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Case Study: An Application of Logistic Regression in a Six Sigma Project in Health Care

Summary: [This abstract is based on the authors' abstract.] An improvement project was undertaken to improve participation in a rehabilitation program by patients of the Virga Jesse Hospital's cardiology department. The probability that a patient joins the program is modeled as a function of a variety of factors based on a data set of 516 patients. An exploratory analysis of the data is followed by a formal logistic regression analysis. The logistic regression shows that the major influence factors are the distance from the patient's home to the hospital and whether or not the patient has a car. This analysis led to several measures to stimulate carpooling.

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  • Topics: Statistics
  • Keywords: Case study, Data analysis, DMAIC, Generalized additive model, Healthcare industry, Logistic model, Regression analysis
  • Author: van der Meulen, Frank; Vermaat, Thijs; Willems, Pieter;
  • Journal: Quality Engineering