Assistive technology use by disability type and race: exploration of a population-based health survey

References

• Hersh MA, Johnson MA. On modelling assistive technology systems – part I: modelling framework. Technol Disabil. 2008;20:193–215.
   Google Scholar
• ATAP. Association of Assistive Technology Act Programs. Springfield (IL): Governmental Relations Partners; 2015. Available from: http://www.ataporg.org/contact.html [last accessed 19 Mar 2015].
   Google Scholar
• Agree EM, Freedman VA. A comparison of assistive technology and personal care in alleviating disability and unmet need. The Gerontologist. 2003;43:335–344.
   PubMed Web of Science ®Google Scholar
• Agree EM. The potential for technology to enhance independence for those aging with a disability. Disabil Health J. 2014;7:S33–S39.
   PubMed Web of Science ®Google Scholar
• Scherer MJ. Outcomes of assistive technology use on quality of life. Disabil Rehabil. 1996;18:439–448.
   PubMed Web of Science ®Google Scholar
• World Health Organization. International classification of functioning, disability and health. Geneva: World Health Organization; 2011.
   Google Scholar
• Campbell PH, Milbourne S, Dugan LM, et al. A review of evidence on practices for teaching young children to use assistive technology devices. Top Early Childhood Spec Educ. 2006;26:3–13.
   Web of Science ®Google Scholar
• Courtney-Long EA, Carroll DD, Zhang QC, et al. Prevalence of disability and disability type among adults – United States, 2013. Morbidity and Mortality Weekly Report (MMWR). Washington, DC: Morbidity and Mortality Weekly Report (MMWR); 2013. Available from: http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6429a2.htm [last accessed 19 Mar 2015].
   Google Scholar
• Brault MW. Disability among the working age population: 2008 and 2009. Washington, DC: US Census Bureau, American Community Survey; 2010. Available from: https://www.census.gov/prod/2010pubs/acsbr09-12.pdf [last accessed 19 Mar 2015].
   Google Scholar
• National Center for Health Statistics. Trends and differential use of assistive technology devices: United States, 1994. Atlanta (GA): US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics; 1997.
   Google Scholar
• Hedrick B, Pape T, Heinemann AW, et al. Employment issues and assistive technology use for persons with spinal cord injury. J Rehabil Res Dev. 2006;43:185
   PubMed Web of Science ®Google Scholar
• Koester H, Simpson R, Mankowski J. Software wizards to adjust keyboard and mouse settings for people with physical impairments. J Spinal Cord Med. 2013;36:300–312.
   PubMed Web of Science ®Google Scholar
• Chiu C-Y, Tansey TN, Chan F, et al. Effect of rehabilitation technology services on vocational rehabilitation outcomes of individuals with multiple sclerosis. Rehabil Res Policy Educ. 2015;29:183–192.
   Web of Science ®Google Scholar
• Chiu C-Y, Sharpb S, Pfallerb J, et al. Differential vocational rehabilitation service patterns related to the job retention and job placement needs of people with diabetes. J Vocat Rehab. 2015;42:177–185.
   Google Scholar
• Cook AM, Polgar JM. Cook and Hussey's assistive technologies: principles and practice. St Louis (MO): Elsevier Health Sciences; 2013.
   Google Scholar
• Bryant BR, Seay PC. The technology-related assistance to individuals with disabilities act: relevance to individuals with learning disabilities and their advocates. J Learn Disabil. 1998;31:4–15.
   PubMed Web of Science ®Google Scholar
• Loggins S, Alston R, Lewis A. Utilization of assistive technology by persons with physical disabilities: an examination of predictive factors by race. Disabil Rehabil Assist Technol. 2013;9:487–492.
   PubMedGoogle Scholar
• Cornman JC, Freedman VA. Racial and ethnic disparities in mobility device use in late life. J Gerontol B Psychol Sci Soc Sci. 2008;63:S34–S41.
   PubMed Web of Science ®Google Scholar
• Tomita MR, Mann WC, Fraas LF, et al. Racial differences of frail elders in assistive technology. Assist Technol. 1997;9:140–151.
   PubMedGoogle Scholar
• Alston R, Lewis A, Loggins S. Assistive technology and veterans with severe disabilities: examining the relationships among race, personal factors, medical support, income support, and use. Med Care. 2014;52:S17–S24.
   PubMedGoogle Scholar
• National Health Interview Survey [Internet]. CDC. 2009; [cited 2015 Mar 19] Available from: http://www.cdc.gov/nchs/nhis/nhis_2009_data_release.htm.
   Google Scholar
• CDC. National Health Insurance Survey. Atlanta (GA): CDC; 2012. Available from: http://www.cdc.gov/nchs/nhis/about_nhis.htm [last accessed 14 Jul 2014].
   Google Scholar
• Reed M, Kaye S, Yeager P. Assistive technoligy and racial/ethnic minorities [Internet]. 2005. Available from: https://abilitytools.org/about/docs/AT%20Race%20Data%20FINAL.pdf [cited 2015 Mar 19].
   Google Scholar
• Karmarkar AM, Dicianno BE, Cooper R, et al. Demographic profile of older adults using wheeled mobility devices. J Aging Res. 2011;2011:560358.
   PubMedGoogle Scholar
• Kaye HS, 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
• Simsek TT, Yümin ET, Sertel M, et al. Assistive device usage in elderly people and evaluation of mobility level. Top Geriatr Rehabil. 2012;28:190–194.
   Web of Science ®Google Scholar
• Carrasquillo O, Lantigua RA, Shea S. Differences in functional status of Hispanic versus non-Hispanic White elders: data from the Medical Expenditure Panel Survey. J Aging Health. 2000;12:342–361.
   PubMed Web of Science ®Google Scholar
• Kachan D, Fleming LE, LeBlanc WG, et al. Worker populations at risk for work-related injuries across the life course. Am J Indus Med. 2012;55:361–366.
   PubMed Web of Science ®Google Scholar
• Martin LG, Schoeni RF, Freedman VA, et al. Feeling better? Trends in general health status. J Gerontol B Psychol Sci Soc Sci. 2007;62:S11–S21.
   PubMed Web of Science ®Google Scholar
• Muurinen SM, Soini HH, Suominen MH, et al. Vision impairment and nutritional status among older assisted living residents. Arch Gerontol Geriatr. 2014;58:384–387.
   PubMed Web of Science ®Google Scholar
• Lyman O, Longnecker M. An introduction to statistical methods and data analysis. Boston (MA): PWS-Kent; 1988.
   Google Scholar
• Czajka JM, DeNisi AS. Effects of emotional disability and clear performance standards on performance ratings. Acad Manage J. 1988;31:394–404.
   Web of Science ®Google Scholar
• Krishnan K, Hays JC, Blazer DG. MRI-defined vascular depression. Am J Psychiatry. 1997;154:497–501.
   PubMed Web of Science ®Google Scholar
• Brault MW. Americans with disabilities: 2010. Current Population Reports. U.S. Census Bureau. 2012:70–131 [cited 2015 Mar 19]. Available from: http://www.census.gov/prod/2012pubs/p70-131.pdf.
   Google Scholar
• Erickson W, Lee C, Von Schrader S. Disability Statistics from the 2012 American Community Survey (ACS). Ithaca, NY: Cornell University Employment and Disability Institute (EDI). 2014 [cited 2015 Mar 19]. Available from: www.disabilitystatistics.org.
   Google Scholar
• Freedman VA, Martin LG, Cornman J, et al. Trends in assistance with daily activities: racial/ethnic and social economic disparities persist in the U.S. older population. 2005 [cited 2015 Mar 19]. Available from: http://www.psc.isr.umich.edu/pubs/pdf/tr05-2.pdf.
   Google Scholar
• Guzman A, Ostrander N. Hispanic's awareness of assistive technology. Assist Technol. 2009;21:28–34.
   PubMed Web of Science ®Google Scholar
• Balcazar EF, Suarez-Balcazar Y, Taylor-Ritzler T. Cultural competence: development of a conceptual framework. Disabil Rehabil. 2009;31:1153–1160.
   PubMed Web of Science ®Google Scholar
• Middleton RA, Rollins CW, Sanderson PL, et al. Endorsement of professional multicultural rehabilitation competencies and standards: a call to action. Rehabil Counsel Bullet. 2000;3:219–240.
   Web of Science ®Google Scholar