Alcohol Withdrawal Assessment Tool: Validity and Reliability Testing in Acute Care

Area of Science:

• Clinical Nursing
• Psychometric Validation
• Acute Care Medicine

Background:

• Alcohol withdrawal syndrome (AWS) is a common and potentially severe condition in acute care settings.
• Accurate and timely assessment of AWS is crucial for effective patient management and preventing complications.

Purpose of the Study:

• To validate the Alcohol Withdrawal Assessment Tool (AWAT) for use in acute care patients.
• To establish the content validity, criterion-related validity, interrater reliability, and nurse usability of the AWAT.

Main Methods:

• A psychometric validation study was conducted.
• Content validity was assessed by an expert panel.
• Criterion-related validity was examined using the Clinical Institute Withdrawal Assessment for Alcohol-Revised (CIWA-Ar) as a benchmark.
• Interrater reliability was tested by two independent investigators.
• Nurse usability was evaluated via a Likert scale survey.

Main Results:

• The AWAT demonstrated a content validity index of 1.0.
• Interrater reliability showed a κ statistic range of 0.61 to 0.6957.
• Criterion-related validity was supported by a Pearson r correlation of 0.665 (P < .000).
• All participating nurses agreed or strongly agreed on the tool's usability.

Conclusions:

• The Alcohol Withdrawal Assessment Tool is a psychometrically sound instrument for use in acute care.
• The tool is user-friendly and can enhance the frequency of AWS assessments and guide pharmacologic treatment.
• The AWAT offers a potentially effective alternative for managing alcohol withdrawal in acute care settings.