Authors
Alan B Stevens, Jinmyoung Cho, Thomas Birchfield, Jordan Reese, Gang Han, Jennifer L Thorud, Marcia G Ory
Published in
Alzheimer's & dementia : the journal of the Alzheimer's Association. Volume 21. Issue 10. Pages e70690.
Abstract
Digital technologies can increase the accessibility of evidence-based caregiver programs.
A 6-month, phase I, exploratory, randomized-controlled trial of two dementia caregiver support platforms, GamePlan4Care (GP4C) and Resources4Care (R4C), each enrolling 120 community-based family caregivers. Outcome measures included burden, positive aspects of caregiving, social support, and depression.
Caregivers showed significant follow-up improvements in burden (GP4C: effect size [ES] = 0.50, p < 0.001; R4C: ES = 0.47, p < 0.001), positive aspects of caregiving (GP4C: ES = 0.26, p = 0.022; R4C: ES = 0.23, p = 0.030), social support (GP4C: ES = 0.21, p = 0.035), and distress (GP4C: ES = 0.30, p = 0.010). Caregivers engaged more in GP4C (GP4C: mean 5.5 h, SD = 0.61; R4C: mean 1.9 h, SD = 0.20) and set more goals for the safety domain (mean 8.9 goals, SD = 7.60).
GP4C was not superior to R4C; however, both platforms demonstrated improved outcomes. Findings highlight a health system's successful development and implementation of online dementia caregiver platforms. Improving digital technology for caregivers requires studies with larger populations and longitudinal outcomes.
ClinicalTrials.gov Identifier: NCT04540198 HIGHLIGHTS: Online platforms can be useful in the goal of supporting family caregivers with educational and skills-training material to reduce the negative consequences of caregiving and to improve positive feelings of caregiving. Rules-based conditional logic was successfully integrated into a Web-based platform to tailor evidence-based strategies to an individual's unique caregiving context and needs. Health systems are in an ideal position to adopt online technologies that provide education, skills training, and support for family caregivers of persons living with dementia.
PMID:
41085219
Bibliographic data and abstract were imported from PubMed on 14 Oct 2025.
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