A chart-based method for identification of delirium: validation compared with interviewer ratings using the confusion...

Area of Science:

• Geriatric Medicine
• Clinical Informatics
• Psychiatry

Background:

• Delirium is a common and serious condition in hospitalized older adults.
• Accurate identification of delirium is crucial for timely intervention and improved patient outcomes.
• Current methods for delirium identification may have limitations in routine clinical practice.

Purpose of the Study:

• To validate a novel chart-based instrument for identifying delirium in hospitalized older patients.
• To compare the performance of this chart-based method against direct assessment using the Confusion Assessment Method (CAM).

Main Methods:

• A prospective validation study was conducted in a teaching hospital.
• Nine hundred nineteen older hospitalized patients were included.
• A chart-based instrument was developed and validated against the CAM, with trained abstractors blinded to interview data.

Main Results:

• Delirium was identified in 12.5% of patients via CAM.
• The chart-based instrument demonstrated 74% sensitivity and 83% specificity.
• Factors like dementia and severe illness impacted the accuracy of chart-based identification.

Conclusions:

• A validated chart-based instrument for delirium detection is useful for patient safety and quality improvement initiatives.
• The instrument is not recommended for individual patient care due to potential misclassification.
• Further research may refine chart-based methods for enhanced diagnostic accuracy.