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Revisiting interaction in knowledge translation.

Liane R Ginsburg1, Steven Lewis, Lisa Zackheim

  • 1School of Health Policy & Management, Faculty of Health, York University, 4700 Keele Street, Toronto, Ontario, M3J1P3, Canada. lgins@yorku.ca

Implementation Science : IS
|November 1, 2007
PubMed
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Interactive research translation models show limited effectiveness. Specific conditions, like stakeholder diversity and result actionability, influence decision-maker involvement, highlighting the need for refined research utilization models.

Area of Science:

  • Health Services Research
  • Knowledge Translation
  • Research Utilization

Background:

  • Despite advancements in research utilization theory, a persistent gap exists between research generation and practical application.
  • Traditional science-push and demand-pull models have been replaced by interactive approaches emphasizing researcher-decision-maker linkages.
  • Current interactive models may have limitations in bridging the research-practice gap.

Purpose of the Study:

  • To examine the impact of a specific interaction approach to research translation.
  • To investigate the effectiveness of a Canadian funding agency's research translation strategy.
  • To identify factors influencing the success of knowledge translation initiatives.

Main Methods:

  • A case study approach was employed.

Related Experiment Videos

  • The study focused on one specific interaction method used by a Canadian funding agency.
  • Analysis centered on understanding the dynamics of research translation.
  • Main Results:

    • Effectiveness of decision-maker involvement varies based on specific conditions.
    • Key attributes influencing research utilization include stakeholder diversity, result actionability, study design finality, and politicization.
    • These attributes can help specify conditions for effective knowledge translation.

    Conclusions:

    • Interaction approaches to research translation may be less effective than currently theorized.
    • There is a critical need for more precisely defined research utilization models.
    • Addressing the slow pace of translating research into practice requires improved theoretical frameworks.