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. 2014 Jun 3:10:987-95.
doi: 10.2147/NDT.S55706. eCollection 2014.

Determining a diagnostic cut-off on the Teate Depression Inventory

Michela Balsamo  1 , Aristide Saggino  1
Affiliations

Determining a diagnostic cut-off on the Teate Depression Inventory

Michela Balsamo et al. Neuropsychiatr Dis Treat. .

Abstract

A small but growing body of literature suggests that the Teate Depression Inventory (TDI) may be an "objective" measure of depression compared with other commonly used scales. Furthermore, the TDI has strong psychometric properties in both clinical and nonclinical samples. The present study aimed to extend the use of TDI by identifying cut-off scores that could differentiate varying levels of depression severity in a group of clinically diagnosed depression disorder patients (N=125). Three receiver operating characteristic curve analyses indicated cut-off scores of 21 (sensitivity =0.86, specificity =0.94, and classification accuracy =0.90); 36 (sensitivity =0.84, specificity =0.96, and classification accuracy =0.92); and 50 (sensitivity =0.81, specificity =0.93, and classification accuracy =0.90), for minimal, mild, moderate, and severe depression, respectively. Results suggest that the TDI measures depression severity across a broad range with high test accuracy and may be appropriately used to screen for depression.

Keywords: ROC curve; Rasch analysis; depression screening; major depression; self-report scales.

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Figures

Figure 1
Figure 1
Receiver operating characteristic (ROC) curves for the Teate Depression Inventory (TDI) (red curve). Notes: The chance line is the green line. The closer the curve is to the upper left hand corner of the graph, the better the diagnostic performance of the TDI. ROC curves were constructed by comparing the nondepressed group versus the mildly depressed group (A); the nondepressed and mildly depressed groups versus the moderately depressed group (B); and the nondepressed, mildly depressed, and moderately depressed groups versus the severely depressed group (C).
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