Evidence map›Paper›PMID 42406503›Full record

ReviewInteractive journal of medical research2026

Landscape, Evidence, Gaps, and Opportunities in Digital Mental Health Interventions for Older Adults: Scoping Review.

Leyi Zhou, Xinyi Zuo, Joonyoung Cho, Chuxuan Zheng, Shengyi Jing, Xiaoling Xiang

Abstract readReview
In one paragraph

Review in Interactive journal of medical research, 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

6 authors.

Leyi ZhouSchool of Social Welfare, University of California, Berkeley, Berkeley, CA, United States.ORCID http://orcid.org/0009-0008-3230-8874
Xinyi ZuoSchool of Social Work, University of Michigan, 1080 South University Avenue, Ann Arbor, MI, 48109, United States, 1 734 763 6581.ORCID http://orcid.org/0009-0001-4316-9389
Joonyoung ChoCenter on Aging, Thompson School of Social Work and Public Health, University of Hawaii System, Honolulu, HI, United States.ORCID http://orcid.org/0000-0002-4515-7576
Chuxuan ZhengDepartment of Psychology, College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI, United States.ORCID http://orcid.org/0009-0006-8887-8927
Shengyi JingSchool of Social Work, University of Michigan, 1080 South University Avenue, Ann Arbor, MI, 48109, United States, 1 734 763 6581.ORCID http://orcid.org/0009-0002-3374-5298
Xiaoling XiangSchool of Social Work, University of Michigan, 1080 South University Avenue, Ann Arbor, MI, 48109, United States, 1 734 763 6581.ORCID http://orcid.org/0000-0002-4926-4707

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental health conditions, including depression, anxiety, and psychological distress, are prevalent among the aging population and affect their health, functioning, and quality of life. Access to proper and high-quality mental health treatment is necessary; however, mental health treatment and care remain underused due to stigma, workforce shortages, cost, and mobility limitations. Digital mental health interventions (DMHIs) are emerging as a promising strategy to improve the accessibility and effectiveness of mental health services for older adults, but older adults have historically been underrepresented in DMHI development and evaluation. Additionally, the effectiveness of different types of DMHIs and how age-centered design approaches influence outcomes remain underexplored. Objective: This scoping review mapped and synthesized evidence on DMHIs focused on adults aged 50 years and older and identified gaps in the evidence base related to study design, age-related adaptations, and clinical outcomes. Specifically, we examined (1) the technologies and therapeutic approaches used, (2) the outcomes and effectiveness of DMHIs, and (3) age-centered adaptations and their outcomes. Methods: This scoping review searched for studies focusing on DMHIs for older adults across PubMed, PsycINFO, Scopus, Ageline, and Web of Science that were published from 2000 to February 2025. Eligible studies evaluated or described the design of DMHIs targeting mental health conditions among adults aged 50 years or older. Two rounds of independent screening and data extraction were conducted by multiple reviewers. Extracted data included study design, sample characteristics, intervention features, technologies used, age-related adaptations, and clinical outcomes. Results: Seventy-two studies met the inclusion criteria, of which 36 were randomized controlled trials and 54 reported clinical outcomes. Web-based cognitive behavioral therapy was the most commonly used approach, followed by games, virtual reality, mobile apps, chatbots, and robots. Fifty-four studies reported positive clinical outcomes, most commonly reductions in depression, anxiety, or psychological distress. However, only one-third of the studies incorporated age-centered design adaptations or co-design approaches, such as simplified interfaces, larger fonts, age-relevant content, or participatory development with older adults. Conclusions: Among studies reporting positive clinical outcomes, DMHIs can reduce depression, anxiety, and psychological distress. However, with only half of the included studies using randomized controlled trial designs, the overall evidence base remains moderate. In addition, age-adaptive design remains underdeveloped. Future research should strengthen trial designs and systematically examine how usability and age-centered adaptations influence DMHI effectiveness.

Indexed as

age-adaptation designcognitive behavioral therapydigital mental health interventionsgerontechnologyscoping review

Identifiers

PMID42406503
PMCPMC13335415

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.