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Bringing Regulatory-Style Benefit-Risk Assessment to the Bedside: A Structured Evidence Synthesis Methodology for
Sebastián Garcia-Zamora1, Fernanda Tavares Da-Silva2, Ivana Labudovic2
1Cardiology Department, Delta Clinic, Rosario, Argentina.
Journal of Evaluation in Clinical Practice
|August 13, 2026
Summary
This study proposes a new method for summarizing treatment benefits and harms to aid shared decision-making. It presents a framework to make trade-offs explicit, improving clinical conversations and patient value alignment.
Area of Science:
- Medical Evidence Synthesis
- Clinical Decision Science
- Value-Based Healthcare
Background:
- Current clinical summaries fragment efficacy and safety data, obscuring absolute effects and patient variability.
- Existing methods fail to integrate individual patient preferences into treatment evaluations.
- Point-of-care summaries lack transparency in benefit-risk assessments.
Purpose of the Study:
- To introduce a structured evidence synthesis method for clinician-facing summaries.
- To translate complex benefit-risk evaluation logic into a format supporting shared decision-making.
- To enhance the integration of patient values into clinical treatment choices.
Main Methods:
- Developed a seven-domain value structure based on benefit-risk assessment (BRAT, MCDA) and decision science.
- Created a workflow featuring an effects table presenting absolute benefits and harms per 1000 patients.
- Introduced Net Clinical Benefit (NCB) and Trade-off Index (TIX) summary metrics.
Main Results:
- Presented a novel framework for benefit-risk summary and compared it to existing approaches.
- Outlined a development pathway including standardization, pilot testing, and evaluation.
- Demonstrated a method to make multi-outcome trade-offs explicit and testable.
Conclusions:
- The proposed methodology connects benefit-risk evaluation with clinical dialogue by clarifying trade-offs.
- The framework facilitates bedside discussions, integrating patient priorities into treatment decisions.
- Further empirical research is needed to confirm improved alignment between treatment choices and patient values.
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