Diagnostic utility of the Quick Inventory of Depressive Symptomatology (QIDS-C16 and QIDS-SR16) in the elderly
Doraiswamy PM, Bernstein IH, Rush AJ, Kyutoku Y, Carmody TJ, Macleod L, Venkatraman S, Burks M, Stegman D, Witte B, Trivedi MH. Diagnostic utility of the Quick Inventory of Depressive Symptomatology (QIDS‐C16 and QIDS‐SR16) in the elderly. Objective: To evaluate psychometric properties and comparab...
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Published in | Acta psychiatrica Scandinavica Vol. 122; no. 3; pp. 226 - 234 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.09.2010
Blackwell |
Subjects | |
Online Access | Get full text |
ISSN | 0001-690X 1600-0447 1600-0447 |
DOI | 10.1111/j.1600-0447.2009.01531.x |
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Summary: | Doraiswamy PM, Bernstein IH, Rush AJ, Kyutoku Y, Carmody TJ, Macleod L, Venkatraman S, Burks M, Stegman D, Witte B, Trivedi MH. Diagnostic utility of the Quick Inventory of Depressive Symptomatology (QIDS‐C16 and QIDS‐SR16) in the elderly.
Objective: To evaluate psychometric properties and comparability ability of the Montgomery‐Åsberg Depression Rating Scale (MADRS) vs. the Quick Inventory of Depressive Symptomatology–Clinician‐rated (QIDS‐C16) and Self‐report (QIDS‐SR16) scales to detect a current major depressive episode in the elderly.
Method: Community and clinic subjects (age ≥60 years) were administered the Mini‐International Neuropsychiatric Interview (MINI) for DSM‐IV and three depression scales randomly. Statistics included classical test and Samejima item response theories, factor analyzes, and receiver operating characteristic methods.
Results: In 229 elderly patients (mean age = 73 years, 39% male, 54% current depression), all three scales were unidimensional and with nearly equal Cronbach α reliability (0.85–0.89). Each scale discriminated persons with major depression from the non‐depressed, but the QIDS‐C16 was slightly more accurate.
Conclusion: All three tests are valid for detecting geriatric major depression with the QIDS‐C16 being slightly better. Self‐rated QIDS‐SR16 is recommended as a screening tool as it is least expensive and least time consuming. |
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Bibliography: | ArticleID:ACPS1531 istex:F32A6E293444A25B93B35268BFF788A3AD834F3B ark:/67375/WNG-K60M7R66-6 Present address: Duke‐National University of Singapore, Singapore, Singapore. SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23 |
ISSN: | 0001-690X 1600-0447 1600-0447 |
DOI: | 10.1111/j.1600-0447.2009.01531.x |