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Taking knowledge users' knowledge needs into account in health: an evidence synthesis framework.

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Health Policy and Planning
|September 2, 2015
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Summary

This study introduces an evidence synthesis framework to match user knowledge needs with appropriate research outputs. The framework aids health policy and practice by systematically assessing characteristics like readability and relevance for better knowledge translation.

Keywords:
Communication research into policyevidence into policyknowledge

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Area of Science:

  • Health Policy
  • Knowledge Translation
  • Evidence Synthesis

Background:

  • Growing demand for evidence-based practice in health policy.
  • Need for effective knowledge translation from researchers to policymakers and practitioners.
  • Challenges in matching user knowledge needs with suitable evidence outputs.

Purpose of the Study:

  • To develop an evidence synthesis framework.
  • To aid knowledge users, brokers, commissioners, and producers in selecting appropriate evidence outputs.
  • To improve the 'fit' between knowledge needs and available research responses.

Main Methods:

  • Conducted a four-strand literature search on evidence synthesis outputs.
  • Consulted eight experts in research synthesis for policy and practice.
  • Included 24 documents in the literature review.
  • Identified essential characteristics: Readability, Relevance, Rigour, and Resources.

Main Results:

  • Developed a process for matching user knowledge needs with evidence synthesis outputs.
  • Identified 10 distinct evidence synthesis outputs.
  • Classified outputs into four domains: key features, utility, technical characteristics, and resources.
  • Related outputs to six primary audience groups: professionals, practitioners, researchers, academics, advocates, and policymakers.

Conclusions:

  • User knowledge needs are diverse and require collaborative planning for successful translation.
  • The developed framework facilitates systematic assessment for selecting the best evidence synthesis output.
  • Enhances the balance of essential characteristics for effective knowledge translation in health policy and practice.