HEALing Communities Study Data Coordinating Center

治愈社区研究数据协调中心

• 批准号: 10864536
• 负责人: LaShawn Glasgow
• 金额: $ 57.27万
• 依托单位: RESEARCH TRIANGLE INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-01 至 2024-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10864536
• 关键词: HEALing; Communities; Study; Data; Coordinating

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.

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）计划推出治疗 社区研究（HEAL）将阿片类药物过量死亡率在3年内减少至少40%。三个研究 将创建研究中心（RS）和数据协调中心（DCC），以评估证据的实施情况- 基于预防和治疗的干预措施及其成本和成本效益。RTI建议服务于 作为治疗的DCC。我们将以这种身份提供协调和促进沟通， HEAL成员成为一个有凝聚力的研究合作社（目标1a）。我们将与RS合作， 实施科学方法，以了解成功采用经验证的 在卫生保健、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 通过应用先进的数据管理、生物统计学、分析和 计算技术（目标2）。我们拥有支持快速研究启动的基础设施， 高效的运营。将利用创新方法和工具， 通用数据元素，并将数据从多个管理系统转换为统一的HEAL 数据模型我们将进行卫生经济学研究，以确定启动和 正在进行的执行工作，以及减少类阿片依赖的循证办法的成本效益 流行病（目标3）。我们将开发一个微观模拟模型，为最佳资源分配提供信息， 实现减少阿片类药物过量死亡和其他负面结果的目标。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HEAL）的翻译工具， 计划自己的干预措施，以减少阿片类药物在其所在地的影响。模拟器将是一个互动的 帮助决策者综合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团队由多位主要研究者博士领导。 Rick威廉姆斯、加里扎金和凯文康威是多中心研究的经验丰富的领导者，也是 数据协调、生物统计学、卫生经济学和成瘾病因学。我们更广泛的团队 研究人员和顾问带来了强大的科学和实施科学技能，与 深入了解阿片类药物危机。