News & Events

7 December 2017

A team of clinical scientists delve into the complexities of three systems used for understanding mental-health disorders

Diagnosing mental-health issues may seem straightforward: Patients discuss their symptoms and a clinician matches those symptoms to a disorder and devises an appropriate treatment. In reality, this view belies the complexity inherent in understanding, classifying, and diagnosing psychiatric phenomena. Advances in clinical science over the past several decades have led to major improvements in how mental disorder is diagnosed and treated—millions of individuals now have access to robust, evidence-based interventions. But as science reveals more about the origins and development of mental disorder, it also raises more questions.

A team of clinical scientists delves into these complexities in a comprehensive new report, taking an in-depth look at three systems used for understanding mental-health disorders: the International Classification of Diseases (ICD), the Diagnostic and Statistical Manual of Mental Disorders (DSM), and the Research Domain Criteria Project (RDoC).

The report, authored by researchers Lee Anna Clark, Bruce Cuthbert, Roberto Lewis-Fernández, William E. Narrow, and Geoffrey M. Reed, is published in Psychological Science in the Public Interest, a journal of the Association for Psychological Science. It is accompanied by a commentary from Paul S. Appelbaum. READ MORE.