Psychometric evaluation of the Beck Depression Inventory-II with primary care medical patients.

Abstract

This study evaluated the psychometric characteristics of the Beck Depression Inventory-II (BDI-II; A. T. Beck, R. A. Steer, & G. K. Brown, 1996) in a primary care medical setting. A principal-components analysis with Promax rotation indicated the presence of 2 correlated factors, Somatic-Affective and Cognitive, which explained 53.5% of the variance. A hierarchical, second-order analysis indicated that all items tap into a second-order construct of depression. Evidence for convergent validity was provided by predicted relationships with subscales from the Short-Form General Health Survey (SF-20; A. L. Stewart, R. D. Hayes, & J. E. Ware, 1988). A receiver operating characteristic analysis demonstrated criterion-related validity: BDI-II scores predicted a diagnosis of major depressive disorder (MDD), as determined by the Primary Care Evaluation of Mental Disorders (PRIME-MD) Patient Health Questionnaire (PHQ). This study demonstrated that the BDI-II yields reliable, internally consistent, and valid scores in a primary care medical setting, suggesting that use of the BDI-II in this setting may improve detection and treatment of depression in these medical patients.