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Methodologic Issues in Health Informatics Trials: The Complexities of Complex Interventions
Author(s) -
Ivan Y. Shcherbatykh,
Anne Holbrook,
Lehana Thabane,
Lisa Dolovich
Publication year - 2008
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1197/jamia.m2518
Subject(s) - psychological intervention , informatics , health informatics , health administration informatics , randomized controlled trial , key (lock) , health information technology , medicine , public health informatics , medline , translational research informatics , clinical trial , data science , computer science , health care , nursing , health policy , public health , hrhis , pathology , engineering , political science , electrical engineering , computer security , law
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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