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Surgeon Workload in Colorectal Surgery: Perceived Drivers of Procedural Difficulty
Katherine E Law1, Bethany R Lowndes2, Scott R Kelley3
1Mayo Clinic, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota; Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
The Journal of Surgical Research
|August 12, 2019
Summary
Surgeon expectation significantly impacts perceived workload in colorectal surgery. Factors like patient anatomy and team dynamics influence case difficulty, affecting surgeon experience.
Area of Science:
- Surgical workload assessment
- Patient safety and surgical outcomes
- Human factors in surgery
Background:
- Surgeon expectation of case difficulty is a key factor influencing perceived workload.
- Understanding these perceptions is crucial for improving surgical efficiency and safety in colon and rectal procedures.
Purpose of the Study:
- To investigate the relationship between surgeon expectation of difficulty and workload in colorectal surgery.
- To identify surgeon-perceived factors contributing to surgical case difficulty.
Main Methods:
- A modified NASA-Task Load Index (NASA-TLX) questionnaire was administered to surgeons post-operatively.
- Surgeons rated workload components and expectation of case difficulty (more, as, or less than expected).
- Qualitative data on perceived drivers of case difficulty were collected and analyzed alongside patient and procedural data.
Main Results:
- Mean workload was highest for effort and mental demand.
- Procedural difficulty varied significantly by procedure type.
- Thirty-five percent of cases were perceived as more difficult than expected, with workload differing significantly based on expectation level.
Conclusions:
- Surgeon expectation significantly influences perceived workload in colorectal surgery.
- Patient anatomy, body habitus, and operative team characteristics were frequently cited as drivers of case difficulty.
- Addressing these factors may help mitigate unexpected challenges and optimize surgical performance.
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