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A new VLAD‐based control chart for detecting surgical outcomes
Author(s) -
Yue Jin,
Lai Xin,
Liu Liu,
Lai Paul B. S.
Publication year - 2017
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.7362
Subject(s) - chart , control chart , control limits , computer science , odds , statistics , limit (mathematics) , quality (philosophy) , statistical process control , logistic regression , control (management) , odds ratio , shewhart individuals control chart , medicine , data mining , ewma chart , mathematics , process (computing) , artificial intelligence , mathematical analysis , philosophy , epistemology , operating system
The timely detection of surgical quality changes is becoming increasingly important. Variable life‐adjusted display (VLAD) has a wide range of applications in the medical field. However, the control limits of VLAD are not defined; thus, the charts alone cannot reveal whether surgical quality underwent a significant change. This paper proposes a new risk‐adjusted exponentially weighted moving average VLAD (RAEV) chart and provides a control limit that can be used with the VLAD. The RAEV chart is designed to detect shifts in the odds ratios of patients' surgical risk. Simulation is used to demonstrate that the proposed RAEV chart efficiently detects shifts of various magnitudes, and an example is provided to illustrate the implementation of the RAEV control limits in a VLAD chart. Copyright © 2017 John Wiley & Sons, Ltd.