ArticleJMIR mental health2019
Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study.
Article in JMIR mental health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06744452 (App-based Stress Management), which is not on this map. Cited by 37 papers, 1 of them a synthesis that pooled 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.
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.
App-based Stress Management: A Pragmatic Randomized Controlled Trial on the Efficacy of the mHealth Application "Harmony"
Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Trial
- Effectiveness of a guided mobile app intervention for depression and anxiety in university students (PROMES-U study): protocol of a multicenter randomized controlled trial.BMC public health · 2025Article
- How mental health status and attitudes toward mental health shape AI Acceptance in psychosocial care: a cross-sectional analysis.BMC psychology · 2025Article
- Personalizing mHealth Interventions for Occupational Stress: Protocol for a Randomized Pilot Study.JMIR research protocols · 2025Article
- Knowledge, attitudes and practices among rosacea patients in Chongqing, China: a cross-sectional study.BMJ open · 2025Article
- Medical Students' Acceptance of Tailored e-Mental Health Apps to Foster Their Mental Health: Cross-Sectional Study.JMIR medical education · 2025Article
- Engagement in a web-based intervention for individuals who committed sexual offenses against children: observational study.BMC psychology · 2025Observational
- Quality of life, perceived stress, and use of school-based stress management interventions in high school students: a mixed-methods study during and after COVID-19.Frontiers in public health · 2025Article
- Understanding university students' attitudes and preferences for internet-based mental health interventions.Internet interventions · 2024Article
- Acceptance of a Web-Based Intervention in Individuals Who Committed Sexual Offenses Against Children: Cross-Sectional Study.JMIR formative research · 2024Article
- Mental health services for German university students: acceptance of intervention targets and preference for delivery modes.Frontiers in digital health · 2024Article
- Exploring subgroups of acceptance prediction for e-mental health among psychotherapists-in-training: a latent class analysis.Frontiers in psychiatry · 2024Article
- Breast Cancer Survivors' Attitudes toward eMental Health: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2023Article
- Investigating Employees' Concerns and Wishes Regarding Digital Stress Management Interventions With Value Sensitive Design: Mixed Methods Study.Journal of medical Internet research · 2023Article
- Antecedent, behaviour, and consequence (a-b-c) of deploying the contact tracing app in response to COVID-19: Evidence from Europe.Technological forecasting and social change · 2023Article
- Introducing mobile apps to promote the well-being of German and Italian university students. A cross-national application of the Technology Acceptance Model.Current psychology (New Brunswick, N.J.) · 2022Article
- Acceptance of E-mental health interventions and its determinants among psychotherapists-in-training during the first phase of COVID-19.Internet interventions · 2022Article
- Acceptance of an Internet-Based Team Development Tool Aimed at Improving Work-Related Well-being in Nurses: Cross-sectional Study.JMIR nursing · 2022Article
- Smartphone Alcohol Use Disorder Recovery Apps: Cross-sectional Survey of Behavioral Intention to Use.JMIR human factors · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic stress is a major public health concern. Mobile health (mHealth) apps can help promote coping skills in daily life and prevent stress-related issues. However, little is known about the determinant factors of public acceptance of stress management in relation to preferences for psychological services.
objectiveThe aim of this survey study was to (1) assess determinant factors of public acceptance (behavioral use intention) of stress management apps based on an adapted and extended version of the Unified Theory of Acceptance and Use of Technology (UTAUT) model and (2) explore preferences for mHealth apps compared with other mental health services.
methodsUsing convenience sampling, participants completed a multiscale 54-item Web-based survey. Based on significant correlations with acceptance, hierarchical stepwise regression analysis was performed within three blocks: (1) background and stress-related control variables, (2) beliefs and attitudes toward using mHealth, and (3) the core UTAUT determinants. The preference for mHealth apps in comparison with nine other mental health services (operationalized as readiness to use) was analyzed using paired t tests.
resultsOf 141 participants, nearly half (69/141, 48.9%) indicated prior mHealth use. Acceptance of stress coping apps was moderate (mean 3.10, SD 1.03, range 1-5). Hierarchical stepwise regression including four of 11 variables (R
conclusionsAttitudes may be at least as predictive for the acceptance of stress management apps as for more elaborated outcome beliefs. Efforts aimed at improving the public adoption of mHealth could put more emphasis on the pleasant aspects of app use, address misconceptions, offer stress screening tools on health websites, and increase options to try high-quality apps.
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What OpenQuestion 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 OpenQuestion graph.