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Phase I risk-adjusted control charts for surgical data with ordinal outcomes

Author

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  • Ramezan Khosravi
  • Mohammad Saleh Owlia
  • Mohammad Saber Fallahnezhad
  • Amirhossein Amiri

Abstract

In recent years, risk-adjusted control charts that account for the preoperative risk of patients have been widely used for monitoring of surgical outcomes. Generally, risk-adjusted control charts have been developed on the basis of a binary classification of surgical outcomes. However, for a patient who survives an operation, it is reasonable to consider different grades of recovery in an ordinal manner. On the other hand, Phase I monitoring of risk-adjusted control charts has been neglected. Hence, in this paper, a general Phase I risk-adjusted control chart is proposed to monitor ordinal outcomes of surgical outcomes. The proposed risk-adjusted model is developed on the basis of proportional odds logistic regression models. The application of the proposed model is illustrated by analyzing the data in a case study and its performance is evaluated using a Monte Carlo simulation study.

Suggested Citation

  • Ramezan Khosravi & Mohammad Saleh Owlia & Mohammad Saber Fallahnezhad & Amirhossein Amiri, 2018. "Phase I risk-adjusted control charts for surgical data with ordinal outcomes," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(18), pages 4422-4432, September.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:18:p:4422-4432
    DOI: 10.1080/03610926.2017.1376085
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    Cited by:

    1. Athanasios Sachlas & Sotirios Bersimis & Stelios Psarakis, 2019. "Risk-Adjusted Control Charts: Theory, Methods, and Applications in Health," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(3), pages 630-658, December.

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