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Measuring Disability: Comparing the Impact of Two Data Collection Approaches on Disability Rates

Author

Listed:
  • Carla Sabariego

    (Chair of Public Health and Health Services Research, Department of Medical Informatics, Biometry and Epidemiology—IBE, Ludwig-Maximilians-University (LMU), Munich 81377, Germany)

  • Cornelia Oberhauser

    (Chair of Public Health and Health Services Research, Department of Medical Informatics, Biometry and Epidemiology—IBE, Ludwig-Maximilians-University (LMU), Munich 81377, Germany)

  • Aleksandra Posarac

    (Social Protection and Labor, Human Development Network, The World Bank, Washington, DC 20433, USA
    These authors contributed equally to this work.)

  • Jerome Bickenbach

    (Swiss Paraplegic Research, Nottwil 6207, Switzerland
    These authors contributed equally to this work.)

  • Nenad Kostanjsek

    (Classification, Terminology and Standards, Department of Health Statistics and Informatics, World Health Organization, Geneva 1211, Switzerland
    These authors contributed equally to this work.)

  • Somnath Chatterji

    (Department of Health Statistics and Information Systems, World Health Organization, Geneva 1211, Switzerland
    These authors contributed equally to this work.)

  • Alana Officer

    (Ageing and Life Course Unit, World Health Organization, Geneva 1211, Switzerland
    These authors contributed equally to this work.)

  • Michaela Coenen

    (Chair of Public Health and Health Services Research, Department of Medical Informatics, Biometry and Epidemiology—IBE, Ludwig-Maximilians-University (LMU), Munich 81377, Germany
    These authors contributed equally to this work.)

  • Lay Chhan

    (National Institute of Statistics, Phnom Penh 12301, Cambodia
    These authors contributed equally to this work.)

  • Alarcos Cieza

    (Blindness and Deafness Prevention, Disability and Rehabilitation (BDD), World Health Organization, Geneva 1211, Switzerland)

Abstract

The usual approach in disability surveys is to screen persons with disability upfront and then ask questions about everyday problems. The objectives of this paper are to demonstrate the impact of screeners on disability rates, to challenge the usual exclusion of persons with mild and moderate disability from disability surveys and to demonstrate the advantage of using an a posteriori cut-off. Using data of a pilot study of the WHO Model Disability Survey (MDS) in Cambodia and the polytomous Rasch model, metric scales of disability were built. The conventional screener approach based on the short disability module of the Washington City Group and the a posteriori cut-off method described in the World Disability Report were compared regarding disability rates. The screener led to imprecise rates and classified persons with mild to moderate disability as non-disabled, although these respondents already experienced important problems in daily life. The a posteriori cut-off applied to the general population sample led to a more precise disability rate and allowed for a differentiation of the performance and needs of persons with mild, moderate and severe disability. This approach can be therefore considered as an inclusive approach suitable to monitor the Convention on the Rights of Persons with Disabilities.

Suggested Citation

  • Carla Sabariego & Cornelia Oberhauser & Aleksandra Posarac & Jerome Bickenbach & Nenad Kostanjsek & Somnath Chatterji & Alana Officer & Michaela Coenen & Lay Chhan & Alarcos Cieza, 2015. "Measuring Disability: Comparing the Impact of Two Data Collection Approaches on Disability Rates," IJERPH, MDPI, vol. 12(9), pages 1-23, August.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:9:p:10329-10351:d:54756
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    References listed on IDEAS

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    Cited by:

    1. Marja Eliisa Holm & Päivi Sainio & Jaana Suvisaari & Katri Sääksjärvi & Tuija Jääskeläinen & Suvi Parikka & Seppo Koskinen, 2022. "Differences in Unfavorable Lifestyle Changes during the COVID-19 Pandemic between People with and without Disabilities in Finland: Psychological Distress as a Mediator," IJERPH, MDPI, vol. 19(12), pages 1-15, June.
    2. Eric Emerson & Gwynnyth Llewellyn, 2022. "Disability among Women and Men Who Married in Childhood: Evidence from Cross-Sectional Nationally Representative Surveys Undertaken in 37 Low- and Middle-Income Countries," IJERPH, MDPI, vol. 20(1), pages 1-13, December.
    3. Jerome E. Bickenbach & Alarcos Cieza & Carla Sabariego, 2016. "Disability and Public Health," IJERPH, MDPI, vol. 13(1), pages 1-3, January.
    4. Verena Loidl & Cornelia Oberhauser & Carolina Ballert & Michaela Coenen & Alarcos Cieza & Carla Sabariego, 2016. "Which Environmental Factors Have the Highest Impact on the Performance of People Experiencing Difficulties in Capacity?," IJERPH, MDPI, vol. 13(4), pages 1-13, April.
    5. Gołata Elżbieta & Dehnel Grażyna, 2021. "Credibility of disability estimates from the 2011 population census in Poland," Statistics in Transition New Series, Statistics Poland, vol. 22(2), pages 41-65, June.
    6. Inge Debrouwere & Pedro Celestino Álvarez Vera & Ximena del Carmen Pavón Benítez & Celia Katherine Rosero Arboleda & Peter Prinzie & Jo Lebeer, 2021. "Lessons from Disability Counting in Ecuador, with a Contribution from Primary Health Care," IJERPH, MDPI, vol. 18(10), pages 1-19, May.
    7. Islay Mactaggart & Ammar Hasan Bek & Lena Morgon Banks & Tess Bright & Carlos Dionicio & Shaffa Hameed & Shailes Neupane & GVS Murthy & Ahmed Orucu & Joseph Oye & Jonathan Naber & Tom Shakespeare & An, 2021. "Interrogating and Reflecting on Disability Prevalence Data Collected Using the Washington Group Tools: Results from Population-Based Surveys in Cameroon, Guatemala, India, Maldives, Nepal, Turkey and ," IJERPH, MDPI, vol. 18(17), pages 1-14, August.
    8. Kwok Ng & Piritta Asunta & Niko Leppä & Pauli Rintala, 2020. "Intra-Rater Test-Retest Reliability of a Modified Child Functioning Module, Self-Report Version," IJERPH, MDPI, vol. 17(19), pages 1-11, September.
    9. Jennifer H. Madans & Daniel Mont & Mitchell Loeb, 2015. "Comments on Sabariego et al . Measuring Disability: Comparing the Impact of Two Data Collection Approaches on Disability Rates. Int. J. Environ. Res. Public Health , 2015, 12 , 10329–10351," IJERPH, MDPI, vol. 13(1), pages 1-3, December.
    10. Ivana Ivandic & Kaloyan Kamenov & Diego Rojas & Gloria Cerón & Dennis Nowak & Carla Sabariego, 2017. "Determinants of Work Performance in Workers with Depression and Anxiety: A Cross-Sectional Study," IJERPH, MDPI, vol. 14(5), pages 1-11, April.
    11. Manjula Marella & Donna Koolmees & Chandalin Vongvilay & Bernard Frank & Wesley Pryor & Fleur Smith, 2021. "Development of a Digital Case Management Tool for Community Based Inclusive Development Program," IJERPH, MDPI, vol. 18(20), pages 1-17, October.

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