🧠 Operator Bias
Operator bias refers to systematic differences in outcomes that arise due to variations in the skill, experience, decision-making, or preferences of the individual performing a procedure or intervention.
⚠️ Key Characteristics
- Outcomes influenced by who performs the procedure, not just what is done
- Particularly relevant in surgical and interventional studies
- Often unacknowledged in retrospective analyses
- Can confound comparisons between techniques or centers
🧪 Example in Neurosurgery
- A high-volume vascular neurosurgeon may achieve better outcomes with clipping than general neurosurgeons, skewing results in favor of surgery when comparing to endovascular treatment performed by less experienced interventionalists.
📉 Why It Matters
- Distorts the apparent efficacy or safety of a procedure
- Makes multicenter or multitechnique comparisons unreliable
- Introduces hidden bias in non-randomized studies
✅ Best Practice
- Report operator volume and experience
- Perform stratified or sensitivity analyses by operator
- Acknowledge as a potential confounder in observational studies