Overview of the CAT-MH™
Robert D. Gibbons, PhD, Blum-Riese Professor of Biostatistics at the University of Chicago, provides insight on the unique statistical concepts that drive the CAT-MH™ and K-CAT™.
Professor Robert D. Gibbons, PhD, provides a demonstration of the CAT-MH™.
UCLA Depression Grand Challenge Worldwide uses CAT-MH™
Depression is a global health crisis, afflicting 350 million people worldwide. UCLA and dozens of collaborators have a solution to offer sustainable state-of the-art treatment to all—using smartphones and the internet, our team offers an integrated treatment and technology solution to diagnose, treat and continuously monitor individuals with depression from underserved populations. The Depression Grand Challenge Worldwide (DGCW) team will deploy this strategy working with partners at sites in five countries—the United States, China, Colombia, South Africa and Uganda. In doing so, the DGCW will create a network of treatment teams and investigators empowered to enhance health and productivity not only within their own communities, but also in communities around the world.
Researchers at UCLA are Leveraging the CAT-MH™ as an Important Tool in their Fight Against Depression
Fox News reports on UCLA launching an ambitious new program to cure depression. Using a mobile interface form of CAT-MH™, researchers hope to identify the genetic, cognitive, and environmental factors associated with depression by surveying 100,000 volunteers. These volunteers will be encouraged to participate over a long period of time to better understand the root causes of depression. UCLA’s approach marks the first time there has been a campus-wide effort to eradicate a disease.
Researchers at UCLA leverage the CAT-MH™ to help identify students at risk of depression and also trains student coaches who can help and understand what those struggling are going through.