alexa The use of the Beck Depression Inventory to screen for depression in the general population: a preliminary analysis.


Rheumatology: Current Research

Author(s): Lasa L, AyusoMateos JL, VzquezBarquero JL, DezManrique FJ, Dowrick CF

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Abstract OBJECTIVE: The aim of the present paper is to study the performance of Beck's Depression Inventory (BDI) as a screening instrument for depressive disorders in a general population sample. METHODS: 1250 subjects, from 18 to 64 years old, were randomly selected from the Santander (Spain) municipal census. A two-stage method was used: in the first stage, all individuals selected completed the BDI; in the second, 'probable cases' (BDI cut-off>/=13) and a random 5\% sample of the total sample with a BDI score less than 13 were interviewed by psychiatrists using the Schedules for Clinical Assessment in Neuropsychiatry (SCAN), which generates diagnoses of depressive disorders. RESULTS: Our data confirm the predictive value of the selected cut-off point (12/13): 100\% sensitivity, 99\% specificity, 0. 72 PPV, 1 NPV, and 98\% overall diagnostic value. The area under ROC (AUC) was found to be 0.99. There were no statistical differences in terms of sex or age. We conclude that the BDI is a good instrument for screening depressive disorders in community surveys.
This article was published in J Affect Disord and referenced in Rheumatology: Current Research

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