Study protocol for "In-vehicle sensors to detect changes in cognition of older drivers".

BACKGROUND: Driving is a complex behavior that may be affected by early changes in the cognition of older individuals. Early changes in driving behavior may include driving more slowly, making fewer and shorter trips, and errors related to inadequate anticipation of situations. Sensor systems installed in older drivers' vehicles may detect these changes and may generate early warnings of possible changes in cognition. METHOD: A naturalistic longitudinal design is employed to obtain continuous information on driving behavior that will be compared with the results of extensive cognitive testing conducted every 3 months for 3 years. A driver facing camera, forward facing camera, and telematics unit are installed in the vehicle and data downloaded every 3 months when the cognitive tests are administered. RESULTS: Data processing and analysis will proceed through a series of steps including data normalization, adding information on external factors (weather, traffic conditions), and identifying critical features (variables). Traditional prediction modeling results will be compared with Recurring Neural Network (RNN) approach to produce Driver Behavior Indices (DBIs), and algorithms to classify drivers within age, gender, ethnic group membership, and other potential group characteristics. CONCLUSION: It is well established that individuals with progressive dementias are eventually unable to drive safely, yet many remain unaware of their cognitive decrements. Current screening and evaluation services can test only a small number of individuals with cognitive concerns, missing many who need to know if they require treatment. Given the increasing number of sensors being installed in passenger vehicles and pick-up trucks and their increasing acceptability, reconfigured in-vehicle sensing systems could provide widespread, low-cost early warnings of cognitive decline to the large number of older drivers on the road in the U.S. The proposed testing and evaluation of a readily and rapidly available, unobtrusive in-vehicle sensing system could provide the first step toward future widespread, low-cost early warnings of cognitive change for this large number of older drivers in the U.S. and elsewhere.

Digital Health Information Disparities in Older Adults: a Mixed Methods Study.

Important health information including disease prevention and chronic disease self-management is increasingly packaged for digital use. The purpose of this sequential explanatory mixed methods study was to describe the extent of computer ownership, Internet access, and digital health information use in an ethnically diverse sample of older adults, comparing ownership, access, and use of digital health information (DHI) across ethnic groups and identifying the factors associated with them quantitatively. Significant differences in computer ownership, Internet access, and DHI use were found across ethnic groups (African American, Afro-Caribbean, Hispanic American, and European American). Logistic regression identified older age, less education, lower income, and minority group membership as significant predictors of limited DHI use. Older African Americans were one-fifth as likely to own a computer than were European Americans; Hispanic Americans were one-half as likely to have access to the Internet. We then conducted a series of focus groups which highlighted differences across ethnic groups. Participants in the African American/Afro-Caribbean group expressed frustration with lack of access to DHI but appreciation for alternative sources of information. Hispanic Americans critiqued information received from providers and drug inserts, some suggesting that a positive attitude and trust in God also contributed to getting well. European American participants evaluated various DHI websites, looking to providers for help in applying information to their personal situation. As the development and use of DHI continue, parallel efforts to increase access to DHI among economically disadvantaged and minority older adults are critical to prevent further disfranchisement.