Published on in Vol 9, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36962, first published .
The Sociodemographic Digital Divide in Mobile Health App Use Among Clients at Outpatient Departments in Inner Mongolia, China: Cross-sectional Survey Study

The Sociodemographic Digital Divide in Mobile Health App Use Among Clients at Outpatient Departments in Inner Mongolia, China: Cross-sectional Survey Study

The Sociodemographic Digital Divide in Mobile Health App Use Among Clients at Outpatient Departments in Inner Mongolia, China: Cross-sectional Survey Study

Journals

  1. Choudhury A, Kuehn A, Shamszare H, Shahsavar Y. Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review. Healthcare 2023;11(2):272 View
  2. Tong A, Ho F, Chu O, Mak W. 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 2023;25:e39029 View
  3. Fei-Zhang D, Chelius D, Sheyn A, Rastatter J. Large-data contextualizations of social determinant associations in pediatric head and neck cancers. Current Opinion in Otolaryngology & Head & Neck Surgery 2023;31(6):424 View
  4. Oba T, Takano K, Katahira K, Kimura K. Use Patterns of Smartphone Apps and Wearable Devices Supporting Physical Activity and Exercise: Large-Scale Cross-Sectional Survey. JMIR mHealth and uHealth 2023;11:e49148 View
  5. Shih H, Xue H, Min H, Wojtusiak J, Chang J. Informing Patient-Provider Engagement for Shared Decision Making Through Mobile Health Applications. Patient Preference and Adherence 2023;Volume 17:3489 View
  6. Sher J, Lewis C, Lin C. Using Wearable Technologies to Monitor Physical Activity and Exercise in Patients: A Narrative Review. Current Sports Medicine Reports 2024;23(8):284 View
  7. Yang Y, Ma C. Sociodemographic factors and health digital divide among urban residents: Evidence from a population-based survey in China. DIGITAL HEALTH 2024;10 View
  8. Konishi N, Oba T, Takano K, Katahira K, Kimura K. Functions of Smartphone Apps and Wearable Devices Promoting Physical Activity: Six-Month Longitudinal Study on Japanese-Speaking Adults. JMIR mHealth and uHealth 2024;12:e59708 View
  9. Park Y, Tak Y, Kim I, Lee H, Lee J, Lee J, Lee Y. 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 2024;26:e55176 View
  10. Chen W, Bai X, Liu D, Pan L, Chongsuvivatwong V, Chen Y. Public satisfaction with Healthy China Action Plan implementation: a web-based cross-sectional survey in southwest China. BMJ Open 2025;15(2):e091039 View
  11. Yang S, Cha M, van Kessel R, Warrier G, Thrul J, Lee M, Yoon J, Kang D, Cho J. Understanding Inequalities in Mobile Health Utilization Across Phases: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2025;27:e71349 View
  12. Yang Y, Ma C, Liu H, Lv S, Liao W. Based on capital theory to exploring the digital health divide and determinants among urban and rural older adults in China: Cross-sectional study. DIGITAL HEALTH 2025;11 View
  13. Cerceo E, Abbott L, Sheffmaker R, Ansar M, Rachoin J, Liu K. 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 2025;22(11):1733 View