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Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part II: Chart Use, Statistical Properties, and Research Issues

Published online by Cambridge University Press:  02 January 2015

David Birnbaum  and
James C. Benneyan
David Birnbaum
Affiliation:
Northeastern University, Boston, Massachusetts
James C. Benneyan*
Affiliation:
Northeastern University, Boston, Massachusetts
*
Mechanical, Industrial, and Manufacturing Department, 334 Snell Engineering Center, Northeastern University, Boston, MA 02115
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Abstract

This is the second in a two-part series discussing and illustrating the application of statistical process control (SPC) in hospital epidemiology. The basic philosophical and theoretical foundations of statistical quality control and their relation to epidemiology are emphasized in order to expand the mutual understanding and cross-fertilization between these two disciplines. Part I provided an overview of the philosophy and general approach of SPC, illustrated common types of control charts, and provided references for further information or statistical formulae. Part II now discusses alternate possible SPC approaches, statistical properties of control charts, chart-design issues and optimal control limit widths, some common misunderstandings, and more advanced issues. The focus of both articles is mostly nonmathematical, emphasizing important concepts and practical examples rather than academic theory and exhaustive calculations.

Type
Statistics for Hospital Epidemiology
Information
Infection Control & Hospital Epidemiology , Volume 19 , Issue 4 , April 1998 , pp. 265 - 283
Copyright
Copyright © The Society for Healthcare Epidemiology of America 1998

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