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A call for a backward design to knowledge translation.

Fadi El-Jardali1, Racha Fadlallah2

  • 1Department of Health Management and Policy, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon. ; Knowledge to Policy (K2P) Center, American University of Beirut, Beirut, Lebanon. ; Center for Systematic Reviews in Health Policy and Systems Research (SPARK), American University of Beirut, Beirut, Lebanon. ; Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.

International Journal of Health Policy and Management
|January 14, 2015
PubMed
Summary

This study presents a holistic framework to improve evidence-informed policy-making by viewing knowledge translation as a continuum. It highlights capacity and resources needed for effective evidence uptake in policy development.

Keywords:
Evidence-Informed PolicyKnowledge Translation (KT)LebanonResearch Utilization

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Area of Science:

  • Health Policy
  • Knowledge Translation
  • Evidence-Informed Decision-Making

Background:

  • Persistent challenges exist in translating research evidence into effective public policy.
  • Existing Knowledge Translation (KT) frameworks offer valuable insights but require further integration for practical application.

Purpose of the Study:

  • To present a simple, holistic conceptual framework for promoting evidence-informed policies.
  • To integrate and build upon existing KT theories and frameworks.
  • To guide the practical implementation of evidence into policy.

Main Methods:

  • Synthesizing existing Knowledge Translation (KT) theories and frameworks.
  • Developing a novel, impact-oriented conceptual framework.
  • Illustrating the framework's application with a practical example.

Main Results:

  • A continuum-based KT framework is proposed, spanning evidence synthesis to policy uptake and evaluation.
  • The framework emphasizes the critical role of capacity and resource allocation at each stage.
  • The practical example demonstrates a step-by-step approach for applying the framework.

Conclusions:

  • The proposed framework offers a structured approach to enhance the uptake of evidence in policy-making.
  • Continuous theoretical development is essential to strengthen the science of KT in policy contexts.
  • Effective implementation requires attention to capacity building and resource management throughout the KT process.