Phase-I Risk-Adjusted Geometric Control Charts to Monitor Health-care Systems

Fatemeh Mohammadian · Seyed Taghi Akhavan Niaki · Amirhossein Amiri

21 citations0/0 files storedQuality and Reliability Engineering International

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Advanced Statistical Process Monitoring Healthcare Quality and Management Fault Detection and Control Systems

Abstract

Because of the importance of health-care processes to people life, researchers attempted to reduce death rates using risk-adjusted control charts. In this paper, the number of patients survived at least 30 days after a surgery is monitored using a novel risk-adjusted geometric control chart. In this chart, the patient risk is modeled using a logistic regression. The new scheme is proposed to be used in Phase-I where a likelihood ratio test derived from a change-point model is employed. The application of the proposed chart is demonstrated in a case study. Furthermore, through simulation studies, it is shown that the proposed control chart is more effective in terms of power than the chart with a binary random variable. Copyright © 2014 John Wiley & Sons, Ltd.

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2006The Use of Control Charts in Health-Care and Public-Health Surveillance 2000Monitoring surgical performance using risk-adjusted cumulative sum charts 2004An Overview of Risk-Adjusted Charts 2008A risk‐adjusted CUSUM in continuous time based on the Cox model 2009Risk‐adjusted monitoring of survival times 2007A Simple Risk-Adjusted Exponentially Weighted Moving Average 1978A Survillance System for Congenital Malformations 2012Phase I Risk-Adjusted Control Charts for Monitoring Surgical Performance by Considering Categorical Covariates

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