2526 Web-based compassion interventions for family caregivers’ mental well-being

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Abstract Introduction The ageing population has increased the demand for family caregivers, who often suffer from psychological distress, especially compassion fatigue. This systematic review and meta-analysis evaluate the effectiveness of web-based compassion interventions in improving the mental well-being of family caregivers. Methods MEDLINE, Embase, PsycINFO, Web of Science, Cochrane Library, and Proquest were searched from database inception until manuscript submission date. Eligible studies included family caregivers participating in web-based compassionate interventions with reported mental wellness indicators, such as self-compassion. Two independent researchers conducted a literature review, extracted data, and assessed the quality of each study using the Risk of Bias 2 tool. Random effects meta-analysis was performed to pool the data, followed by subgroup analyses, sensitivity analyses and Egger’s tests. Results Out of 1095 studies evaluated, eight randomised controlled trials (encompassing 1978 participants) were included, with 75% exhibiting low risk of bias and high-quality evidence. Meta-analysis results indicated positive effects of web-based compassion interventions on family caregivers’ self-compassion (SMD = 0.33, 95% CI 0.08 to 0.58, P = 0.009) and mindfulness (SMD = 0.46, 95% CI 0.03 to 0.90, P = 0.04). These interventions also demonstrated a positive impact on reducing stress (SMD: -0.32, 95% CI -0.59 to −0.04, P = 0.02) and anxiety (SMD: -0.28, 95% CI -0.47 to −0.09, P = 0.003). Subgroup analyses highlighted superior self-compassion outcomes for caregivers supporting individuals with mental illness and cancer compared to those caring for individuals with Alzheimer’s disease. Interventions lasting ≥8 weeks were the most common and effective. Conclusions Web-based compassion interventions benefit family caregivers by enhancing self-compassion, mindfulness, and reducing anxiety and stress. More well-designed studies are suggested for future clinical applications.