The use and interpretation of quasi-experimental studies in medical informatics

Anthony D. Harris, Jessina C. McGregor, Eli N. Perencevich, Jon P. Furuno, Jingkun Zhu, Dan E. Peterson, Joseph Finkelstein

Research output: Contribution to journalArticlepeer-review

509 Scopus citations


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 languageEnglish
Pages (from-to)16-23
Number of pages8
JournalJournal of the American Medical Informatics Association : JAMIA
Issue number1
StatePublished - Jan 2006
Externally publishedYes


Dive into the research topics of 'The use and interpretation of quasi-experimental studies in medical informatics'. Together they form a unique fingerprint.

Cite this