Journal of Clinical Epidemiology
Volume 64, Issue 1 , Pages 6-10, January 2011

Knowledge translation is the use of knowledge in health care decision making

  • Sharon E. Straus

      Affiliations

    • Department of Medicine, St. Michael’s Hospital, University of Toronto, 30 Bond Street, Shutter Wing 2-026, Toronto, Ontario M5B1W8, Canada
    • Corresponding Author InformationCorresponding author. Tel.: +416-603-5800.; fax: +416-864-8605.
  • ,
  • Jacqueline M. Tetroe

      Affiliations

    • Canadian Institutes of Health Research, Ottawa, Ontario K1A 0W9, Canada
  • ,
  • Ian D. Graham

      Affiliations

    • Canadian Institutes of Health Research, Ottawa, Ontario K1A 0W9, Canada

Accepted 14 August 2009. published online 18 November 2009.

Abstract 

Objective

To provide an overview of the science and practice of knowledge translation.

Study Design

Narrative review outlining what knowledge translation is and a framework for its use.

Results

Knowledge translation is defined as the use of knowledge in practice and decision making by the public, patients, health care professionals, managers, and policy makers. Failures to use research evidence to inform decision making are apparent across all these key decision maker groups. There are several proposed theories and frameworks for achieving knowledge translation. A conceptual framework developed by Graham et al., termed the knowledge-to-action cycle, provides an approach that builds on the commonalities found in an assessment of planned action theories.

Conclusions

Review of the evidence base for the science and practice of knowledge translation has identified several gaps including the need to develop valid strategies for assessing the determinants of knowledge use and for evaluating sustainability of knowledge translation interventions.

Keywords: Knowledge translation, Implementation research, Clinical decision making, Evidence-based practice, Research utilization

 

PII: S0895-4356(09)00267-4

doi:10.1016/j.jclinepi.2009.08.016

Journal of Clinical Epidemiology
Volume 64, Issue 1 , Pages 6-10, January 2011