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Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part I Introduction and Basic Theory

Benneyan, James C.·1998·Infection Control & Hospital Epidemiology

Abstract

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

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Metadata

Authors
Benneyan, J. C.
Venue
Infection Control & Hospital Epidemiology
Published
1998-03
Volume
19
Issue
3
Pages
194-214
ISSN
  • 0899-823X (ISSN-L)
  • 1559-6834
OpenAlex
W2165241396
Cited by
166
References
0
FWCI
9.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part I Introduction and Basic Theory. https://app.cochat.ai/papers/10.1086/647795
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Benneyan, J. C. (1998). Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part I Introduction and Basic Theory. Infection Control & Hospital Epidemiology. https://doi.org/10.1086/647795

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.