A pilot randomized controlled trial published April 7, 2026 in JMIR mHealth and uHealth found that an app-based program using caregiver-logged behavior data to generate individualized nonpharmacological recommendations, such as music, exercise, or reminiscence activities, was linked to improvements in behavioral and psychological symptoms of dementia (BPSD) compared with a control condition. The study, led by Eunhee Cho and colleagues at Yonsei University's College of Nursing in Seoul, randomized 36 caregiver-and-patient dyads; 33 were included in the final analysis after assessments at baseline, immediately after the intervention, and at a two-week follow-up.

BPSD are common across dementia types and include agitation, aggression, wandering, delusions, hallucinations, depression, and disrupted sleep. Current clinical guidelines recommend nonpharmacological approaches as first-line treatment, but researchers note that community caregivers often lack access to individualized programs, which have historically depended on institutional settings or clinician-led delivery. The app tested in this trial was designed to be caregiver-initiated: caregivers logged behaviors, and the app used that data to suggest activities tailored to the person's preferences and functional abilities. The trial's primary outcome was overall BPSD severity; secondary outcomes included nighttime sleep efficiency and caregiver competency in managing BPSD.

The researchers reported reductions in BPSD overall, agitation, and depressive symptoms, along with gains in nighttime sleep efficiency and caregiver competency scores in the intervention group relative to controls, according to the published abstract. As a pilot study with a small sample, the trial was designed primarily to establish feasibility and generate preliminary effect estimates rather than to provide definitive proof of clinical benefit, and the authors describe it as a foundation for larger confirmatory trials.