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: 10705489
• 负责人: Louis Davis Brown
• 金额: $ 8万
• 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/10705489
• 关键词: Address; Adoption; Alcohols; Applied Research; Award; Awareness; Classification; Code; Communities; Community Health; Community Participation; Data; Data Reporting; Development; Drug Addiction; Drug Prevention Program; Ecology; Economic Conditions; Economics; Effectiveness; Elements; Ensure; Equity; Evidence based program; Funding; Future; Goals; Health; Health Promotion; Healthcare; Interactive Systems Framework; Leadership; Manuals; Marijuana; Measures; Mediator; Mental Health; Methods; Mission; Modeling; Monitor; National Institute of Drug Abuse; Opioid; Outcome; Parents; Pattern; Pharmaceutical Preparations; Policies; Politics; Population; Prevention; Prevention program; Probability; Procedures; Public Health; Randomized; Reporting; Research; Resources; Role; Social Disorganizations; Structure; Subgroup; Support System; System; Team Process; Testing; Tobacco; Work; Youth; adolescent drug use; adolescent substance use; behavioral health; checkup examination; community organizations; contextual factors; cost; drug abuse prevention; evidence base; implementation science; improved; innovation; intervention effect; meetings; member; motivational enhancement therapy; operation; parent grant; program dissemination; randomized trial; research to practice; response; social; social capital; social culture; social health determinants; substance use; substance use prevention; success; theories; therapy design; youth violence

PROJECT SUMMARY Summary/Abstract of Parent Award: 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. 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 can enhance the prevention support system, thereby increasing coalition capacity for EBP implementation and the probability that EBPs will reduce youth substance use. This research will build the evidence-base for a scalable TA model, indicating how to intervene with community coalitions to maximize EBP fidelity and sustainability.

项目总结 家长奖摘要/摘要：这项为期五年的R01研究的总体目标是测试联盟检查- UP(CCU)技术援助(TA)系统，用于支持社区联盟实施证据- 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，这是一种能力 许多人缺乏这种能力。CCU TA支持联盟确定和解决其EBP实施能力方面的差距。 拟议的研究通过应用Wandersman的交互系统来促进实现科学 测试CCU对联盟EBP执行能力和青年成果的影响的框架。尽管 将流行的药物预防联盟作为EBP传播的一种机制，一直以来研究很少 关于如何有效地支持联盟以实现最佳EBP。缺乏足够的支持、联盟 EBP经常失败，而基于证据的联盟模型中提供的TA往往过于昂贵，无法扩展 真实世界的设置。CCU提供了一种成本较低的TA系统，该系统广泛适用于联盟模式。 我们的主要目标是测试CCU的整体有效性，包括它对EBP的贡献 实施和预防青少年吸毒。以互动系统框架为基础，我们的 中心假设是，中央协调股作为执行支助系统的一部分，提高了联军能力 对于EBP的实施，从而增加了EBPS将减少青年物质使用的可能性。我们会 通过追求三个具体目标来测试这个中心假设和我们更大的概念模型。第一个目标是 估计CCU对联军能力的影响。联盟将随机分配给CCU或a‘数据 在没有TA条件的情况下报告，以联盟来评估CCU是否提高了联盟能力 团队流程、网络组成和协作结构的成员报告。第二个目标是 评估CCU对EBPS实施的影响，包括EBP覆盖范围、实施质量、 和可持续性。第三个目标是评估CCU对青少年药物使用的影响。CCU是 在强调主动监控和数据驱动的TA方面具有创新性，它使用激励性访谈来 加强联盟驱动的行动规划，并审查其网络结构，以提高联盟的能力。 这项拟议的研究的贡献非常重要，因为该领域目前缺乏明确的证据表明 适用于药物预防联盟异质组合运作的TA模型的有效性。这个 研究将加强社区联盟能力，以弥合毒品预防方面研究与实践的差距 编程。预计结果将对实地产生积极影响，为以下方面建立证据基础 低成本、数据驱动型、手动TA模式，确定如何与社区联盟进行干预 支持持续实施循证毒品预防方案和已知促进 社区卫生。我们的主要目标是测试CCU的整体有效性，包括它如何做出贡献 对EBP的实施和预防青少年吸毒。在交互系统框架的基础上， 我们的中心假设是CCU可以加强预防支持系统，从而增加联盟 实施EBP的能力以及EBPS将减少青年物质使用的可能性。这项研究 将为可扩展的TA模式建立证据基础，指示如何与社区联盟进行干预 最大化EBP的保真度和可持续性。