How reliable are mental health diagnostic interviews?
Mental health interview diagnoses can vary in reliability
A new study challenges the assumption that diagnostic interviews are uniformly reliable. Diagnostic interviews—often treated as the “gold standard” for diagnosing mental health and substance use conditions—show reliability that can differ depending on the specific condition, the interview approach, and how results are interpreted.
That matters because diagnostic labels influence nearly everything that follows: treatment decisions, eligibility for services, access to insurance coverage, and the way outcomes are measured in research. If two clinicians are using the same general interview method but reliability varies by condition, patients may be more or less likely to receive consistent diagnoses across settings.
The findings also suggest that clinicians and health systems should not treat diagnostic interviews as one-size-fits-all evidence. More attention may be needed on:
- Which interview tools are used for which conditions
- How clinicians are trained to administer and score interviews
- Whether reliability estimates should be considered when selecting diagnostic pathways
In practical terms, the study points toward a more conditional view of diagnostic interviews—valuable, but not equally dependable for every diagnosis. For patients, that could translate into a stronger need for careful follow-up when symptoms are complex or when an initial diagnosis is uncertain.
For public health and researchers, inconsistent diagnostic reliability can also complicate estimates of prevalence and the effectiveness of interventions, because outcomes depend on who is categorized as having a condition.
Overall, the work underscores that reliability is not automatically guaranteed by using an established interview format; it varies across conditions, and that variability needs to be accounted for when diagnosing and studying mental health and substance use disorders.