ArticleJMIR mHealth and uHealth2019
Barriers to and Facilitators of Engagement With mHealth Technology for Remote Measurement and Management of Depression: Qualitative Analysis.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 4 of them syntheses that pooled it.
What it found
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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.
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Who cites it
65 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- A systematic review of influences on engagement with remote health interventions targeting weight management for individuals living with excess weight.International journal of obesity (2005) · 2025Pooled it
- Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis.JMIR mHealth and uHealth · 2022Pooled it
- Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Smartphone Apps for the Treatment of Mental Disorders: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial.JMIR mHealth and uHealth · 2024Trial
- Integration of cognitive behavioral therapy and mobile health applications among university students with depression: a qualitative study.International journal of qualitative studies on health and well-being · 2026Article
- Using Passive Sensing to Predict Psychosis Relapse: An In-Depth Qualitative Study Exploring Perspectives of People With Psychosis.Schizophrenia bulletin · 2026Article
- Sleep and Activity Patterns in Depression From Wearable Data: Unsupervised Clustering Study.Journal of medical Internet research · 2026Article
- Association of Positive mHealth Engagement with Knowledge, Attitude, Practice, and Total KAP Among Patients with Multidrug-Resistant Tuberculosis.Healthcare (Basel, Switzerland) · 2026Article
- Article
- Requirements and Concerns of Individuals Remitted From Depression for an Early Relapse Detection mHealth App: Focus Group Study.JMIR mHealth and uHealth · 2025Article
- Affordance Types and Their Determinants in Patient Mobile Health Portals Use: An Empirical Investigation.Journal of medical Internet research · 2025Article
- Challenges and standardisation strategies for sensor-based data collection for digital phenotyping.Communications medicine · 2025Review
- Effects of an mHealth Occupational Therapy Intervention on Functional Performance: A Pilot Study.Healthcare (Basel, Switzerland) · 2025Article
- Pilot Study of Factors Influencing Engagement with an mHealth Intervention Among Teens with Eating Disorder Symptoms.Journal of technology in behavioral science · 2025Article
- Employee Preference and Use of Employee Mental Health Programs: Mixed Methods Study.JMIR human factors · 2025Article
- A literature review of remote mental health screening: barriers, potential solutions, and tools.Frontiers in digital health · 2025Review
- The effectiveness of mHealth mindfulness interventions on perinatal psychological health: a systematic review.Oxford open digital health · 2025Review
- Rethinking the digital divide in health: a critical interpretive synthesis of research literature.Frontiers in digital health · 2025Review
- Remote Monitoring and Virtual Appointments for the Assessment and Management of Depression via the Co-HIVE Model of Care: A Qualitative Descriptive Study of Patient Experiences.Healthcare (Basel, Switzerland) · 2024Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile technology has the potential to provide accurate, impactful data on the symptoms of depression, which could improve health management or assist in early detection of relapse. However, for this potential to be achieved, it is essential that patients engage with the technology. Although many barriers to and facilitators of the use of this technology are common across therapeutic areas and technology types, many may be specific to cultural and health contexts.
objectiveThis study aimed to determine the potential barriers to and facilitators of engagement with mobile health (mHealth) technology for remote measurement and management of depression across three Western European countries.
methodsParticipants (N=25; 4:1 ratio of women to men; age range, 25-73 years) who experienced depression participated in five focus groups held in three countries (two in the United Kingdom, two in Spain, and one in Italy). The focus groups investigated the potential barriers to and facilitators of the use of mHealth technology. A systematic thematic analysis was used to extract themes and subthemes.
resultsFacilitators and barriers were categorized as health-related factors, user-related factors, and technology-related factors. A total of 58 subthemes of specific barriers and facilitators or moderators emerged. A core group of themes including motivation, potential impact on mood and anxiety, aspects of inconvenience, and ease of use was noted across all countries.
conclusionsSimilarities in the barriers to and facilitators of the use of mHealth technology have been observed across Spain, Italy, and the United Kingdom. These themes provide guidance on ways to promote the design of feasible and acceptable cross-cultural mHealth tools.
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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.