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Abstract

To ascertain how effective the Beck Depression Inventory for Primary Care (BDI-PC) was for differentiating medical inpatients who were and were not diagnosed with DSM-IV major depression disorders (MDD), this 7-item self-report instrument composed of cognitive and affective symptoms was administered to 50 medical inpatients along with the Depression subscale (HDS) from the Hospital Anxiety and Depression Scale (Zigmond & Snaith, 1983, Acta Psychiatrica Scandinavica, 67, 361–370). The Mood Module from the Primary Care Evaluation of Mental Disorders (Spitzer et al., 1995, Prime-MD instruction manual updated for DSM-IV) was used to diagnose MDD. The internal consistency of the BDI-PC was high (α = 0.86), and it was moderately correlated with the HDS (r = 0.62, P < 0.001). The BDI-PC was not significantly correlated with sex, age, ethnicity, or type of medical diagnosis. A BDI-PC cut-off score of 4 and above yielded the maximum clinical efficiency with both 82% sensitivity and specificity rates. The clinical utility of the BDI-PC for identifying medical inpatients who should be evaluated for MDD is discussed.