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Context in Implementation Science.

Heather C Kaplan1,2,3, Kathleen E Walsh4,5

  • 1Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio.

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|March 1, 2022
PubMed
Summary
This summary is machine-generated.

This guide helps researchers and frontline practitioners address context in quality improvement (QI) and implementation initiatives. Understanding context is crucial for successful healthcare interventions and disseminating findings across diverse settings.

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Area of Science:

  • Implementation Science
  • Healthcare Quality Improvement
  • Health Services Research

Background:

  • Improving healthcare quality through changes in delivery systems and care processes is complex.
  • Intervention effectiveness depends on implementation strategies and the specific context.
  • Multisite quality improvement (QI) efforts often show significant variation in outcomes.

Purpose of the Study:

  • To provide a step-by-step guide for addressing context in QI and implementation interventions.
  • To assist researchers and frontline practitioners in planning, implementing, and disseminating interventions.

Main Methods:

  • Review and in-depth discussion of over 60 dissemination and implementation frameworks that incorporate context.
  • Presentation of a structured approach for addressing context in QI and implementation initiatives.
  • Illustrative application of the proposed approach using a published study example.

Main Results:

  • Identified a need for a systematic approach to integrate context into QI and implementation science.
  • Demonstrated the practical application of an approach to address context in real-world settings.
  • Highlighted the importance of context-specific data for understanding intervention success.

Conclusions:

  • Addressing context is essential for the successful planning, implementation, and dissemination of QI interventions.
  • Further research is needed, including multisite prospective studies, to understand context's influence on intervention spread.
  • Collecting segmented/stratified data is crucial for understanding how context impacts subgroup implementation.