ArticleJMIR human factors2022
The Sociodemographic Digital Divide in Mobile Health App Use Among Clients at Outpatient Departments in Inner Mongolia, China: Cross-sectional Survey Study.
Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Understanding Inequalities in Mobile Health Utilization Across Phases: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Time-Dependent Changes in Depressive Symptoms Among Control Participants in Digital-Based Psychological Intervention Studies: Meta-analysis of Randomized Controlled Trials.Journal of medical Internet research · 2023Pooled it
- Association Between Behavioral Phenotypes and Paid Subscription and Renewal Among New mHealth App Users: Six-Month Prospective Cohort Study.Journal of medical Internet research · 2026Article
- Article
- Broadband Access, Internet Use, and General Cognition in Middle-Aged and Older Adults: Longitudinal Study.JMIR aging · 2026Article
- Unlimited Smartphone Data Plans in Older Adults With Data Deprivation: Quasi-Experimental Study.JMIR mHealth and uHealth · 2026Article
- Awareness, Perceptions, Willingness, and Feasibility of mHealth Apps Among People Living With Epilepsy: Cross-Sectional Questionnaire Study.JMIR formative research · 2025Article
- Hospitalized Adults' Willingness to Use Mobile Apps for Air Quality and Heat Monitoring: A Survey-Based Study.International journal of environmental research and public health · 2025Article
- Public satisfaction with Healthy China Action Plan implementation: a web-based cross-sectional survey in southwest China.BMJ open · 2025Article
- User Experience and Extended Technology Acceptance Model in Commercial Health Care App Usage Among Patients With Cancer: Mixed Methods Study.Journal of medical Internet research · 2024Article
- Functions of Smartphone Apps and Wearable Devices Promoting Physical Activity: Six-Month Longitudinal Study on Japanese-Speaking Adults.JMIR mHealth and uHealth · 2024Article
- Use Patterns of Smartphone Apps and Wearable Devices Supporting Physical Activity and Exercise: Large-Scale Cross-Sectional Survey.JMIR mHealth and uHealth · 2023Article
- Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review.Healthcare (Basel, Switzerland) · 2023Review
- Informing Patient-Provider Engagement for Shared Decision Making Through Mobile Health Applications.Patient preference and adherence · 2023Article
- Sociodemographic factors and health digital divide among urban residents: Evidence from a population-based survey in China.Digital healthArticle
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Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile health (mHealth) apps have become part of the infrastructure for access to health care in hospitals, especially during the COVID-19 pandemic. However, little is known about the effects of sociodemographic characteristics on the digital divide regarding the use of hospital-based mHealth apps and their benefits to patients and caregivers.
objectiveThe aim of this study was to document the cascade of potential influences from digital access to digital use and then to mHealth use, as well as the potential influence of sociodemographic variables on elements of the cascade.
methodsA cross-sectional survey was conducted from January to February 2021 among adult clients at outpatient departments in 12 tertiary hospitals of Inner Mongolia, China. Structural equation modeling was conducted after the construct comprising digital access, digital use, and mHealth use was validated.
resultsOf 2115 participants, the β coefficients (95% CI) of potential influence of digital access on digital use, and potential influence of digital use on mHealth use, were 0.28 (95% CI 0.22-0.34) and 0.51 (95% CI 0.38-0.64), respectively. Older adults were disadvantaged with regard to mHealth access and use (β=-0.38 and β=-0.41), as were less educated subgroups (β=-0.24 and β=-0.27), and these two factors had nonsignificant direct effects on mHealth use.
conclusionsTo overcome the mHealth use divide, it is important to improve digital access and digital use among older adults and less educated groups.
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