Grading quality of evidence and strength of recommendations
Градация качества доказательств и силы рекомендаций
2004-06-17
SCID: 54.1/dwjx3xk4
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benefit-harm balanceclinical practice guidelinesgrading quality of evidenceresource utilisationstrength of recommendations
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Abstract (AI)
Users of clinical practice guidelines and other recommendations need to know how much confidence they can place in the recommendations. Systematic and explicit methods of making judgments can reduce errors and improve communication. We have developed a system for grading the quality of evidence and the strength of recommendations that can be applied across a wide range of interventions and contexts. In this article we present a summary of our approach from the perspective of a guideline user. Judgments about the strength of a recommendation require consideration of the balance between benefits and harms, the quality of the evidence, translation of the evidence into specific circumstances, and the certainty of the baseline risk. It is also important to consider costs (resource utilisation) before making a recommendation. Inconsistencies among systems for grading the quality of evidence and the strength of recommendations reduce their potential to facilitate critical appraisal and improve communication of these judgments. Our system for guiding these complex judgments balances the need for simplicity with the need for full and transparent consideration of all important issues.
Key Findings
1
A systematic, explicit grading system for quality of evidence and strength of recommendations was developed for broad applicability across interventions and contexts.
2
Costs (resource utilization) must be considered as an important factor when making recommendations.
3
Existing inconsistencies among grading systems hinder critical appraisal and communication, motivating the need for a unified transparent system.
4
Strength of a recommendation should be based on balance of benefits versus harms, evidence quality, applicability to specific circumstances, and certainty of baseline risk.
5
The proposed system aims to balance simplicity with comprehensive, transparent consideration of all important judgment factors.
Research Object
System for grading the quality of evidence and the strength of recommendations for clinical practice guidelines
Research Subject
How to make and communicate judgments about quality of evidence and strength of recommendations, including consideration of benefits versus harms, evidence quality, applicability to specific circumstances, baseline risk certainty, and costs
Publication Details
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2004-06-17
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