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This paper is in the following e-collection/theme issue:

Digital Health Reviews (3514) Mobile Health (mhealth) (5035) Demographics of Users, Social & Digital Divide (1265) Usability of Apps and User Perceptions of mHealth (1770) Use and User Demographics of mHealth (494) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (789)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71349, first published .
Diverse group of people looking at smartphones, one showing a doctor's video call

Understanding Inequalities in Mobile Health Utilization Across Phases: Systematic Review and Meta-Analysis

Understanding Inequalities in Mobile Health Utilization Across Phases: Systematic Review and Meta-Analysis

Authors of this article:

Seongwoo Yang1, 2 Author Orcid Image ;   Myoung Jin Cha1 Author Orcid Image ;   Robin van Kessel3, 4 Author Orcid Image ;   Govind Warrier5, 6 Author Orcid Image ;   Johannes Thrul5, 7, 8 Author Orcid Image ;   Mangyeong Lee1, 2 Author Orcid Image ;   Junghee Yoon9, 10 Author Orcid Image ;   Danbee Kang2, 9 Author Orcid Image ;   Juhee Cho2, 9 Author Orcid Image
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Journals

  1. Nejamis A, Gutierrez L, López M, Ciganda Cha A, Mendoza Quispe O, Irazola V, Beratarrechea A. WhatsApp-Based Intervention for Diabetes Prevention and Care in Argentina: Implementation and Process Evaluation. JMIR Formative Research 2025;9:e81098 View
  2. Zhang M, Chu J, Sheng W, Bai J, Song Y, Fan L. Cancer survivors’ experiences with mHealth interventions for PA: a meta-synthesis of qualitative studies. Frontiers in Public Health 2025;13 View
  3. Chen Y, Wu M, Yu C, Huang W, Tung L, Tsai L. Health literacy and digital health service use among community residents in Taiwan: implications from a pilot assessment using the HLS-SF12. BMC Public Health 2026;26(1) View
  4. Hladek M, Rubio O, Curriero S, Horn S, Hughes A, Wilson D, McAdams-DeMarco M, Crews D, Szanton S. Empowering Older Adults Through Values-Informed Solutions for Technology Adoption: Protocol for a Feasibility and Acceptability Randomized Controlled Pilot Trial. JMIR Research Protocols 2026;15:e85257 View
  5. Sharma S, Khadka A. Managing diabetes across borders and screens: mHealth use among older late-life South Asian migrants in the United States. Ethnicity & Health 2026:1 View
  6. Hannemann N, Hübner U, Babitsch B. Social and health inequities in attitudes toward and use of digital health technologies: Findings from an online cross-sectional study in Germany. Journal of Public Health 2026 View
  7. Senishaw A, Mengistu A, Assaye B, Tizie S, Mengistie M, Gebeyew A, Shimie A, Tadele M, Mekonnen T, Teferi G, Banerjee B. Utilization of Mobile Health and Its Associated Factors in Ethiopia: A Systematic Review. BioMed Research International 2026;2026(1) View
  8. Arai K, Kamada M, Yoshida T, Yamada I, Ding D, Hino K. Cross-level regional and socioeconomic inequalities in step counts: a descriptive epidemiological investigation of 1.5 million Japanese smartphone users. The Lancet Regional Health - Western Pacific 2026:101901 View
  9. Sarek F, Józwik K, Kucharczyk S, Rak Z, Ignatowska Z, Wielogórska A, Kamecki A, Dzień K. EFFECTIVENESS, ACCESSIBILITY, AND LIMITATIONS OF DIGITAL MENTAL HEALTH INTERVENTIONS IN THE POST-COVID-19 ERA: A SCOPING REVIEW OF REVIEW-LEVEL EVIDENCE. International Journal of Innovative Technologies in Social Science 2026;4(2(50)) View
  10. Guo X, Cao J, Huang M, Tan T, Quan H, Li C, Shen X. Digital health equity among older adult(s): a conceptual analysis. Frontiers in Public Health 2026;14 View