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Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging

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Validation of the co-occurring disorder quadrant model.

Michael G McDonell¹, Amanda H Kerbrat, Katherine Anne Comtois

¹Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Box 359911, Harborview Medical Center, 325 Ninth Ave, Seattle, WA 98104-2499, USA. mikemcd@u.washington.edu

Journal of Psychoactive Drugs

|October 16, 2012

Summary

The co-occurring disorders quadrant model effectively categorizes individuals with mental health and substance use issues. This model demonstrates validity and stability for clinical and administrative use.

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Area of Science:

Psychiatry
Addiction Medicine
Clinical Psychology

Background:

The co-occurring disorders quadrant model addresses heterogeneity in patients with co-occurring substance use and psychiatric disorders.
Clinical utility requires validation and stability assessment of such models.

Purpose of the Study:

To investigate the validity and stability of the co-occurring disorders quadrant model.
To assess the model's utility using routine clinical and administrative data.

Main Methods:

155 adults presenting with psychiatric, substance use, or medical complaints were assessed.
Quadrant placement utilized substance dependence diagnoses and Global Assessment of Functioning scores.
Concurrent and predictive validity were assessed using diagnoses, symptom severity, toxicology, and health utilization data.

Main Results:

54% of participants fell into Quadrant IV (high-severity psychiatric/substance use).
Quadrant placement correlated with diagnoses, symptom severity, toxicology, and health utilization, supporting concurrent validity.
Initial placement predicted outcomes at 3-month follow-up, and placement was stable over time.

Conclusions:

The co-occurring disorders quadrant model is valid and stable for characterizing patients.
The model's data supports its application in clinical and administrative settings.
This framework aids in understanding and managing complex patient populations.