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Monitoring surgical performance using risk-adjusted cumulative sum charts
S H Steiner1, R J Cook, V T Farewell
1Department of Statistics and Actuarial Sciences, University of Waterloo, Ontario, Canada. shsteine@uwaterloo.ca
Biostatistics (Oxford, England)
|August 23, 2003
Summary
This study introduces an improved cumulative sum (CUSUM) procedure for surgical quality monitoring. The enhanced method accurately detects changes in surgical performance by adjusting for patient pre-operative risk factors.
Area of Science:
- Medical Statistics
- Health Services Research
- Surgical Quality Improvement
Background:
- The cumulative sum (CUSUM) procedure is a standard graphical tool for quality monitoring.
- CUSUM charts are increasingly used to monitor surgical outcomes and detect changes in failure rates.
- A key limitation of standard CUSUM is its susceptibility to confounding by changes in patient case-mix, such as an increase in high-risk patients.
Purpose of the Study:
- To develop and describe a novel CUSUM procedure that accounts for pre-operative patient risk.
- To provide a more accurate method for detecting true changes in surgical performance, independent of referral patterns.
- To enhance the reliability of CUSUM charts in clinical settings with variable patient populations.
Main Methods:
- A new CUSUM procedure was developed using a likelihood-based scoring method.
- The method incorporates individual patient pre-operative risk assessment into the CUSUM calculation.
- The adjusted CUSUM procedure is designed to differentiate between changes in surgical performance and changes in patient risk.
Main Results:
- The proposed CUSUM procedure effectively adjusts for patient pre-operative risk of surgical failure.
- This adjustment allows for more precise identification of shifts in actual surgical performance.
- The method is robust to variations in patient case-mix over time.
Conclusions:
- The risk-adjusted CUSUM procedure offers a significant improvement for monitoring surgical quality.
- It provides a more reliable signal of changes in surgical performance in diverse patient populations.
- This methodology is particularly valuable for healthcare settings experiencing fluctuating patient risk profiles.