Monitoring intensive care unit performance using statistical quality control charts

Area of Science:

• Critical Care Medicine
• Biostatistics
• Healthcare Quality Improvement

Background:

• Monitoring Intensive Care Unit (ICU) patient outcomes is crucial for assessing healthcare quality.
• Historical data on patient severity and mortality are essential for trend analysis.
• Statistical quality control methods offer potential for long-term process monitoring.

Purpose of the Study:

• To evaluate changes in patient severity of illness and mortality rates in an ICU over a five-year period.
• To determine if the ICU process remained stable and in statistical control during the study duration.
• To assess the utility of statistical quality control charts for long-term ICU outcome monitoring.

Main Methods:

• Utilized statistical quality control charts to monitor data over a five-year period (1986-1990).
• Tracked APACHE II severity of illness scores and mortality rates for Intensive Care Unit (ICU) patients.
• Analyzed trends at ten days and six months post-ICU admission.

Main Results:

• The Intensive Care Unit (ICU) process was found to be stable and in statistical control.
• No significant trends were observed in APACHE II severity of illness scores over the five-year period.
• Mortality rates at ten days and six months post-ICU admission showed no significant changes.

Conclusions:

• Statistical quality control charts are effective for monitoring Intensive Care Unit (ICU) processes over extended periods.
• The ICU process demonstrated stability, indicating consistent quality of care regarding patient severity and mortality.
• Quality control charting provides a simple yet powerful method for long-term healthcare outcome surveillance.