟驱动的行动规划，以及它对 网络结构，增强联军能力。这项拟议的研究的贡献非常重要，因为 该领域目前缺乏适用于非均质混合的TA模型的有效性的明确证据 在运作中的毒品预防联盟。这项研究将增强社区联盟的能力，以弥合 毒品预防规划中实践差距的研究。预计结果将对以下方面产生积极影响 通过为低成本、数据驱动、手动的TA模型建立证据基础来确定 如何与社区联盟进行干预以支持循证药物的持续实施 已知的促进社区健康的预防方案和政策。

项目成果

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

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
• 发表时间: 2021-06-25
• 期刊: Implementation science : IS
• 作者: Brown LD;Chilenski SM;Wells R;Jones EC;Welsh JA;Gayles JG;Fernandez ME;Jones DE;Mallett KA;Feinberg ME
• 通讯作者: Feinberg ME