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Effectiveness of eHealth Interventions in Alleviating Burden on Informal Caregivers of People With Dementia: Systematic Review and Meta-Analysis of Randomized Controlled Trials.
This systematic review and meta-analysis pooled randomized trials testing interactive eHealth programs for informal caregivers of people with dementia. Ac…
Signal score47Research triage score
CertaintyModerateVerify in full text
PMID42235069Source identifier
Research triage, not medical advice
Do not use this summary, score, or benefit-cost estimate to diagnose, treat, prescribe, or change care without reviewing the full study and consulting qualified professionals.
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Plain-English signal
This systematic review and meta-analysis pooled randomized trials testing interactive eHealth programs for informal caregivers of people with dementia. Across 35 trials including 3,388 caregivers, eHealth programs on average reduced caregiver burden and depressive symptoms a little, but effects varied widely between studies. Some evidence suggests shorter programs, mobile-based delivery, and human-supported interventions may work better, and benefits tended to be smaller in older caregivers. The certainty of the evidence was rated moderate; results mean eHealth can help some caregivers but real-world impact depends on program design and the people using it.
Why it matters
- Addresses effectiveness of scalable eHealth interventions targeted at informal caregivers of people with dementia, a population with high psychological burden and limited access to in-person support.
- Reports pooled effects on caregiver burden and depressive symptoms-key outcomes for caregiver wellbeing and potential targets for health system or community support programs.
- Explores moderators (delivery modality, human support, duration, caregiver age) that could inform design choices for digital interventions and implementation strategies.
Primary outcomes
- Caregiver burden
- Depressive symptoms
Effect summary
Pooled randomized trials (k=35 for burden; k=23 for depressive symptoms) showed modest statistically significant reductions: caregiver burden SMD -0.26 (95% CI -0.42 to -0.10) and depressive symptoms SMD -0.27 (95% CI -0.53 to -0.01). Wide 95% prediction intervals (burden PI -1.10 to 0.58; depression PI -1.45 to 0.91) indicate substantial between-study heterogeneity and variable likely effects in new settings. Subgroup signals favored short-term (≤8 weeks), human-supported, and mobile-based interventions; caregiver age may moderate effectiveness.
Benefit-cost lens
| Quick take | Provides evidence of modest average benefits of eHealth for caregiver burden and depressive symptoms, but wide prediction intervals and between-study heterogeneity mean real-world value will vary by context; do not use as sole basis for broad implementation without local cost-effectiveness and feasibility data. |
|---|---|
| BCR anchor | 1 |
| Time horizon | 3 |
| Discount rate | 0.03 |
| Assumptions | Assessment based on PubMed metadata and abstract only; full text needed to verify outcome measures, timepoints, adverse events, intervention components, and cost inputs before any benefit-cost modelling. |
Benefit-cost fields are assumptions-based unless explicitly source-derived. Treat them as prompts for deeper economic review.
Risk of bias
| Tool | rapid-abstract-screen |
|---|---|
| Verdict | Some concerns / moderate uncertainty |
| Notes | Assessment based only on the abstract: authors report risk-of-bias assessment and sensitivity analysis of 27 high-quality studies that yielded similar effects, and used random-effects models with Hartung-Knapp adjustment. However, abstract does not provide full details on study-level biases, outcome measurement heterogeneity, selective reporting, or harms; full-text review needed for formal ROB and GRADE confirmation. |
Harms, equity, conflicts & implementation
| Implementation | Full-text review to extract intervention components, duration, human support level, fidelity monitoring, and outcome measurement timing; local needs assessment for digital access, staff for human support, training, privacy/compliance, and cost modelling. |
|---|---|
| Equity impact | Unclear from abstract. Digital delivery may improve access for some but exacerbate disparities for caregivers with limited digital literacy, device access, or language support; subgroup data needed. |
| Harms | No harms or adverse effects reported in abstract; harms and unintended consequences (e.g., increased burden from technology use, privacy concerns) require full-text verification. |
| Replication | Unknown from automated PubMed triage; this review aggregates prior RCTs but external replication of pooled effects in new pragmatic settings is needed. |
Source links — verify original
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