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Comparing three knowledge communication strategies - Diffusion, Dissemination and Translation - through randomized

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This study compared knowledge sharing strategies for assistive technology stakeholders. Dissemination and Translation were more effective than Diffusion, but equally so, highlighting relevance over tailoring for knowledge use.

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Area of Science:

  • Rehabilitation and Assistive Technology
  • Knowledge Translation
  • Health Communication

Background:

  • Effective communication of research-based knowledge is crucial for advancing assistive technology (AT).
  • Various strategies exist for knowledge transfer, but their comparative effectiveness is not fully understood.
  • Understanding how different stakeholder groups utilize new AT knowledge is essential.

Purpose of the Study:

  • To compare the effectiveness of three knowledge communication strategies: Diffusion, Dissemination, and Translation.
  • To assess the impact of these strategies on the knowledge use levels of different AT stakeholder groups.
  • To identify key factors influencing the adoption of new AT research findings.

Main Methods:

  • A series of three randomized controlled case studies were conducted.
  • The LOKUS instrument was used to measure pre and post intervention knowledge use levels (unaware, aware, interested, using).
  • Effectiveness was assessed by comparing outcomes across the three communication strategies and various stakeholder groups.

Main Results:

  • Both Dissemination and Translation strategies were more effective than the Diffusion strategy in promoting knowledge use.
  • Dissemination and Translation strategies demonstrated equal effectiveness.
  • The study found that tailoring research findings to specific audiences did not significantly add value compared to relevance.

Conclusions:

  • Relevance of research findings plays a critical role in determining knowledge use among AT stakeholders.
  • The effectiveness of knowledge communication strategies may be more influenced by the perceived relevance than by the degree of tailoring.
  • Future efforts in knowledge translation should prioritize ensuring the relevance of research to end-users and practitioners.