Determining a diagnostic cut-off on the Teate Depression Inventory

Area of Science:

• Psychiatry
• Psychometrics
• Clinical Psychology

Background:

• The Teate Depression Inventory (TDI) is proposed as an objective depression measure.
• Existing literature indicates TDI possesses strong psychometric properties in diverse samples.

Purpose of the Study:

• To establish specific cut-off scores for the TDI.
• To differentiate varying levels of depression severity in diagnosed patients.

Main Methods:

• Utilized receiver operating characteristic (ROC) curve analyses.
• Analyzed data from 125 clinically diagnosed depression disorder patients.

Main Results:

• Identified TDI cut-off scores: 21 (minimal), 36 (mild/moderate), and 50 (severe).
• Achieved high sensitivity, specificity, and classification accuracy for all identified cut-offs.
• Demonstrated high test accuracy across a broad depression severity range.

Conclusions:

• The TDI effectively measures depression severity.
• The identified cut-off scores support TDI's utility in screening for depression.
• TDI shows potential for objective depression assessment.