Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44885, first published .
Preferences of Patients With Musculoskeletal Disorders Regarding the Timing and Channel of eHealth and Factors Influencing Its Use: Mixed Methods Study

Preferences of Patients With Musculoskeletal Disorders Regarding the Timing and Channel of eHealth and Factors Influencing Its Use: Mixed Methods Study

Preferences of Patients With Musculoskeletal Disorders Regarding the Timing and Channel of eHealth and Factors Influencing Its Use: Mixed Methods Study

Journals

  1. Suresh Kumar S, Connolly P, Maier A. Considering User Experience and Behavioral Approaches in the Design of mHealth Interventions for Atrial Fibrillation: Systematic Review. Journal of Medical Internet Research 2024;26:e54405 View
  2. van der Ven J, van den Bemt B, Flendrie M, Vriezekolk J, Verhoef L. Determinants of Self‐Management Behavior in Gout: A Scoping Review. Arthritis Care & Research 2025;77(4):534 View
  3. Chew M, Ilhan E, Dennis S, Nicholson L, Kobayashi S, Chan C. Navigating HOPE (Hypermobile Online Pain managemEnt): Perspectives and Experiences From People With Hypermobile Ehlers–Danlos Syndrome or Hypermobility Spectrum Disorder on a Condition‐Specific Online Pain Management Programme. Health Expectations 2025;28(1) View
  4. Jayachandran N, Abdrabou A, Al Bataineh M, Noordin K. An Architecture and Realisation of a Smart City Digital Twin With eHealth Case Studies. IET Smart Cities 2025;7(1) View
  5. Haegens L, Bekker C, Flendrie M, van den Bemt B, Huiskes V. Text Messaging Between Patients With Inflammatory Rheumatic Diseases and Pharmacists to Solve Drug-Related Problems: Prospective Feasibility Study. JMIR Human Factors 2025;12:e66514 View

Books/Policy Documents

  1. Keikhosrokiani P, Isomursu M, Korhonen O, Sean T. Digital Health and Wireless Solutions. View