Development and interval testing of a naturalistic driving methodology to evaluate driving behavior in clinical research.

ABSTRACT: Background: The number of older adults in the United States will double by 2056. Additionally, the number of licensed drivers will increase along with extended driving-life expectancy. Motor vehicle crashes are a leading cause of injury and death in older adults. Alzheimer's disease (AD) also negatively impacts driving ability and increases crash risk. Conventional methods to evaluate driving ability are limited in predicting decline among older adults. Innovations in GPS hardware and software can monitor driving behavior in the actual environments people drive in. Commercial off-the-shelf (COTS) devices are affordable, easy to install and capture large volumes of data in real-time. However, adapting these methodologies for research can be challenging. This study sought to adapt a C

SUBMITTER: Babulal GM 

PROVIDER: S-EPMC5063038 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature