http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Collecting ecological momentary assessments from older adults
lessons learned from the social environment and cognitive health in urban and rural areas study
In this case study, I highlight lessons learned from the Social Environment and Cognitive Health in Urban and Rural Areas (SECHURA) study, a longitudinal study assessing cognitive aging among 510 older adults. A central component of the study was the implementation of ecological momentary assessments (EMAs) that captured real-time data on participants' daily social interactions, activities, and environments via smartphone technology. While this methodology offers unique advantages, it also presents distinct logistical and practical challenges. This case study details the methodological considerations involved in deploying EMAs in a population-based sample of older adults, from pilot testing and participant onboarding to addressing unforeseen technological disruptions during fieldwork. Specific challenges included ambiguous survey wording, compliance issues, and technological complications. The study also highlights solutions such as supplying participants with instructional videos, real-time monitoring of participant compliance, and troubleshooting procedures. By reading this case study, researchers will gain insights into designing EMA protocols that prioritize clarity, feasibility, and participant engagement. Readers will learn how to anticipate and adapt to field-based challenges in real time to preserve data quality and participant trust. This case study offers practical guidance for any researcher considering EMAs, especially those working with aging populations.