Harris Anthony D, McGregor Jessina C, Perencevich Eli N, Furuno Jon P, Zhu Jingkun, Peterson Dan E, Finkelstein Joseph
Division of Healthcare Outcomes Research, Department of Epidemiology and Preventive Medicine, University of Maryland School of Medicine, 100 N. Greene Street, Lower Level, Baltimore, MD, USA.
J Am Med Inform Assoc. 2006 Jan-Feb;13(1):16-23. doi: 10.1197/jamia.M1749. Epub 2005 Oct 12.
Quasi-experimental study designs, often described as nonrandomized, pre-post intervention studies, are common in the medical informatics literature. Yet little has been written about the benefits and limitations of the quasi-experimental approach as applied to informatics studies. This paper outlines a relative hierarchy and nomenclature of quasi-experimental study designs that is applicable to medical informatics intervention studies. In addition, the authors performed a systematic review of two medical informatics journals, the Journal of the American Medical Informatics Association (JAMIA) and the International Journal of Medical Informatics (IJMI), to determine the number of quasi-experimental studies published and how the studies are classified on the above-mentioned relative hierarchy. They hope that future medical informatics studies will implement higher level quasi-experimental study designs that yield more convincing evidence for causal links between medical informatics interventions and outcomes.
准实验研究设计,通常被描述为非随机的干预前后研究,在医学信息学文献中很常见。然而,关于准实验方法应用于信息学研究的益处和局限性,却鲜有著述。本文概述了适用于医学信息学干预研究的准实验研究设计的相对层次结构和命名法。此外,作者对两本医学信息学期刊《美国医学信息学协会杂志》(JAMIA)和《国际医学信息学杂志》(IJMI)进行了系统综述,以确定发表的准实验研究数量以及这些研究在上述相对层次结构中的分类方式。他们希望未来的医学信息学研究将采用更高层次的准实验研究设计,从而为医学信息学干预与结果之间的因果关系提供更有说服力的证据。