| Literature DB >> 34382482 |
Samantha E John1, Sarah A Evans2, Bona Kim3, Petek Ozgul4, David W Loring3, Monica Parker3, James J Lah3,4, Allan I Levey3,4, Felicia C Goldstein3,4.
Abstract
Inclusion of Black participants in clinical research is a national priority. Mobile applications and remote data collection may increase study access for diverse populations. This study examined the reliability and feasibility of two mobile smartphone application-based cognitive measures in a diverse middle aged and older adult sample. Black (n = 44; Mage = 59.93) and non-Hispanic white (NHW; n = 50; Mage = 61.06) participants completed traditional paper-based neuropsychological testing and two app-based measures, Arrows and Number Match. Intraclass correlations demonstrated poor to moderate reliability (range: .417-.569) between performance on the app-based versions and performance on the traditional versions. Performance score differences by racial group were not statistically significant. Both Black and NHW participants rated the app-based measures as feasible and acceptable, though Black participants endorsed a stronger likelihood of future use. These findings add to the growing literature on remote cognitive testing .Entities:
Keywords: Remote neuropsychological assessment; black; feasibility; non-Hispanic white; reliability; smartphone application
Year: 2021 PMID: 34382482 PMCID: PMC8837703 DOI: 10.1080/13825585.2021.1962790
Source DB: PubMed Journal: Neuropsychol Dev Cogn B Aging Neuropsychol Cogn ISSN: 1382-5585