Seek, Test, Treat, and Retain Data Harmonization Coordinating Center

寻求、测试、处理和保留数据协调中心

• 批准号: 9335086
• 负责人: Heidi M. Crane
• 金额: $ 9.27万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-03-01 至 2019-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9335086
• 关键词: AIDS prevention; AIDS/HIV problem; Address; Adherence; Alcohol or Other Drugs use; Behavior; Biometry; Biostatistics Core; Caring; Clinical; Clinical Data; Clinical Informatics; Clinical Research; Cohort Studies; Collaborations; Consultations; Criminal Justice; Data; Data Coordinating Center; Data Set; Development; Disease; Drug abuse; Effectiveness; Ensure; Epidemiologist; Epidemiology; Gender; Geography; Goals; HIV; HIV Infections; Human immunodeficiency virus test; Individual; Intervention; Knowledge; Lead; Link; Logistics; Long-Term Effects; Methodology; Methods; Multi-Ethnic Study of Atherosclerosis; National Institute of Drug Abuse; North America; Outcome; Patients; Persons; Population; Positioning Attribute; Public Health; Publications; Research; Research Infrastructure; Research Personnel; Research Support; Resources; Risk; Risk Factors; Sample Size; Sampling; Site; Source; System; Testing; Vulnerable Populations; Work; antiretroviral therapy; base; cardiovascular health; clinical care; clinical research site; cohort; comparison group; data integration; data resource; drug testing; experience; improved; improved outcome; innovation; interest; multidisciplinary; novel; protocol development; public health relevance; racial diversity; tool; transmission process

DESCRIPTION (provided by applicant): The purpose of the Seek, Test, Treat, and Retain (STTR) Data Harmonization Coordinating Center (DCC) is to coordinate and support the use of an integrated harmonized data set to test the effectiveness of the STTR paradigm and to improve understanding of the intersection of HIV infection, drug abuse, and the HIV treatment cascade. This will require a DCC experienced in data harmonization, multi-site coordination, and research on drug abuse interventions and impact among persons living with HIV (PLWH) to comprehensively integrate clinical research data from multiple studies. Therefore, we propose the following aims: 1) Provide operational, administrative, and logistical support for the STTR data harmonization initiative 2) Identify and obtain access to STTR data from existing HIV sources. Inclusion of CNICS data has already been approved by the CNICS Executive Committee. 3) Work with a multi-disciplinary team of drug abuse and HIV experts, biostatisticians, epidemiologists, experts from NIDA, and other interested parties to develop and implement a state-of-the-art scientific agenda, including a dissemination and publication plan, that advances the understanding of drug abuse among PLWH, and facilitates studies of drug abuse and testing, engagement, treatment, and retention in care. We are ideally suited to lead the STTR DCC, bringing a background of clinical HIV research including substance use, expertise in biostatistics, epidemiology and project coordination, and vast experience with data harmonization for cohorts and studies of PLWH. We will test and advance emerging methods for integrating, analyzing, and interpreting harmonized large data sets; serve as a centralized resource to facilitate and support research site activities; and conduct cross-site analyses using the STTR integrated dataset. In consultation with NIDA and the study PIs, we will lead a strong research agenda focused on the clinical questions that requires the power of a consortium of studies to successfully elicit answers to generate new knowledge on the intersection of HIV, drug abuse and the HIV treatment cascade to inform future research and clinical care in the US and globally.

描述（由申请人提供）：查找、检测、治疗和保留（STTR）数据协调中心（DCC）的目的是协调和支持使用综合协调数据集，以检测STTR范式的有效性，并提高对HIV感染、药物滥用和HIV治疗级联交叉点的理解。这将需要一个在数据协调、多地点协调和研究药物滥用干预措施以及艾滋病毒感染者（PLWH）影响方面经验丰富的DCC，以全面整合多项研究的临床研究数据。因此，我们提出了以下目标：1）为STTR数据协调倡议提供操作，行政和后勤支持2）从现有的艾滋病毒来源识别和获取STTR数据。数据中心执行委员会已经批准列入数据中心的数据。3)与药物滥用和艾滋病毒专家，生物统计学家，流行病学家，NIDA专家和其他有关各方的多学科团队合作，制定和实施最先进的科学议程，包括传播和出版计划，促进对PLWH药物滥用的理解，并促进药物滥用和测试，参与，治疗和护理保留的研究。我们非常适合领导STTR DCC，带来了临床艾滋病毒研究的背景，包括物质使用，生物统计学，流行病学和项目协调方面的专业知识，以及PLWH队列和研究数据协调方面的丰富经验。我们将测试和推进集成，分析和解释协调的大型数据集的新兴方法;作为一个集中的资源，以促进和支持研究中心的活动;并使用STTR集成数据集进行跨站点分析。在与NIDA和研究PI协商后，我们将领导一个强有力的研究议程，重点关注临床问题，这些问题需要一个研究联盟的力量来成功地得出答案，以产生关于艾滋病毒，药物滥用和艾滋病毒治疗级联交叉的新知识，为美国和全球未来的研究和临床护理提供信息。