Skip to main content
padlock icon - secure page this page is secure

Open Access Rethinking knowledge translation for public health policy

Download Article:
(HTML 62 kb)
(PDF 120.8 kb)

This article is Open Access under the terms of the Creative Commons CC BY-NC licence.

There is continuing interest in using the best available research evidence to inform public health policy. However, all too often efforts to do so rely on mechanistic and unrealistic views of the process by which public policy is made. As a result, traditional dyadic knowledge translation (KT) approaches may not be particularly effective when applied to public policy decision making. However, using examples drawn from public health policy, it is clear that work in political science on multiplicity, hierarchy and networks can offer some insight into what effective KT might look like for informing public policy. To be effective, KT approaches must be more appropriately tailored depending on the audience size, audience breadth, the policy context, and the dominant policy instrument.

15 References.

No Supplementary Data.
No Article Media
No Metrics

Keywords: evidence-based policy; knowledge translation; policy instruments; public health

Document Type: Research Article

Affiliations: 1: University of Ottawa, Canada 2: York University, Canada

Publication date: February 2020

This article was made available online on March 31, 2018 as a Fast Track article with title: "Rethinking knowledge translation for public health policy".

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more