Ilunga Tshiswaka Daudet, Loggins Clay Shondra, Chiu Chung-Yi, Alston Reginald, Lewis Allen
a Department of Kinesiology and Community Health , University of Illinois at Urbana-Champaign , Urbana , IL , USA and.
b Department of Health Sciences , James Madison University , Harrisonburg , VA , USA.
Disabil Rehabil Assist Technol. 2016 Feb;11(2):124-132. doi: 10.3109/17483107.2015.1090487. Epub 2015 Sep 28.
To examine the relationships among Assistive Technology (AT) use, race, type of disability and selected other demographic characteristics.
Using 2009 National Health Interview Survey, descriptive statistics, statistical interactions and binary logistic regression were performed to identify, contrast and predict the likelihood of using AT based on the type of disability among African Americans (AAs) and European Americans (EAs).
We found that more AAs (10% within group proportion of total AAs) used AT compared to EAs (7.5% within group proportion of total EAs). Physical (p < 0.001), auditory (p = 0.028) and emotional (p = 0.008) impairments were statistically significant predictors of AT use. However, physical impairment as a predictor of AT use was greater among AAs (OR = 222.49, CI: 64.04-773.04, p < 0.001) than EAs (OR = 50.77, CI: 31.78-81.12, p < 0.001). EAs had a greater number of disabling conditions that predict the use of AT than AAs, whereas AAs had more demographic characteristics beyond race that predict AT use than EAs.
Disparities were observed in AT usage by disability types and demographic characteristics between AAs and EAs. Moreover, the predictive strength of AT usage based on disability types and other demographic variables differed by races. Overall, the findings about the different relationships among race, disability type, and AT use are found. Implications for Rehabilitation The finding may inform the development of initiatives by rehabilitation leaders to encourage the use of AT by AAs and EAs according to their type of impairment. Having identified physical impairment as statistically significant predictor of AT use greater among AAs, rehabilitation leaders should ensure that people living with those types of disability have access to the corresponding type of AT and can use them effectively.
研究辅助技术（AT）的使用、种族、残疾类型及其他选定人口统计学特征之间的关系。
利用2009年美国国家健康访谈调查，进行描述性统计、统计交互分析和二元逻辑回归，以识别、对比并预测非裔美国人（AAs）和欧裔美国人（EAs）中基于残疾类型使用AT的可能性。
我们发现，与欧裔美国人（7.5%，占欧裔美国人总数的组内比例）相比，更多非裔美国人（10%，占非裔美国人总数的组内比例）使用AT。身体（p < 0.001）、听觉（p = 0.028）和情感（p = 0.008）障碍是AT使用的统计学显著预测因素。然而，作为AT使用预测因素的身体障碍在非裔美国人中（OR = 222.49，CI：64.04 - 773.04，p < 0.001）比在欧裔美国人中（OR = 50.77，CI：31.78 - 81.12，p < 0.001）更强。欧裔美国人比非裔美国人有更多预测AT使用的致残状况，而非裔美国人比欧裔美国人有更多种族以外预测AT使用的人口统计学特征。
在非裔美国人和欧裔美国人之间，观察到AT使用在残疾类型和人口统计学特征方面存在差异。此外，基于残疾类型和其他人口统计学变量的AT使用预测强度因种族而异。总体而言，发现了关于种族、残疾类型和AT使用之间不同关系的结果。对康复的启示 这一发现可能为康复领域的领导者制定倡议提供参考，以鼓励非裔美国人和欧裔美国人根据其损伤类型使用AT。鉴于已确定身体障碍在非裔美国人中是AT使用的统计学显著更强预测因素，康复领域的领导者应确保患有这些残疾类型的人能够获得相应类型的AT并能有效使用它们。
