Mind the gap between natural phenomena and human constructs in psychiatric diagnostic frameworks

Area of Science:

• Psychiatry and Mental Health
• Philosophy of Science
• Medical Classification

Background:

• Psychiatric diagnosis is debated between realism (biologically grounded) and nominalism (human-defined categories).
• The Diagnostic and Statistical Manual of Mental Disorders (DSM) has evolved but lacks robust biological markers.
• Current categorical systems (e.g., DSM-5) exhibit high heterogeneity, comorbidity, and blurred diagnostic boundaries.

Purpose of the Study:

• To explore the tension between realism and nominalism in psychiatric diagnosis.
• To identify limitations of current categorical diagnostic systems.
• To propose a more adaptable, patient-centered model for psychiatric classification.

Main Methods:

• Literature review and conceptual analysis of diagnostic paradigms.
• Examination of complementary perspectives: phenomenological psychopathology, network analysis, and pragmatic approaches.
• Synthesis of diverse viewpoints to propose an integrated model.

Main Results:

• Robust biological markers for psychiatric disorders remain elusive despite diagnostic evolution.
• Categorical diagnoses in the DSM-5 contribute to significant heterogeneity and comorbidity.
• Phenomenological, network, and pragmatic approaches offer valuable insights for improving diagnostic models.

Conclusions:

• A purely categorical approach to psychiatric diagnosis faces inherent limitations.
• Integrating patient lived experience, network models, and pragmatic clinical utility can create a more nuanced diagnostic framework.
• This integrated model aims to bridge the gap between objective phenomena and subjective categorization in mental health.