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Expanding Hybrid Studies for Implementation Research: Intervention, Implementation Strategy, and Context.

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Summary
This summary is machine-generated.

This study expands hybrid effectiveness-implementation study designs to include context as a key variable. Understanding intervention, implementation strategy, and context interplay is crucial for real-world evidence application.

Keywords:
contexthybrid studiesimplementation scienceimplementation strategyintervention

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Area of Science:

  • Implementation Science
  • Health Services Research
  • Study Design Methodology

Background:

  • Hybrid effectiveness-implementation studies assess interventions and strategies, but context's role as an independent variable is often unclear.
  • Existing frameworks incompletely specify the interplay between intervention, implementation strategy, and context.
  • A more comprehensive typology is needed to advance implementation science.

Purpose of the Study:

  • To expand the hybrid typology for effectiveness-implementation studies to incorporate intervention, implementation strategy, and context as independent variables.
  • To propose a notation system (I, IS, C) for classifying hybrid study types.
  • To detail specific two- and three-variable hybrid study designs.

Main Methods:

  • Conceptual framework development building upon existing typologies (e.g., Curran et al.).
  • Proposal of a systematic notation for primary and secondary independent variables.
  • Detailed description of four two-variable hybrid types (I/is, IS/c, IS-C, C/is) and seven three-variable types.

Main Results:

  • An expanded framework specifying nine two-variable and seven three-variable hybrid study types.
  • A proposed notation system using 'I' for intervention, 'IS' for implementation strategy, and 'C' for context.
  • Identification of existing studies that fit the proposed definitions.

Conclusions:

  • The proposed expanded typology offers a more complete specification of hybrid study designs.
  • Incorporating context as a key independent variable is essential for advancing implementation science.
  • Future research should measure context's impact on implementation to bridge the evidence-practice gap.