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Comparing surgeon perception to publicly reported data using NSQIP.
Carl Edge1, Jonathan Widmeyer2, Hailey Hampton2
1Department of Orthopaedic Surgery, Virginia Commonwealth University Health System, Richmond, VA, 23219, USA.
Journal of Orthopaedics
|July 14, 2023
Summary
Surgeons often underestimate their individual postoperative complication rates, such as morbidity and readmission. However, they are more accurate when comparing their outcomes to departmental averages.
Area of Science:
- Surgical Quality Improvement
- Patient Outcomes Research
- Medical Education
Background:
- Surgeons' self-assessment of postoperative complication rates may be inaccurate.
- The American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database provides validated metrics for surgical quality.
- Understanding this discrepancy is crucial for improving surgical care standards.
Purpose of the Study:
- To compare surgeons' perceived postoperative complication rates with objective data from the NSQIP database.
- To investigate whether surgeons accurately estimate their individual rates of morbidity, readmission, and reoperation.
- To assess surgeons' accuracy in estimating complication rates relative to their peers.
Main Methods:
- Surveys collected data on perceived rates of morbidity, readmission, and reoperation.
- Respondents compared their rates to their peers and institutional NSQIP data.
- Data from a large level one trauma center was analyzed.
Main Results:
- A significant majority of surgeons underestimated their individual rates: 87.5% for morbidity, 35.4% for readmission, and 22.9% for reoperation.
- Surgeons demonstrated higher accuracy when estimating rates relative to their department: 57.78% for morbidity, 75.56% for readmission, and 86.67% for reoperation.
- These findings highlight a notable gap between perceived and actual individual surgical outcomes.
Conclusions:
- Surgeons are generally poor predictors of their own 30-day postoperative complication rates.
- Self-assessment accuracy improves when surgeons compare their performance to departmental averages.
- This suggests a need for enhanced feedback mechanisms and potentially improved surgical education on outcome prediction.
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