Published on in Vol 10, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39881, first published .
Mobile Health Apps for Patient-Centered Care: Review of United States Rheumatoid Arthritis Apps for Engagement and Activation

Mobile Health Apps for Patient-Centered Care: Review of United States Rheumatoid Arthritis Apps for Engagement and Activation

Mobile Health Apps for Patient-Centered Care: Review of United States Rheumatoid Arthritis Apps for Engagement and Activation

Journals

  1. 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
  2. Biskupiak Z, Ha V, Rohaj A, Bulaj G. Digital Therapeutics for Improving Effectiveness of Pharmaceutical Drugs and Biological Products: Preclinical and Clinical Studies Supporting Development of Drug + Digital Combination Therapies for Chronic Diseases. Journal of Clinical Medicine 2024;13(2):403 View
  3. Shin J, Shields R, Lee J, Skrove Z, Tredinnick R, Ponto K, Fields B. Quality and Accessibility of Home Assessment mHealth Apps for Community Living: Systematic Review. JMIR mHealth and uHealth 2024;12:e52996 View
  4. Mruthyunjaya P, Ahmed S, Danda D. Scoping review on remote disease monitoring in rheumatoid arthritis: does it actually help the patient?. Exploration of Musculoskeletal Diseases 2024;2(1):20 View
  5. Staehelin D, Dolata M, Stöckli L, Schwabe G. How Patient-Generated Data Enhance Patient-Provider Communication in Chronic Care: Field Study in Design Science Research. JMIR Medical Informatics 2024;12:e57406 View
  6. Yoon J, Cho S, Choi S, Lee S, Cho J, Jeon C, Kim G, Lee J, Sung Y. Expert Consensus on Developing Information and Communication Technology-Based Patient Education Guidelines for Rheumatic Diseases in the Korea. Journal of Korean Medical Science 2025;40(1) View
  7. Denu M, Shao C, Tak K, Iyengar S, Do K, Nagy N, Singh G, Sadaniantz K, Shankara S, Kovell L. Home blood pressure monitoring and mobile health application practices among pregnant persons with and at risk of hypertensive disorders of pregnancy. Pregnancy Hypertension 2025;39:101197 View
  8. Hua Y, Na H, Li Z, Liu F, Fang X, Clifton D, Torous J. A scoping review of large language models for generative tasks in mental health care. npj Digital Medicine 2025;8(1) View
  9. Staehelin D, Weber L, Kindler K, Schwabe G. Designing Patient Empowerment Systems: Tackling Low Adherence in Weight Management. Proceedings of the ACM on Human-Computer Interaction 2025;9(7):1 View
  10. Yang H, Khatiwada A, Curtis J, Nowell W, Gavigan K, Hawkins G, Seals C, Rose C, McCormick N, Garza K. Assessing activity limitations experienced by persons with rheumatoid arthritis to inform appropriate selection of patient-reported outcomes measures: a qualitative study. Journal of Patient-Reported Outcomes 2025;9(1) View
  11. Gülşen M, Arslan S. The Impact of e-Mobile Education Based on the Life Model on Anxiety and Daily Living Activities in Thyroidectomy Patients: A Randomized Controlled Trial. Journal of PeriAnesthesia Nursing 2025 View
  12. Du Y, Fan J, Liu G, Yang Z, Lei Y, Guo Y. Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2025;13:e73903 View

Books/Policy Documents

  1. Arun S, Sykes E, Tanbeer S. Health Informatics and Medical Systems and Biomedical Engineering. View

Conference Proceedings

  1. Mishra V, Noman O, Bankar N, Tiwari A, Godbole S, Timilsina D. 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). Large Language Model-based Mobile Apps in OPDs: Optimized Patient Management and Prioritization View