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      Validation of the "World Health Organization Disability Assessment Schedule, WHODAS-2" in patients with chronic diseases

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          Abstract

          Background

          The WHODAS-2 is a disability assessment instrument based on the conceptual framework of the International Classification of Functioning, Disability, and Health (ICF). It provides a global measure of disability and 7 domain-specific scores. The aim of this study was to assess WHODAS-2 conceptual model and metric properties in a set of chronic and prevalent clinical conditions accounting for a wide scope of disability in Europe.

          Methods

          1,119 patients with one of 13 chronic conditions were recruited in 7 European centres. Participants were clinically evaluated and administered the WHODAS-2 and the SF-36 at baseline, 6 weeks and 3 months of follow-up. The latent structure was explored and confirmed by factor analysis (FA). Reliability was assessed in terms of internal consistency (Cronbach's alpha) and reproducibility (intra-class correlation coefficients, ICC). Construct validity was evaluated by correlating the WHODAS-2 and SF-36 domains, and comparing known groups based on the clinical-severity and work status. Effect size (ES) coefficient was used to assess responsiveness. To assess reproducibility and responsiveness, subsamples of stable (at 6 weeks) and improved (after 3 moths) patients were defined, respectively, according to changes in their clinical-severity.

          Results

          The satisfactory FA goodness of fit indexes confirmed a second order factor structure with 7 dimensions, and a global score for the WHODAS-2. Cronbach's alpha ranged from 0.77 (self care) to 0.98 (life activities: work or school), and the ICC was lower, but achieved the recommended standard of 0.7 for four domains. Correlations between global WHODAS-2 score and the different domains of the SF-36 ranged from -0.29 to -0.65. Most of the WHODAS-2 scores showed statistically significant differences among clinical-severity groups for all pathologies, and between working patients and those not working due to ill health (p < 0.001). Among the subsample of patients who had improved, responsiveness coefficients were small to moderate (ES = 0.3-0.7), but higher than those of the SF-36.

          Conclusions

          The latent structure originally designed by WHODAS-2 developers has been confirmed for the first time, and it has shown good metric properties in clinic and rehabilitation samples. Therefore, considerable support is provided to the WHODAS-2 utilization as an international instrument to measure disability based on the ICF model.

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          Most cited references31

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          Coefficient alpha and the internal structure of tests

          Psychometrika, 16(3), 297-334
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            Statistical methods for assessing agreement between two methods of clinical measurement.

            In clinical measurement comparison of a new measurement technique with an established one is often needed to see whether they agree sufficiently for the new to replace the old. Such investigations are often analysed inappropriately, notably by using correlation coefficients. The use of correlation is misleading. An alternative approach, based on graphical techniques and simple calculations, is described, together with the relation between this analysis and the assessment of repeatability.
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              The functional independence measure: a new tool for rehabilitation.

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                Author and article information

                Journal
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central
                1477-7525
                2010
                19 May 2010
                : 8
                : 51
                Affiliations
                [1 ]Health Services Research Unit, IMIM-Hospital del Mar, Barcelona, Spain
                [2 ]CIBER en Epidemiología y Salud Pública (CIBERESP), Spain
                [3 ]Department of Psychiatry, Hospital Universitario de la Princesa. Universidad Autonoma de Madrid; CIBERSAM, Madrid, Spain
                [4 ]Health Statistics and Informatics, WHO, Geneva, Switzerland
                [5 ]Ludwig-Maximilians-University, Munich, Germany
                [6 ]Charles University, Prague, Czech Republic
                [7 ]Institute for Rehabilitation, Ljubljana, Slovenia
                [8 ]Fondazione Don Carlo Gnocchi- Onlus, Milano, Italy
                [9 ]Agenzia Regionale Sanità, Pordenone, Italy
                [10 ]Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
                [11 ]Fondazione IRCCS, Instituto Neurologico Carlo Besta, Milano, Italy
                [12 ]Universitat Autònoma de Barcelona, Spain
                Article
                1477-7525-8-51
                10.1186/1477-7525-8-51
                2893517
                20482853
                8104a296-95e7-4321-aa4e-8eb41ee05fdd
                Copyright ©2010 Garin et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 October 2009
                : 19 May 2010
                Categories
                Research

                Health & Social care
                Health & Social care

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