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Functioning and validity of a Computerized Adaptive Test to measure anxiety (A-CAT)
Janine Becker1, Herbert Fliege, Rüya-Daniela Kocalevent
1Department of Psychosomatic Medicine and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany. janine.becker@charite.de
Depression and Anxiety
|November 4, 2008
Summary
The Computerized Adaptive Test to measure anxiety (A-CAT) is an efficient, reliable, and valid tool for assessing anxiety. It provides precise scores quickly, making it useful for initial assessments and monitoring treatment progress.
Area of Science:
- Psychiatry
- Psychosomatic Medicine
- Psychotherapy
Background:
- Anxiety disorders represent a significant public health concern.
- Accurate and efficient assessment tools are crucial for diagnosis and treatment monitoring.
- Patient-reported outcome measures enhance clinical decision-making.
Purpose of the Study:
- To evaluate the Computerized Adaptive Test to measure anxiety (A-CAT) as a patient-reported outcome questionnaire.
- To assess the efficiency, reliability, and validity of the A-CAT in a clinical setting.
Main Methods:
- The A-CAT utilizes an item bank developed with item response theory.
- Administered to 357 patients using Personal Digital Assistants.
- Validated against established anxiety and depression questionnaires in subgroups.
Main Results:
- A-CAT completion time averaged 2 minutes and 38 seconds.
- Reliable scores (reliability >.9) were achieved with 4-41 items.
- Demonstrated strong convergent validity (r=.56-.66) and superior discriminant validity compared to other measures.
Conclusions:
- The German A-CAT is an efficient, reliable, and valid tool for anxiety assessment.
- It shows potential for initial assessment and long-term treatment monitoring.
- Future research should focus on item selection algorithms, normative data, and cutoff scores.
