Determining a diagnostic cut-off on the Teate Depression Inventory

Michela Balsamo, Aristide SagginoDepartment of Psychological Sciences, Humanities and Territory, G. d’Annunzio University of Chieti-Pescara, Chieti, ItalyAbstract: A small but growing body of literature suggests that the Teate Depression Inventory (TDI) may be an “objec...

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Autores principales:	Balsamo M, Saggino A
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2014
Materias:	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/2a09c5e89dfb4e23af4eba053b13a57e
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spelling	oai:doaj.org-article:2a09c5e89dfb4e23af4eba053b13a57e2021-12-02T01:15:40ZDetermining a diagnostic cut-off on the Teate Depression Inventory1178-2021https://doaj.org/article/2a09c5e89dfb4e23af4eba053b13a57e2014-06-01T00:00:00Zhttp://www.dovepress.com/determining-a-diagnostic-cut-off-on-the-teate-depression-inventory-a17097https://doaj.org/toc/1178-2021 Michela Balsamo, Aristide SagginoDepartment of Psychological Sciences, Humanities and Territory, G. d’Annunzio University of Chieti-Pescara, Chieti, ItalyAbstract: 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: major depression, ROC curve, self-report scales, Rasch analysis, depression screeningBalsamo MSaggino ADove Medical PressarticleNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol 2014, Iss default, Pp 987-995 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
spellingShingle	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 Balsamo M Saggino A Determining a diagnostic cut-off on the Teate Depression Inventory
description	Michela Balsamo, Aristide SagginoDepartment of Psychological Sciences, Humanities and Territory, G. d’Annunzio University of Chieti-Pescara, Chieti, ItalyAbstract: 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: major depression, ROC curve, self-report scales, Rasch analysis, depression screening
format	article
author	Balsamo M Saggino A
author_facet	Balsamo M Saggino A
author_sort	Balsamo M
title	Determining a diagnostic cut-off on the Teate Depression Inventory
title_short	Determining a diagnostic cut-off on the Teate Depression Inventory
title_full	Determining a diagnostic cut-off on the Teate Depression Inventory
title_fullStr	Determining a diagnostic cut-off on the Teate Depression Inventory
title_full_unstemmed	Determining a diagnostic cut-off on the Teate Depression Inventory
title_sort	determining a diagnostic cut-off on the teate depression inventory
publisher	Dove Medical Press
publishDate	2014
url	https://doaj.org/article/2a09c5e89dfb4e23af4eba053b13a57e
work_keys_str_mv	AT balsamom determiningadiagnosticcutoffontheteatedepressioninventory AT sagginoa determiningadiagnosticcutoffontheteatedepressioninventory
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Determining a diagnostic cut-off on the Teate Depression Inventory

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