Published on in Vol 24, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36691, first published .
Mobile Apps for People With Rare Diseases: Review and Quality Assessment Using Mobile App Rating Scale

Mobile Apps for People With Rare Diseases: Review and Quality Assessment Using Mobile App Rating Scale

Mobile Apps for People With Rare Diseases: Review and Quality Assessment Using Mobile App Rating Scale

Journals

  1. He D, Wang R, Xu Z, Wang J, Song P, Wang H, Su J. The use of artificial intelligence in the treatment of rare diseases: A scoping review. Intractable & Rare Diseases Research 2024;13(1):12 View
  2. Eaton C, McWilliams E, Yablon D, Kesim I, Ge R, Mirus K, Sconiers T, Donkoh A, Lawrence M, George C, Morrison M, Muther E, Oates G, Sathe M, Sawicki G, Snell C, Riekert K. Cross-Cutting mHealth Behavior Change Techniques to Support Treatment Adherence and Self-Management of Complex Medical Conditions: Systematic Review. JMIR mHealth and uHealth 2024;12:e49024 View
  3. Narang G, Chen Y, Wedel N, Wu M, Luo M, Atreja A. Development of a Digital Patient Assistant for the Management of Cyclic Vomiting Syndrome: Patient-Centric Design Study. JMIR Formative Research 2024;8:e52251 View
  4. Eaton C, Vallejo N, McDonald X, Wu J, Rodríguez R, Muthusamy N, Mathioudakis N, Riekert K. User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review. Journal of Medical Internet Research 2024;26:e50508 View