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Validity of the Beck Depression Inventory-Fast Screen in multiple sclerosis
Introduction: The Beck Depression Inventory-Fast Screen (BDI-FS) is a brief self-report inventory designed to evaluate depression in patients with medical illness. A s depressive disorder is especially prominent in multiple sclerosis (MS), a cost-effective procedure for identifying depressive disord...
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Published in: | Multiple sclerosis 2003-08, Vol.9 (4), p.393-396 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Introduction: The Beck Depression Inventory-Fast Screen (BDI-FS) is a brief self-report inventory designed to evaluate depression in patients with medical illness. A s depressive disorder is especially prominent in multiple sclerosis (MS), a cost-effective procedure for identifying depressive disorder in MS is sorely needed. The BDI-FS may be useful in this regard although, to date, its validity in MS patients has not been assessed. Methods: Fifty-four consecutive MS patients were studied. A ll underwent psychological assessment, which included the BDI-FS and other self-report measures of depression. Forty-eight caregiver/informants were interviewed using the Neuorpsychiatric Inventory (NPI). Retrospective chart reviews were conducted by a single trained research assistant, blind to the results of psychological testing and interviews, to determine if antidepressant medications had been prescribed. Results: The BDI-FS was significantly correlated with other self-report measures of depression (P B-0.001) and with informant reported dysphoria (P B-0.01), In addition, BDI-FS scores discriminated MS patients undergoing treatment for depressive disorder from untreated MS patients (P =0.01). Conclusion: These data support the concurrent and discriminative validity of the BDI-FS in MS. A s the test is brief and not confounded with neurological symptoms, it is recommended for depression screening in this population. |
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ISSN: | 1352-4585 1477-0970 |
DOI: | 10.1191/1352458503ms902oa |