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Socio-Demographic Factors Influencing the Use of Assistive Technology among Children with Disabilities in Malawi

Author

Listed:
  • Monica Jamali-Phiri

    (Centre for Social Research, University of Malawi, Zomba, Malawi)

  • Ikenna D. Ebuenyi

    (Assisting Living & Learning (ALL) Institute, Department of Psychology, Maynooth University, W23 F2K8 Maynooth, Ireland)

  • Emma M. Smith

    (Assisting Living & Learning (ALL) Institute, Department of Psychology, Maynooth University, W23 F2K8 Maynooth, Ireland)

  • Juba Alyce Kafumba

    (Centre for Social Research, University of Malawi, Zomba, Malawi)

  • Malcolm MacLachlan

    (Assisting Living & Learning (ALL) Institute, Department of Psychology, Maynooth University, W23 F2K8 Maynooth, Ireland
    Olomouc University Social Health Institute (OUSHI), Palacký University, 779 00 Olomouc, Czech Republic)

  • Alister Munthali

    (Centre for Social Research, University of Malawi, Zomba, Malawi)

Abstract

This paper aims to address the information gap on the influence of socio-demographic factors on access and utilization of Assistive Technology (AT) among children with disabilities in Malawi. Thus, it contributes towards the realization of the recommendations of the UN Convention on the Rights of Persons with disabilities and the development of a framework for creating an effective national AT policy. The paper used two statistically matched datasets, namely, the 2017 survey on Living conditions among persons with disabilities in Malawi and the 2015-16 Malawi Demographic and Health survey. Logistic regression and structural equation modeling techniques were utilized to assess the influence of socio-demographic factors on the use of AT among children with disabilities. The results indicate that there is a high level of unmet need for AT among young children aged 2 to 9 and those living in urban areas. The results further indicate that children with multiple disabilities have lower odds (OR = 0.924) of using AT for personal mobility compared to children with a single functional difficulty. These results entail that AT needs for children with multiple disabilities are not adequately addressed. Therefore, when developing policies on AT, younger children and those with multiple disabilities need to be specifically targeted.

Suggested Citation

  • Monica Jamali-Phiri & Ikenna D. Ebuenyi & Emma M. Smith & Juba Alyce Kafumba & Malcolm MacLachlan & Alister Munthali, 2021. "Socio-Demographic Factors Influencing the Use of Assistive Technology among Children with Disabilities in Malawi," IJERPH, MDPI, vol. 18(6), pages 1-12, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:3062-:d:518020
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    References listed on IDEAS

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    1. Michael N. Mitchell, 2012. "Interpreting and Visualizing Regression Models Using Stata," Stata Press books, StataCorp LP, number ivrm, March.
    2. Arne H Eide & Hasheem Mannan & Mustafa Khogali & Gert van Rooy & Leslie Swartz & Alister Munthali & Karl-Gerhard Hem & Malcolm MacLachlan & Karin Dyrstad, 2015. "Perceived Barriers for Accessing Health Services among Individuals with Disability in Four African Countries," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-13, May.
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