Objective: Online interventions hold promise in supporting the well-being of family caregivers and enhancing the quality of care they provide for individuals with long-term or chronic conditions. However, dropout rates from support programs among specific groups of caregivers, such as caregivers of people with dementia, pose a challenge. Focused reviews are needed to provide more accurate insights and estimates in this specific research area.
Methods: A meta-analysis of dropout rates from available online interventions for family caregivers of people with dementia was conducted to assess treatment acceptability. A systematic search yielded 18 studies involving 1,215 caregivers.
Results: The overall pooled dropout rate was 18.4%, with notable heterogeneity indicating varied intervention adherence. Interventions incorporating human contact, interactive features, and personalization strategies for specific types and stages of dementia predicted significantly lower dropout rates. Methodological assessment revealed variability in study quality.
Conclusion: Findings support the effectiveness of social support, personalization strategies, and co-design in enhancing intervention adherence among dementia family caregivers. Further research is needed to explore factors influencing dropout rates and conduct robust trials to refine the implementation of future interventions.
Keywords: Dementia; adherence; dropout rates; e-health; family caregivers; implementation; meta-analysis; online interventions.
Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.