The New York City Research and Improvement Networking Group (NYC RING)

Using a Computer Adaptive Test to Identify Depressive Disorders in Primary Care

This Study is a randomized clinical trial which will introduce the Mental Health Computer Adaptive Test into primary care settings and evaluate the impact of the tool for case recognition and clinical decision making.

Participating Practices
Participating Practices
Montefiore Medical Group sites in Bronx, NY: Williamsbridge Family Practice
Health Center at Tremont

Principal Investigator
Arthur Blank, PhD

Project Timeline
Launch: January 2011
Data Collection: Beginning February 2011
Current though December 2011

Study Overview
This study will employ a recently built Computer Adaptive Test based on the Item Response Theory to assess the mental health status of patients in community based health care settings. Reports from the Mental Health Computer Adaptive Test (MH-CAT) will instantly show the severity of depressive symptoms, self reported treatment and adherence. The objectives of this study are to establish an adaptive algorithm for the MH-CAT to identify depressive disorders with high sensitivity and specificity, demonstrate its feasibility as a routine screening instrument in clinical practice, and assess its impact for case recognition and clinical decision making. Two large health centers of the NYC RING located in underserved communities in the Bronx will introduce the MH-CAT into their routine care. Within a randomized cross-over study the screening success and impact on clinical decision making of patients using MH-CAT will be compared to the Patient Health Questionnaire (PHQ-9) and the Beck Depression Inventory (BDI).

Contact information:
Program Coordinator: Giselle Campos, giselle.campos@einstein.yu.edu
Research Assistants: Nally Calzado, Kelsey Hoidal, Matt Wingo

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