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Initiating statistical process control to improve quality outcomes in colorectal surgery
Deborah S Keller1, Jonah J Stulberg2, Justin K Lawrence3
1Division of Colorectal Surgery, Department of Surgery, University Hospitals-Case Medical Center, Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106-5047, USA. debby_keller@hotmail.com.
Statistical process control (SPC) effectively identifies outliers in colorectal surgery length of stay (LOS), revealing patient and process factors linked to longer hospital stays and complications. This method shows promise for improving patient outcomes and resource management.
Area of Science:
- Colorectal Surgery
- Healthcare Quality Improvement
- Statistical Process Control
Background:
- Unexpected variations in postoperative length of stay (LOS) negatively impact hospital resources and patient outcomes.
- Statistical process control (SPC) is a methodology for monitoring performance and driving process improvement.
Purpose of the Study:
- To initiate SPC for identifying length of stay (LOS) outliers in colorectal surgery.
- To evaluate the feasibility of SPC in improving surgical outcomes.
Main Methods:
- A prospective database of colorectal procedures was reviewed.
- Patients were stratified by elective/emergent and open/laparoscopic approaches.
- SPC was applied to identify LOS outliers and analyze associated characteristics within each group.
Main Results:
- 1294 cases were analyzed; 83% elective, 17% emergent.
- LOS outliers ranged from 8.6% to 10.8% across surgical groups.
- Outliers exhibited higher ASA scores, longer operating times, ICU needs, and increased complication/readmission rates.
Conclusions:
- SPC is a feasible and promising tool for enhancing colorectal surgery outcomes.
- SPC effectively identified patient and process factors contributing to increased LOS.
- This methodology supports real-time outlier identification and outcome reevaluation for quality improvement.
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