Affiliation:
1. Beck Institute for Cognitive Therapy and Research, Bala Cynwyd, PA
2. University of Medicine and Dentistry of New Jersey, School of Osteopathic Medicine
Abstract
The effectiveness of the Beck Anxiety (BAI-PC) and Depression (BDI-PC) Inventories for Primary Care for discriminating 56 primary care patients with and without revised, third edition Diagnostic and Statistical Manual of Mental Disorders ( DSM-III-R) diagnosed anxiety and mood disorders was studied. The Anxiety and Mood modules from the Primary Care Evaluation of Mental Disorders (PRIME-MD) were used to establish diagnoses. The coefficient alphas for the BAI-PC and BDI-PC were, respectively, .90 and .88. A BAI-PC cutoff score of 5 and above yielded the highest clinical efficiency (82%) with 85% sensitivity and 81% specificity for identifying patients with and without panic, generalized anxiety, or both disorders, whereas a BDI-PC cutoff score of 6 and above afforded the highest clinical efficiency (92%) with 83% sensitivity and 95% specificity for detecting patients with and without major depressive disorders. The use of these instruments to screen primary care patients before conducting extensive diagnostic evaluations with them was discussed.
Subject
Applied Psychology,Clinical Psychology
Cited by
131 articles.
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