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Journal of Medical Internet Research

Citing this Article

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Published on 02.08.13 in Vol 15, No 8 (2013): August

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

Works citing "Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2635):

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

  1. Brown-Johnson CG, Boeckman LM, White AH, Burbank AD, Paulson S, Beebe LA. Trust in Health Information Sources: Survey Analysis of Variation by Sociodemographic and Tobacco Use Status in Oklahoma. JMIR Public Health and Surveillance 2018;4(1):e8
    CrossRef
  2. Fox G, Connolly R. Mobile health technology adoption across generations: Narrowing the digital divide. Information Systems Journal 2018;
    CrossRef
  3. Lee HE, Cho J. What Motivates Users to Continue Using Diet and Fitness Apps? Application of the Uses and Gratifications Approach. Health Communication 2017;32(12):1445
    CrossRef
  4. Sezgin E, Özkan-Yildirim S, Yildirim S. Investigation of physicians' awareness and use of mHealth apps: A mixed method study. Health Policy and Technology 2017;6(3):251
    CrossRef
  5. Sage A, Blalock SJ, Carpenter D. Extending FDA guidance to include consumer medication information (CMI) delivery on mobile devices. Research in Social and Administrative Pharmacy 2017;13(1):209
    CrossRef
  6. Lee C, Lee K, Lee D. Mobile Healthcare Applications and Gamification for Sustained Health Maintenance. Sustainability 2017;9(5):772
    CrossRef
  7. Wang SH. Web-Based Medical Service: Technology Attractiveness, Medical Creditability, Information Source, and Behavior Intention. Journal of Medical Internet Research 2017;19(8):e285
    CrossRef
  8. Venkatesh V, Hoehle H, Aljafari R. A usability study of the obamacare website: Evaluation and recommendations. Government Information Quarterly 2017;34(2):199
    CrossRef
  9. Schuster L, Tossan V, Drennan J. Consumer Acceptance of mHealth Services: A Comparison of Behavioral Intention Models. Services Marketing Quarterly 2017;38(2):115
    CrossRef
  10. Blumenthal J, Wilkinson A, Cheuk RTF, Charoenkitkarn P, Charoenkitkarn N, Chignell M. Cognitive capacity and smartphone dual-task gait measurement. Procedia Computer Science 2017;111:87
    CrossRef
  11. Chang C, Lee T, Mills ME. Experience of Home Telehealth Technology in Older Patients With Diabetes. CIN: Computers, Informatics, Nursing 2017;35(10):530
    CrossRef
  12. Kelley MS, Su D, Britigan DH. Disparities in Health Information Access: Results of a County-Wide Survey and Implications for Health Communication. Health Communication 2016;31(5):575
    CrossRef
  13. Zapata BC, Fernández-Alemán JL, Idri A, Toval A. Empirical Studies on Usability of mHealth Apps: A Systematic Literature Review. Journal of Medical Systems 2015;39(2)
    CrossRef
  14. Schuster L, Drennan J, Lings I. Understanding consumers’ decisions to adopt technology-enabled transformative services. The Service Industries Journal 2015;35(15-16):846
    CrossRef
  15. Rho MJ, Yoon KH, Kim H, Choi IY. Users’ perception on telemedicine service: a comparative study of public healthcare and private healthcare. Multimedia Tools and Applications 2015;74(7):2483
    CrossRef
  16. Brandt R, Rice R. Building a better PHR paradigm: Lessons from the discontinuation of Google Health™. Health Policy and Technology 2014;3(3):200
    CrossRef
  17. Diamantidis CJ, Becker S. Health information technology (IT) to improve the care of patients with chronic kidney disease (CKD). BMC Nephrology 2014;15(1)
    CrossRef
  18. O'Sullivan D, Fraccaro P, Carson E, Weller P. Decision time for clinical decision support systems. Clinical Medicine 2014;14(4):338
    CrossRef
  19. Baird A, Nowak S. Why primary care practices should become digital health information hubs for their patients. BMC Family Practice 2014;15(1)
    CrossRef
  20. Baird A, Raghu TS, North F, Edwards F. When traditionally inseparable services are separated by technology: the case of patient portal features offered by primary care providers. Health Systems 2014;3(2):143
    CrossRef
  21. Abebe NA, Capozza KL, Des Jardins TR, Kulick DA, Rein AL, Schachter AA, Turske SA. Considerations for Community-Based mHealth Initiatives: Insights From Three Beacon Communities. Journal of Medical Internet Research 2013;15(10):e221
    CrossRef
  22. Nielsen JA, Mathiassen L. Interpretive Flexibility in Mobile Health: Lessons From a Government-Sponsored Home Care Program. Journal of Medical Internet Research 2013;15(10):e236
    CrossRef
  23. Martínez-Pérez B, de la Torre-Díez I, Candelas-Plasencia S, López-Coronado M. Development and Evaluation of Tools for Measuring the Quality of Experience (QoE) in mHealth Applications. Journal of Medical Systems 2013;37(5)
    CrossRef
  24. Becker S, Kribben A, Meister S, Diamantidis CJ, Unger N, Mitchell A, van Ooijen PMA. User Profiles of a Smartphone Application to Support Drug Adherence — Experiences from the iNephro Project. PLoS ONE 2013;8(10):e78547
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2635)

:
  1. Idrish S, Rifat A, Iqbal M, Nisha N. Health Economics and Healthcare Reform. 2018. chapter 2:20
    CrossRef
  2. Nisha N, Iqbal M, Rifat A. Optimizing Current Practices in E-Services and Mobile Applications. 2018. chapter 9:181
    CrossRef
  3. Woldeyohannes HO, Ngwenyama OK. HCI in Business, Government and Organizations. Interacting with Information Systems. 2017. Chapter 19:239
    CrossRef
  4. M-Health: Fundamentals and Applications. 2016. :189
    CrossRef
  5. Seçkin G. Emotions, Technology, and Health. 2016. :41
    CrossRef
  6. Seçkin G, Kahana E. Encyclopedia of Mobile Phone Behavior. 2015. chapter 73:898
    CrossRef