Performance of risk-adjusted cumulative sum charts when some assumptions are not met

Monitoring health care performance outcomes such as post-operative mortality rates has recently become more common, spurring new statistical methodologies designed for this purpose. One such methodology is the Risk-adjusted Cumulative Sum chart (RA-CUSUM) for monitoring binary outcomes such as morta...

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Bibliographic Details
Published in:Communications in statistics. Simulation and computation 2017-02, Vol.46 (2), p.823-830
Main Authors: Hussein, A., Kasem, A., Nkurunziza, S., Campostrini, S.
Format: Article
Language:English
Subjects:
Buildings
Computation
Computer simulation
Control charts
Correlated binary series
Cumulative sum charts
CUSUM charts
Health care
Logistic regression
Monitoring
Monitoring adverse events
Mortality
Risk-adjustment
Statistical process control
Surgery
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Summary:Monitoring health care performance outcomes such as post-operative mortality rates has recently become more common, spurring new statistical methodologies designed for this purpose. One such methodology is the Risk-adjusted Cumulative Sum chart (RA-CUSUM) for monitoring binary outcomes such as mortality after cardiac surgery. When building RA-CUSUMs, independence and model correctness are assumed. We carry out a simulation study to examine the effect of violating these two assumptions on the chart's performance.
ISSN:0361-0918
1532-4141
DOI:10.1080/03610918.2014.964805