New Issue: Orbital Catastrophe Ahead? Read Now

Replacing Hamilton

Join Our Community of Science Lovers!

The most popular method for monitoring depression is significantly flawed and needs replacement. So says R. Michael Bagby, clinical research director at the University of Toronto's Center for Addiction and Mental Health. Although the Hamilton Depression Rating Scale, developed in 1960, has long been a “gold standard” in psychiatric evaluation, Bagby says its shortcomings are well noted.

Bagby was the lead researcher of a metastudy that analyzed 70 independent research papers on the Hamilton scale's efficacy published since the last major review in 1979. The study was funded in part by Eli Lilly and the Ontario Mental Health Foundation.

Bagby says one of the scale's greatest problems is poor sensitivity to changes in a depressed individual's condition. This shortcoming makes it difficult to accurately monitor whether a patient is improving or declining and also confuses the approval of new antidepressant drugs, because the scale is a benchmark in judging their efficacy during clinical trials. Furthermore, the symptoms inventoried on the HAMD, as the scale is known, are simply out of step with modern research.


On supporting science journalism

If you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.


Although other scales have been introduced, none has achieved as widespread use as the Hamilton. In 1999 a cross-disciplinary team developed a revised version called the GRID-HAMD, but Bagby and his colleagues say that the entire concept needs to be retired.

Kenneth Evans, director of medical and scientific services at Axon Communications and a key developer of the GRID-HAMD, acknowledges that the metastudy's claims are valid. He is currently chair of the Depression Inventory Development Team, a collaborative effort among clinical researchers and representatives from 14 pharmaceutical companies that seeks to develop a new screening tool. Initial versions are currently being tested for efficacy.

Subscribe to Support Independent Journalism

Great science journalism requires human expertise, time, effort and creativity. And it costs money. That’s why I and the journalists here at Scientific American hope you’ll join our community.

When you subscribe, you are supporting staff and freelance journalists who are passionate about telling science stories that are true, important and compelling. Our editors and reporters are often experts in their fields, which means they understand the nuances of big discoveries and can untangle the breakthroughs from the hype. With a subscription, you are also supporting rigorous fact-checking to ensure the words we publish are precise and accurate. And you’re supporting original illustrations, graphics and photos that bring you closer to an advanced laboratory, an ice sheet in Antarctica or a space mission in orbit. You’re helping us craft other types of high-quality journalism as well: Our newsletters are carefully written, edited and curated by staffers you have or will come to know and love. Our Science Quickly podcast is based on original reporting, collaboration with editors and scientists and exacting production.

Subscriptions keep this engine running so we can continue to deliver thoughtful, rigorous and independent science journalism to you. In an era of viral misinformation, this work is crucial. If you value what we do, I hope you’ll consider joining us as a subscriber

Thank you,

Jeanna Bryner, Editor in Chief, Scientific American

Subscribe