ReviewHealth science reports2026
Mobile Health Interventions to Support Patients With Dementia During the COVID-19 Pandemic: A Systematic Review.
Review in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: During the COVID-19 pandemic, mobile health (mHealth) utilization increased, especially among specific groups such as patients with dementia (PwD). This systematic review aimed to assess mHealth interventions among PwD during the COVID-19 pandemic. Methods: This systematic review followed the PRISMA 2020 guidelines. PubMed, Scopus, and Web of Science were searched for English-language studies published between January 2019 and November 2025. Quantitative, qualitative, and mixed-methods studies reporting mHealth interventions for PwD during the COVID-19 pandemic were eligible. Study selection and data extraction were independently conducted by three reviewers. A thematic synthesis based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework was conducted using ATLAS.ti version 8. Results: Of the 16,691 records identified, 13 studies met the inclusion criteria, including 7 quantitative, 3 qualitative, and 3 mixed-methods studies conducted across 12 countries. The synthesis identified 36 drivers and 21 barriers influencing the adoption of mHealth interventions among PwD. Key drivers included perceived usefulness, ease of use, enhanced caregiver support, improved communication with healthcare professionals, and improved access to care. Major barriers comprised technical limitations, inadequate digital infrastructure, language and accessibility challenges, and limited digital literacy among caregivers. Conclusion: mHealth interventions represent feasible tools for supporting PwD during public health emergencies by enabling remote monitoring, caregiver support, and continuity of care. In practice, healthcare providers should prioritize user-friendly mHealth solutions tailored to caregivers' digital literacy and dementia severity. At the policy level, investments in digital infrastructure, technical support, and caregiver training programs are essential to reduce adoption barriers and ensure equitable implementation of mHealth interventions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.