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Computerized adaptive testing for assessing substance use and substance use disorder: A systematic review.
Cassandra L Boness1, Felicia R Tuchman2, John Sweat3
1Department of Psychology, University of New Mexico, United States of America; Center on Alcohol, Substance use, And Addictions, University of New Mexico, United States of America.
Computerized Adaptive Tests (CATs) for substance use disorder (SUD) show promise but require more rigorous validation. This review highlights the need for improved methodology and diverse samples in CAT development for better accuracy and implementation.
Area of Science:
- Psychometrics
- Clinical Psychology
- Substance Use Research
Background:
- Computerized Adaptive Tests (CATs) offer precise and efficient assessment of constructs.
- While CATs exist for substance use and substance use disorder (SUD), their systematic evaluation is lacking.
Purpose of the Study:
- To systematically review the literature on CATs for substance use and SUD.
- To determine the scope, strengths, and weaknesses of existing CAT development and validation studies.
Main Methods:
- A pre-registered systematic review of 7 databases and reference lists was conducted.
- 15 eligible records representing 11 CATs for substance use or SUD were identified and analyzed.
- Data extracted included study characteristics, CAT methodology, psychometric outcomes, and study quality.
Main Results:
- Eleven CATs assessed various substance use constructs (e.g., craving, use) for different substances (e.g., alcohol, cannabis) and goals (e.g., screening, diagnosis).
- Significant heterogeneity was observed in CAT methodological choices.
- Psychometric properties of the CATs were minimally evaluated in the original studies.
Conclusions:
- Future CAT research should focus on robust measurement of substance use and SUD in initial item pools.
- Inclusion of diverse samples and rigorous validity testing are crucial for advancing CAT development.
- Greater attention to implementation considerations is needed for effective real-world application of these assessments.
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