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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Lessons on integrated knowledge translation through algorithm's utilization in homecare services: a multiple case

Mélanie Ruest1,2, Guillaume Léonard2,3, Aliki Thomas4,5

  • 1Health Sciences Research Programs, Faculty of Medicine and Health Sciences, Université de Sherbrooke.

JBI Evidence Implementation
|June 2, 2021
PubMed
Summary
This summary is machine-generated.

Integrated knowledge translation (IKT) facilitated algorithm use in homecare, but recipient and context factors hindered advanced utilization. Further strategies are needed to sustain IKT benefits in healthcare settings.

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Area of Science:

  • Health Services Research
  • Knowledge Translation
  • Implementation Science

Background:

  • Integrated knowledge translation (IKT) is crucial for bridging the gap between research and practice in healthcare.
  • Limited studies document the impact of IKT on optimizing knowledge uptake in clinical settings.
  • An IKT-based clinical algorithm (Algo) was developed to guide skill mix for bathing equipment selection in homecare.

Purpose of the Study:

  • To document the characteristics of the IKT process associated with the Algo algorithm's utilization in Quebec homecare services.
  • To identify factors influencing the adoption and impact of an IKT-driven tool in a community-dwelling adult population.

Main Methods:

  • A multiple-case study with a nested concurrent mixed-methods design was employed.
  • Data collection included quantitative (electronic questionnaires) and qualitative (interviews, focus groups) methods.
  • Analysis involved descriptive statistics and thematic analysis, utilizing a mixed-methods matrix for intra/intercase comparisons.

Main Results:

  • Five levels of Algo utilization were documented: reception, cognition, reference, effort, and impact.
  • Innovation characteristics, such as underlying knowledge, facilitated dissemination and use.
  • Recipient factors (unclear implementation mechanisms) and Context factors (nonaligned organizational mandates) impeded advanced utilization.

Conclusions:

  • The IKT approach demonstrated benefits for algorithm utilization in healthcare settings.
  • While IKT facilitates initial implementation, sustained use requires consideration of local, organizational, and external contextual factors.
  • Facilitation strategies should highlight administrative benefits and be tailored to specific homecare service characteristics.