Toward a cognitive-behavioral classification system for mental disorders.

Area of Science:

• Psychiatry
• Clinical Psychology
• Mental Health Classification

Background:

• Current diagnostic systems like the DSM-5 rely on arbitrary criteria for mental disorders, lacking validity and treatment guidance.
• The National Institute of Mental Health's Research Domain Criteria (RDoC) also assumes psychological issues stem from specific latent disease entities.
• Both DSM-5 and RDoC operate under a latent disease model, which may not fully capture the complexity of mental health conditions.

Purpose of the Study:

• To critique the latent disease model underlying current mental disorder classifications (DSM-5 and RDoC).
• To introduce and advocate for the complex causal network approach as a superior alternative.
• To highlight the cognitive behavioral model as a compatible and treatment-relevant framework.

Main Methods:

• Conceptual analysis and critique of existing classification systems (DSM-5, RDoC).
• Comparison of the latent disease model with the complex causal network approach.
• Examination of the cognitive behavioral model's alignment with the causal network framework.

Main Results:

• The DSM-5's diagnostic criteria are arbitrary, lack validity, and offer no treatment direction.
• The RDoC initiative shares the DSM-5's flawed assumption of latent disease entities.
• The complex causal network approach provides a more accurate representation of psychological problems as interacting elements.

Conclusions:

• The latent disease model underpinning DSM-5 and RDoC is fundamentally limited.
• A complex causal network approach offers a more valid and nuanced understanding of psychological problems.
• The cognitive behavioral model, aligned with the causal network approach, presents a treatment-focused alternative.