Published on in Vol 7, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15021, first published .
Association Between User Engagement of a Mobile Health App for Gout and Improvements in Self-Care Behaviors: Randomized Controlled Trial

Association Between User Engagement of a Mobile Health App for Gout and Improvements in Self-Care Behaviors: Randomized Controlled Trial

Association Between User Engagement of a Mobile Health App for Gout and Improvements in Self-Care Behaviors: Randomized Controlled Trial

Journals

  1. Humphrey G, Chu J, Dowling N, Rodda S, Merkouris S, Parag V, Newcombe D, Ho E, Nosa V, Ruwhui-Collins R, Whittaker R, Bullen C. Manaaki – a cognitive behavioral therapy mobile health app to support people experiencing gambling problems: a randomized control trial protocol. BMC Public Health 2020;20(1) View
  2. Ho G, Pillinger M, Toprover M. Adherence to gout guidelines: where do we stand?. Current Opinion in Rheumatology 2021;33(2):128 View
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  4. Li Q, Liu T, Zhang S, Miao X. Illness perception and treatment experience in patients with gout: a descriptive qualitative study. Clinical Rheumatology 2022;41(4):1185 View
  5. Yang A, Singh N, Varshney U. Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework. Journal of Medical Systems 2022;46(10) View
  6. Martínez-Olcina M, Cuestas-Calero B, Miralles-Amorós L, Vicente-Martínez M, Sánchez-Sánchez J. Effectiveness of App-Based Intervention to Improve Health Status of Sedentary Middle-Aged Males and Females. International Journal of Environmental Research and Public Health 2022;19(10):5857 View
  7. 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
  8. Martin-Payo R, Carrasco-Santos S, Cuesta M, Stoyan S, Gonzalez-Mendez X, Fernandez-Alvarez M. Spanish adaptation and validation of the User Version of the Mobile Application Rating Scale (uMARS). Journal of the American Medical Informatics Association 2021;28(12):2681 View
  9. Wang H, Ho A, Wiener R, Sambamoorthi U. The Association of Mobile Health Applications with Self-Management Behaviors among Adults with Chronic Conditions in the United States. International Journal of Environmental Research and Public Health 2021;18(19):10351 View
  10. Liu Y, Lu X, Zhao G, Li C, Shi J. Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns. Frontiers in Psychology 2022;13 View
  11. Tahsin F, Austin T, McKinstry B, Mercer S, Loganathan M, Thavorn K, Upshur R, Steele Gray C. Examining Use Behavior of a Goal-Supporting mHealth App in Primary Care Among Patients With Multiple Chronic Conditions: Qualitative Descriptive Study. JMIR Human Factors 2022;9(4):e37684 View
  12. Clare I, Gamage N, Alvares G, Black L, Francis J, Jaimangal M, Lucas R, Strickland M, White J, Nguyen R, Gorman S. The Effects of Using the Sun Safe App on Sun Health Knowledge and Behaviors of Young Teenagers: Results of Pilot Intervention Studies. JMIR Dermatology 2022;5(1):e35137 View
  13. Ofanoa S, Ofanoa M, Tu’akoi S, Lutui H, Heather M, Jansen R, Dalbeth N, Grey C, Goodyear-Smith F, Stokes T. Interventions designed to improve uptake of allopurinol for gout treatment in Aotearoa New Zealand: a scoping review. Journal of Primary Health Care 2022;15(1):48 View
  14. Carvalho L, Haas L, Zeni G, Victor M, Techele S, Marrone Castanho J, Meneghetti Coimbra I, de Freitas de Sousa A, Ceretta N, Garrudo A, Grevet E, Rohde L. Evaluation of the effectiveness of the FOCUS ADHD App in monitoring adults with attention-deficit/hyperactivity disorder. European Psychiatry 2023;66(1) View
  15. Choi S. Personal Health Tracking: A Paradigm Shift in the Self-Care Models in Nursing. JMIR Nursing 2023;6:e50991 View
  16. Klingenberg M, Elsner A, Pooth J, Hans F, Benning L. The Effect of Therapeutic Adherence on the Effectiveness of a Digital Therapeutic Exercise Program: A Propensity Score Matching Analysis. Healthcare 2023;11(19):2614 View
  17. Iqbal M, Newman B, Ellis L, Mears S, Harrison R. Characterising consumer engagement in virtual models of care: A systematic review and narrative synthesis. Patient Education and Counseling 2023;115:107922 View
  18. 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
  19. Stephen B, Uzoewulu B, Asuquo P, Ozuomba S. Diabetes and hypertension MobileHealth systems: a review of general challenges and advancements. Journal of Engineering and Applied Science 2023;70(1) View
  20. Wang Y, Chen Y, Song Y, Chen H, Guo X, Ma L, Liu H. The Impact of mHealth-Based Continuous Care on Disease Knowledge, Treatment Compliance, and Serum Uric Acid Levels in Chinese Patients With Gout: Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e47012 View
  21. Orellano-Colon E, Fernández-Torres A, Figueroa-Alvira N, Ortiz-Vélez B, Rivera-Rivera N, Torres-Ferrer G, Martín-Payo R. Empowering Potential of the My Assistive Technology Guide: Exploring Experiences and User Perspectives. Disabilities 2024;4(2):303 View
  22. Guillotin T, Saraux A. Role of technology-based innovation in chronic disease management in rheumatology. RMD Open 2024;10(2):e004264 View
  23. El Aoufy K, Melis M, Magi C, Bellando-Randone S, Tamburini M, Bandini G, Moggi-Pignone A, Matucci-Cerinic M, Bambi S, Rasero L. Evidence for telemedicine heterogeneity in rheumatic and musculoskeletal diseases care: a scoping review. Clinical Rheumatology 2024 View