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New Evidence-Based Diagnostic System Sees Shades of Gray

New Evidence-Based Diagnostic System Sees Shades of Gray

A group of psychologists and psychiatrists have put forth a new evidence-based alternative to the mental health field’s long-established diagnostic categories, which one of the researchers said has significant limitations.

The new approach, a Hierarchical Taxonomy of Psychopathology (HiTOP), addresses what the authors say are limitations to the reliability and validity of traditional models like the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). The DSM-5 is the American Psychiatric Association’s (APA) authoritative handbook currently used by clinicians and researchers to diagnose and treat mental disorders.

“HiTOP is the first attempt by any group of individuals to put forth a classification and diagnostic system that has the features we’ve described,” said Dr. Leonard Simms, an associate professor in University of Buffalo’s Department of Psychology and one of the 40 researchers who worked on the study with team leaders Drs. Roman Kotov of Stony Brook University, Robert Krueger of University of Minnesota, and David Watson of University of Notre Dame.

Simms, an expert in the description and classification of mental disorders, said the potentially paradigm-shifting model could advance research efforts and improve clinical outcomes related to the causes and treatments of mental disorders.

HiTOP’s guiding spirit is correcting the shortcomings of DSM-5 and other similar classification schemes, like the World Health Organization’s International Classification of Diseases (ICD), by changing the way mental disorders are classified and diagnosed.

HiTOP uses a diagnostic approach that is dimensional and hierarchical. Traditional systems, like DSM-5, are categorical.

Categorical systems associate each disorder with a set of symptoms. Clinicians make a diagnosis of a disorder only when patients present an established minimum number of those symptoms.

For instance, major depressive disorder is associated with nine symptoms. At least five of those symptoms must be present for a patient to receive a diagnosis of major depressive disorder.

“That’s an arbitrary classification,” says Simms. “Somebody with four symptoms of depression could be experiencing as much if not more impairment than someone who meets the five criteria. Yet five gets the diagnosis and four does not. You see this throughout DSM-5.”

“I use a word like ‘arbitrary’ because in many cases the threshold in the diagnostic manual is usually half the number of symptoms. There is no evidence brought to bear on that threshold.”

Forcing people into categories means losing critical information because of distinctions between symptoms and impairment.

“That distinction creates a false negative,” said Simms. “A patient can have one symptom of depression and still be impaired.”

By eliminating arbitrary boundaries that separate either having a disorder or not having a disorder, researchers and clinicians can make more meaningful decisions.

Simms says statistical analysis shows that shades of gray, or dimensions, are more meaningful than categories.

“There are a variety of statistical techniques that have been in use over the last 25 years that allow us to determine whether underlying symptoms are better described as a categorical or dimensional phenomenon, with the vast majority of that evidence favoring a dimensional approach to psychiatric classification,” he said.

HiTOP’s hierarchical component is based on analysis of symptom similarities. Any group of symptoms might be very close to others.

“There are various ways to talk about depression or anxiety,” Simms said. “Statistics provide researchers with evidence-based ways of combining those symptoms or not. DSM-5 has more disorders than we need. It’s not always clear how one disorder differs from another.”

The core issue for the authors is that traditional systems have been shaped by considerations other than empirical evidence.

“A lot of this is inertia,” said Simms. “We’ve had categories for mental disorders for decades, and that inertia has been an impediment to making changes in the way we think about the mental disorders.”

It comes down to a system characterized by past practice, he said.

“Imagine a physician saying, ‘the research says we should do an MRI on your knee, but my training was in the 1970s, so we’re going to take an X-ray and that’s going to have to be good enough.’ The same thing applies here. Many current clinicians are not being influenced by the evidence.”

Simms said a system like HiTOP that’s based on solid evidence is an advance all by itself.

“A diagnostic system that places people into these messy categories that aren’t necessarily distinct from one another creates a lot of noise in the research world,” he says. “We can make further advances in research into the causes and treatments of these disorders if we have an evidence-based system with known patterns of correlation among these symptoms.

“If we have a system that’s cleaned up this way, not only would the research be stronger in terms of the causes and treatments of these disorders, but it presumably would lean toward better connections with different treatment modules that would be useful clinically.”

The HiTOP classification system remains a work in progress, but several parts of the model are ready for clinical and research applications, according to Simms.

Source: University of Buffalo

New Evidence-Based Diagnostic System Sees Shades of Gray

Rick Nauert PhD

Rick Nauert, PhDDr. Rick Nauert has over 25 years experience in clinical, administrative and academic healthcare. He is currently an associate professor for Rocky Mountain University of Health Professionals doctoral program in health promotion and wellness. Dr. Nauert began his career as a clinical physical therapist and served as a regional manager for a publicly traded multidisciplinary rehabilitation agency for 12 years. He has masters degrees in health-fitness management and healthcare administration and a doctoral degree from The University of Texas at Austin focused on health care informatics, health administration, health education and health policy. His research efforts included the area of telehealth with a specialty in disease management.

APA Reference
Nauert PhD, R. (2018). New Evidence-Based Diagnostic System Sees Shades of Gray. Psych Central. Retrieved on December 4, 2020, from
Scientifically Reviewed
Last updated: 8 Aug 2018 (Originally: 27 Mar 2017)
Last reviewed: By a member of our scientific advisory board on 8 Aug 2018
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