Comparative responsiveness of generic versus disorder-specific instruments for depression: An assessment in three longitudinal datasets.


Journal

Depression and anxiety
ISSN: 1520-6394
Titre abrégé: Depress Anxiety
Pays: United States
ID NLM: 9708816

Informations de publication

Date de publication:
01 2019
Historique:
received: 14 11 2017
revised: 03 04 2018
accepted: 29 05 2018
pubmed: 7 9 2018
medline: 19 3 2019
entrez: 7 9 2018
Statut: ppublish

Résumé

Routine outcome monitoring (ROM) may enhance individual treatment and is also advocated as a means to compare the outcome of different treatment programs or providers. There is debate on the optimal instruments to be used for these separate tasks. Three sets with longitudinal data from ROM were analyzed with correlational analysis and repeated measures ANOVAs, allowing for a head-to-head comparison of measures regarding their sensitivity to detect change. The responsiveness of three disorder-specific instruments, the Beck Depression Inventory, the Inventory of Depressive Symptoms, and the Mood and Anxiety Symptoms Questionnaire, was compared to three generic instruments, the Symptom Checklist (SCL-90), the Outcome Questionnaire (OQ-45), and the Brief Symptom Inventory, respectively. In two of the three datasets, disorder-specific measures were more responsive compared to the total score on generic instruments. Subscale scores for depression embedded within generic instruments are second best and almost match disorder-specific scales in responsiveness. No evidence of a desynchronous response on outcome measures was found. The present study compares measures head-to-had, and responsiveness is not assessed against an external criterion, such as clinical recovery. Disorder-specific measures yield the most precise assessment for individual treatment and are recommended for clinical use. Generic measures may allow for comparisons across diagnostic groups and their embedded subscales approach the responsiveness of disorder-specific measures.

Sections du résumé

BACKGROUND
Routine outcome monitoring (ROM) may enhance individual treatment and is also advocated as a means to compare the outcome of different treatment programs or providers. There is debate on the optimal instruments to be used for these separate tasks.
METHODS
Three sets with longitudinal data from ROM were analyzed with correlational analysis and repeated measures ANOVAs, allowing for a head-to-head comparison of measures regarding their sensitivity to detect change. The responsiveness of three disorder-specific instruments, the Beck Depression Inventory, the Inventory of Depressive Symptoms, and the Mood and Anxiety Symptoms Questionnaire, was compared to three generic instruments, the Symptom Checklist (SCL-90), the Outcome Questionnaire (OQ-45), and the Brief Symptom Inventory, respectively.
RESULTS
In two of the three datasets, disorder-specific measures were more responsive compared to the total score on generic instruments. Subscale scores for depression embedded within generic instruments are second best and almost match disorder-specific scales in responsiveness. No evidence of a desynchronous response on outcome measures was found.
LIMITATIONS
The present study compares measures head-to-had, and responsiveness is not assessed against an external criterion, such as clinical recovery.
DISCUSSION
Disorder-specific measures yield the most precise assessment for individual treatment and are recommended for clinical use. Generic measures may allow for comparisons across diagnostic groups and their embedded subscales approach the responsiveness of disorder-specific measures.

Identifiants

pubmed: 30188602
doi: 10.1002/da.22809
pmc: PMC6586043
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

93-102

Informations de copyright

© 2018, The Authors. Depression and Anxiety published by Wiley Periodicals, Inc.

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Auteurs

Edwin de Beurs (E)

Faculty of Clinical Psychology, Leiden University, Leiden, The Netherlands.

Ellen Vissers (E)

Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands.

Robert Schoevers (R)

Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands.

Ingrid V E Carlier (IVE)

Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands.

Albert M van Hemert (AM)

Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands.

Ybe Meesters (Y)

Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands.

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