New approach to diagnosing mental disorders

Image
ANI Washington D.C. [USA]
Last Updated : Mar 26 2017 | 11:32 AM IST

A consortium of psychiatrists and psychologists has proposed a new approach to diagnosing mental disorders.

The approach is a classification system of a wide range of psychiatric problems based on scientific evidence, illness symptoms and impaired functioning.

The diagnostic system addresses fundamental shortcomings of the fifth edition (2013) of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), the clinicians' and researchers' guidebook to mental illnesses.

The newly developed diagnostic approach is called the Hierarchical Taxonomy of Psychopathology (HiTOP). In the paper, the consortium from universities around the world, co-led by Stony Brook University, University of Minnesota and University of Notre Dame researchers, advances classification of psychopathology beyond the traditional diagnostic systems.

According to authors, substantial evidence has accumulated that suggest major changes to how mental illness is classified, but DSM-5 offered only modest refinements creating dissatisfaction in the research community. The National Institute of Mental Health (NIMH) produced an alternative model to guide mental health research efforts.

But this approach also has been controversial, as it focuses heavily on neurobiology and much less on investigating issues that are important for everyday psychiatric care, such as prognosis about illness course and selection of treatment.

As researcher Robert Krueger explained it, the DSM can be challenging to use in everyday practice. "It's Byzantine," he said. "It's like the U.S. tax code. You can get lost in the complexity of its contents and still not find a compelling or accurate way to conceptualize your patient."

"The HiTOP system has been articulated to address the limitations currently plaguing psychiatric diagnosis," said lead author Roman Kotov. "First, the system proposes to view mental disorders as spectra. Second, the HiTOP system uses empirical evidence to understand overlap among these disorders and classify different presentations of patients with a given disorder."

Overall, the authors emphasize that HiTOP adheres to the most up-to-date scientific evidence, rather than relying largely on decisions by committee (the approach used to construct the DSM-5). In the assessment of mental disorders, the HiTOP approach accounts for information on shared genetic vulnerabilities, environmental risk factors, and neurobiological abnormalities, such as differences in brain activity between the patients and healthy individuals.

The study is published in the Journal of Abnormal Psychology.

Disclaimer: No Business Standard Journalist was involved in creation of this content

*Subscribe to Business Standard digital and get complimentary access to The New York Times

Smart Quarterly

₹900

3 Months

₹300/Month

SAVE 25%

Smart Essential

₹2,700

1 Year

₹225/Month

SAVE 46%
*Complimentary New York Times access for the 2nd year will be given after 12 months

Super Saver

₹3,900

2 Years

₹162/Month

Subscribe

Renews automatically, cancel anytime

Here’s what’s included in our digital subscription plans

Exclusive premium stories online

  • Over 30 premium stories daily, handpicked by our editors

Complimentary Access to The New York Times

  • News, Games, Cooking, Audio, Wirecutter & The Athletic

Business Standard Epaper

  • Digital replica of our daily newspaper — with options to read, save, and share

Curated Newsletters

  • Insights on markets, finance, politics, tech, and more delivered to your inbox

Market Analysis & Investment Insights

  • In-depth market analysis & insights with access to The Smart Investor

Archives

  • Repository of articles and publications dating back to 1997

Ad-free Reading

  • Uninterrupted reading experience with no advertisements

Seamless Access Across All Devices

  • Access Business Standard across devices — mobile, tablet, or PC, via web or app

More From This Section

First Published: Mar 26 2017 | 10:48 AM IST

Next Story