| Literature DB >> 16221933 |
Anthony D Harris1, Jessina C McGregor, Eli N Perencevich, Jon P Furuno, Jingkun Zhu, Dan E Peterson, Joseph Finkelstein.
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.Mesh:
Year: 2005 PMID: 16221933 PMCID: PMC1380192 DOI: 10.1197/jamia.M1749
Source DB: PubMed Journal: J Am Med Inform Assoc ISSN: 1067-5027 Impact factor: 4.497