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The Inventory of Depressive Symptomatology, Clinician Rating (IDS-C) and Self-Report (IDS-SR), and the Quick Inventory of Depressive Symptomatology, Clinician Rating (QIDS-C) and Self-Report (QIDS-SR) in public sector patients with mood disorders: a psychometric evaluation

Published online by Cambridge University Press:  14 January 2004

M. H. TRIVEDI
Affiliation:
Department of Psychiatry and Academic Computing Services, University of Texas Southwestern Medical Center at Dallas; the College of Pharmacy, University of Texas at Austin and the Texas Department of Mental Health and Mental Retardation, Austin, Texas, USA
A. J. RUSH
Affiliation:
Department of Psychiatry and Academic Computing Services, University of Texas Southwestern Medical Center at Dallas; the College of Pharmacy, University of Texas at Austin and the Texas Department of Mental Health and Mental Retardation, Austin, Texas, USA
H. M. IBRAHIM
Affiliation:
Department of Psychiatry and Academic Computing Services, University of Texas Southwestern Medical Center at Dallas; the College of Pharmacy, University of Texas at Austin and the Texas Department of Mental Health and Mental Retardation, Austin, Texas, USA
T. J. CARMODY
Affiliation:
Department of Psychiatry and Academic Computing Services, University of Texas Southwestern Medical Center at Dallas; the College of Pharmacy, University of Texas at Austin and the Texas Department of Mental Health and Mental Retardation, Austin, Texas, USA
M. M. BIGGS
Affiliation:
Department of Psychiatry and Academic Computing Services, University of Texas Southwestern Medical Center at Dallas; the College of Pharmacy, University of Texas at Austin and the Texas Department of Mental Health and Mental Retardation, Austin, Texas, USA
T. SUPPES
Affiliation:
Department of Psychiatry and Academic Computing Services, University of Texas Southwestern Medical Center at Dallas; the College of Pharmacy, University of Texas at Austin and the Texas Department of Mental Health and Mental Retardation, Austin, Texas, USA
M. L. CRISMON
Affiliation:
Department of Psychiatry and Academic Computing Services, University of Texas Southwestern Medical Center at Dallas; the College of Pharmacy, University of Texas at Austin and the Texas Department of Mental Health and Mental Retardation, Austin, Texas, USA
K. SHORES-WILSON
Affiliation:
Department of Psychiatry and Academic Computing Services, University of Texas Southwestern Medical Center at Dallas; the College of Pharmacy, University of Texas at Austin and the Texas Department of Mental Health and Mental Retardation, Austin, Texas, USA
M. G. TOPRAC
Affiliation:
Department of Psychiatry and Academic Computing Services, University of Texas Southwestern Medical Center at Dallas; the College of Pharmacy, University of Texas at Austin and the Texas Department of Mental Health and Mental Retardation, Austin, Texas, USA
E. B. DENNEHY
Affiliation:
Department of Psychiatry and Academic Computing Services, University of Texas Southwestern Medical Center at Dallas; the College of Pharmacy, University of Texas at Austin and the Texas Department of Mental Health and Mental Retardation, Austin, Texas, USA
B. WITTE
Affiliation:
Department of Psychiatry and Academic Computing Services, University of Texas Southwestern Medical Center at Dallas; the College of Pharmacy, University of Texas at Austin and the Texas Department of Mental Health and Mental Retardation, Austin, Texas, USA
T. M. KASHNER
Affiliation:
Department of Psychiatry and Academic Computing Services, University of Texas Southwestern Medical Center at Dallas; the College of Pharmacy, University of Texas at Austin and the Texas Department of Mental Health and Mental Retardation, Austin, Texas, USA

Abstract

Background. The present study provides additional data on the psychometric properties of the 30-item Inventory of Depressive Symptomatology (IDS) and of the recently developed Quick Inventory of Depressive Symptomatology (QIDS), a brief 16-item symptom severity rating scale that was derived from the longer form. Both the IDS and QIDS are available in matched clinician-rated (IDS-C30; QIDS-C16) and self-report (IDS-SR30; QIDS-SR16) formats.

Method. The patient samples included 544 out-patients with major depressive disorder (MDD) and 402 out-patients with bipolar disorder (BD) drawn from 19 regionally and ethnicically diverse clinics as part of the Texas Medication Algorithm Project (TMAP). Psychometric analyses including sensitivity to change with treatment were conducted.

Results. Internal consistencies (Cronbach's alpha) ranged from 0·81 to 0·94 for all four scales (QIDS-C16, QIDS-SR16, IDS-C30 and IDS-SR30) in both MDD and BD patients. Sad mood, involvement, energy, concentration and self-outlook had the highest item-total correlations among patients with MDD and BD across all four scales. QIDS-SR16 and IDS-SR30 total scores were highly correlated among patients with MDD at exit (c=0·83). QIDS-C16 and IDS-C30 total scores were also highly correlated among patients with MDD (c=0·82) and patients with BD (c=0·81). The IDS-SR30, IDS-C30, QIDS-SR16, and QIDS-C16 were equivalently sensitive to symptom change, indicating high concurrent validity for all four scales. High concurrent validity was also documented based on the SF-12 Mental Health Summary score for the population divided in quintiles based on their IDS or QIDS score.

Conclusion. The QIDS-SR16 and QIDS-C16, as well as the longer 30-item versions, have highly acceptable psychometric properties and are treatment sensitive measures of symptom severity in depression.

Type
Research Article
Copyright
2004 Cambridge University Press

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