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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1381) Design and Formative Evaluation of Mobile Apps (680) Usability of Apps and User Perceptions of mHealth (950)

Published on in Vol 7, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12535, first published .
Mobile Health Features Supporting Self-Management Behavior in Patients With Chronic Arthritis: Mixed-Methods Approach on Patient Preferences

Mobile Health Features Supporting Self-Management Behavior in Patients With Chronic Arthritis: Mixed-Methods Approach on Patient Preferences

Mobile Health Features Supporting Self-Management Behavior in Patients With Chronic Arthritis: Mixed-Methods Approach on Patient Preferences

Authors of this article:

Jonas Geuens1 Author Orcid Image ;   Luc Geurts1 Author Orcid Image ;   Thijs W Swinnen2, 3 Author Orcid Image ;   Rene Westhovens2, 3 Author Orcid Image ;   Vero Vanden Abeele1 Author Orcid Image
Article Authors Cited by (14) Tweetations (4) Metrics

Journals

  1. McKenna K, Geoghegan C, Swezey T, Perry B, Wood W, Nido V, Morin S, Grabert B, Hallinan Z, Corneli A. Investigator Experiences Using Mobile Technologies in Clinical Research: Qualitative Descriptive Study. JMIR mHealth and uHealth 2021;9(2):e19242 View
  2. Esbensen B, Kennedy N, Brodin N. Prevention and adherence in Rheumatic and Musculoskeletal disease. Best Practice & Research Clinical Rheumatology 2020:101525 View
  3. Deodhar A, Gensler L, Magrey M, Walsh J, Winseck A, Grant D, Mease P. Assessing Physical Activity and Sleep in Axial Spondyloarthritis: Measuring the Gap. Rheumatology and Therapy 2019;6(4):487 View
  4. Grainger R, Townsley H, Ferguson C, Riley F, Langlotz T, Taylor W. Patient and clinician views on an app for rheumatoid arthritis disease monitoring: Function, implementation and implications. International Journal of Rheumatic Diseases 2020;23(6):813 View
  5. Wei Y, Zheng P, Deng H, Wang X, Li X, Fu H. Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis. Journal of Medical Internet Research 2020;22(12):e21687 View
  6. Richter J, Nannen C, Chehab G, Acar H, Becker A, Willers R, Huscher D, Schneider M. Mobile App-based documentation of patient-reported outcomes — 3-months results from a proof-of-concept study on modern rheumatology patient management. Arthritis Research & Therapy 2021;23(1) View
  7. Östlind E, Ekvall Hansson E, Eek F, Stigmar K. Experiences of activity monitoring and perceptions of digital support among working individuals with hip and knee osteoarthritis – a focus group study. BMC Public Health 2022;22(1) View
  8. Baijot M, Puers R, Kraft M. Monitoring Lower Back Activity in Daily Life Using Small Unintrusive Sensors and Wearable Electronics in the Context of Rheumatic and Musculoskeletal Diseases. Sensors 2021;21(19):6362 View
  9. Murphy J, Molloy G, Hynes L, McSharry J. Young adult preferences for digital health interventions to support adherence to inhaled corticosteroids in asthma: a qualitative study. Health Psychology and Behavioral Medicine 2022;10(1):557 View
  10. Wang Y, Ji X, Hu L, Zhu J, Zhang J, Huang F. Internet-based nationwide evaluation of patient preferences for mobile health features in ankylosing spondylitis. Intelligent Medicine 2023;3(2):97 View
  11. Armfield N, Elphinston R, Liimatainen J, Scotti Requena S, Eather C, Edirippulige S, Ritchie C, Robins S, Sterling M. Development and Use of Mobile Messaging for Individuals With Musculoskeletal Pain Conditions: Scoping Review. JMIR mHealth and uHealth 2024;12:e55625 View

Books/Policy Documents

  1. MacMartin-Moglia K, Mahler M. Precision Medicine and Artificial Intelligence. View