Increasing the accessibility of available and relevant everyday technologies among older adults in an urban area may increase AE.

Background: Older adults manage increasing numbers of everyday technologies to participate in home and community activities. Purpose: We investigated how assessing use of everyday technologies enhanced predictions of overall needed assistance among urban older adults. Method: We used a cross-sectional design to analyze responses from 114 participants completing the Everyday Technology Use Questionnaire, the Montreal Cognitive Assessment, and a sociodemographic questionnaire. We estimated overall needed assistance based on definitions in the Assessment of Motor and Process Skills. We created logistic regression models and receiver operator characteristic curves to analyze variables predicting overall needed assistance. Findings: With high specificity and sensitivity, the Everyday Technology Use Questionnaire and the Montreal Cognitive Assessment were the strongest predictors of overall needed assistance. Implications: Assessing everyday technology use enhanced predictions of overall needed assistance among urban older adults.

Date Presented 04/05/19 Primary Author and Speaker: Ryan Walsh Additional Authors and Speakers: Jenica Lee, Caniece Leggett, Ruxandra Drasga Contributing Authors: Holly Shapnick, Anders Kottorp