Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 183

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Internet-Based Supportive Interventions for Family Caregivers of People With Dementia: Systematic Review and Meta-Analysis

Open access
Leng, Minmin, Zhao, Yajie, Xiao, Hongmei, Li, Ce, Wang, Zhiwen·2020·Journal of Medical Internet Research

Abstract

Background: Caring for people with dementia is perceived as one of the most stressful and difficult forms of caring. Family caregivers always experience high levels of psychological burden and physical strain, so effective and practical support is essential. Internet-based supportive interventions can provide convenient and efficient support and education to potentially reduce the physical and psychological burden associated with providing care. Objective: This review aimed to (1) assess the efficacy of internet-based supportive interventions in ameliorating health outcomes for family caregivers of people with dementia, and (2) evaluate the potential effects of internet-based supportive intervention access by caregivers on their care recipients. Methods: An electronic literature search of the PubMed, EMBASE, Web of Science, CINAHL, Cochrane Library, and PsycINFO databases was conducted up to January 2020. Two reviewers (ML and YZ) worked independently to identify randomized controlled trials (RCTs) that met the inclusion criteria and independently extracted data. The quality of the included RCTs was evaluated using the approach recommended by the Cochrane Handbook for Systematic Reviews of Interventions. Standardized mean differences (SMDs) with 95% CIs were applied to calculate the pooled effect sizes. Results: In total, 17 RCTs met the eligibility criteria and were included in this systematic review. The meta-analysis showed that internet-based supportive interventions significantly ameliorated depressive symptoms (SMD=–0.21; 95% CI –0.31 to –0.10; P<.001), perceived stress (SMD=–0.40; 95% CI –0.55 to –0.24; P<.001), anxiety (SMD=–0.33; 95% CI –0.51 to –0.16; P<.001), and self-efficacy (SMD=0.19; 95% CI 0.05-0.33; P=.007) in dementia caregivers. No significant improvements were found in caregiver burden, coping competence, caregiver reactions to behavioral symptoms, or quality of life. Six studies assessed the unintended effects of internet-based supportive intervention access by caregivers on their care recipients. The results showed that internet-based supportive interventions had potential benefits on the quality of life and neuropsychiatric symptoms in care recipients. Conclusions: Internet-based supportive interventions are generally effective at ameliorating depressive symptoms, perceived stress, anxiety, and self-efficacy in dementia caregivers and have potential benefits on care recipients. Future studies are encouraged to adopt personalized internet-based supportive interventions to improve the health of family caregivers and their care recipients. Trial Registration: PROSPERO CRD42020162434; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=162434

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2196/19468This paper is marked retracted.

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 183

Metadata

Authors
Leng, M., Zhao, Y., Xiao, H., Li, C., & Wang, Z.
Venue
Journal of Medical Internet Research
Published
2020-09-09
Volume
22
Issue
9
Pages
e19468
ISSN
1438-8871 (ISSN-L)
OpenAlex
W3045519070
Cited by
183
References
9
FWCI
4.03
Type
journal article
Language
en
Status
Retracted
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.