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Computerized Adaptive Tests for Mental Health (CAT-MH) Implementation Research Team


Computerized Adaptive Tests for Mental Health (CAT-MH) Implementation Research Team

 Partnership Activities:

WVU-ICRC assembled a research team to evaluate state-of-the-art, computerized mental health screening/diagnostic instruments in WV emergency departments (EDs). The team includes representatives from WVU’s School of Public Health, Emergency Department, and Chestnut Ridge Behavioral Health Center; the Charleston Area Medical Center; and the West Virginia School of Osteopathic Medicine. Headed by a health economist, the team developed a successful proposal for a pilot grant from the WVU ICRC Exploratory Research Program. The Computerized Adaptive Tests for Mental Health (CAT-MH) were developed by a University of Chicago team led by Dr. Robert Gibbons. The WV pilot study will assess the implementation and associated costs of the CAD-MDD (computerized adaptive diagnostic tool-major depressive disorder) in three EDs in West Virginia, starting with the WVU ED in northern WV (Phase 1), and expanding to the Charleston Area and the Greenbrier Valley Medical Center EDs in southern WV (Phase 2).


Public Health Impact of Partnership:

Risk of suicide related to unrecognized/untreated depression, is a serious public health problem throughout the US, and particularly in WV, where rates of suicide are above the national average. A recently developed tool—the computerized adaptive diagnostic screening tool for major depressive disorder (CAD-MDD)—has remarkably high sensitivity (0.95) and specificity (0.87) rates for predicting a diagnosis of MDD compared to other current. By supplementing the CAD-MDD with four screening questions from the Columbia-Suicide Severity Rating Scale, the tool will readily identify those patients with suicidal thoughts, intent, plans, and behaviors. There is a critical need for the CAD-MDD to be translated for use in high-risk populations of West Virginia. At the completion of this study, we expect to have a better understanding of the costs and benefits of operationalizing the CAD-MDD.


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