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How does context influence collaborative decision-making for health services planning, delivery and evaluation?

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Integrated knowledge translation (IKT) strengthens research use for better health outcomes. Contextual factors, leadership, and dedicated resources are key to overcoming challenges and optimizing IKT in health services.

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Area of Science:

  • Health Services Research
  • Knowledge Translation
  • Health Policy

Background:

  • Integrated knowledge translation (IKT) involves collaboration between researchers and decision-makers to improve research relevance and application.
  • Despite its benefits for decision-making and health outcomes, IKT faces significant challenges hindering its widespread adoption.
  • Understanding the influence of context on IKT is crucial for developing strategies to strengthen its practice.

Purpose of the Study:

  • To explore how context influences integrated knowledge translation (IKT) in health services.
  • To identify factors that can strengthen the practice and impact of IKT.

Main Methods:

  • Qualitative methods were employed to investigate IKT within three specific health service programs.
  • Data collection involved document analysis, meeting observations, and interviews with researchers and decision-makers.
  • Analysis integrated data from 39 documents, 6 observed meetings, and 36 interviews.

Main Results:

  • IKT activities included meeting interactions, joint research, and guideline development.
  • Successful IKT was associated with strong leadership, clear goals, dedicated funding, and embedded researchers.
  • Despite challenges like time constraints and lack of incentives, IKT programs can achieve social, research, and health service outcomes.

Conclusions:

  • Findings offer a framework for planning and evaluating IKT to improve health services decision-making, planning, delivery, and quality improvement.
  • Researchers, clinicians, managers, and policymakers can utilize these insights to enhance collaborative efforts.
  • Further research is recommended to validate findings across diverse settings and optimize IKT strategies.