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Applying Computerized Adaptive Testing to the Four-Dimensional Symptom Questionnaire (4DSQ): A Simulation Study.
Tessa Magnée1, Derek P de Beurs1, Berend Terluin2
1Netherlands Institute for Health Services Research (NIVEL), Utrecht, Netherlands.
JMIR Mental Health
|February 23, 2017
Summary
Computerized adaptive testing (CAT) can significantly improve the efficiency of the Four-Dimensional Symptom Questionnaire (4DSQ) by reducing its length by 56%. This makes the 4DSQ a more practical tool for assessing psychosocial problems in general practice.
Area of Science:
- Psychometrics
- Health Informatics
- General Practice Research
Background:
- Efficient screening questionnaires are crucial in general practice settings.
- Computerized adaptive testing (CAT) enhances questionnaire efficiency by dynamically selecting informative items for each respondent.
Purpose of the Study:
- To evaluate the potential of CAT to improve the efficiency of the Four-Dimensional Symptom Questionnaire (4DSQ).
- The 4DSQ is a widely used self-report measure for common psychosocial issues in primary care.
Main Methods:
- A simulation study was conducted with 379 Dutch patients presenting with psychological issues.
- Item response theory (IRT) assumptions were evaluated for the 50-item 4DSQ. CAT simulations were performed on the 4DSQ scales (distress, depression, anxiety, somatization) using two stopping rules.
Main Results:
- The 4DSQ items generally adhered to IRT assumptions.
- Applying the first stopping rule reduced the questionnaire length by 38% (average 31 items).
- Incorporating the second stopping rule further reduced the length by 56% (average 22 items).
Conclusions:
- CAT can enhance 4DSQ efficiency by 56% with minimal loss of measurement precision.
- A CAT version of the 4DSQ could be valuable for online assessments of mental health in primary care.
- Further research should compare real-time CAT results with full-scale administration.
