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dc.contributor.authorLenker, James Allen
dc.date.accessioned2016-03-28T19:08:24Z
dc.date.available2016-03-28T19:08:24Z
dc.date.issued2005
dc.identifier.isbn0542125277
dc.identifier.isbn9780542125270
dc.identifier.other305378967
dc.identifier.urihttp://hdl.handle.net/10477/45115
dc.description.abstractThis study explored differences in impact of computer-based assistive technology device (ATD) usage that may be attributed to type of disability, the length of time since acquisition of the device, and six potential covariates. Sixty-two participants were surveyed, representing three disability groups (physical, vision, and learning) and three temporal strata (1, 2, and 3 years since ATD acquisition). Data were collected via in-person interviews that incorporated three tools: the Psychosocial Impact of Assistive Devices Scale; Quebec User Evaluation of Satisfaction with Assistive Technology; and a structured survey. The analyses revealed that the seven functional and psychosocial outcome variables were not statistically different across disability groups or temporal strata. ATD usage for word processing tasks was statistically associated with trial usage opportunity (p = 0.035) and frequency of personal assistance with activities of daily living (p = 0.048). ATD usage for using web-based tasks was statistically associated with trial usage opportunity (p = 0.022). The descriptive summaries of outcome variables provide benchmarks for future studies of computer-based ATD users. Future ATD outcomes research is needed in five areas: (a) specification of treatment intensity and duration; (b) identification of a standard set of predictor variables; (c) development of device-specific outcome measures; (d) improved research methods and analyses; and (e) studies featuring repeated-measures.
dc.languageEnglish
dc.sourceDissertations & Theses @ SUNY Buffalo,ProQuest Dissertations & Theses Global
dc.subjectHealth and environmental sciences
dc.subjectApplied sciences
dc.subjectAssistive technology
dc.subjectDisabilities
dc.titleFunctional and psychosocial impact of computer-based assistive technology for adults with disabilities
dc.typeDissertation/Thesis


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