How accurate are diagnostic interviews for mental health?

Key finding: reliability varies by condition

New research challenges the idea that diagnostic interviews are universally dependable. The work found that diagnostic interviews—often treated as a “gold standard” approach—show different levels of reliability depending on the disorder being diagnosed.

Why it matters for substance use and mental health

Diagnostic interviews are commonly used in clinical and research settings to determine whether symptoms meet criteria for specific conditions, including disorders related to substance use. If reliability varies, two people with the same symptoms could potentially be classified differently depending on which diagnostic framework is being used and how consistently criteria are applied.

Practical implications

The report’s bottom line is not that interviews are useless, but that clinicians and researchers should treat diagnostic interview results as condition-dependent rather than perfectly consistent across diagnoses.

In real-world practice, this can affect:

• how diagnoses are recorded and compared over time
• eligibility for studies or treatments that depend on precise diagnostic categories
• measurement of trends in mental health prevalence

What’s still unclear

The coverage does not provide details on exactly how much reliability differs for each condition or what specific methodological changes would most improve consistency.

Overall, the news highlights a measurement problem that can ripple outward: if the diagnostic tool itself can vary in reliability by condition, then downstream decisions—clinical, administrative, and research—may also need careful interpretation.