Multiphase optimization of a multicomponent intervention for informal dementia caregivers: a study protocol

Area of Science:

• Gerontology
• Psychology
• Public Health

Background:

• Family caregiver interventions are crucial for supporting individuals with dementia.
• These interventions are often complex, making it difficult to determine the impact of individual components.
• Optimizing interventions requires understanding the effectiveness and interactions of each component.

Purpose of the Study:

• To adopt the multiphase optimization strategy (MOST) to evaluate dementia caregiver interventions.
• To test implementation fidelity and determine the effect of individual intervention components and their interactions.
• To identify the most effective combination of intervention components for family dementia caregivers.

Main Methods:

• A prospective, assessor-blinded, randomized clinical trial using a fractional factorial design based on MOST principles.
• 250 family dementia caregivers were randomized into 16 experimental conditions, testing six intervention components.
• Outcomes including physical health, caregiver burden, stress, psychological well-being, anxiety, depressive symptoms, and social support were assessed over 12 months.

Main Results:

• Analysis will use linear mixed models and regression to examine the specific effects of five components and their two-way interactions.
• The study aims to identify which components significantly impact caregiver outcomes.
• The most effective combination of intervention components will be proposed based on the results.

Conclusions:

• This is the first study to use MOST to identify active components in psychological interventions for dementia caregivers.
• Understanding component effectiveness is vital for maximizing intervention efficacy and optimizing delivery.
• Optimized caregiver support interventions can enhance health outcomes for both caregivers and care recipients, potentially delaying institutionalization and reducing long-term care costs.