HEALing Communities Study Data Coordinating Center Supplement

治愈社区研究数据协调中心补充资料

• 批准号: 10353177
• 负责人: Emmanuel Aja Oga
• 金额: $ 500万
• 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 2023-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10353177
• 关键词: Behavioral; Biometry; Caring; Cessation of life; Common Data Element; Communication; Communities; Country; Criminal Justice; Data; Data Coordinating Center; Data Pooling; Etiology; Healthcare; Infrastructure; Intervention; Locales; Methods; Modeling; National Institute of Drug Abuse; Opiate Addiction; Opioid; Outcome; Prevention; Principal Investigator; Public Health; Research; Research Personnel; Resource Allocation; Rural; Site; Source; System; Techniques; Testing; United States; United States Substance Abuse and Mental Health Services Administration; Work; addiction; cohesion; cost; cost effectiveness; data harmonization; data management; data modeling; evidence base; experience; healing; health economics; implementation cost; implementation science; innovation; insight; member; novel; operation; opioid epidemic; opioid misuse; opioid mortality; opioid overdose; opioid policy; opioid use; overdose death; prevent; skills; tool; uptake

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.

项目摘要/摘要 似乎不屈不挠的阿片类药物危机正在毁灭美国，农村国家和社区正在 击中特别艰难。迫切需要可行的指导来遏制由 阿片类药物滥用和成瘾。美国国家药物滥用研究所（NIDA）和 药物滥用和精神卫生服务管理局（SAMHSA）推出了康复 社区研究（HCS）在3年内将阿片类药物过量死亡人数减少至少40％。四个研究 站点（RSS）和数据协调中心（DCC）正在评估实施基于证据的 预防和治疗干预措施及其成本和成本效益。 RTI用作DCC HCS。我们协调和促进通信将HCS成员团结成凝聚力的研究 合作社（AIM 1A）。我们与RSS合作采用实施科学方法来了解 成功采用卫生保健，行为护理，刑事犯罪的障碍和促进者 正义和其他公共卫生环境（AIM 1B）。新颖的见解将通过应用 高级数据管理，生物统计学，分析和计算技术（AIM 2）。我们有 基础架构为支持有效的运营。使用创新来增强数据协调 选择常见数据元素的方法和工具，并用于从许多管理中转换数据 系统到合并的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基于证据的成本效益 减轻阿片类药物流行的方法（AIM 3）。我们已经开发了一个微仿真模型 告知最佳资源分配，以减少阿片类药物过量死亡和其他负面的目标。 结果。我们将开发阿片类药物政策模拟器作为社区的转化工具（内部和 HCS外部使用），因为他们计划自己的干预措施，以减少其地区的阿片类药物影响。这 模拟器将是一种交互式在线工具，可帮助决策者合成来自多个的信息 来源并选择最适合其社区的干预措施的组合。我们的DCC团队，由 多个主要研究人员DRS。 Emmanuel Oga，Gary Zarkin和Lashawn Glasgow经验丰富 多站点研究的领导者和数据协调，生物统计学，健康经济学和成瘾方面的专家 病因。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 科学技能与阿片类药物危机有深刻的了解。