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Simple rules for evidence translation in complex systems: A qualitative study.

Julie E Reed1,2, Cathy Howe3,4, Cathal Doyle3,4

  • 1National Institute of Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Northwest London, Chelsea, London, UK. Julie.reed@imperial.ac.uk.

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Summary
This summary is machine-generated.

Complexity thinking offers new strategies for evidence translation in healthcare. The SHIFT-Evidence framework and its simple rules guide practice and research for better patient outcomes in complex systems.

Keywords:
Complex adaptive systemsComplex systemsComplexity theoryEvidence translationFrameworkImplementationQuality improvement

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Area of Science:

  • Healthcare Systems Science
  • Translational Science
  • Complexity Theory

Background:

  • Traditional evidence translation methods are ineffective in complex healthcare systems.
  • Complexity thinking, emphasizing interconnectedness and unpredictability, offers a novel approach.
  • This research explores sustaining improvements within intricate healthcare environments.

Purpose of the Study:

  • To advance empirical and theoretical understanding of evidence translation in complex healthcare systems.
  • To develop a framework and practical strategies for effective evidence implementation.
  • To inform theories and strategies for translating evidence into healthcare practice.

Main Methods:

  • Analytical auto-ethnography over 5 years, observing 22 UK evidence translation projects.
  • Documentary analysis and literature review.
  • Grounded theory for theory development, interpreted using complexity theory to identify 'simple rules'.

Main Results:

  • The SHIFT-Evidence framework was developed, positioning evidence translation within dynamic health systems.
  • Three strategic principles guide the framework: 'act scientifically and pragmatically,' 'embrace complexity,' and 'engage and empower.'
  • Twelve actionable 'simple rules' were identified to support evidence translation and improvement in complex systems.

Conclusions:

  • The SHIFT-Evidence framework and its simple rules offer a practical tool for guiding healthcare practice and research.
  • Recognizing agency, interconnectedness, and unpredictability is crucial for effective evidence translation.
  • The simple rules can foster collaboration among academics, practitioners, patients, and policymakers for healthcare improvement.