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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (377) Mobile Health (mhealth) (2982)

Published on in Vol 4, No 4 (2016): Oct-Dec

A Review of Persuasive Principles in Mobile Apps for Chronic Arthritis Patients: Opportunities for Improvement

A Review of Persuasive Principles in Mobile Apps for Chronic Arthritis Patients: Opportunities for Improvement

A Review of Persuasive Principles in Mobile Apps for Chronic Arthritis Patients: Opportunities for Improvement

Authors of this article:

Jonas Geuens1 Author Orcid Image ;   Thijs Willem Swinnen2, 3 Author Orcid Image ;   Rene Westhovens2, 3 Author Orcid Image ;   Kurt de Vlam2, 3 Author Orcid Image ;   Luc Geurts1 Author Orcid Image ;   Vero Vanden Abeele1 Author Orcid Image
Article Authors Cited by (46) Tweetations (8) Metrics

Journals

  1. Rodriguez-Paras C, Tippey K, Brown E, Sasangohar F, Creech S, Kum H, Lawley M, Benzer J. Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review. JMIR mHealth and uHealth 2017;5(10):e156 View
  2. Pisaniello H, Dixon W. What does digitalization hold for the creation of real-world evidence?. Rheumatology 2020;59(1):39 View
  3. Grainger R, Townsley H, White B, Langlotz T, Taylor W. Apps for People With Rheumatoid Arthritis to Monitor Their Disease Activity: A Review of Apps for Best Practice and Quality. JMIR mHealth and uHealth 2017;5(2):e7 View
  4. Geuens J, Geurts L, Swinnen T, Westhovens R, Vanden Abeele V. Mobile Health Features Supporting Self-Management Behavior in Patients With Chronic Arthritis: Mixed-Methods Approach on Patient Preferences. JMIR mHealth and uHealth 2019;7(3):e12535 View
  5. Ellis T, Cavanaugh J, DeAngelis T, Hendron K, Thomas C, Saint-Hilaire M, Pencina K, Latham N. Comparative Effectiveness of mHealth-Supported Exercise Compared With Exercise Alone for People With Parkinson Disease: Randomized Controlled Pilot Study. Physical Therapy 2019;99(2):203 View
  6. Giunti G. 3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study. JMIR Serious Games 2018;6(3):e11631 View
  7. Wang Y, Fadhil A, Lange J, Reiterer H. Integrating Taxonomies Into Theory-Based Digital Health Interventions for Behavior Change: A Holistic Framework. JMIR Research Protocols 2019;8(1):e8055 View
  8. Vaghefi I, Tulu B. The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study. JMIR mHealth and uHealth 2019;7(8):e12983 View
  9. Villalobos-Zúñiga G, Cherubini M. Apps That Motivate: a Taxonomy of App Features Based on Self-Determination Theory. International Journal of Human-Computer Studies 2020;140:102449 View
  10. McLean A. mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities. JMIR Nursing 2020;3(1):e19302 View
  11. Alpay L, Doms R, Bijwaard H. Embedding persuasive design for self-health management systems in Dutch healthcare informatics education: Application of a theory-based method. Health Informatics Journal 2019;25(4):1631 View
  12. Alqahtani F, Al Khalifah G, Oyebode O, Orji R. Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development. Frontiers in Artificial Intelligence 2019;2 View
  13. Ji X, Hu L, Wang Y, Luo Y, Zhu J, Zhang J, Khan M, Huang F. “Mobile Health” for the Management of Spondyloarthritis and Its Application in China. Current Rheumatology Reports 2019;21(11) View
  14. Sun R, Han W, Chang H, Shaw M. Motivating Adherence to Exercise Plans Through a Personalized Mobile Health App: Enhanced Action Design Research Approach. JMIR mHealth and uHealth 2021;9(6):e19941 View
  15. Tahri Sqalli M, Al-Thani D. Evolution of Wearable Devices in Health Coaching: Challenges and Opportunities. Frontiers in Digital Health 2020;2 View
  16. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357 View
  17. Mollard E, Michaud K. Self-Management of Rheumatoid Arthritis: Mobile Applications. Current Rheumatology Reports 2021;23(1) View
  18. Chahal S, Biln N, Clarke B. Patient Perspectives on a Digital Mobile Health Application for RA. Open Access Rheumatology: Research and Reviews 2021;Volume 13:63 View
  19. Bezabih A, Gerling K, Abebe W, Abeele V. Behavioral Theories and Motivational Features Underlying eHealth Interventions for Adolescent Antiretroviral Adherence: Systematic Review. JMIR mHealth and uHealth 2021;9(12):e25129 View
  20. Hensley C, Witte M, Cai J, Gruenke A, Pecze J, Mangefrida A, Chang A. Assessment of Mobile Health Applications for Management of Knee and/or Hip Osteoarthritis Using the Mobile Application Rating Scale. JCR: Journal of Clinical Rheumatology 2023;29(5):245 View
  21. Doumen M, De Cock D, Van Lierde C, Betrains A, Pazmino S, Bertrand D, Westhovens R, Verschueren P. Engagement and attrition with eHealth tools for remote monitoring in chronic arthritis: a systematic review and meta-analysis. RMD Open 2022;8(2):e002625 View
  22. Merolli M, Francis J, Vallance P, Bennell K, Malliaras P, Hinman R. Patient-Facing Mobile Apps to Support Physiotherapy Care: Protocol for a Systematic Review of Apps Within App Stores. JMIR Research Protocols 2021;10(12):e29047 View
  23. Silva M, Hay-Smith E, Graham F. Exploring the Use of the Behavior Change Technique Taxonomy and the Persuasive System Design Model in Defining Parent-Focused eHealth Interventions: Scoping Review. Journal of Medical Internet Research 2023;25:e42083 View
  24. Pit S, Tan A, Ramsden R, Payne K, Freihaut W, Hayes O, Eames B, Edwards M, Colbran R. Persuasive Design Solutions for a Sustainable Workforce: Review of Persuasive Apps for Real-Time Capability Support for Rural Health Care Professionals. JMIR mHealth and uHealth 2022;10(2):e33413 View
  25. Garcia A, Balasubramanian V, Lee J, Gardner R, Gummidipundi S, Hung G, Ferris T, Cheung L, Granger C, Kowey P, Rumsfeld J, Russo A, Hills M, Talati N, Nag D, Stein J, Tsay D, Desai S, Mahaffey K, Turakhia M, Perez M, Hedlin H, Desai M. Lessons learned in the Apple Heart Study and implications for the data management of future digital clinical trials. Journal of Biopharmaceutical Statistics 2022;32(3):496 View
  26. Lucero R, Yoon S, Suero-Tejeda N, Arcia A, Iribarren S, Mittelman M, Luchsinger J, Bakken S. Application of persuasive systems design principles to design a self-management application user interface for Hispanic informal dementia caregivers: user preferences and perceptions. JAMIA Open 2022;5(1) View
  27. Alhasani M, Mulchandani D, Oyebode O, Baghaei N, Orji R. A Systematic and Comparative Review of Behavior Change Strategies in Stress Management Apps: Opportunities for Improvement. Frontiers in Public Health 2022;10 View
  28. Doumen M, Westhovens R, Pazmino S, Bertrand D, Stouten V, Neys C, Creten N, Van Laeken E, Verschueren P, De Cock D. The ideal mHealth-application for rheumatoid arthritis: qualitative findings from stakeholder focus groups. BMC Musculoskeletal Disorders 2021;22(1) View
  29. Feigin V, Owolabi M, Hankey G, Pandian J, Martins S. Digital Health in Primordial and Primary Stroke Prevention: A Systematic Review. Stroke 2022;53(3):1008 View
  30. Thompson D, Rattu S, Tower J, Egerton T, Francis J, Merolli M. Mobile app use to support therapeutic exercise for musculoskeletal pain conditions may help improve pain intensity and self-reported physical function: a systematic review. Journal of Physiotherapy 2023;69(1):23 View
  31. Ravalli S, Roggio F, Lauretta G, Di Rosa M, D'Amico A, D'agata V, Maugeri G, Musumeci G. Exploiting real-world data to monitor physical activity in patients with osteoarthritis: the opportunity of digital epidemiology. Heliyon 2022;8(2):e08991 View
  32. Clinckaert A, Schreurs L, Wouters L, Everaerts W, De Cock D. “Keep It Short and Simple”: Perceptions of patients and healthcare professionals on the use of a mobile health app in the care for patients undergoing radical prostatectomy. BJUI Compass 2024;5(1):150 View
  33. Doumen M, De Meyst E, Lefevre C, Pazmino S, Joly J, Bertrand D, Devinck M, Westhovens R, Verschueren P. Effectiveness and feasibility of a mobile health self-management intervention in rheumatoid arthritis: study protocol for a pragmatic multicentre randomised controlled trial (AEGORA). Trials 2023;24(1) View
  34. Oh H, Pontis S. Understanding individuals with spinal cord injury’s self-care practices: a technology probe study to promote pressure relief adherence. Disability and Rehabilitation: Assistive Technology 2024;19(7):2565 View
  35. Merolli M, Francis J, Vallance P, Bennell K, Malliaras P, Hinman R. Evaluation of Patient-Facing Mobile Apps to Support Physiotherapy Care: Systematic Review. JMIR mHealth and uHealth 2024;12:e55003 View
  36. Benavent D, Carmona L, Llorente J, Montoro M, Ramirez S, Otón T, Loza E, Gómez-Centeno A. Empowering rheumatology through digital health technologies: contributions and barriers. Exploration of Musculoskeletal Diseases 2024;2(2):92 View
  37. Doumen M, De Meyst E, Bertrand D, Pazmino S, Piessens M, Joly J, Devinck M, Westhovens R, Verschueren P. A mobile app to support self-management and remotely monitor disease impact in rheumatoid arthritis: the randomized controlled AEGORA trial. Rheumatology 2024 View
  38. Theopilus Y, Mahmud A, Davis H, Octavia J. Persuasive strategies in digital interventions to combat internet addiction: A systematic review. International Journal of Medical Informatics 2024:105725 View

Books/Policy Documents

  1. Ingeson M, Blusi M, Nieves J. Artificial Intelligence in Health. View
  2. Oyebode O, Ndulue C, Alhasani M, Orji R. Persuasive Technology. Designing for Future Change. View
  3. Ahtinen A, Lehtiö A, Boberg M. Persuasive Technology: Development of Persuasive and Behavior Change Support Systems. View
  4. Staehelin D, Franke K, Huber L, Schwabe G. Persuasive Technology. View
  5. Altuwayrib S, Freeman M, Almutairi N, Win K. Persuasive Technology. View
  6. Agyei E, Kekkonen M, Oinas-Kukkonen H. Persuasive Technology. View