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Priority measures for implementation: an ESC pilot linking guidelines to practice.

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|December 2, 2025
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Summary
This summary is machine-generated.

This study introduces a new framework to prioritize cardiovascular interventions by combining clinical effectiveness (Number Needed to Treat) and implementation complexity. It aids resource-limited settings in adopting guideline-based therapies.

Keywords:
Clinical guideline implementationEvaluation of complexity of guidelinesEvaluation of impact of clinical guidelinesHealthcare policyHeart failureMethodology

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Area of Science:

  • Cardiology
  • Health Economics
  • Health Services Research

Background:

  • European Society of Cardiology (ESC) guidelines focus on treatment efficacy but lack economic and implementation feasibility assessments.
  • Decision-making in resource-limited settings requires integrating cost and complexity with clinical benefit.
  • Current guidelines do not systematically address practical implementation challenges.

Purpose of the Study:

  • To propose a novel framework for prioritizing cardiovascular interventions by integrating clinical effectiveness and implementation complexity.
  • To provide a structured tool for policymakers and healthcare planners in resource-constrained environments.
  • To bridge the gap between guideline recommendations and practical healthcare implementation.

Main Methods:

  • Developed a framework using Number Needed to Treat (NNT) at five years for clinical effectiveness.
  • Incorporated a qualitative assessment of implementation complexity using a Delphi process.
  • Utilized a three-dimensional grid visualizing NNT, complexity, and disease prevalence.
  • Case study: 2021/23 ESC heart failure guidelines (Class of Recommendation I, Level of Evidence A).

Main Results:

  • The framework integrates clinical impact (NNT) with implementation factors (cost, infrastructure, access).
  • Pilot application to heart failure therapies demonstrated a structured approach to comparing interventions.
  • The NNT was calculated for mortality and hospitalization endpoints.
  • Implementation complexity was assessed considering various practical factors.

Conclusions:

  • The proposed framework offers a standardized method to evaluate intervention feasibility and support guideline implementation.
  • It is particularly relevant for resource-constrained and high-cost healthcare systems.
  • Further validation and local tailoring of complexity assessments are needed.
  • The framework aids informed decision-making for equitable adoption of evidence-based cardiovascular therapies.