Evidence map›Paper›PMID 42190171›Full record

ArticleJMIR formative research2026

Helping Older Veterans Use Mental Health Apps: Qualitative Interviews and Development of a New Program.

Julie Lutz, Carter H Davis, Sherry A Beaudreau, Christine E Gould

Abstract read
In one paragraph

Article in JMIR formative 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

4 authors.

Julie LutzSierra Pacific Mental Illness Research, Education, and Clinical Center, VA Palo Alto Health Care System, 3801 Miranda Ave (151Y MIRECC), Palo Alto, CA, 94804, United States, 1 6504935000.ORCID 0000-0002-0937-3028
Carter H DavisGeriatric Research, Education, and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, United States.ORCID 0000-0002-3142-4784
Sherry A BeaudreauSierra Pacific Mental Illness Research, Education, and Clinical Center, VA Palo Alto Health Care System, 3801 Miranda Ave (151Y MIRECC), Palo Alto, CA, 94804, United States, 1 6504935000.ORCID 0000-0002-9853-9332
Christine E GouldDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd (MC 5723), Stanford, CA, 94305, United States, 1 650-498-9111.ORCID 0000-0001-8901-2363

Funding

VA
6 · The paper itself

Abstract

Background: Mobile mental health apps may provide an accessible, scalable, and private avenue for older veterans who may not otherwise seek or receive care to address their mental health concerns. However, older veterans may experience barriers to using these apps that need to be addressed to facilitate effective use. Such support could be effectively implemented within the US Veterans Health Administration to facilitate the use of the United States Department of Veterans Affairs' established mental health apps and to benefit older veterans with mental health concerns. Objective: This study aimed to (1) assess older veterans' interest in and barriers to using mental health apps to address problems such as difficulties with social connection, and (2) develop and pilot a coaching program to address barriers that older veterans experience in using mobile devices and apps. Methods: Rapid qualitative analysis of semistructured qualitative interviews with 12 older veterans identified themes regarding interest, barriers, and preferences for support for using mobile apps. These themes informed the development of a coaching program, which was piloted with 13 older veterans to assess acceptability, feasibility, and resultant signals of changes in mobile device proficiency. Results: Most veterans expressed interest in using mental health apps. One of the most common barriers was familiarity and proficiency with mobile devices and app technology. Other common barriers included usability or accessibility of the technology or app, motivation, and memory. Veterans reported interest in receiving coaching support. Though the majority of veterans expressed some preference for more individualized and in-person support, they identified both benefits and drawbacks to all potential coaching modalities (group vs one-on-one, in-person vs remote)-including issues of individualizable and guided assistance, feasibility and accessibility of the support, and group settings as potential avenues for social connection as well as potential susceptibility to challenging social dynamics and interactions. Mobile Device and App Learning (MoDAL)-a 2-session, interactive, remote educational group-was developed and piloted. Most veterans who participated found MoDAL helpful. Participants' mobile device proficiency showed a statistically significant improvement on average pre- to post-MoDAL, although this effect was small, and the small sample size limits the strength of the conclusions. Conclusions: Older veterans do have some interest in using mobile mental health apps to address mental health-related issues. However, they experience critical barriers, including a lack of familiarity and proficiency with the technology. MoDAL may improve older veterans' comfort and proficiency with mobile devices and apps, which could address one of the barriers that impacts downstream engagement in mental health apps and other virtual care modalities.

Indexed as

Mobile ApplicationsVeteransAgedFemaleHumansInterviews as TopicMaleMental HealthMiddle AgedProgram DevelopmentQualitative ResearchUnited StatesUnited States Department of Veterans Affairscoachingmobile healtholder adultsquality improvementself-managementsmartphonetablet

Identifiers

PMID42190171
PMCPMC13211601

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.