Literature DB >> 15771212

Barriers to the use of assistive technology for children with multiple disabilities.

Jodie Copley1, Jenny Ziviani.   

Abstract

Assistive technology has aided children with multiple disabilities to improve access and participation in their school and home environments. Effective educational outcomes from assistive technology use are dependent upon a coordinated assessment and implementation process. The literature on assistive technology with children was reviewed in order to identify current barriers to its effective integration within schools. These barriers were found to include lack of appropriate staff training and support, negative staff attitudes, inadequate assessment and planning processes, insufficient funding, difficulties procuring and managing equipment, and time constraints. A team model for assistive technology assessment and planning is proposed to optimize the educational goal achievement of children with multiple disabilities. Such a model can help target the allocation of occupational therapy resources in schools to best promote educational and broader functional outcomes from assistive technology use.

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Mesh:

Year:  2004        PMID: 15771212     DOI: 10.1002/oti.213

Source DB:  PubMed          Journal:  Occup Ther Int        ISSN: 0966-7903            Impact factor:   1.448


  12 in total

1.  Investigating Event Memory in Children with Autism Spectrum Disorder: Effects of a Computer-Mediated Interview.

Authors:  Che-Wei Hsu; Yee-San Teoh
Journal:  J Autism Dev Disord       Date:  2017-02

2.  Active mobility, active participation: a systematic review of modified ride-on car use by children with disabilities.

Authors:  C M Hospodar; H A Feldner; S W Logan
Journal:  Disabil Rehabil Assist Technol       Date:  2021-08-26

Review 3.  Proactive Ethical Design for Neuroengineering, Assistive and Rehabilitation Technologies: the Cybathlon Lesson.

Authors:  Marcello Ienca; Reto W Kressig; Fabrice Jotterand; Bernice Elger
Journal:  J Neuroeng Rehabil       Date:  2017-11-14       Impact factor: 4.262

4.  Hope and Technology: Other-Oriented Hope Related to Eye Gaze Technology for Children with Severe Disabilities.

Authors:  Patrik Rytterström; Maria Borgestig; Helena Hemmingsson
Journal:  Int J Environ Res Public Health       Date:  2019-05-14       Impact factor: 3.390

5.  Body-machine interface for control of a screen cursor for a child with congenital absence of upper and lower limbs: a case report.

Authors:  Mei-Hua Lee; Rajiv Ranganathan; Florian A Kagerer; Ranjan Mukherjee
Journal:  J Neuroeng Rehabil       Date:  2016-03-24       Impact factor: 4.262

6.  Model of Providing Assistive Technologies in Special Education Schools.

Authors:  Suchitporn Lersilp; Supawadee Putthinoi; Nopasit Chakpitak
Journal:  Glob J Health Sci       Date:  2015-05-14

7.  Development and Usability Testing of an Emergency Alert Device for Elderly People and People with Disabilities.

Authors:  Suchitporn Lersilp; Supawadee Putthinoi; Peerasak Lerttrakarnnon; Patima Silsupadol
Journal:  ScientificWorldJournal       Date:  2020-02-20

8.  A Framework for a New Approach to Empower Users Through Low-Cost and Do-It-Yourself Assistive Technology.

Authors:  Thais Pousada García; Jessica Garabal-Barbeira; Patricia Porto Trillo; Olalla Vilar Figueira; Cristina Novo Díaz; Javier Pereira Loureiro
Journal:  Int J Environ Res Public Health       Date:  2021-03-16       Impact factor: 3.390

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

Authors:  Monica Jamali-Phiri; Ikenna D Ebuenyi; Emma M Smith; Juba Alyce Kafumba; Malcolm MacLachlan; Alister Munthali
Journal:  Int J Environ Res Public Health       Date:  2021-03-16       Impact factor: 3.390

10.  More Than Just Assistive Devices: How a South African Social Enterprise Supports an Environment of Inclusion.

Authors:  Zara Trafford; Erna van der Westhuizen; Shona McDonald; Margi Linegar; Leslie Swartz
Journal:  Int J Environ Res Public Health       Date:  2021-03-06       Impact factor: 3.390

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