Creating and implementing a COVID-19 recruitment Data Mart.
Creating and implementing a COVID-19 recruitment Data Mart.
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DOI：
10.1016/j.jbi.2021.103765
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发表时间：
2021-05
影响因子：
4.5
通讯作者：
Harris PA
中科院分区：
文献类型：
--
作者：
Helmer TT;Lewis AA;McEver M;Delacqua F;Pastern CL;Kennedy N;Edwards TL;Woodward BO;Harris PA
COVID-19 大流行给医疗保健系统的各个方面带来了前所未有的压力，临床研究也不例外。研究人员正在争分夺秒地加强针对 COVID-19 各个方面的研究——更好地了解人际传播、改进诊断方法、开发治疗感染的疗法和预防感染的疫苗。该病毒对研究工作的影响不仅限于研究人员及其团队。潜在的参与者还面临着无与伦比的参与研究的机会和要求，这可能会导致参与者严重疲劳。范德比尔特临床和转化研究所在大流行初期就认识到，帮助研究人员快速识别潜在参与者的解决方案至关重要，因此开发了 COVID-19 招聘数据集市。该解决方案不仅仅依赖于技术；还依赖于技术。增加经验丰富的项目经理来支持研究人员和促进合作至关重要。自 2020 年 7 月 20 日推出该平台和研究支持工具以来，已启动四项研究，并共享了总共 1693 项潜在参与者匹配。这些患者均事先同意直接接触 COVID-19 研究，并符合特定研究的纳入/排除标准。我们创新的数据集市系统具有可扩展性，作为一种通用解决方案，它看起来很有前景，可以根据一组时间敏感的试验机会同时推荐一组患者中的个体。
The COVID-19 pandemic has resulted in an unprecedented strain on every aspect of the healthcare system, and clinical research is no exception. Researchers are working against the clock to ramp up research studies addressing every angle of COVID-19 – gaining a better understanding of person-to-person transmission, improving methods for diagnosis, and developing therapies to treat infection and vaccines to prevent it. The impact of the virus on research efforts is not limited to investigators and their teams. Potential participants also face unparalleled opportunities and requests to participate in research, which can result in a significant amount of participant fatigue. The Vanderbilt Institute for Clinical and Translational Research recognized early in the pandemic that a solution to assist researchers in the rapid identification of potential participants was critical, and thus developed the COVID-19 Recruitment Data Mart. This solution does not rest solely on technology; the addition of experienced project managers to support researchers and facilitate collaboration was essential. Since the platform and study support tools were launched on July 20, 2020, four studies have been onboarded and a total of 1693 potential participant matches have been shared. Each of these patients had agreed in advance to direct contact for COVID-19 research and had been matched to study-specific inclusion/exclusion criteria. Our innovative Data Mart system is scalable and looks promising as a generalizable solution for simultaneously recommending individuals from a pool of patients against a pool of time-sensitive trial opportunities.