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促进急诊护理研究网络:融入临床转化与科学奖(CTSA)基础设施。

Facilitating emergency care research networks: integration into the Clinical Translational and Science Award (CTSA) infrastructure.

机构信息

University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Acad Emerg Med. 2009 Oct;16(10):1005-9. doi: 10.1111/j.1553-2712.2009.00524.x.

DOI:10.1111/j.1553-2712.2009.00524.x
PMID:19799580
Abstract

Emergency care research (ECR) does not fit neatly into the traditional National Institutes of Health (NIH) funding model, because emergency research involves undifferentiated disease presentations involving multiple disciplines and time-sensitive interventions. A task force of emergency care researchers and other stakeholders was convened to discuss the present and future state of clinical research networks. Integration of ECR with the Clinical Translational and Science Award (CTSA) program through a multidisciplinary emergency care research network (ECRN) would obviate the duplication of research efforts by disease-specific or institute-specific multicenter networks and reduce startup and maintenance costs. Strategies to enhance integration must include the training of emergency physician investigators in biostatistical and epidemiologic methods, as well as educating collaborative investigators in emergency care-related methodologies. Thus, an ECRN would be of great benefit to CTSA awardees and applicants and should be considered a priority.

摘要

急救医疗研究(ECR)并不完全符合传统的美国国立卫生研究院(NIH)资助模式,因为急救研究涉及涉及多个学科和时间敏感干预的未分化疾病表现。一个由急救医疗研究人员和其他利益相关者组成的工作组被召集来讨论临床研究网络的现状和未来。通过多学科急救医疗研究网络(ECRN)将 ECR 与临床转化和科学奖(CTSA)计划整合,将避免特定疾病或特定机构的多中心网络重复进行研究工作,并降低启动和维护成本。增强整合的策略必须包括培训急诊医师研究人员生物统计学和流行病学方法,以及教育与急救相关方法学的合作研究人员。因此,ECRN 将极大地有益于 CTSA 获奖者和申请者,应该被视为优先事项。

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Emergency Medicine Resources Within the Clinical Translational Science Institutes: A Cross-sectional Study.临床转化科学研究所内的急诊医学资源:一项横断面研究。
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The quantitative evaluation of the Clinical and Translational Science Awards (CTSA) program based on science mapping and scientometric analysis.基于科学图谱和科学计量分析的临床与转化科学奖(CTSA)项目的定量评估。
Clin Transl Sci. 2013 Dec;6(6):452-7. doi: 10.1111/cts.12078. Epub 2013 Jul 8.
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Visualizing the data - using lifelines2 to gain insights from data drawn from a clinical data repository.
可视化数据——使用lifelines2从临床数据存储库中提取的数据中获取见解。
AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:168-72. eCollection 2013.