Adaptive Risk‐Adjusted Weighted CUSUM Chart for Monitoring Surgical Performance

ABSTRACT Detecting changes in surgical performance early is important to improve the quality of surgery. In recent years, numerous risk‐adjusted control charts have been applied to monitor surgical performance. The conventional risk‐adjusted cumulative sum (CUSUM) charts need to be preset with the out‐of‐control odds ratio, and the performance of the control charts can be significantly affected by the actual change level. To effectively monitor changes in surgical performance, this paper proposes a novel adaptive risk‐adjusted weighted cumulative sum (RA‐WCUSUM) chart for monitoring binary surgical outcomes, where a weighting function based on standardized residuals is applied to the log‐likelihood ratio statistic. The proposed method is compared with several competing charts through simulation, and the simulation results show the superiority of the proposed method. A cardiac surgery dataset is used to demonstrate the application of the proposed method.

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Publication Details

Journal
Quality and Reliability Engineering International
Published
2024-11-20
DOI
https://doi.org/10.1002/qre.3694
Citations
5
Primary Topic
Advanced Statistical Process Monitoring
Type
article
Field-Weighted Citation Impact
2.31

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article

Adaptive Risk‐Adjusted Weighted CUSUM Chart for Monitoring Surgical Performance

Longhui Li, Zhaona Pei, Zixian Liu, Yanfen Shang et al.
5 citations
Quality and Reliability Engineering International
Advanced Statistical Process Monitoring
2.31
article

Adaptive Risk‐Adjusted Weighted CUSUM Chart for Monitoring Surgical Performance

Longhui Li, Zhaona Pei, Zixian Liu, Yanfen Shang, Ning Gao
article en
5 citations

Abstract

ABSTRACT Detecting changes in surgical performance early is important to improve the quality of surgery. In recent years, numerous risk‐adjusted control charts have been applied to monitor surgical performance. The conventional risk‐adjusted cumulative sum (CUSUM) charts need to be preset with the out‐of‐control odds ratio, and the performance of the control charts can be significantly affected by the actual change level. To effectively monitor changes in surgical performance, this paper proposes a novel adaptive risk‐adjusted weighted cumulative sum (RA‐WCUSUM) chart for monitoring binary surgical outcomes, where a weighting function based on standardized residuals is applied to the log‐likelihood ratio statistic. The proposed method is compared with several competing charts through simulation, and the simulation results show the superiority of the proposed method. A cardiac surgery dataset is used to demonstrate the application of the proposed method.

Quality and Reliability Engineering InternationalVol. 41(2)
Tianjin University (CN), Tianjin University of Finance and Economics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Advanced Statistical Process Monitoring
2.31
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