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Published on: February 13, 2021
Inclusion of Performance Parameters and Patient Context in the Clinical Practice Guidelines for Heart Failure
Parag Goyal1, Ozan Unlu1, Peter J Kennel1
1Department of Medicine, Weill Cornell Medicine, New York, New York.
Insights
Clinical practice guidelines for heart failure often omit crucial performance data and patient context. Enhancing these guidelines is vital for improving evidence-based medicine and patient-centered care.
Area of Science:
- Cardiology
- Clinical Practice Guidelines
- Evidence-Based Medicine
Background:
- Evidence-based medicine (EBM) requires individual-level data for effective clinical decision-making.
- Clinical practice guidelines (CPGs) should ideally incorporate performance parameters and patient context to facilitate EBM.
Purpose of the Study:
- To assess the extent to which current heart failure CPGs include diagnostic and therapeutic performance parameters.
- To evaluate the incorporation of patient context in heart failure CPGs.
Main Methods:
- Review of key heart failure CPGs: ACCF/AHA 2013, ACCF/AHA/HFSA 2017 update, and ESC 2016.
- Abstraction of data on quality of evidence, strength of recommendation, performance parameters, and patient context for each CPG recommendation.
Main Results:
- Performance parameters for diagnostic studies were rarely included (0-13%).
- Performance parameters for therapeutic interventions were variably included (16-65%).
- Patient context was included in approximately 25-50% of recommendations.
Conclusions:
- Most heart failure CPGs lack essential performance parameters and patient context information.
- Optimizing CPGs with comprehensive data is crucial for implementing EBM in heterogeneous heart failure populations.
- Innovative strategies are needed to enhance CPGs for improved population outcomes and patient-centered care.
Background:
To facilitate evidence-based medicine (EBM) on an individual level, it may be important for clinical practice guidelines (CPGs) to incorporate the performance parameters of diagnostic studies and therapeutic interventions (such as likelihood ratio and absolute benefit or harm), and to incorporate relevant patient contexts that may influence decision-making. We sought to determine the extent to which heart failure CPGs currently incorporate this information.
Methods:
We reviewed the American College of Cardiology Foundation/American Heart Association (ACCF/AHA) 2013 Heart Failure CPG, the 2017 ACCF/AHA/HFSA update, and European Society of Cardiology (ESC) 2016 Heart Failure CPG. We abstracted variables for each CPG recommendation from the following domains: quality of evidence, strength of recommendation, diagnostic and therapeutic performance parameters, and patient context.
Results:
We examined 169 recommendations from the ACCF/AHA 2013 CPGs and 2017 update and 187 recommendations from the 2016 ESC CPGs. Performance parameters for diagnostic studies (2013 ACCF/AHA: 13%; 2017 ACCF/AHA/HFSA update: 0%; 2016 ESC: 0%) and therapeutic interventions (2013 ACCF/AHA: 65%; 2017 ACCF/AHA/HFSA update: 64%; 2016 ESC: 16%) were not commonly included in CPGs. Patient context was included in about half of ACCF/AHA recommendations and a quarter of ESC recommendations.
Conclusions:
The majority of recommendations from heart failure CPGs lack information on diagnostic and therapeutic performance parameters and patient context. Given the importance of these components to effectively implement EBM, particularly for a heterogeneous heart failure population, innovative strategies are needed to optimize CPGs so they provide comprehensive yet succinct recommendations that can improve population-level outcomes and ensure optimal patient-centered care.
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