Military Medical Research, Samueli Institute, 2101 East Coast Highway, Suite 300, Corona Del Mar, CA 92625, USA ; Department of Planning, Policy, and Design, School of Social Ecology, University of California Irvine, Irvine, CA 92697-7075, USA.
Samueli Institute, 1737 King Street, Alexandria, VA 22314, USA.
Evid Based Complement Alternat Med. 2014;2014:694804. doi: 10.1155/2014/694804. Epub 2014 Jan 19.
Background. Evidence rankings do not consider equally internal (IV), external (EV), and model validity (MV) for clinical studies including complementary and alternative medicine/integrative medicine (CAM/IM) research. This paper describe this model and offers an EV assessment tool (EVAT©) for weighing studies according to EV and MV in addition to IV. Methods. An abbreviated systematic review methodology was employed to search, assemble, and evaluate the literature that has been published on EV/MV criteria. Standard databases were searched for keywords relating to EV, MV, and bias-scoring from inception to Jan 2013. Tools identified and concepts described were pooled to assemble a robust tool for evaluating these quality criteria. Results. This study assembled a streamlined, objective tool to incorporate for the evaluation of quality of EV/MV research that is more sensitive to CAM/IM research. Conclusion. Improved reporting on EV can help produce and provide information that will help guide policy makers, public health researchers, and other scientists in their selection, development, and improvement in their research-tested intervention. Overall, clinical studies with high EV have the potential to provide the most useful information about "real-world" consequences of health interventions. It is hoped that this novel tool which considers IV, EV, and MV on equal footing will better guide clinical decision making.
背景。证据等级并未同等考虑包括补充和替代医学/整合医学(CAM/IM)研究在内的临床研究的内部(IV)、外部(EV)和模型有效性(MV)。本文描述了这一模型,并提供了一个 EV 评估工具(EVAT©),用于根据 EV 和 MV 以及 IV 来权衡研究。
方法。采用简化的系统综述方法,从开始到 2013 年 1 月,检索、收集和评估已发表的关于 EV/MV 标准的文献。标准数据库针对 EV、MV 和偏倚评分的关键词进行检索。确定工具并描述概念,以汇集用于评估这些质量标准的强大工具。
结果。本研究组装了一个精简、客观的工具,用于评估 EV/MV 研究的质量,对 CAM/IM 研究更敏感。
结论。改善 EV 的报告有助于提供有助于指导决策者、公共卫生研究人员和其他科学家选择、制定和改进经研究检验的干预措施的信息。总体而言,具有高 EV 的临床研究有可能提供有关健康干预措施“现实世界”后果的最有用信息。希望这个考虑到 IV、EV 和 MV 平等地位的新工具能够更好地指导临床决策。