A call for a backward design to knowledge translation.

Fadi El-Jardali,Racha Fadlallah

doi:10.15171/ijhpm.2015.10

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.

Highlights

Evidence-informed policy-making refers to the use of the best available data and research evidence in the time available to inform policy decisions [1]
A review of the literature revealed a positive movement towards Knowledge Translation (KT) in policy-making, with numerous KT frameworks being developed and proposed over the last decade to promote evidence-informed policies [6,7]
Capacity building and resource requirement are incorporated into every step of the framework as critical components to successful evidence-informed policy-making

Summary

Introduction

Evidence-informed policy-making refers to the use of the best available data and research evidence in the time available to inform policy decisions [1]. Capacity building and resource requirement are incorporated into every step of the framework as critical components to successful evidence-informed policy-making.

Results

Conclusion