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From protocol to practice: Enhancing fidelity, supporting adaptation, and advancing science.

Claire Regan1

  • 1NewCourtland Center for Transitions and Health, University of Pennsylvania, Philadelphia, PA, United States.

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|December 19, 2025
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Balancing intervention fidelity and adaptation is key for successful evidence-based interventions (EBIs). Measuring and reporting these elements improves implementation and scalability across diverse settings.

Keywords:
adaptationevidence translationfidelityimplementation fidelityimplementation researchmodification

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Area of Science:

  • Implementation Science
  • Health Services Research

Background:

  • Translating evidence-based interventions (EBIs) into practice requires balancing fidelity (delivering as intended) with adaptation to local contexts.
  • Rigid adherence to EBIs can compromise effectiveness, while excessive adaptation may dilute intended outcomes.

Purpose of the Study:

  • To explore the significance and challenges of measuring and reporting intervention fidelity and adaptation.
  • To highlight the impact of fidelity and adaptation on the success and scalability of EBIs.

Main Methods:

  • Utilized implementation science frameworks and the Transitional Care Model (TCM) as a case study.
  • Focused on the dynamic interplay between intervention fidelity, adaptation, and contextual factors.
  • Emphasized practical tool development, bidirectional learning, and setting fidelity standards for intervention protocols.

Main Results:

  • Fidelity and adaptation are critical, yet often challenging to measure and report effectively.
  • Contextual factors significantly influence the balance between fidelity and adaptation.
  • Practical tools and clear standards are needed to guide implementation.

Conclusions:

  • Recommendations include enhancing training, standardizing reporting practices, and fostering collaboration.
  • Improved approaches will support equitable and effective implementation of EBIs in varied settings.
  • Addressing fidelity and adaptation is crucial for maximizing the impact of health interventions.