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.
| Original language | English |
|---|---|
| Pages (from-to) | 16-23 |
| Number of pages | 8 |
| Journal | Journal of the American Medical Informatics Association |
| Volume | 13 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2006 |
| Externally published | Yes |
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