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Using intervention mapping framework to develop knowledge translation program: a scoping review.

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This summary is machine-generated.

Intervention Mapping (IM) is a robust framework for knowledge translation (KT), but challenges like incomplete step adoption and geographic bias exist. Strengthening theoretical education and localizing the IM framework can improve its global application.

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Area of Science:

  • Health Services Research
  • Public Health
  • Implementation Science

Background:

  • Knowledge translation (KT) aims to bridge the evidence-practice gap in healthcare.
  • Intervention Mapping (IM) is a structured framework designed to guide the development and implementation of health interventions.
  • Understanding the application and effectiveness of IM in KT is crucial for optimizing health outcomes.

Purpose of the Study:

  • To systematically review the application of Intervention Mapping (IM) in knowledge translation (KT) processes.
  • To evaluate the effectiveness, completeness, advantages, and challenges associated with using IM in various healthcare settings.
  • To identify factors influencing the successful implementation and scalability of IM.

Main Methods:

  • A scoping review was conducted following Joanna Briggs Institute (JBI) guidelines.
  • Searched major databases (PubMed, Embase, Web of Science, Chinese databases) for studies published between 1998 and 2024.
  • Extracted data on study characteristics, IM step application, results, and evaluation methods from 57 included studies.

Main Results:

  • IM is broadly applied across 18 healthcare domains, notably in maternal/child health, geriatrics, and endocrine/metabolic diseases.
  • While 64.9% of studies used all six IM steps, lower implementation rates were observed for steps 5 (85.9%) and 6 (78.9%).
  • Strengths include systematic design and stakeholder engagement; limitations involve funding reliance (84.2%) and regional concentration (47% from China, Netherlands, UK).

Conclusions:

  • IM offers a theory-driven framework that enhances intervention sustainability and adaptability in KT.
  • Incomplete adoption of IM steps, resource intensity, and geographic bias hinder its widespread application.
  • Future efforts should focus on enhancing theoretical education, standardizing IM application, unifying KT terminology, and localizing the IM framework to improve its effectiveness.