Journal of Clinical Epidemiology
Volume 61, Issue 11 , Pages 1132-1143, November 2008

Modified WHODAS-II provides valid measure of global disability but filter items increased skewness

  • Michael Von Korff

      Affiliations

    • Center for Health Studies, Group Health Cooperative of Puget Sound, 1730 Minor Avenue, Suite 1600, Seattle, WA, USA
    • Corresponding Author InformationCorresponding author. Tel.: 206-287-2874; fax: 206-287-2871.
  • ,
  • Paul K. Crane

      Affiliations

    • Department of General Internal Medicine, University of Washington, Harborview Medical Center, Seattle, WA, USA
  • ,
  • Jordi Alonso

      Affiliations

    • Institute of Municipal d'Investigacio Medica (IMIM), Spain
  • ,
  • Gemma Vilagut

      Affiliations

    • Institut Municipal d'Investigacio Medica (IMIM), Barcelona, Spain
  • ,
  • Matthias C. Angermeyer

      Affiliations

    • Department of Psychiatry, University of Leipzig, Germany
  • ,
  • Ronny Bruffaerts

      Affiliations

    • Department of Neurosciences and Psychiatry, University Hospitals Gasthuisberg, Leuven, Belgium
  • ,
  • Giovanni de Girolamo

      Affiliations

    • Department of Mental Health, AUSL di Bologna, Italy
  • ,
  • Oye Gureje

      Affiliations

    • Trimbos Institute, Utrecht, Netherlands
  • ,
  • Ron de Graaf

      Affiliations

    • Department of Psychiatry, University College Hospital, Ibadan, Nigeria
  • ,
  • Yueqin Huang

      Affiliations

    • Institute of Mental Health, Peking University, Beijing, PRC
  • ,
  • Noboru Iwata

      Affiliations

    • Faculty of Human and Social Environment, Hiroshima International University Kurose, Hiroshima, Japan
  • ,
  • Elie G. Karam

      Affiliations

    • Institute for Development Research Advocacy and Applied Care (IDRAAC) P.O. Box 166227, Ashrafieh, Beirut, Lebanon
  • ,
  • Viviane Kovess

      Affiliations

    • Fondation MGEN pour la Sante Publique, Paris
  • ,
  • Carmen Lara

      Affiliations

    • National Institute of Psychiatry, Mexico, B. Autonomous University of Puebla
  • ,
  • Daphna Levinson

      Affiliations

    • Ministry of Health, Mental Health Services, Israel
  • ,
  • José Posada-Villa

      Affiliations

    • Saldarriaga Concha Foundation, Colombia
  • ,
  • Kate M. Scott

      Affiliations

    • Department of Psychological Medicine, Wellington School of Medicine Otago University, Wellington, New Zealand
  • ,
  • Johan Ormel

      Affiliations

    • University Medical Center Groningen, University of Groningen, The Netherlands

Accepted 26 December 2007. published online 11 July 2008.

Abstract 

Objective

The WHODAS-II was substantially modified for use in the World Mental Health Surveys. This article considers psychometric properties and implications of filter items used to reduce respondent burden of the modified WHODAS-II.

Study Design and Setting

Seventeen surveys in 16 countries administered a modified WHODAS-II to population samples (N=38,934 adults). Modifications included introducing filter questions for four subscales and substituting questions on the number of days activity was limited for the Life Activities domain. We evaluated distributional properties, reliability, and validity of the modified WHODAS-II.

Results

Most respondents (77%–99%) had zero scores on filtered subscales. Lower bound estimates of internal consistency (alpha) for the filtered subscales were typically in the 0.70s, but were higher for the Global scale. Loadings of subscale scores on a Global Disability factor were moderate to high. Correlations with the Sheehan Disability Scale were modest but consistently positive, while correlations with SF-12 Physical Component Summary were considerably higher. Cross-national variability in disability scores was observed, but was not readily explainable.

Conclusions

Internal consistency and validity of the modified WHODAS-II was generally supported, but use of filter questions impaired measurement properties. Group differences in modified WHODAS-II disability scores may be compared within, but not necessarily across, countries.

Keywords: Disability, Measurement, Reliability, Validity, Survey, Epidemiology

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PII: S0895-4356(08)00006-1

doi:10.1016/j.jclinepi.2007.12.009

Journal of Clinical Epidemiology
Volume 61, Issue 11 , Pages 1132-1143, November 2008