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      Neuropsychiatric Disease and Treatment (submit here)

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      Determining a diagnostic cut-off on the Teate Depression Inventory

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          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.

          Most cited references41

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          The meaning and use of the area under a receiver operating characteristic (ROC) curve.

          A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented. It is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a randomly chosen non-diseased subject. Moreover, this probability of a correct ranking is the same quantity that is estimated by the already well-studied nonparametric Wilcoxon statistic. These two relationships are exploited to (a) provide rapid closed-form expressions for the approximate magnitude of the sampling variability, i.e., standard error that one uses to accompany the area under a smoothed ROC curve, (b) guide in determining the size of the sample required to provide a sufficiently reliable estimate of this area, and (c) determine how large sample sizes should be to ensure that one can statistically detect differences in the accuracy of diagnostic techniques.
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            Diagnostic and statistical manual of mental disorders.

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              Development and validation of a geriatric depression screening scale: a preliminary report.

              A new Geriatric Depression Scale (GDS) designed specifically for rating depression in the elderly was tested for reliability and validity and compared with the Hamilton Rating Scale for Depression (HRS-D) and the Zung Self-Rating Depression Scale (SDS). In constructing the GDS a 100-item questionnaire was administered to normal and severely depressed subjects. The 30 questions most highly correlated with the total scores were then selected and readministered to new groups of elderly subjects. These subjects were classified as normal, mildly depressed or severely depressed on the basis of Research Diagnostic Criteria (RDC) for depression. The GDS, HRS-D and SDS were all found to be internally consistent measures, and each of the scales was correlated with the subject's number of RDC symptoms. However, the GDS and the HRS-D were significantly better correlated with RDC symptoms than was the SDS. The authors suggest that the GDS represents a reliable and valid self-rating depression screening scale for elderly populations.
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                Author and article information

                Journal
                Neuropsychiatr Dis Treat
                Neuropsychiatr Dis Treat
                Neuropsychiatric Disease and Treatment
                Neuropsychiatric Disease and Treatment
                Dove Medical Press
                1176-6328
                1178-2021
                2014
                03 June 2014
                : 10
                : 987-995
                Affiliations
                Department of Psychological Sciences, Humanities and Territory, G. d’Annunzio University of Chieti-Pescara, Chieti, Italy
                Author notes
                Correspondence: Michela Balsamo, Department of Psychological Sciences, Humanities, and Territory, G. d’Annunzio University of Chieti-Pescara, Via dei Vestini 30, 66100, Chieti, Italy, Tel/fax +39 0871 355 5309, Email michela.balsamo@ 123456libero.it
                Article
                ndt-10-987
                10.2147/NDT.S55706
                4051735
                24940062
                64446dc1-441d-4ce8-a04c-82717bb3c5bc
                © 2014 Balsamo and Saggino. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License

                The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

                History
                Categories
                Short Report

                Neurology
                major depression,roc curve,self-report scales,rasch analysis,depression screening
                Neurology
                major depression, roc curve, self-report scales, rasch analysis, depression screening

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