Evidence map›Paper›PMID 42326830›Full record

ReviewInnovation in aging2026

Digital technologies in care for older adults living alone: a scoping review.

Wenqian Xu, Biying Yang, Bussarawan Teerawichitchainan

Abstract readReview
In one paragraph

Review in Innovation in aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Wenqian XuDepartment of Health Sciences, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0003-4274-5468
Biying YangDepartment of Sociology and Anthropology, National University of Singapore, Singapore.
Bussarawan TeerawichitchainanDepartment of Sociology and Anthropology, National University of Singapore, Singapore.ORCID https://orcid.org/0000-0002-6177-3213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: The number of older adults living alone is increasing globally, often with varied risks and resilience capacities. Digital technologies may help mitigate these risks, but their potential remains poorly understood. This review maps evidence on digital technologies in social and health care interventions for older adults living alone, focusing on technology types, functions, intervention outcomes, integration into care, and associated benefits and challenges. Research Design and Methods: Studies from 2000 to 2025 were identified through systematic searches across 8 databases and gray literature, yielding 37 sources. A qualitative content analysis synthesized study characteristics and findings. Results: Five categories of digital technologies were identified, from communication tools to AI-powered devices. Most interventions were delivered through scheduled sessions led by care providers. Most reported positive health outcomes (e.g., improved physical function, psychological well-being, reduced loneliness, healthier behaviors, and better self-care), while evidence on service delivery effects remains limited. While technologies improved care accessibility and coordination, challenges included limited digital literacy, exclusion, and design flaws. Discussion and Implications: Knowledge gaps include limited geographical diversity, insufficient research on underrepresented groups (e.g., ethnic minorities and those with low socioeconomic status), a lack of intersectional analyses, limited evidence on cost-effectiveness, long-term outcomes, and effective intervention components. Future interventions should adopt participatory, person-centered approaches to strengthen equity and agency, alongside policy efforts to address structural barriers such as unequal access to digital care technologies.

Indexed as

Digital healthIntegrated carePerson-centered careSocial careSolitary living

Identifiers

PMID42326830
PMCPMC13278841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.