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

doi:10.1197/jamia.M1749

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

Journal article

Open access

Peer reviewed

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 and Joseph Finkelstein

Journal of the American Medical Informatics Association : JAMIA, Vol.13(1), pp.16-23

01/2006

DOI: 10.1197/jamia.M1749

PMCID: PMC1380192

PMID: 16221933

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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.

Medical Informatics - methods

Research Design

Evaluation Studies as Topic

Details

Title: Subtitle: The use and interpretation of quasi-experimental studies in medical informatics
Creators: Anthony D Harris - 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. aharris@epi.umaryland.edu
Jessina C McGregor
Eli N Perencevich
Jon P Furuno
Jingkun Zhu
Dan E Peterson
Joseph Finkelstein
Resource Type: Journal article
Publication Details: Journal of the American Medical Informatics Association : JAMIA, Vol.13(1), pp.16-23
DOI: 10.1197/jamia.M1749
PMID: 16221933
PMCID: PMC1380192
NLM abbreviation: J Am Med Inform Assoc
ISSN: 1067-5027
eISSN: 1527-974X
Publisher: England
Grant note: R01 HL071690 / NHLBI NIH HHS R01 AI60859-01A1 / NIAID NIH HHS R01 HL71690 / NHLBI NIH HHS R01 HL078579 / NHLBI NIH HHS K23 AI01752-01A1 / NIAID NIH HHS
Language: English
Date published: 01/2006
Academic Unit: Epidemiology; Internal Medicine
Record Identifier: 9983779490002771

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