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The goal of the proposed intervention, called LEAF (Life Enhancing Activities for Family Caregivers) is to reduce burden and increase well-being in Alzheimer's Disease caregivers through the practice of positive emotion skills. We will employ two methods of online delivery of LEAF: a Zoom facilitated version and a self-guided version, and compare them to an emotion-reporting waitlist control condition. If effective, the LEAF program can be disseminated more broadly to caregivers of individuals with Alzheimer's disease.
Full description
LEAF 2.0 is a 3-arm, technology-based, randomized controlled trial (N = 500) in which family caregivers of patients with Alzheimer's Disease (AD) are randomly assigned to 1) the LEAF intervention facilitated remotely via Zoom (N = 200), 2) the LEAF intervention self-guided online (N = 200), or 3) an emotion reporting control (N = 100) which will then cross over to the intervention after approximately 7 months, half to the facilitated arm and half to the self-guided arm. Participants will complete a program that teaches them eight positive emotion skills which aim to reduce stress and burden, and increase positive affect. All aspects of the study (recruitment, consent, intervention, and assessments) are conducted online.
To be eligible for participation in LEAF 2.0, participants must identify as the primary family caregiver of someone with Alzheimer's disease or Alzheimer's-related dementia, and whose care recipient is not living in a care facility at the time of enrollment. "Primary family caregiver" is defined as the person who spends the most time caring for the individual with Alzheimer's disease in a non-professional capacity. Participants must also be able to speak and read English, live in the United States, be at least 18 years of age, and have access to a reliable Wi-Fi connection. Respondents are ineligible if they have already participated in a prior version of LEAF.
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386 participants in 3 patient groups
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Amanda Summers, MA; Caroline Leong
Data sourced from clinicaltrials.gov
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