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Despite significant investment in and substantive productivity of biomedical, clinical, health services and population health research, consistent evidence shows that health systems fail to optimally use evidence with resulting inefficiencies and reduced quality of life. This has resulted in growing emphasis on knowledge translation and efforts to develop the science and practice of knowledge translation. In this article we describe a framework for knowledge
translation that can be used by decision makers and researchers.
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