Published on in Vol 4, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17162, first published .
The Atrial Fibrillation Health Literacy Information Technology Trial: Pilot Trial of a Mobile Health App for Atrial Fibrillation

The Atrial Fibrillation Health Literacy Information Technology Trial: Pilot Trial of a Mobile Health App for Atrial Fibrillation

The Atrial Fibrillation Health Literacy Information Technology Trial: Pilot Trial of a Mobile Health App for Atrial Fibrillation

Journals

  1. Kotalczyk A, Ding W, Gupta D, Wright D, Lip G. Clinical outcomes following rhythm control for atrial fibrillation: is early better?. Expert Review of Cardiovascular Therapy 2021;19(4):277 View
  2. Magnani J, Ferry D, Swabe G, Martin D, Chen X, Brooks M, El Khoudary S. Rurality and atrial fibrillation: A pathway to virtual engagement and clinical trial recruitment in response to COVID-19. American Heart Journal Plus: Cardiology Research and Practice 2021;3:100017 View
  3. Knaepen L, Delesie M, Theunis R, Vijgen J, Dendale P, Desteghe L, Heidbuchel H. A new smartphone application for integrated transmural care of atrial fibrillation, AF-EduApp: Usability and validation study. DIGITAL HEALTH 2021;7:205520762110671 View
  4. Martinengo L, Jabir A, Goh W, Lo N, Ho M, Kowatsch T, Atun R, Michie S, Tudor Car L. Conversational Agents in Health Care: Scoping Review of Their Behavior Change Techniques and Underpinning Theory. Journal of Medical Internet Research 2022;24(10):e39243 View
  5. Jang I. A Systematic Review on Mobile Health Applications’ Education Program for Patients Taking Oral Anticoagulants. International Journal of Environmental Research and Public Health 2021;18(17):8902 View
  6. Leiner J, König S, Mouratis K, Kim I, Schmitz P, Joshi T, Schanner C, Wohlrab L, Hohenstein S, Pellissier V, Nitsche A, Kuhlen R, Hindricks G, Bollmann A. A Digital Infrastructure for Cardiovascular Patient Care Based on Mobile Health Data and Patient-Reported Outcomes: Concept Details of the Helios TeleWear Project Including Preliminary Experiences. JMIR Formative Research 2023;7:e41115 View
  7. Magnani J, Ferry D, Swabe G, Martin D, Chen X, Brooks M, Kimani E, Paasche-Orlow M, Ólafsson S, Bickmore T, El Khoudary S. Design and rationale of the mobile health intervention for rural atrial fibrillation. American Heart Journal 2022;252:16 View
  8. MacNeill A, MacNeill L, Doucet S, Luke A. Professional representation of conversational agents for health care: a scoping review protocol. JBI Evidence Synthesis 2022;20(2):666 View
  9. Laranjo L, Shaw T, Trivedi R, Thomas S, Charlston E, Klimis H, Thiagalingam A, Kumar S, Tan T, Nguyen T, Marschner S, Chow C. Coordinating Health Care With Artificial Intelligence–Supported Technology for Patients With Atrial Fibrillation: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(4):e34470 View
  10. Barrett C, Suzuki Y, Hussein S, Garg L, Tumolo A, Sandhu A, West J, Zipse M, Aleong R, Varosy P, Tzou W, Banaei‐Kashani F, Rosenberg M. Evaluation of Quantitative Decision‐Making for Rhythm Management of Atrial Fibrillation Using Tabular Q‐Learning. Journal of the American Heart Association 2023;12(9) View
  11. Wutz M, Hermes M, Winter V, Köberlein-Neu J. Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review. Journal of Medical Internet Research 2023;25:e46548 View
  12. Jiang Z, Huang X, Wang Z, Liu Y, Huang L, Luo X. Embodied Conversational Agents for Chronic Diseases: Scoping Review. Journal of Medical Internet Research 2024;26:e47134 View
  13. Linz D, Gawalko M, Betz K, Hendriks J, Lip G, Vinter N, Guo Y, Johnsen S. Atrial fibrillation: epidemiology, screening and digital health. The Lancet Regional Health - Europe 2024;37:100786 View