Disability in bipolar I disorder: Application of Mokken scaling analysis and the graded response model to the World Health Organization Disability Assessment Schedule 2.0.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
01 01 2020
Historique:
received: 12 04 2019
revised: 02 07 2019
accepted: 08 09 2019
pubmed: 21 9 2019
medline: 18 11 2020
entrez: 21 9 2019
Statut: ppublish

Résumé

The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) evaluates an individual's functioning and disability within the conceptual framework of the ICF. The present study examines the measurement properties of the WHODAS 2.0 in patients with bipolar disorder using Mokken scaling analysis (i.e., monotone homogeneity and double monotonicity models) and the graded response model. No previous studies applying these models to this instrument were found. A sample of 291 patients with bipolar disorder (42.6% males) was tested. The WHODAS 2.0 domains showed strong unidimensionality, with no items being omitted. In addition, the analysis of invariant item ordering showed that the items of each domain formed a hierarchical scale, with the exception of the 'Life activities' items for employed persons or students and item D4.5 'Sexual activities' in the 'Getting along' domain. The WHODAS 2.0 domains and the whole scale also showed excellent reliability in bipolar disorder. Although the study was limited to patients in Spain, the use of non-sample dependent procedures minimizes this limitation since the results are independent of the sample used. The WHODAS 2.0 contains six strong unidimensional domains that are hierarchical and reliable for detecting disability in bipolar disorder, although caution should be exercised with regard to some items.

Sections du résumé

BACKGROUND
The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) evaluates an individual's functioning and disability within the conceptual framework of the ICF. The present study examines the measurement properties of the WHODAS 2.0 in patients with bipolar disorder using Mokken scaling analysis (i.e., monotone homogeneity and double monotonicity models) and the graded response model. No previous studies applying these models to this instrument were found.
METHODS
A sample of 291 patients with bipolar disorder (42.6% males) was tested.
RESULTS
The WHODAS 2.0 domains showed strong unidimensionality, with no items being omitted. In addition, the analysis of invariant item ordering showed that the items of each domain formed a hierarchical scale, with the exception of the 'Life activities' items for employed persons or students and item D4.5 'Sexual activities' in the 'Getting along' domain. The WHODAS 2.0 domains and the whole scale also showed excellent reliability in bipolar disorder.
LIMITATIONS
Although the study was limited to patients in Spain, the use of non-sample dependent procedures minimizes this limitation since the results are independent of the sample used.
CONCLUSIONS
The WHODAS 2.0 contains six strong unidimensional domains that are hierarchical and reliable for detecting disability in bipolar disorder, although caution should be exercised with regard to some items.

Identifiants

pubmed: 31539687
pii: S0165-0327(19)30946-2
doi: 10.1016/j.jad.2019.09.054
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

506-513

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Juana Gómez-Benito (J)

Quantitative Psychology Unit, Faculty of Psychology, University of Barcelona, Barcelona, Spain; Group on Measurement Invariance and Analysis of Change (GEIMAC), Institute of Neurosciences, University of Barcelona, Barcelona, Spain. Electronic address: juanagomez@ub.edu.

Gomaa S M Abdelhamid (GSM)

Quantitative Psychology Unit, Faculty of Psychology, University of Barcelona, Barcelona, Spain; Group on Measurement Invariance and Analysis of Change (GEIMAC), Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Fayoum University, Faculty of Education, Department of Educational Psychology, Fayoum, Egypt.

Oscar Pino (O)

Quantitative Psychology Unit, Faculty of Psychology, University of Barcelona, Barcelona, Spain; Benito Menni CASM, Granollers General Hospital, Granollers, Spain.

Emilio Rojo (E)

Hospital Benito Menni CASM, Sisters Hospitallers, Sant Boi de Llobregat, Spain; Department of Psychiatry, International University of Catalonia, Barcelona, Spain.

Eduard Vieta (E)

Bipolar Disorders Programme, Institute of Neuroscience, Hospital Clinic i Provincial, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain.

Georgina Guilera (G)

Quantitative Psychology Unit, Faculty of Psychology, University of Barcelona, Barcelona, Spain; Group on Measurement Invariance and Analysis of Change (GEIMAC), Institute of Neurosciences, University of Barcelona, Barcelona, Spain.

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Classifications MeSH