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Health Information Technology and Healthcare Information System01:30

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Implementation Science: Application of Evidence-Based Practice Models to Improve Healthcare Quality.

Sharon Tucker1, Molly McNett2, Bernadette Mazurek Melnyk1

  • 1Implementation Science Core, Helene Fuld Health Trust National Institute for EBP, College of Nursing, The Ohio State University, Columbus, OH, USA.

Worldviews on Evidence-Based Nursing
|March 29, 2021
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Summary
This summary is machine-generated.

Implementation science provides clinicians with models to bridge the knowledge-to-practice gap. Understanding these approaches helps integrate evidence-based practices (EBP) for better patient care and outcomes.

Keywords:
evidence-based practiceframeworkimplementation scienceimplementation strategiesmodelmodel selection

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Area of Science:

  • Healthcare implementation science
  • Evidence-based practice (EBP) integration
  • Clinical practice transformation

Background:

  • Translating research into practice is challenging for clinicians, leading to a gap in high-quality patient care.
  • Implementation science offers theoretical frameworks to guide the adoption and sustainability of practice changes.
  • Clinicians often lack the necessary knowledge, time, and resources regarding EBP models, exacerbating the knowledge-to-practice gap.

Purpose of the Study:

  • To empower clinicians and healthcare professionals with implementation science knowledge and models.
  • To build confidence in applying implementation strategies for evidence-based practice (EBP) changes.
  • To improve healthcare quality, patient safety, and population health outcomes through facilitated EBP adoption.

Main Methods:

  • Introduction to the field of implementation science and its core principles.
  • Application of three distinct implementation science models to a clinical scenario.
  • Analysis of contextual factors, processes, strategies, and outcome evaluation for each model.

Main Results:

  • Implementation science knowledge aids clinicians in adopting high-quality evidence into practice.
  • Application-oriented models provide practical guidance for navigating EBP processes.
  • Partnerships between clinicians and implementation scientists accelerate evidence uptake.

Conclusions:

  • Implementation science is crucial for bridging the knowledge-to-action gap in healthcare.
  • Clinicians can leverage implementation science models to enhance patient care and outcomes.
  • Collaborative efforts between researchers and clinicians are vital for advancing implementation science and practice.