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Models of Health Promotion and Illness Prevention II01:18

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The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
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Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
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Developing a systems thinking guide for enhancing knowledge mobilisation in prevention research.

Michelle J Irving1, Melanie Pescud2, Eloise Howse3

  • 1The Australian Prevention Partnership Centre, Sax Institute, Sydney, NSW, Australia; Menzies Centre for Health Policy, School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia; michelle.irving@sydney.edu.au.

Public Health Research & Practice
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PubMed
Summary
This summary is machine-generated.

This study introduces a systems thinking guide for knowledge mobilisation, enhancing research impact in policy and practice. The tool aids prevention researchers in applying systems approaches to collaborative knowledge sharing and application.

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Area of Science:

  • Public Health
  • Research Impact
  • Knowledge Mobilisation

Background:

  • Knowledge mobilisation aims to enhance research impact in policy and practice.
  • Effective knowledge mobilisation involves iterative, collaborative social interaction.
  • Systems thinking can strengthen knowledge mobilisation processes.

Purpose of the Study:

  • To develop an applied tool supporting prevention researchers in integrating systems thinking into knowledge mobilisation.
  • To create a 'systems thinking guide for knowledge mobilisation' for practical application.

Main Methods:

  • Inductive thematic synthesis of existing research.
  • Reflexive deliberation and author experience integration.
  • Development and user-testing of a question-based guide through workshops and feedback.

Main Results:

  • A 'systems thinking guide for knowledge mobilisation' was developed.
  • The guide comprises 13 questions and 18 subquestions.
  • The tool assists researchers in framing knowledge mobilisation using a systems perspective.

Conclusions:

  • The developed guide offers a structured approach for researchers.
  • Further application and feedback are planned for refinement.
  • The tool is available for testing by other research teams to gather feedback.