TY - JOUR
T1 - Assistive technology use and veterans
T2 - An examination of racial differences between Whites and Blacks using the HAAT model
AU - Clay, Shondra Loggins
AU - Alston, Reginald
N1 - Publisher Copyright:
© 2016 - IOS Press and the authors. All rights reserved.
PY - 2016
Y1 - 2016
N2 - BACKGROUND: Many disability researchers have advocated for the use of assistive technology to enhance quality of life for persons with disabilities. However, it has been documented that minorities and veterans are two groups that underutilize the resource. OBJECTIVE: To use the Human Activity Assistive Technology (HAAT) model to explore assistive technology (AT) use among veterans, specifically examining race, gender, age, socioeconomic determinants (e.g. marital status, educational attainment, employment status, and income), access to health care, general health, and disability status. METHODS: Data were analyzed from the national 2012 Behavioral Risk Factor Surveillance System (BRFSS). Descriptive statistics, chi-square analyses, and multivariate analyses were performed. RESULTS: Black veterans used AT more than White veterans, which was consistent with the predictions that indicated that Black veterans were 1.3 times more likely to use AT (OR = 1.30 CI: 1.20-1.42). However, White veterans who used AT had a higher socioeconomic status compared to Black veterans who used AT. More White veterans were married, had higher educational attainment levels, were employed, and had higher income levels. White veterans also had better health coverage, fewer issues with medical costs and better general health. Whereas all of the predictors of AT use were significant for White veterans, only age (p < 0.001), employment status (p < 0.001), income (p = 0.006), medical costs (p = 0.049), general health (p < 0.001), and limiting disability status (p < 0.001) were significant predictors of AT use for Black veterans. CONCLUSIONS: There are differences in AT use between White and Black veterans based on socioeconomic determinants, access to health care, general health, and disability status. Different predictors and differences in magnitude were observed. Racial differences can partially be explained by components of the HAAT model such as the type of activity that the human is engaging in (e.g. employment) and the context (e.g. the environment).
AB - BACKGROUND: Many disability researchers have advocated for the use of assistive technology to enhance quality of life for persons with disabilities. However, it has been documented that minorities and veterans are two groups that underutilize the resource. OBJECTIVE: To use the Human Activity Assistive Technology (HAAT) model to explore assistive technology (AT) use among veterans, specifically examining race, gender, age, socioeconomic determinants (e.g. marital status, educational attainment, employment status, and income), access to health care, general health, and disability status. METHODS: Data were analyzed from the national 2012 Behavioral Risk Factor Surveillance System (BRFSS). Descriptive statistics, chi-square analyses, and multivariate analyses were performed. RESULTS: Black veterans used AT more than White veterans, which was consistent with the predictions that indicated that Black veterans were 1.3 times more likely to use AT (OR = 1.30 CI: 1.20-1.42). However, White veterans who used AT had a higher socioeconomic status compared to Black veterans who used AT. More White veterans were married, had higher educational attainment levels, were employed, and had higher income levels. White veterans also had better health coverage, fewer issues with medical costs and better general health. Whereas all of the predictors of AT use were significant for White veterans, only age (p < 0.001), employment status (p < 0.001), income (p = 0.006), medical costs (p = 0.049), general health (p < 0.001), and limiting disability status (p < 0.001) were significant predictors of AT use for Black veterans. CONCLUSIONS: There are differences in AT use between White and Black veterans based on socioeconomic determinants, access to health care, general health, and disability status. Different predictors and differences in magnitude were observed. Racial differences can partially be explained by components of the HAAT model such as the type of activity that the human is engaging in (e.g. employment) and the context (e.g. the environment).
KW - Assistive technology
KW - disability disparities
KW - race
KW - socioeconomic status (SES)
KW - veterans
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U2 - 10.3233/JVR-160820
DO - 10.3233/JVR-160820
M3 - Article
AN - SCOPUS:84984620261
SN - 1052-2263
VL - 45
SP - 159
EP - 171
JO - Journal of Vocational Rehabilitation
JF - Journal of Vocational Rehabilitation
IS - 2
ER -