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
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...
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| Published in | Psychological medicine Vol. 34; no. 1; pp. 73 - 82 |
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| Main Authors | , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Cambridge, UK
Cambridge University Press
01.01.2004
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| Subjects | |
| Online Access | Get full text |
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| 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. |
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| AbstractList | 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. 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. 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. 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. 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. BACKGROUNDThe 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. METHODThe 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. RESULTSInternal 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. CONCLUSIONThe 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. 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-C 30 ; QIDS-C 16 ) and self-report (IDS-SR 30 ; QIDS-SR 16 ) 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-C 16 , QIDS-SR 16 , IDS-C 30 and IDS-SR 30 ) 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-SR 16 and IDS-SR 30 total scores were highly correlated among patients with MDD at exit ( c =0·83). QIDS-C 16 and IDS-C 30 total scores were also highly correlated among patients with MDD ( c =0·82) and patients with BD ( c =0·81). The IDS-SR 30 , IDS-C 30 , QIDS-SR 16 , and QIDS-C 16 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-SR 16 and QIDS-C 16 , as well as the longer 30-item versions, have highly acceptable psychometric properties and are treatment sensitive measures of symptom severity in depression. 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-C(sub 30); QIDS-C(sub 16)) and self-report (IDS-SR(sub 30); QIDS-SR(sub 16)) 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-C(sub 16), QIDS-SR(sub 16), IDS-C(sub 30) and IDS-SR(sub 30)) 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-SR(sub 16) and IDS-SR(sub 30) total scores were highly correlated among patients with MDD at exit (c = 0.83). QIDS-Q(sub 16) and IDS-C(sub 30) total scores were also highly correlated among patients with MDD (c = 0.82) and patients with BD (c = 0.81). The IDS-SR(sub 30), IDS-C(sub 30), QIDS-SR(sub 16), and QIDS-C(sub 16) 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-SR(sub 16) and QIDS-C(sub 16), as well as the longer 30-item versions, have highly acceptable psychometric properties and are treatment sensitive measures of symptom severity in depression. (Original abstract) |
| Author | DENNEHY, E. B. SUPPES, T. RUSH, A. J. CARMODY, T. J. CRISMON, M. L. WITTE, B. TRIVEDI, M. H. SHORES-WILSON, K. KASHNER, T. M. IBRAHIM, H. M. BIGGS, M. M. TOPRAC, M. G. |
| Author_xml | – sequence: 1 givenname: M. H. surname: TRIVEDI fullname: TRIVEDI, M. H. organization: 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 – sequence: 2 givenname: A. J. surname: RUSH fullname: RUSH, A. J. organization: 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 – sequence: 3 givenname: H. M. surname: IBRAHIM fullname: IBRAHIM, H. M. organization: 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 – sequence: 4 givenname: T. J. surname: CARMODY fullname: CARMODY, T. J. organization: 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 – sequence: 5 givenname: M. M. surname: BIGGS fullname: BIGGS, M. M. organization: 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 – sequence: 6 givenname: T. surname: SUPPES fullname: SUPPES, T. organization: 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 – sequence: 7 givenname: M. L. surname: CRISMON fullname: CRISMON, M. L. organization: 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 – sequence: 8 givenname: K. surname: SHORES-WILSON fullname: SHORES-WILSON, K. organization: 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 – sequence: 9 givenname: M. G. surname: TOPRAC fullname: TOPRAC, M. G. organization: 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 – sequence: 10 givenname: E. B. surname: DENNEHY fullname: DENNEHY, E. B. organization: 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 – sequence: 11 givenname: B. surname: WITTE fullname: WITTE, B. organization: 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 – sequence: 12 givenname: T. M. surname: KASHNER fullname: KASHNER, T. M. organization: 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 |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15663285$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/14971628$$D View this record in MEDLINE/PubMed |
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| Keywords | Mood disorder Social environment Human Evaluation Questionnaire Self evaluation Prediction Mental health Depression Psychometrics Bipolar disorder Test reliability Public sector Construct validity Test validation Symptomatology Treatment Follow up study Convergent validity Severity score Typology Comparative study Public health |
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| Snippet | Background. The present study provides additional data on the psychometric properties of the 30-item Inventory of Depressive Symptomatology (IDS) and of the... The present study provides additional data on the psychometric properties of the 30-item Inventory of Depressive Symptomatology (IDS) and of the recently... Background. The present study provides additional data on the psychometric properties of the 30-item Inventory of Depressive Symptomatology (IDS) and of the... BACKGROUNDThe present study provides additional data on the psychometric properties of the 30-item Inventory of Depressive Symptomatology (IDS) and of the... |
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| SubjectTerms | Adult Biological and medical sciences Bipolar Disorder - classification Bipolar Disorder - diagnosis Bipolar Disorder - physiopathology Depression Depressive Disorder, Major - classification Depressive Disorder, Major - diagnosis Depressive Disorder, Major - physiopathology Female Humans Male Measures Medical sciences Middle Aged Psychiatric Status Rating Scales - standards Psychology. Psychoanalysis. Psychiatry Psychometric properties Psychometrics - instrumentation Psychometrics. Diagnostic aid systems Psychopathology. Psychiatry Sensitivity and Specificity Severity Severity of Illness Index Symptoms Techniques and methods Texas Treatment Outcome |
| Title | 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 |
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