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

@article{Benneyan1998StatisticalQC,
  title={Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part I Introduction and Basic Theory},
  author={James C. Benneyan},
  journal={Infection Control \&\#x0026; Hospital Epidemiology},
  year={1998},
  volume={19},
  pages={194 - 214}
}
  • J. Benneyan
  • Published 1 March 1998
  • Business
  • 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… 
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170 Citations
Highly Influential Citations
5
Background Citations
38
Methods Citations
32

170 Citations

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

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Practical risk-adjusted quality control charts for infection control.

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Statistical process control geometric Q-chart for nosocomial infection surveillance.

Recent research in statistics has developed modern statistical process control methods that can be used effectively with or without prior data, making possible much more effective nosocomial infection surveillance programs that will give timely warnings of the onsets of epidemics or evidence of the effectiveness of infection control initiatives.

Design , Use , and Performance of Statistical Control Charts for Clinical Process Improvement

An overview of SPC charts, the different types and uses of control charts, when to use each chart type, their statistical performance, and simple methods for determining appropriate sample sizes is provided.

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  • J. Benneyan
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    International journal for quality in health care : journal of the International Society for Quality in Health Care
  • 1998
This article provides a brief introduction to the use of statistical quality control charts for analyzing, monitoring, and improving health care processes.

A Statistical Process Control Case Study

The SPC technique is reviewed and a tool and data are presented so readers can construct SPC charts so that the readers will collect their own data and apply the same technique to improve processes in their own organization.

[Use of statistical process control charts in the epidemiological surveillance of nosocomial infections].

The use of SPC charts for controlling endemic levels of NI, through both global and site-specific evaluation, allowed for the identification of uncommon variations in NI rates, such as outbreaks and epidemics, and for their distinction from the natural variations observed in NI occurrence rates, without the need for calculations and hypothesis testing.

The design, selection, and performance of statistical control charts for healthcare process improvement

Although the value of Statistical Process Control (SPC) charts to monitor and improve healthcare processes has received growing interest, several important implementation and theoretical issues are…

A Statistical Approach to Reduce Hospital-Associated Infections

A methodology to model the transmission of infections in a pediatric intensive care unit (ICU) and to evaluate the effectiveness of interventions aimed at reducing their incidence is presented and integrates simulation and risk analysis techniques with SPC methodologies.

Surveillance Analysis and Monitoring of Multidrug-Resistant Bacteria Incidence in an Intensive Care Unit: The Role of Cumulative Sum Control Charts

Analysis with the cumulative sum control chart is useful in providing warning signals of multidrug-resistant bacteria epidemics in the intensive care unit for adults at the University Hospital of Brasilia, Brazil.
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164 References

The use of statistical process control charts in hospital epidemiology.

  • J. Sellick
  • Medicine
    Infection control and hospital epidemiology
  • 1993
The basic theory and simple application of SPC in hospital epidemiology is described, which will describe the use of statistical methods to describe the variation in processes, known as statistical process control (SPC).

The Use of Statistical Process Control Charts in Hospital Epidemiology

  • J. Sellick
  • Medicine
    Infection Control & Hospital Epidemiology
  • 1993
The basic theory and simple application of SPC in hospital epidemiology is described, which will describe the use of statistical methods to describe the variation in processes, known as statistical process control (SPC).

The Affinity Between Continuous Quality Improvement and Epidemic Surveillance

The expanding role of hospital epidemiology is enhanced by applying CQI concepts to improving health care by demonstrating the close affinity between the continuous quality improvement (CQI) concept of monitoring a process for the introduction of special causes and epidemic surveillance.

Analysis of Hospital Infection Surveillance Data

This approach provides a simple and timely alternative to intuitive after-the-fact interpretation of infection patterns which is applicable to infection surveillance and cost-effective infection control in hospitals of all sizes.

Applicability of industrial sampling techniques to epidemiologic investigations: examination of an underutilized resource.

  • W. Reinke
  • Business
    American journal of epidemiology
  • 1991
Lot quality assurance sampling, developed more than 60 years ago to meet industrial quality control needs, has been found to serve public health purposes as well and several more dynamic process monitoring methods for continuous surveillance are described.

Analysis of Infection Control Surveillance Data in a Long-Term–Care Facility: Use of Threshold Testing

  • J. Mylotte
  • Medicine
    Infection Control & Hospital Epidemiology
  • 1996
Threshold testing for analysis of infection control sur veillance data in the LTCF setting is straightfor ward and does not require knowledge of statistics, special computer software, or calculation of rates; given the stable population in the typical LTCf, threshold testing can be based on variations in the monthly count of infections and provides an objective evaluation of surveillance data and a method to identify when outbreaks may be occurring.

Nosocomial Infection Surveillance Programs

This policy is designed to provide the medical and nursing staff with meaningful data on the level of nosocomial infection in their work areas and to meet the requirements of the Joint Commission on Accreditation and the medical-legal guidelines.

Statistical Process Control: A Practical Application for Hospitals

  • Loretta M. VanderVeen
  • Business
    Journal for healthcare quality : official publication of the National Association for Healthcare Quality
  • 1992
The QI project succeeded in overcoming beginners' fear of statistics and in training both managers and staff to use inspection checklists, Pareto charts, cause‐and‐effect diagrams, and control charts.

Control of Legionella pneumophila in Hospital Hot-Water Supply

An introduction to using statistical process control (SPC) within health care, and pitfalls and barriers to improving quality and reducing liability.

Statistical Process Control Charts

  • James T. Lee
  • Medicine
    Infection Control & Hospital Epidemiology
  • 1994
To the Editor: Statistical process control (SPC) is possibly the most enticing gadget in the industrial quality control toolbox but it is a common misconception that SPC is hampered for processes whose inherent variation is other than normal.
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