HEALing Communities Study Data Coordinating Center

项目摘要/摘要 一场看似无情的阿片类药物危机正在摧毁美国，农村各州和社区 打击尤其严重。迫切需要可行的指导，以遏制由 阿片类药物滥用和成瘾。认识到这一迫切需要，国家药物滥用研究所(NIDA)和 物质滥用和精神健康服务管理局(SAMHSA)计划推出治愈 社区研究(Hear)旨在3年内将阿片类药物过量死亡人数至少减少40%。三项研究 将建立网站(RSS)和数据协调中心(DCC)，以评估证据- 以预防和治疗为基础的干预措施及其成本和成本效益。RTI建议为 作为治疗的DCC。我们将以这一身份提供协调和便利沟通，以团结 将成员凝聚成一个有凝聚力的研究合作社(目标1a)。我们将与RSS合作申请 实施科学方法，以了解成功采用经验证的 保健、行为护理、刑事司法和其他公共卫生环境中的干预措施(目标1b)。小说 将通过应用高级数据管理、生物统计、分析和 计算技术(目标2)。我们有基础设施来支持快速学习启动和 高效运营。将利用创新的方法和工具加强数据协调 通用数据元素，并用于将数据从多个管理系统转换为整合的修复程序 数据模型。我们将进行卫生经济学研究，以确定启动和 正在进行的实施，以及减轻阿片类药物的循证方法的成本效益 流行病(目标3)。我们将开发一个微观模拟模型，为优化资源分配提供信息 实现减少阿片类药物过量死亡和其他负面后果的目标。我们将开发 阿片类药物策略模拟器作为社区(内部和外部用于治愈)的转换工具 计划自己的干预措施，以减少当地的阿片类药物影响。模拟器将是一个交互式的 帮助决策者综合来自多个来源的信息并选择组合的在线工具 最适合他们社区的干预措施。我们的DCC团队，由多名首席调查员博士领导。 里克·威廉姆斯、加里·扎尔金和凯文·康威是经验丰富的多站点研究的领导者和专家 数据协调、生物统计学、健康经济学和成瘾病因学。我们更广泛的团队 调查人员和顾问带来了强大的科学和实施科学技能，与 对阿片类药物危机的深刻理解。

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) plan to launch the HEALing Communities Study (HEAL) to reduce opioid overdose fatalities by at least 40% in 3 years. Three research sites (RSs) and a data coordinating center (DCC) will be created to evaluate the implementation of evidence- based prevention and treatment interventions, and their cost and cost-effectiveness. RTI proposes to serve as the DCC for HEAL. In this capacity we will provide coordination and facilitate communications to unite the HEAL members into a cohesive research cooperative (Aim 1a). We will 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 rapid study start-up and efficient operations. Data harmonization will be enhanced using innovative methods and tools for selecting common data elements and for transforming data from many administrative systems to a consolidated HEAL 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 will develop 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 HEAL) 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. Rick Williams, Gary Zarkin, and Kevin Conway 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.