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First published June 25, 2008 as JAMIA PrePrint; doi:10.1197/jamia.M2518
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J Am Med Inform Assoc. 2008;15:575-580. DOI 10.1197/jamia.M2518.
© 2008 American Medical Informatics Association


Model Formulation

Methodologic Issues in Health Informatics Trials: The Complexities of Complex Interventions

Ivan Shcherbatykh, MD, MPHa,b,*, Anne Holbrook, MD, PharmD, MSca,b,c, Lehana Thabane, PhDa,b, Lisa Dolovich, PharmD, MSca,d COMPETE III investigators

a Centre for Evaluation of Medicines, St Joseph's Healthcare Hamilton Hamilton, ON, Canada
b Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada
c Division of Clinical Pharmacology and Therapeutics, Department of Medicine, McMaster University, Hamilton, ON, Canada
d Department of Family Medicine, McMaster University, Hamilton, ON, Canada

* Correspondence: Ivan Shcherbatykh, Centre for Evaluation of Medicines, 105 Main Street East, Level P1, Hamilton, Ontario L8N1G6 Canada (Email: shcheriy{at}mcmaster.ca).

Received for publication: 05/22/07; accepted for publication: 04/27/08.

Objective: All electronic health (e-health) interventions require validation as health information technologies, ideally in randomized controlled trial settings. However, as with other types of complex interventions involving various active components and multiple targets, health informatics trials often experience problems of design, methodology, or analysis that can influence the results and acceptance of the research. Our objective was to review selected key methodologic issues in conducting and reporting randomized controlled trials in health informatics, provide examples from a recent study, and present practical recommendations.

Design: For illustration, we use the COMPETE III study, a large randomized controlled clinical trial investigating the impact of a shared decision-support system on the quality of vascular disease management in Ontario, Canada.

Results: We describe a set of methodologic, logistic, and statistical issues that should be considered when planning and implementing trials of complex e-health interventions, and provide practical recommendations for health informatics trialists.

Conclusions: Our recommendations emphasize validity and pragmatic considerations and would be useful for health informaticians conducting or evaluating e-health studies.







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Copyright © 2008 by the American Medical Informatics Association.