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Citing this Article

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Published on 13.10.16 in Vol 4, No 4 (2016): Oct-Dec

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

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

Jonas Geuens, Thijs Willem Swinnen, Rene Westhovens, Kurt de Vlam, Luc Geurts, Vero Vanden Abeele

JMIR Mhealth Uhealth 2016 (Oct 13); 4(4):e118 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.6286):

(note that this is only a small subset of citations)

  1. Rodriguez-Paras C, Tippey K, Brown E, Sasangohar F, Creech S, Kum H, Lawley M, Benzer JK. Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review. JMIR mHealth and uHealth 2017;5(10):e156
    CrossRef
  2. Pisaniello HL, Dixon WG. What does digitalization hold for the creation of real-world evidence?. Rheumatology 2020;59(1):39
    CrossRef
  3. Grainger R, Townsley H, White B, Langlotz T, Taylor WJ. 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
    CrossRef
  4. Geuens J, Geurts L, Swinnen TW, 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
    CrossRef
  5. Ellis TD, Cavanaugh JT, DeAngelis T, Hendron K, Thomas CA, Saint-Hilaire M, Pencina K, Latham NK. 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
    CrossRef
  6. . 3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study. JMIR Serious Games 2018;6(3):e11631
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  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  10. . mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities. JMIR Nursing 2020;3(1):e19302
    CrossRef
  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
    CrossRef
  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
    CrossRef
  13. Ji X, Hu L, Wang Y, Luo Y, Zhu J, Zhang J, Khan MA, Huang F. “Mobile Health” for the Management of Spondyloarthritis and Its Application in China. Current Rheumatology Reports 2019;21(11)
    CrossRef
  14. Sun R, Han W, Chang H, Shaw MJ. Motivating Adherence to Exercise Plans Through a Personalized Mobile Health App: Enhanced Action Design Research Approach. JMIR mHealth and uHealth 2021;9(6):e19941
    CrossRef
  15. Tahri Sqalli M, Al-Thani D. Evolution of Wearable Devices in Health Coaching: Challenges and Opportunities. Frontiers in Digital Health 2020;2
    CrossRef
  16. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357
    CrossRef
  17. Mollard E, Michaud K. Self-Management of Rheumatoid Arthritis: Mobile Applications. Current Rheumatology Reports 2021;23(1)
    CrossRef
  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
    CrossRef
  19. Bezabih AM, Gerling K, Abebe W, Abeele VV. Behavioral Theories and Motivational Features Underlying eHealth Interventions for Adolescent Antiretroviral Adherence: Systematic Review. JMIR mHealth and uHealth 2021;9(12):e25129
    CrossRef
  20. Hensley CP, Witte MM, Cai J, Gruenke A, Pecze J, Mangefrida A, Chang AH. 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
    CrossRef
  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
    CrossRef
  22. Merolli M, Francis JJ, Vallance P, Bennell KL, Malliaras P, Hinman RS. 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
    CrossRef
  23. Silva M, Hay-Smith EJ, 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
    CrossRef
  24. Pit SW, Tan AJH, 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
    CrossRef
  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 MT, 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
    CrossRef
  26. Lucero RJ, 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)
    CrossRef
  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
    CrossRef
  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)
    CrossRef
  29. Feigin VL, Owolabi M, Hankey GJ, Pandian J, Martins SC. Digital Health in Primordial and Primary Stroke Prevention: A Systematic Review. Stroke 2022;53(3):1008
    CrossRef
  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
    CrossRef
  31. Ravalli S, Roggio F, Lauretta G, Di Rosa M, D'Amico AG, 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
    CrossRef
  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
    CrossRef
  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)
    CrossRef
  34. Oh HY, 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 2023;:1
    CrossRef
  35. Merolli M, Francis JJ, Vallance P, Bennell KL, Malliaras P, Hinman RS. Evaluation of Patient-Facing Mobile Apps to Support Physiotherapy Care: Systematic Review. JMIR mHealth and uHealth 2024;12:e55003
    CrossRef
  36. Benavent D, Carmona L, Llorente JFG, 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.6286):

  1. Ingeson M, Blusi M, Nieves JC. Artificial Intelligence in Health. 2019. Chapter 8:99
    CrossRef
  2. Oyebode O, Ndulue C, Alhasani M, Orji R. Persuasive Technology. Designing for Future Change. 2020. Chapter 13:163
    CrossRef
  3. Ahtinen A, Lehtiö A, Boberg M. Persuasive Technology: Development of Persuasive and Behavior Change Support Systems. 2019. Chapter 15:177
    CrossRef
  4. Staehelin D, Franke K, Huber L, Schwabe G. Persuasive Technology. 2023. Chapter 11:158
    CrossRef
  5. Altuwayrib SA, Freeman M, Almutairi N, Win KT. Persuasive Technology. 2024. Chapter 4:42
    CrossRef
  6. Agyei EEYF, Kekkonen M, Oinas-Kukkonen H. Persuasive Technology. 2024. Chapter 2:15
    CrossRef