Predictors of unmet needs for communication and mobility assistive devices among youth with a disability: the role of socio-cultural factors

References

• Angelo D. Impact of augmentative and alternative communication devices on families. Augment Alternat Commun 2000;16:37–47.
   Google Scholar
• Hodge S. Why is the potential of augmentative and alternative communication not being realized? Exploring the experiences of people who use communication aids. Disabil Soc 2007;22:457–471.
   Web of Science ®Google Scholar
• Gordon P, Kerzner L, Sheldon T, Hansen E. Assistive devices in Canada: ensuring inclusion and independence. Toronto: Arch Disability Law Centre; 2007.
   Google Scholar
• Collins J, Gill T, Chittleborough C, Martin A, Taylor A, Winefield. Mental, emotional and social problems among school children with asthma. J Asthma 2008;45:489–493.
   PubMed Web of Science ®Google Scholar
• Imms C, Reilly S, Carlin J, Dodd K. Diversity of participation in children with cerebral palsy. Develop Med Child Neurol 2008;50:363–369.
   PubMed Web of Science ®Google Scholar
• Dusing S, Skinner A, Mayer M. Unmet need for therapy services, assistive devices and related services: data from the national survey of children with special health care needs. Ambulat Pediatr 2004;4(5):448–454.
   PubMedGoogle Scholar
• Statistics Canada. Participation and activity limitation survey. Ottawa, Statistics Canada; 2008.
   Google Scholar
• American Academy of Pediatrics. Improving transition for adolescents with special health care needs from pediatric to adult-centered care. Pediatrics 2002;110:1304–1335.
   PubMed Web of Science ®Google Scholar
• Stewart D, Law M, Rosenbaum P, Willms D. A qualitative study of the transition to adulthood for youth with physical disabilities. Phys Occupat Therapy Pediatr 2001;21:3–21.
   PubMedGoogle Scholar
• McDonagh J. Growing up and moving on: transition from pediatric to adult care. Pediatr Transpl 2005;9:364–372.
   PubMedGoogle Scholar
• Toronto Rehabilitation Institute. Adult transition clinic needs assessment. Toronto Rehabilitation Institute, Toronto, Ontario; 2003.
   Google Scholar
• deKlerk M, Huijsman R, McDonnell J. The use of technical aids by elderly persons in the Netherlands. Gerontologist 1997;37:365–373.
   PubMedGoogle Scholar
• Kaye H, Yeager P, Reed M. Disparities in usage of assistive technology among people with disabilities. Assist Technol 2008;20:194–203.
   PubMed Web of Science ®Google Scholar
• Skinner D, Weisner T. Sociocultural studies of families of children with intellectual disabilities. Ment Retard Develop Disabil Res Rev 2007;13:302–312.
   PubMedGoogle Scholar
• Montes G, Halterman J. Association of childhood autism spectrum disorders and loss of family income. Pediatrics 2008;121:821–826.
   PubMed Web of Science ®Google Scholar
• Hunt P, Boninger M, Cooper R, Zafonte R, Fitzgerald S, Schmeler M. Demographic and socioeconomic factors associated with disparity in wheelchair customizability among people with traumatic spinal cord injury. Arch Phys Med Rehabil 2004;8:1859–1864.
   Google Scholar
• Ali Z, Fazil Q, Bywaters P, Wallace L, Singh G. Disability, ethnicity and childhood: a critical review of research. Disabil Soc 2001;16:949–968.
   Web of Science ®Google Scholar
• Hanvey L. 2001. Children and youth with special needs: summary report of findings. Ottawa: Canadian Council on Social Development.
   Google Scholar
• Petrenchik T. Childhood disability in the context of poverty. Hamilton: CanChild Centre for Childhood Disability Research; 2008.
   Google Scholar
• Bauer W. Increasing access through assistive technology for disabilities in rural areas. 1998. Electronic Citation, www.dinf.ne.jp/doc/english/Us_Eu/conf/csun_09/csun98_018.html
   Google Scholar
• Gitlow L, Sanford T. 2003. Assistive technology education needs of allied health professionals in a rural state. J Allied Health 2003;32:46–51.
   PubMedGoogle Scholar
• Savage R, Yon Y, Campo M, Wilson A, Kahlon R, Sixsmith A. Market potential for ambient assisted living technology: the case of Canada. Ambient Assistive Health and Wellness Management in the Heart of the City 2009;5597:57–65.
   Google Scholar
• Dura-Vila G, Hodes M. 2009. Ethnic variation in service utilisation among children with intellectual disability. J Intellect Disabil Res 2009;53:939–948.
   PubMedGoogle Scholar
• Avison W. Single motherhood and mental health: implications for primary prevention. Can Med Assoc J 1997;156:661–663.
   PubMed Web of Science ®Google Scholar
• Thomas K, Ellis A, McLaurin C, Daniels J, Morrissey J. Access to care for autism-related services. J Autism Dev Disorder 2007;37:1902–1912.
   PubMed Web of Science ®Google Scholar
• McDougall J, King G, DeWit D, Miller L, Hong S, Offord D, Laporta J, Meyer K. Chronic physical health conditions and disability among Canadian school-aged children. Disabil Rehabil 2004;26:35–45.
   PubMed Web of Science ®Google Scholar
• Levine K. Against all odds: resilience in single mothers of children with disabilities. Soc Work Health Care 2009;48:402–419.
   PubMed Web of Science ®Google Scholar
• Biermans M, Dekker J, vandenEnde C. Prescription of technical aids by general practitioners in the Netherlands Health Policy. 2004;67:107–113.
   Google Scholar
• Hung J, Wu Y, Wu W, Leong C, Lau Y. Regional survey of assistive devices use by children with physical disabilities in southern Taiwan. Chang Jung Medical Journal. 2007;30:354–362.
   Google Scholar
• Scherer M, Jutai J, Fuhrer M, Demers L, Deruyter F. A framework for modeling the selection of assistive technology devices. Disabil Rehabil 2007;2:1–8.
   Google Scholar
• Beck A, Thompson J, Kosuwan K, Prochnow J. Development and utilization of a scale to measure adolescents' attitudes toward peers who use AAC devices. J Speech Lang Hearing Res 2010;53:572–587.
   PubMed Web of Science ®Google Scholar
• Bertoli S, Staehelin K, Zemp E, Schindler C, Bodmer D, Probst R. Survey on hearing aid use and satisfaction in Switzerland and their determinants. Int J Audiol 2009;48(4):183–195.
   PubMedGoogle Scholar
• Dekker J, Rijken M, Van Poppel M, DeBruin A. The possession of technical aids among persons with a somatic chronic disease. Disabil Rehabil 2003;25:393–398.
   PubMed Web of Science ®Google Scholar
• Edwards N, Jones D. Ownership and use of assistive devices amongst older people in the community. Age Ageing 1998;27:463–468.
   PubMed Web of Science ®Google Scholar
• Martin B, McCormack L. Issues surrounding assistive technology use and abandonment in an emerging technological culture. Assist Technol Threshold New Millennium 1999;6:413–420.
   Google Scholar
• Payne S. The health of men and women. London: Polity; 2006.
   Google Scholar
• World Health organization. 2008. Gender influences health. Electronic Citation, http://www.genderandhealth.ca/en/modules/introduction/introductiongenderasadeterminantofhealth-Shayna-05.jsp
   Google Scholar
• Fraser C, Plito S. A comparative study of self-efficacy in men and women with multiple sclerosis. J Neurosci Nurs 2007;39:102–106.
   PubMedGoogle Scholar
• Meekosha H. 2004. A feminist/gendered critique of the intersections of race and disability: the Australian experience. University of British Columbia, Vancouver.
   Google Scholar
• Shultz P, Sankaram S. Count me in! Societies that foster belonging improve health. Toronto: Ontario Prevention Clearinghouse; 2006.
   Google Scholar
• Gannotti M, Handwerker W, Groce N, Cruz C. Sociocultural influences on disability status in Puerto Rican children. Phys Ther 2001;81:1512–1523.
   PubMed Web of Science ®Google Scholar
• Fazil Q, Bywaters P. Zoebia A, Wallace Gurnam S. Disadvantage and discrimination compounded: the experience of Pakistani and Bangladeshi parents of disabled children in the UK. Disabil Soc 2002;17:237–253.
   Web of Science ®Google Scholar
• Welterin A, LaRue R. Serving the needs of immigrant families of children with autism. Disabil Soc 2007;22:747–760.
   Google Scholar
• Hubbard S, Fitzgerald S, Reker D, Boninger M, Cooper R, Kazis L. Demographic characteristics of veterans who received wheelchairs and scooters from Veterans Health Administration. J Rehabil Res Develop 2006;43:831–844.
   PubMed Web of Science ®Google Scholar
• Huang I, Sugden D, Beveridge S. Children's perceptions of their use of assistive devices in home and school settings. Disabil Rehabil: Assist Technol 2009;4(2):95–105.
   PubMedGoogle Scholar
• Johnson K, Dudgeon B, Kuehn C, Walker W. Assistive technology use among adolescents and young adults with spina bifida. Am J Publ Health 2007;97:330–336.
   PubMed Web of Science ®Google Scholar
• Louise-Bender P, Kim J, Weiner B. The shaping of individual meanings assigned to assistive technology: a review of personal factors. Disabil Rehabil 2002;24:5–20.
   PubMed Web of Science ®Google Scholar
• Lerner R, Benson B. Developmental assets and asset-building communities. New York: Kluwer Academic; 2003.
   Google Scholar
• Liu J, Probst J, Harun N, Bennet K, Torres M. Acculturation, physical activity and obesity among Hispanic adolescents. Ethnic Health 2009;14:509–525.
   PubMed Web of Science ®Google Scholar
• Schmidt U. Language loss and the ethnic identity of minorities. European Centre for minority issues; Flensburg, 2008.
   Google Scholar
• Steinbeck K, Brodie L, Towns S. Transition in chronic illness: who is going where? J Paediatr Child Health 2008;44:478–482.
   PubMed Web of Science ®Google Scholar
• Phillips B, Zhao H. Predictors of assistive technology abandonment. Assist Technol 1993;5:36–45.
   PubMedGoogle Scholar
• Mann W, Ottenbacher K, Hurren D, Tomita M. Relationship of severity of physical disability to pain and functional status, assistive device use and home-based clients. Home Health Care Manage Pract 1995;8:75–84.
   Google Scholar
• Lindsay S. Perceptions of health care workers prescribing augmentative and alternative communication devices to children. Disabil Rehabil: Assist Technol; 2010 (in press).
   Google Scholar
• Lindsay S. Prioritizing illness: Self-managing multiple chronic diseases. Can J Sociol 2009;34:983–1002.
   Web of Science ®Google Scholar
• Human Resources Development Canada. Advancing the inclusion of people with disabilities. HRDC Gatineau Quebec; 2009.
   Google Scholar
• Zimmer Z, Chappell N. Mobility restriction and the use of devices among seniors. J Aging Health 1994;6(2):185–208.
   Google Scholar
• Norburn J, Bernard S, Konrad T, Woomert A, DeFriese G, Kalsbeek W. Self-care and assistance from others in coping with functional status limitations among a national sample of older adults. J Gerontol: Soc Sci 1995;50B(2), S101–S109.
   Google Scholar
• Zipper I, Simeonsson R. Developmental vulnerability in young children with disabilities. In: M. Fraser, editor. Risk and resilience in childhood: an ecological perspective. Washington, DC: NASW press; 2004, pp. 161–181.
   Google Scholar
• Lindsay S. How and why the motivation and skill to self-manage coronary heart disease are socially unequal. Res Sociol Health Care 2006;26:17–39.
   Google Scholar
• Lindsay S. The influence of childhood poverty on the self-management of heart disease in later life. Res Sociol Health Care 2009;27:161–183.
   Google Scholar
• Bell E, Orpin P. Self management of chronic conditions: implications for rural physicians of a demonstration project down under. Can J Rural Med 2006;11:33–40.
   PubMedGoogle Scholar
• Soubhi H, Fortin M, Hudon C. Perceived conflict in the couple and chronic illness management: preliminary analyses from the Quebec Health Survey. BMC Family Practice 2006;7:59.
   PubMedGoogle Scholar
• Tortolero-Una G, Byrd T, Groff J, Linares A, Mullen P, Cantor S. Relationship between English language use and preferences for involvement in medical care among Hispanic women. J Women's Health 2006;15(6):774–785.
   PubMedGoogle Scholar
• Wright K. Examining racial and ethnic disparities and predictors of medication use among California's African-American, Latino and White children with asthma. J Natl Black Nurses Assoc 2007;18:1–15.
   PubMedGoogle Scholar
• Widding S, Fjeldvik L. Some organizational and social preconditions for successful implementation of enabling technology. Challenges Assist Technol 2007;20:151–156.
   Google Scholar