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Statistical process control geometric Q-chart for nosocomial infection surveillance
1QUE Technologies, Inc, Raleigh, NC 27609-5614, USA.
American Journal of Infection Control
|August 5, 2000
Summary
Modern statistical process control methods enhance nosocomial infection surveillance. These advanced techniques offer effective early warnings of infection outbreaks, even without extensive historical data, improving patient safety.
Area of Science:
- Healthcare Management
- Biostatistics
- Epidemiology
Background:
- Statistical process control (SPC) charting methods are proposed for nosocomial infection surveillance.
- The primary goal is to detect increases from endemic to epidemic rates promptly.
- Classical SPC methods often require substantial historical data, which may not be available.
Purpose of the Study:
- To inform readers about modern SPC methods applicable to infection surveillance.
- To demonstrate the effectiveness of these methods with or without prior historical data.
- To highlight improved nosocomial infection surveillance programs.
Main Methods:
- Review of recent statistical research in process control.
- Application of modern SPC methods to infection surveillance scenarios.
- Demonstration of SPC charting without reliance on extensive historical data.
Main Results:
- Modern SPC methods can be used effectively with or without historical data.
- These methods enable more effective nosocomial infection surveillance.
- Timely warnings of epidemic onsets and evidence of control initiative effectiveness are provided.
Conclusions:
- Modern SPC methods offer significant advantages for nosocomial infection surveillance.
- Early detection of outbreaks and assessment of interventions are enhanced.
- Improved surveillance leads to earlier corrective actions and reduced liability.