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Process evaluation of a digital health intervention for dementia caregivers: Integrating active and passive
Kang Shen1, Y Alicia Hong1, Yixuan Janice Zhang2
1Department of Health Administration and Policy, George Mason University, Fairfax, Virginia, USA.
Introduction:
Research is limited on process evaluation of digital interventions for underserved dementia caregivers. This study reports the design and results from the process evaluation of Wellness Enhancement for Caregivers (WECARE) 2.0, a culturally tailored digital intervention for Chinese American dementia caregivers.
Methods:
During the 7-week trial of WECARE 2.0, active measurement via weekly surveys and passive measurement via backend tracking were used to assess user engagement, collect timely feedback, and understand intervention mechanisms. These data were integrated to provide complementary insights.
Results:
The intervention achieved a 94% follow-up rate and 82% program completion rate. Participants valued the culturally tailored multimedia content, practical resources, and asynchronous delivery, while also providing suggestions for improvement. Key mechanisms driving the intervention's success included improved caregiving skills, stress reduction, and increased social support.
Discussion:
The study underscores the importance of process evaluation using mixed methods to ensure the usability and effectiveness of digital interventions for underserved dementia caregivers.
Clinicaltrials Id:
NCT05992467 HIGHLIGHTS: Process evaluation was conducted in a digital intervention for dementia caregivers. Active and passive measurement were integrated in the process evaluation. Wellness Enhancement for Caregivers (WECARE) demonstrated high retention (94%) and program completion rates (82%). Data on user experiences, feedback, and intervention mechanisms were presented.
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