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: 8811415
• 负责人: Heidi M. Crane
• 金额: $ 70.06万
• 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/8811415
• 关键词: AIDS prevention; AIDS/HIV problem; Address; Adherence; Alcohol or Other Drugs use; Atherosclerosis; 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; Goals; HIV; HIV Infections; Health; Human immunodeficiency virus test; Individual; Information Systems; Intervention; Knowledge; Lead; Life; Link; Long-Term Effects; Methodology; Methods; 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; Substance Abuse Detection; System; Testing; Vulnerable Populations; Work; antiretroviral therapy; base; cardiovascular health; clinical care; clinical research site; cohort; comparison group; data integration; experience; improved; innovation; interest; novel; protocol development; 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）：寻求，测试，治疗和保留（STTR）数据协调协调中心（DCC）的目的是协调和支持使用集成的协调数据集来测试STTR范例的有效性，并提高对艾滋病毒感染，药物滥用和艾滋病毒治疗级联交叉的理解。这将需要一个在数据协调、多地点协调和药物滥用干预和艾滋病毒感染者（PLWH）影响研究方面经验丰富的数据协调中心，以全面整合来自多项研究的临床研究数据。因此，我们提出以下目标：1)为STTR数据协调倡议提供业务、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。3)与一个由药物滥用和艾滋病毒专家、生物统计学家、流行病学家、NIDA专家和其他相关方组成的多学科团队合作，制定和实施最先进的科学议程，包括传播和出版计划，以提高PLWH对药物滥用的理解，并促进药物滥用和测试、参与、治疗的研究。以及在护理方面的保留。我们非常适合领导STTR DCC，具有临床艾滋病毒研究背景，包括药物使用，生物统计学，流行病学和项目协调方面的专业知识，以及在PLWH队列和研究方面的数据协调方面的丰富经验。我们将测试和推进整合、分析和解释统一大数据集的新兴方法；作为促进和支持研究现场活动的集中资源；并使用STTR综合数据集进行跨站点分析。在与NIDA和研究pi协商后，我们将领导一个强大的研究议程，重点关注临床问题，这需要一个研究联盟的力量，以成功地获得答案，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。