ArticleDigital health
The facilitators and barriers of mHealth adoption and use among people with a low socio-economic position: A scoping review.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Tailoring in eHealth lifestyle interventions targeting people with cardiometabolic conditions and lower socioeconomic position: A scoping review.PLOS digital health · 2026Article
- ENHANCE (Tailored Intervention for Brain Health and Cognitive Enrichment for Cognitive Health), a Coach-Supported Digital Intervention for Dementia Prevention in Underserved Older Adults: Co-Design and Usability Study.Journal of medical Internet research · 2026Article
- Article
- Frontline Health Workers' Perspectives of the World Health Organization Skin Neglected Tropical Diseases App in Kenya: Qualitative Study on AI-Embedded mHealth Implementation.JMIR mHealth and uHealth · 2026Article
- Digital and Blended Lifestyle Interventions for Preschool-Aged Children and Families With a Low Socioeconomic Position and the General Population: Scoping Review.Journal of medical Internet research · 2026Article
- User-Centered Diabetes Self-Management App (DiabAid Nexus) in Sub-Saharan Africa: Development and Usability Study.Journal of medical Internet research · 2026Article
- Young adults' perceptions and experiences in using mobile apps and wearables for health: a qualitative study with public involvement.BMC public health · 2026Article
- Article
- Socioeconomic differences in older adults' intention to use mhealth applications.BMC geriatrics · 2026Article
- Health consumers' use of mHealth applications in Ghana: a cross-sectional study.BMC public health · 2026Article
- Patient and Clinician Attitudes Toward Mobile Health Apps: Qualitative Study.JMIR mHealth and uHealth · 2026Article
- User Profiles and Engagement in a Hypertension Self-Management App: Cross-Sectional Survey.Journal of medical Internet research · 2026Article
- WhatsApp-Based Intervention for Diabetes Prevention and Care in Argentina: Implementation and Process Evaluation.JMIR formative research · 2025Article
- The Impact of Mobile Health Literacy, Socioeconomic Factors, and Engagement Patterns on DiabetesXcel App Usage in Adults.Journal of diabetes and metabolic disorders · 2025Article
- Creating a Basic Ethical Framework for Digital Lifestyle Interventions: A Narrative Review.Mayo Clinic proceedings. Digital health · 2025Review
- Enablers, Challenges, and Lessons Learned From a Digital Health Intervention (Sehatmandi App) in Afghanistan: Qualitative Study.Journal of medical Internet research · 2025Article
- Psycho-social and behavioral trends in Type 2 Diabetes self-management amongst medically underserved patients during the COVID-19 pandemic in an mHealth intervention.medRxiv : the preprint server for health sciences · 2025Article
- Impact of Clinical Trial Virtualization on Recruitment in Underserved Communities for a Type 2 Diabetes mHealth Intervention.medRxiv : the preprint server for health sciences · 2025Article
- Adoption of Telemedicine for Dementia Care in Nigeria: Scoping Review.Interactive journal of medical research · 2025Review
- Understanding Health Care Workers' Attitudes and Preferences Toward Digital Patient Monitoring Platforms: Cross-Country Survey Study.JMIR formative research · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Despite the fact that 95% of the global population has a mobile phone, the adoption of mHealth lags among people with a low socio-economic position (SEP). As they face health risks and many barriers in the traditional offline healthcare system, mHealth has an important role. Therefore, it is important to understand the factors that promote and impede mHealth adoption among people with a lower SEP. Objective: The current study aims to provide an overview of what is known about the facilitators and barriers to the adoption and use of autonomous mHealth applications among people with low SEP. Methods: A PRISMA scoping review in which the scientific databases PubMed, Web of Science, PsychInfo and SocINDEX were searched in the period of March 2017 to March 2022. Results: Of the 1827 indexed papers, 13 papers were included in the review. In these papers, 30 factors have been identified as promoting or hindering the adoption of autonomous mHealth applications among low SEP people. Conclusions: Thirty factors were found to facilitate or impede mHealth adoption among people with a low SEP, categorised into intrapersonal, interpersonal, community, ecological and app specific levels. Factors are assumed to be interrelated. The relationship between traditional (offline) care and digital care appeared to be of particular interest as the current study revealed that face-to-face contact is a prerequisite of mHealth adoption among people with low SEP. Therefore, a well-structured cosmopolitan system of stakeholders has been recommended. Trial registration: This study was registered in OSF (https://doi.org/10.17605/OSF.IO/ATU9D).
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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.