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 药物滥用和精神健康服务管理局(SAMHSA)发起了治愈 社区研究(HCS)旨在在3年内将阿片类药物过量死亡人数至少减少40%。四项研究 各站点(RSS)和数据协调中心(DCC)正在评估循证管理的实施情况 预防和治疗干预措施及其成本和成本效益。RTI作为DCC服务 HCS。我们协调和促进沟通，将HCS成员团结成一个有凝聚力的研究 合作(目标1a)。我们与RSS合作，应用实现科学方法来理解 成功采用经过验证的卫生保健、行为护理、刑事干预措施的障碍和促进者 司法和其他公共卫生环境(目标1b)。新的见解将通过应用 高级数据管理、生物统计、分析和计算技术(目标2)。我们有 基础设施到位，以支持高效运营。使用创新技术增强数据协调性 用于选择公共数据元素和转换来自多个管理部门的数据的方法和工具 系统集成到整合的HCS数据模型。我们将进行卫生经济学研究，以确定 启动和持续实施的增量成本，以及循证成本效益 减轻阿片类药物流行的办法(目标3)。我们已经开发了一个微观模拟模型，它将 告知最佳资源分配，以实现阿片类药物过量死亡和其他负面影响的目标减少 结果。我们将开发阿片类药物政策模拟器，作为社区(内部和 在他们计划自己的干预措施以减少其所在地的阿片类药物影响时使用。这个 模拟器将是一个交互式在线工具，帮助决策者综合来自多个 并选择最适合其社区的干预措施组合。我们的DCC团队，由 多名首席调查员Emmanuel Oga、Gary Zarkin和LaShawn Glasgow博士经验丰富 多站点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。我们更广泛的调查人员和顾问团队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.