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Citing this Article

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Published on 15.01.18 in Vol 5, No 1 (2018): Jan-Mar

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

Works citing "VA FitHeart, a Mobile App for Cardiac Rehabilitation: Usability Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/humanfactors.8017):

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

  1. Huang C, Yang M. Empirical Investigation of Factors Influencing Consumer Intention to Use an Artificial Intelligence-Powered Mobile Application for Weight Loss and Health Management. Telemedicine and e-Health 2020;
    CrossRef
  2. Wegner S, Lohmeyer Q, Wahlen D, Neumann S, Groebli J, Meboldt M. Value of Eye-Tracking Data for Classification of Information Processing–Intensive Handling Tasks: Quasi-Experimental Study on Cognition and User Interface Design. JMIR Human Factors 2020;7(2):e15581
    CrossRef
  3. Tadas S, Coyle D. Barriers and Facilitators of Technology in Cardiac Rehabilitation and Self-Management: Systematic Qualitative Grounded Theory Review (Preprint). Journal of Medical Internet Research 2020;
    CrossRef
  4. Chien S, Islam MM, Yeh C, Chien P, Chen CY, Chin Y, Lin M. Mutual-Aid Mobile App for Emergency Care: Feasibility Study. JMIR Formative Research 2020;4(3):e15494
    CrossRef
  5. Zimmermann JM, Vicentini L, Van Story D, Pozzoli A, Taramasso M, Lohmeyer Q, Maisano F, Meboldt M. Quantification of Avoidable Radiation Exposure in Interventional Fluoroscopy With Eye Tracking Technology. Investigative Radiology 2020;Publish Ahead of Print
    CrossRef
  6. Farias N, Rose-Davis B, Hong P, Wozney L. An Automated Text Messaging System (Tonsil-Text-To-Me) to Improve Tonsillectomy Perioperative Experience: Exploratory Qualitative Usability and Feasibility Study. JMIR Perioperative Medicine 2020;3(1):e14601
    CrossRef
  7. Kooman JP, Wieringa FP, Han M, Chaudhuri S, van der Sande FM, Usvyat LA, Kotanko P. Wearable health devices and personal area networks: can they improve outcomes in haemodialysis patients?. Nephrology Dialysis Transplantation 2020;35(Supplement_2):ii43
    CrossRef
  8. Stotts MJ, Grischkan JA, Khungar V. Improving cirrhosis care: The potential for telemedicine and mobile health technologies. World Journal of Gastroenterology 2019;25(29):3849
    CrossRef
  9. Huffman JC, Smith DM, Ibrahim NE, Duque L, Moskowitz JT, Celano CM. Using mHealth interventions to promote cardiovascular health. Acta Cardiologica 2019;74(4):283
    CrossRef
  10. Alwashmi MF, Hawboldt J, Davis E, Fetters MD. The Iterative Convergent Design for Mobile Health Usability Testing: Mixed Methods Approach. JMIR mHealth and uHealth 2019;7(4):e11656
    CrossRef
  11. Chang W, Lo S, Kuo C, Wang Y, Hsiao H, Denis F. Development of an intervention tool for precision oral self-care: Personalized and evidence-based practice for patients with periodontal disease. PLOS ONE 2019;14(11):e0225453
    CrossRef
  12. McDaniel J, Hangadoumbo FS, Brewer K, Moss A, Yahaya M, Lockett B, Alruwaili M, Godfrey K, Albright DL. Rural–Urban Disparities in Physical Activity Among Service Member and Veteran Cancer Survivors. Military Behavioral Health 2019;7(1):22
    CrossRef
  13. Hannan AL, Harders MP, Hing W, Climstein M, Coombes JS, Furness J. Impact of wearable physical activity monitoring devices with exercise prescription or advice in the maintenance phase of cardiac rehabilitation: systematic review and meta-analysis. BMC Sports Science, Medicine and Rehabilitation 2019;11(1)
    CrossRef
  14. Werhahn SM, Dathe H, Rottmann T, Franke T, Vahdat D, Hasenfuß G, Seidler T. Designing meaningful outcome parameters using mobile technology: a new mobile application for telemonitoring of patients with heart failure. ESC Heart Failure 2019;6(3):516
    CrossRef
  15. Xu L, Li F, Zhou C, Li J, Hong C, Tong Q. The effect of mobile applications for improving adherence in cardiac rehabilitation: a systematic review and meta-analysis. BMC Cardiovascular Disorders 2019;19(1)
    CrossRef