Chandler Redonna K, Kahana Shoshana Y, Fletcher Bennett, Jones Dionne, Finger Matthew S, Aklin Will M, Hamill Kathleen, Webb Candace
Redonna K. Chandler, Shoshana Y. Kahana, Bennett Fletcher, Dionne Jones, Matthew S. Finger, Will M. Aklin, and Kathleen Hamill are with the National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD. Candace Webb is with Health Resources and Services Administration, HIV/AIDS Bureau, Rockville, MD.
Am J Public Health. 2015 Dec;105(12):2416-22. doi: 10.2105/AJPH.2015.302788. Epub 2015 Oct 15.
Large-scale, multisite data sets offer the potential for exploring the public health benefits of biomedical interventions. Data harmonization is an emerging strategy to increase the comparability of research data collected across independent studies, enabling research questions to be addressed beyond the capacity of any individual study. The National Institute on Drug Abuse recently implemented this novel strategy to prospectively collect and harmonize data across 22 independent research studies developing and empirically testing interventions to effectively deliver an HIV continuum of care to diverse drug-abusing populations. We describe this data collection and harmonization effort, collectively known as the Seek, Test, Treat, and Retain Data Collection and Harmonization Initiative, which can serve as a model applicable to other research endeavors.
大规模、多地点数据集为探索生物医学干预措施的公共卫生效益提供了潜力。数据协调是一种新兴策略,旨在提高独立研究中所收集研究数据的可比性,使研究问题能够在任何单个研究的能力范围之外得到探讨。美国国家药物滥用研究所最近实施了这一新颖策略,以前瞻性地收集和协调22项独立研究的数据,这些研究正在开发并通过实证检验干预措施,以便有效地为不同的药物滥用人群提供连续的艾滋病毒护理。我们描述了这一数据收集与协调工作,它统称为“寻找、检测、治疗和留住数据收集与协调倡议”,可作为适用于其他研究工作的典范。