HIV and Substance Use Cohort Coordinating Center for Emerging and High Impact Scientific Cross Cohort Studies: HIV SUCCESS

艾滋病毒和物质使用队列协调中心的目的是新兴和高影响 科学交叉队列研究：艾滋病毒成功是支持国家药物滥用研究所资助的队列 因为他们实施研究战略，以更好地了解和解决物质使用及其后果 艾滋病毒感染者（PWH）威尔斯亲王医院的药物使用率很高，药物使用模式， 包括作为第四波阿片类药物流行的一部分，同时使用甲基苯丙胺/阿片类药物的增加， 继续发展。在增进对《公约》的理解和执行方面， 干预措施，以解决物质使用及其对PWH的影响。应对这些挑战是 队列的首要目的，需要一个在数据集成方面经验丰富的协调中心（CC） 和协调，卫生信息学，多站点协调，临床护理和干预经验，以及 艾滋病毒和药物使用研究，以支持队列，并全面整合跨队列数据。的 由此产生的全面综合数据资源将为研究人员提供解决重要问题的潜力， 科学和公共卫生问题，否则不可能在个别队列。我们将 通过队列，可以对不同领域的结果和结果进行复杂、仔细和完整的分析 使用统一的数据。我们将根据需要引入其他队列和研究的数据，以确保 有足够的临床、生物标志物和/或遗传数据可用于解决关键问题。细致的数据 适当的协调将提高统计能力，以确定研究领域或分组 重点和了解哪些干预措施在更广泛的整体背景下证明是成功的 威尔斯亲王医院的目标人口（相对于单一组别的目标人口）。这支队伍带来了丰富的经验 艾滋病毒队列数据;数据联系和统一;方法制定;统计支持， 从纵向观测数据进行因果推断;卫生信息学平台和工具基础设施， 开发包括数据存储库和工具，以有效和准确地电子收集患者 报告结局和结局裁定;为大型合作提供总体协调， 队列和研究;在艾滋病毒和药物使用的临床流行病学方面的强大背景;以及 将这些信息应用于临床护理和干预。我们也有一个全面的指导方法 培养新一代的艾滋病毒和药物使用研究人员。我们将支持队列以增强数据 酌情收集数据，在可行时合并和统一数据，并共同努力解决关键问题， 关于艾滋病毒、药物使用和结果的问题，不能由单个队列解决。通过提供 项目管理、指导和支持，以及开发一个强大的数据库， 完成数据的整合和链接，实现多学科的综合网络， 多站点数据需要足够的大小来解决物质使用及其对PWH的影响。

The purpose of the HIV and Substance Use Cohort Coordinating Center for Emerging and High Impact Scientific Cross Cohort Studies: HIV SUCCESS is to support National Institute on Drug Abuse funded cohorts as they implement research strategies to better understand and address substance use and its consequences among people with HIV (PWH). Substance use prevalence among PWH is high, and substance use patterns, including increasing concurrent methamphetamine/opioid use as part of the 4th wave of the opioid epidemic, continue to evolve. Substantial challenges remain to improve understanding and implementation of interventions to address substance use and its impacts among PWH. Addressing these challenges is the overarching purpose of the cohorts and requires a coordinating center (CC) experienced in data integration and harmonization, health informatics, multi-site coordination, clinical care and intervention experience, and HIV and substance use research to support the cohorts and comprehensively integrate cross-cohort data. The resulting resource of comprehensively integrated data will give researchers the potential to address important scientific and public health questions that would otherwise not be possible in individual cohorts. We will work with cohorts to allow complex, careful and complete analyses of outcomes and results across diverse populations using harmonized data. We will bring in data from other cohorts and studies as needed to ensure that adequate clinical, biomarker, and/or genetic data are available to address key questions. Careful data harmonization where appropriate will improve the statistical power to identify areas or sub-groups for research focus and to understand what interventions are proving successful in the broader context of the whole population of PWH (as opposed to the target population of a single cohort). This team brings vast experience with HIV cohort data; data linkage and harmonization; methods development; statistical support including causal inference from longitudinal observational data; health informatics platform and tool infrastructure and development including data repositories and tools for efficient and accurate electronically collected patient reported outcomes and outcomes adjudication; providing overall coordination for large collaborations of cohorts and studies; a strong background in clinical epidemiology of HIV and substance use; and expertise in applying this information to clinical care and interventions. We also have a comprehensive mentoring approach to develop a new generation of HIV and substance use researchers. We will support cohorts to enhance data collection where appropriate, merge and harmonize data when feasible, and work together to address key questions on HIV, substance use, and outcomes that cannot be addressed by individual cohorts. By providing project management, mentorship, and support, as well as developing a robust data repository, and accomplishing the integration and linkage of data, we will achieve a multi-disciplinary integrated network with multi-site data with sufficient sizes needed to address substance use and its impacts among PWH.