Internet Access and Usage among Stroke Survivors and their Informal Caregivers (Preprint)
BACKGROUND Web-based interventions have shown promise for chronic disease management, but have not been widely applied to stroke populations. Barriers exist that may inhibit the adoption of web-based interventions in stroke survivors and necessitate informal caregiver involvement. However, limited information is known about internet accessibility and usability in stroke survivors and their caregivers. The purpose was to investigate internet access and usage in stroke survivors and their caregivers. OBJECTIVE To investigate internet access and usage in a cohort of stroke survivors and caregivers of stroke survivors. METHODS A cross-sectional survey of 375 participants (stroke survivors, 248; caregivers, 127). Descriptive statistics were generated through cross-tabulations. Comparisons with categorical data were conducted with the chi-square test, while Mann-Whitney U test was used for comparisons involving ordinal variables. RESULTS Eighty-five percent of the participants reported internet access. Caregivers were more likely than stroke survivors to access the internet X2 (1, N = 375) = 18.5, p < .001 and use text messaging X2 (1, N = 321) = 14.74, p < .001. Stroke survivors and caregivers with internet access were younger than stroke survivors and caregivers without internet access. The highest number of participants who reported internet access were Non-Hispanic Whites. Smart phones were the most common device used to access the Internet. Email was the most common type of internet usage reported. The number of stroke survivors with internet access was higher in survivors more than12 months compared to survivors less than 3 months (p < .001) after the stroke event. The number of hours per week spent using the Internet was higher for caregivers than stroke survivors (p < .001). CONCLUSIONS Future feasibility and acceptability studies should consider the role of the informal caregiver, participant age, race and ethnicity, the use of smartphone applications, email and text correspondence, and the amount of time since the stroke event in the design and implementation of web-based interventions for stroke populations.