Sally Lindsay1, Irina Tsybina. 1. Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital. slindsay@hollandbloorview.ca
Abstract
PURPOSE: Despite the importance of ensuring access to assistive technology, high rates of underutilization remain. Relatively little is known about the characteristics of young people reporting unmet needs for assistive devices, so our study examined this further. METHOD: Data were analyzed using the 2006 Participation and Activity Limitation Survey. Youth aged 15-24 were selected to explore the characteristics associated with those currently using or reporting unmet needs for communication or mobility devices (n = 15,817). RESULTS: Family structure and language spoken influenced the likelihood of using a communication device for two age subgroups. Meanwhile, language spoken influenced the likelihood of reporting unmet needs for communication assistive devices. The following factors influenced the likelihood of using a mobility device: age, gender, language spoken, income, family structure, and severity of impairment. Gender, geographic location, language spoken, family structure, duration and severity of impairment and presence of other impairments influenced the likelihood of reporting unmet needs for mobility devices. CONCLUSIONS: Clinicians need to pay particular attention to the socio-cultural factors of young clients transitioning to adult care.
PURPOSE: Despite the importance of ensuring access to assistive technology, high rates of underutilization remain. Relatively little is known about the characteristics of young people reporting unmet needs for assistive devices, so our study examined this further. METHOD: Data were analyzed using the 2006 Participation and Activity Limitation Survey. Youth aged 15-24 were selected to explore the characteristics associated with those currently using or reporting unmet needs for communication or mobility devices (n = 15,817). RESULTS: Family structure and language spoken influenced the likelihood of using a communication device for two age subgroups. Meanwhile, language spoken influenced the likelihood of reporting unmet needs for communication assistive devices. The following factors influenced the likelihood of using a mobility device: age, gender, language spoken, income, family structure, and severity of impairment. Gender, geographic location, language spoken, family structure, duration and severity of impairment and presence of other impairments influenced the likelihood of reporting unmet needs for mobility devices. CONCLUSIONS: Clinicians need to pay particular attention to the socio-cultural factors of young clients transitioning to adult care.