ArticleJMIR mental health2025
Quantitative Research on Digitalized Treatment Options for Older Adults With Mental Illness: Scoping Review.
Article in JMIR mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Managing emotional distress in older adults with mental illness: a randomized controlled trial evaluating virtual reality relaxation.Translational psychiatry · 2026Trial
- The influence of mobile navigation design on older adults cognitive load, affective responses, and digital self-efficacy: mixed-methods study.Frontiers in psychology · 2026Article
- How digital medicine redefines the landscape of care: Ethical and legal consequences in the case of psychiatry.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOlder adults with mental illness face specific physical and psychosocial challenges and inequities, reflected in limited access to advanced technology. This digital divide is alarming as mental health interventions increasingly depend on both patients' and clinicians' access to technology. However, digitalized treatments also present opportunities to enhance accessibility, effectiveness, and equity across age groups.
objectiveThis scoping review charted the state of quantitative research on digitalized treatment options for older people with mental illness. We focused specifically on how technology is integrated into existing nonpharmacological mental health interventions or leveraged to create new ones. We also summarized the state of the art on the feasibility and effectiveness of these interventions for various mental illnesses.
methodsThis review was conducted in compliance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for systematic scoping reviews. A PubMed search conducted in April 2024 and updated in April 2025 identified 64 studies (15,644 participants; aged 40-97 years). Included studies were original quantitative studies or reviews of these studies looking into nonpharmacological treatments for older adults with a psychiatric diagnosis using any kind of technology.
resultsThe technologies examined ranged from web-based psychotherapy platforms and digital devices for daily challenges to robots for social interaction. Few studies (5/64, 7%) examined the newest advances in digital mental health, such as artificial intelligence or virtual reality. Most studies (37/64, 58%) evaluated dementia-related interventions using small, nonrandomized samples and uncontrolled designs.
conclusionsThe current state of the field, despite the promises of technology to reduce inequities between age groups, still largely excludes older adults from research on technological advances in mental health and their benefits. The field needs to overcome this selective bias and fight the "digital gray divide" in mental health.
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What Socratic holds
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 Socratic graph.