The Use and Interpretation of Quasi-Experimental Studies in Medical Informatics

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ID: 300892
2005
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Abstract
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.
Reference Key
openalex_W90845366 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Anthony Harris, Jessina C. McGregor, Eli N. Perencevich, Jon P. Furuno, Jingwei Zhu, Douglas E. Peterson, Joseph Finkelstein
Journal Journal of the American Medical Informatics Association : JAMIA
Year 2005
DOI
10.1197/jamia.m1749
URL
https://academic.oup.com/jamia/article-pdf/13/1/16/17373511/13-1-16.pdf
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