What Level of Certainty is Sufficient for Medical Decision-Making?
There is no single percentage of certainty that is universally sufficient for medical decision-making, as the threshold varies based on the clinical context, with high-stakes decisions often requiring greater certainty (>90%) while lower-risk scenarios may accept 70-80% certainty.
Understanding Certainty in Medical Evidence
The concept of certainty in medical decision-making is complex and multifaceted. Medical guidelines use structured approaches like the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework to evaluate certainty of evidence on a spectrum from "very low" to "high" 1.
GRADE Framework for Certainty Assessment
The GRADE approach categorizes certainty of evidence as:
- High certainty: Very confident that the true effect lies close to the estimate
- Moderate certainty: Moderately confident in the effect estimate
- Low certainty: Limited confidence in the effect estimate
- Very low certainty: Very little confidence in the effect estimate
This framework helps clinicians understand how much confidence they should place in research findings when making decisions 2.
Factors Affecting Required Certainty Thresholds
Several factors influence what level of certainty is considered sufficient:
1. Clinical Context and Risk Assessment
- Life-threatening situations: Lower certainty thresholds (perhaps 60-70%) may be acceptable when immediate action is required 3
- Preventive care: Higher certainty (>90%) may be preferred for interventions in healthy individuals
- Chronic disease management: Moderate certainty (75-85%) may be sufficient for ongoing care decisions
2. Potential Benefits vs. Harms
The Toronto Consensus Guidelines for Ulcerative Colitis demonstrate how certainty affects recommendations:
- Strong recommendations against fecal microbial transplant despite only low-quality evidence due to insufficient data on benefits 4
- Strong recommendations against probiotics based on very low-quality evidence when risks outweigh potential benefits 4
3. Patient Values and Preferences
The American Society of Hematology guidelines for VTE treatment note:
- "The panel considered the existence of an important variability in how individual patients may value the risk of recurrent VTE vs the risk of bleeding" 4
- This highlights how patient preferences affect what certainty threshold is appropriate
Practical Application of Certainty Thresholds
In Diagnostic Decision-Making
The Symptom Evaluation in Reflux Disease workshop found:
- In secondary care settings, predominant heartburn predicts GORD with approximately 80% certainty 4
- In primary care, this certainty drops below 70% 4
- This demonstrates how certainty thresholds must be adjusted based on clinical setting
In Treatment Decision-Making
The AGA guidelines for obesity pharmacotherapy illustrate how certainty affects treatment recommendations:
- High certainty evidence (>90% confidence) supports strong recommendations for semaglutide 2.4mg 4
- Moderate certainty evidence (70-85% confidence) leads to conditional recommendations for other medications 4
When Strong Recommendations Come from Low Certainty Evidence
A cross-sectional analysis found that 63.6% of strong recommendations in national guidelines were based on low or very low certainty evidence 3. This occurs in specific situations:
- When potential benefit is large and harm is minimal
- In life-threatening situations requiring immediate action
- When potential catastrophic harm must be avoided
- When high-quality evidence is unlikely to be generated
- When cost considerations are paramount
Communicating Certainty in Clinical Practice
When discussing certainty with patients:
- Avoid dichotomizing confidence intervals into simply "significant" or "non-significant" 5
- Present absolute risk differences rather than relative risks when possible
- Use consistent terminology to reduce ambiguity in clinical communication 6
Conclusion
The appropriate level of certainty for medical decision-making varies by context. While high-stakes decisions may require >90% certainty, other scenarios may accept 70-80% certainty. The key is transparency about the level of certainty and incorporating this understanding into a shared decision-making process with patients.