Evidence map›Paper›PMID 42580687›Full record

ArticleJMIR mHealth and uHealth2026

Design Preferences for Mental Health Apps Among Nondigitally Native Adults With Chronic Pain: Qualitative Analysis.

Abby L Cheng, Christine Y Gou, Adriana Martin, Sarah M Hartz, Joanna Abraham

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Abby L ChengDivision of Musculoskeletal Physical Medicine and Rehabilitation, Department of Orthopaedic Surgery, Washington University in St. Louis, St. Louis, MO, United States.ORCID 0000-0002-8166-0806
Christine Y GouDivision of Musculoskeletal Physical Medicine and Rehabilitation, Department of Orthopaedic Surgery, Washington University in St. Louis, St. Louis, MO, United States.ORCID 0009-0007-5587-1187
Adriana MartinDivision of Musculoskeletal Physical Medicine and Rehabilitation, Department of Orthopaedic Surgery, Washington University in St. Louis, St. Louis, MO, United States.ORCID 0009-0003-5532-0191
Sarah M HartzDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, United States.ORCID 0000-0002-5429-3799
Joanna AbrahamDepartment of Anesthesiology & Institute for Informatics, Washington University in St. Louis, St. Louis, MO, United States.ORCID 0000-0002-3576-5279

Funding

Digital mental health intervention for middle-aged and older adults with depression and/or anxiety and coexisting chronic painR01MH131989 · NIMH · WASHINGTON UNIVERSITY · PI Abby Ling-Lee Cheng · 2024 to 2026
$2.7M
NIMH NIH HHS R01 MH131989
6 · The paper itself

Abstract

backgroundOn a population level, mental health apps are accessible and effective. However, nondigitally native adults with chronic pain are a large and growing population who have been neglected during the development process of these interventions. Although technology use is rapidly growing among this population, their engagement with mobile health-related apps is lagging because usability is often not optimized for their needs and preferences.

objectiveThis study aimed to identify design preferences and determinants of engagement with mental health apps by nondigitally native adults who have chronic pain and coexisting symptoms of depression or anxiety.

methodsIn this qualitative study, participants completed a semistructured interview regarding their experience with, and perceptions of, mobile devices, apps, and digital health interventions. Participants were 45 years or older; scored ≥10 on the 9-item Patient Health Questionnaire, 7-item Generalized Anxiety Disorder, or both; endorsed pain on most days or every day in the past 3 months; and were living in the United States. The interview guide was informed by the Consolidated Framework for Implementation Research and the Behavioral Intervention Technology model. Codes were organized into themes. Recruitment continued until thematic saturation was achieved.

resultsA total of 42 participants were interviewed (mean age 57, SD 8 years; n=32, 76% women). Participants strongly preferred apps that are free, describe strong privacy policies, and add functional value to their lives. They were more motivated by "real-life" goal achievement and tangible health improvements than by gamification within an app, and many were wary of allowing apps to passively collect certain types of data, especially to make inferences about their mental health. Most participants were unaware of apps designed to address chronic pain, but they were interested in the concept, particularly to help track their mood and pain and then identify associations between their symptoms, app activity, and other life events. Despite their daily use of apps, many participants described frequent challenges related to app navigation. While on-demand access to app tools was preferred, most participants appreciated the potential value of occasional push notifications if their timing was thoughtful and customizable. Participants cautioned against an overly cheerful, "infantile," or informal tone for an app that addresses serious issues such as mental health and chronic pain.

conclusionsMental health apps for nondigitally native adults should highlight tangible health improvements that can be achieved from app engagement (more so than gamification), potentially using a multidomain tracking feature, if appropriate. This population is available to receive just-in-time adaptive interventions, but the frequency and timing should be thoughtful, customizable, and not wholly reliant on passively collected personal data. Health-related apps designed to address conditions that are more common with increasing age should account for these preferences.

Indexed as

Chronic PainMobile ApplicationsPatient PreferenceAgedDigital HealthFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchSurveys and Questionnairesanxietychronic paindepressiondigital healthdigital mental health interventionengagementmHealthmiddle-agemobile appnavigationolder adultusabilityuser-centered design

Identifiers

PMID42580687
PMCPMC13507721

What OpenQuestion holds

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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.