A Call for a Backward Design to Knowledge Translation

Abstract

Despite several calls to support evidence-informed policy-making, variations in uptake of evidence into policy persist. This editorial brings together and builds on previous Knowledge Translation (KT) frameworks and theories to present a simple, yet, holistic approach for promoting evidence-informed policies. The proposed conceptual framework is characterized by its impact-oriented approach and its view of KT as a continuum from the evidence synthesis stage to uptake and evaluation, while highlighting capacity and resource requirement at every step. A practical example is given to guide readers through the different steps of the framework. With a growing interest in strengthening evidence-informed policy-making, there is a need to continuously develop theories to understand and improve the science of KT and its implementation within the field of policy-making.