Heather Fritz1,2, Wassim Tarraf1,2, Dan J Saleh3, Malcolm P Cutchin1. 1. Department of Health Care Sciences. 2. Institute of Gerontology. 3. Department of Psychology, College of Liberal Arts and Sciences, Wayne State University, Detroit, Michigan.
Abstract
OBJECTIVES: Little is known about the feasibility of smartphone-based Ecological Momentary Assessment (EMA) approaches to collect psychosocial data from older populations, especially disadvantaged older populations. In response to this gap, this report provides evidence of the feasibility and utility of a smartphone-based EMA approach for real-time assessment with older African Americans. In addition, we share lessons learned about how to improve utility. METHODS: Ninety-seven older African Americans ages 55 and older (range: 55-95 years) used an Android smartphone loaded with an EMA application to provide data about their everyday activities and stress four times per day for seven consecutive days. RESULTS: Exit interviews early in the study suggested enhancements to the EMA interface. Adherence was demonstrated with response completion rates of 92-98% on EMA measures and no participant attrition based on the EMA protocol. DISCUSSION: Our findings suggest using a smartphone-based EMA approach for data collection is feasible and has utility with older African Americans. We most likely enhanced adherence by testing, training, monitoring, and adapting the EMA protocol using input from older adults early in the EMA design process.
OBJECTIVES: Little is known about the feasibility of smartphone-based Ecological Momentary Assessment (EMA) approaches to collect psychosocial data from older populations, especially disadvantaged older populations. In response to this gap, this report provides evidence of the feasibility and utility of a smartphone-based EMA approach for real-time assessment with older African Americans. In addition, we share lessons learned about how to improve utility. METHODS: Ninety-seven older African Americans ages 55 and older (range: 55-95 years) used an Android smartphone loaded with an EMA application to provide data about their everyday activities and stress four times per day for seven consecutive days. RESULTS: Exit interviews early in the study suggested enhancements to the EMA interface. Adherence was demonstrated with response completion rates of 92-98% on EMA measures and no participant attrition based on the EMA protocol. DISCUSSION: Our findings suggest using a smartphone-based EMA approach for data collection is feasible and has utility with older African Americans. We most likely enhanced adherence by testing, training, monitoring, and adapting the EMA protocol using input from older adults early in the EMA design process.
Authors: Amy J Schulz; Graciela Mentz; Laurie Lachance; Jonetta Johnson; Causandra Gaines; Barbara A Israel Journal: Am J Public Health Date: 2012-02-16 Impact factor: 9.308
Authors: Letha A Chadiha; Olivia G M Washington; Peter A Lichtenberg; Carmen R Green; Karen L Daniels; James S Jackson Journal: Gerontologist Date: 2011-06
Authors: John Bellettiere; Jordan A Carlson; Dori Rosenberg; Anant Singhania; Loki Natarajan; Vincent Berardi; Andrea Z LaCroix; Dorothy D Sears; Kevin Moran; Katie Crist; Jacqueline Kerr Journal: PLoS One Date: 2015-08-21 Impact factor: 3.240
Authors: Samantha E John; Sarah A Evans; Bona Kim; Petek Ozgul; David W Loring; Monica Parker; James J Lah; Allan I Levey; Felicia C Goldstein Journal: Neuropsychol Dev Cogn B Aging Neuropsychol Cogn Date: 2021-08-12
Authors: Steriani Elavsky; Adam Klocek; Lenka Knapova; Martina Smahelova; David Smahel; Richard Cimler; Jitka Kuhnova Journal: JMIR Aging Date: 2021-11-10
Authors: Varsha D Badal; Ellen E Lee; Rebecca Daly; Emma M Parrish; Ho-Cheol Kim; Dilip V Jeste; Colin A Depp Journal: Front Digit Health Date: 2022-02-07