HEALing Communities Study Data Coordinating Center

项目总结/摘要 一场看似无情的阿片类药物危机正在摧毁美国， 打得特别重。迫切需要可采取行动的指导，以遏制 阿片类药物滥用和成瘾。认识到迫切需要，国家药物滥用研究所和 物质滥用和精神卫生服务管理局（SAMHSA）推出了 社区研究（HCS）在3年内将阿片类药物过量死亡率降低至少40%。四个研究 研究中心（RS）和数据协调中心（DCC）正在评估循证医学的实施情况。 预防和治疗干预措施及其成本和成本效益。RTI充当DCC， HCS。我们协调和促进沟通，以团结HCS成员成为一个有凝聚力的研究 合作（目标1a）。我们与RS合作，应用实施科学方法来了解 障碍和促进因素，以成功地采取行之有效的干预措施，在卫生保健，行为护理，刑事 司法和其他公共卫生环境（目标1b）。新的见解将获得通过应用 先进的数据管理，生物统计，分析和计算技术（目标2）。我们有 基础设施，以支持有效的业务。采用创新的方法加强数据协调 用于选择公共数据元素和用于从多个管理数据库转换数据的方法和工具 系统整合到统一的HCS数据模型。我们将进行卫生经济学研究，以确定 启动和持续执行的增支费用，以及循证方案的成本效益 缓解阿片类药物流行的方法（目标3）。我们开发了一个微观模拟模型， 为实现减少阿片类药物过量死亡和其他负面影响目标 结果。我们将开发阿片类药物政策模拟器，作为社区（内部和外部）的翻译工具。 HCS外部），以在他们计划自己的干预措施时使用，以减少其所在地的阿片类药物作用。的 模拟器将是一个互动的在线工具，以帮助决策者综合信息，从多个 他们选择最适合自己社区的干预措施组合。我们的DCC团队由 多位主要研究者Emmanuel Oga、加里扎金和拉肖恩格拉斯哥博士经验丰富 多中心研究的领导者和数据协调、生物统计学、卫生经济学和成瘾方面的专家 病因学我们更广泛的研究人员和顾问团队带来了强有力的科学和实施 科学技能与对阿片类药物危机的深刻理解交织在一起。

PROJECT SUMMARY/ABSTRACT A seeming unrelenting opioid crisis is devastating the United States, with rural states and communities being hit especially hard. Actionable guidance is desperately needed to curb the death and devastation caused by opioid misuse and addiction. Recognizing the urgent need, the National Institute on Drug Abuse (NIDA) and the Substance Abuse and Mental Health Services Administration (SAMHSA) launched the HEALing Communities Study (HCS) to reduce opioid overdose fatalities by at least 40% in 3 years. Four research sites (RSs) and a data coordinating center (DCC) are evaluating the implementation of evidence-based prevention and treatment interventions, and their cost and cost-effectiveness. RTI servse as the DCC for HCS. We coordinate and facilitate communications to unite the HCS members into a cohesive research cooperative (Aim 1a). We work with the RSs to apply implementation science methods to understand the barriers and facilitators to successful uptake of proven interventions in health care, behavioral care, criminal justice, and other public health settings (Aim 1b). Novel insights will be gained through the application of advanced data management, biostatistics, analytic, and computing techniques (Aim 2). We have the infrastructure in place to support efficient operations. Data harmonization is enhanced using innovative methods and tools for selecting common data elements and for transforming data from many administrative systems to a consolidated HCS data model. We will conduct health economics research to determine the incremental costs of start-up and ongoing implementation, and the cost-effectiveness of evidence-based approaches to mitigate the opioid epidemic (Aim 3). We have developed a microsimulation model that will inform optimal resource allocation to achieve target reductions in opioid overdose deaths and other negative outcomes. We will develop the Opioid Policy Simulator as a translational tool for communities (internal and external to HCS) to use as they plan their own interventions to reduce opioid effects in their locales. The Simulator will be an interactive online tool to help decisionmakers synthesize information from multiple sources and select the combination of interventions best suited for their community. Our DCC team, led by multiple Principal Investigators Drs. Emmanuel Oga, Gary Zarkin, and LaShawn Glasgow are experienced leaders of multi-site studies and experts in data harmonization, biostatistics, health economics, and addiction etiology. Our broader team of investigators and consultants brings robust scientific and implementation science skills interwoven with a deep understanding of the opioid crisis.