Social context and stakeholders' values in building diagnostic systems.

Area of Science:

• Psychiatry and Mental Health
• Philosophy of Science
• Public Policy Analysis

Background:

• Diagnostic classifications (DCs) for psychopathology are primarily scientific tools.
• Official DCs, such as the DSM and ICD manuals, possess significant regulatory and prescriptive functions.
• These functions effectively position DCs as de facto public policies.

Purpose of the Study:

• To analyze the dual nature of diagnostic classifications as both scientific endeavors and public policy instruments.
• To compare the core values inherent in scientific development with those essential for effective public policy.
• To identify areas of convergence and divergence between scientific and policy values for future DC development.

Main Methods:

• Philosophical analysis of diagnostic classification systems.
• Review of relevant scientific and policy literature.
• Comparative analysis of scientific and public policy values.

Main Results:

• Diagnostic classifications inherently carry regulatory and prescriptive weight, extending beyond pure science.
• Significant overlaps exist between the values underpinning robust scientific practice and sound public policy.
• Key areas for consideration in future DC development lie at the intersection of scientific validity and policy implications.

Conclusions:

• Future diagnostic classifications require a balanced approach, acknowledging both scientific integrity and public policy impact.
• Integrating stakeholder interests is crucial for developing DCs that are both scientifically sound and practically applicable as policy.
• The development of diagnostic classifications is an inherently interdisciplinary process involving science, ethics, and policy.