Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 21.12.12 in Vol 14, No 6 (2012): Nov-Dec

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

Works citing "Factors Affecting Mobile Diabetes Monitoring Adoption Among Physicians: Questionnaire Study and Path Model"

Shintaro Okazaki, José Alberto Castañeda, Silvia Sanz, Jörg Henseler

J Med Internet Res 2012 (Dec 21); 14(6):e183 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2159):

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

  1. Jacob C, Sanchez-Vazquez A, Ivory C. Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Review. JMIR mHealth and uHealth 2020;8(2):e15935
    CrossRef
  2. Zhao Y, Ni Q, Zhou R. What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age. International Journal of Information Management 2018;43:342
    CrossRef
  3. Okazaki S, Castañeda JA, Sanz S. Clinicians’ Assessment of Mobile Monitoring: A Comparative Study in Japan and Spain. Medicine 2.0 2013;2(2):e11
    CrossRef
  4. Keikhosrokiani P, Mustaffa N, Zakaria N, Abdullah R. Assessment of a medical information system: the mediating role of use and user satisfaction on the success of human interaction with the mobile healthcare system (iHeart). Cognition, Technology & Work 2020;22(2):281
    CrossRef
  5. Boyle L, Grainger R, Hall RM, Krebs JD. Use of and Beliefs About Mobile Phone Apps for Diabetes Self-Management: Surveys of People in a Hospital Diabetes Clinic and Diabetes Health Professionals in New Zealand. JMIR mHealth and uHealth 2017;5(6):e85
    CrossRef
  6. Sezgin E, Özkan-Yildirim S, Yildirim S. Understanding the perception towards using mHealth applications in practice. Information Development 2018;34(2):182
    CrossRef
  7. Alam MZ, Hoque MR, Hu W, Barua Z. Factors influencing the adoption of mHealth services in a developing country: A patient-centric study. International Journal of Information Management 2020;50:128
    CrossRef
  8. Salari R, Niakan Kalhori SR, Fatehi F, Ghazisaeedi M, Nazari M. Determining minimum set of features for diabetes mobile apps. Journal of Diabetes & Metabolic Disorders 2019;18(2):333
    CrossRef
  9. Pool J, Akhlaghpour S, Fatehi F. Towards a contextual theory of Mobile Health Data Protection (MHDP): A realist perspective. International Journal of Medical Informatics 2020;141:104229
    CrossRef
  10. Bidmon S, Terlutter R, Röttl J. What Explains Usage of Mobile Physician-Rating Apps? Results From a Web-Based Questionnaire. Journal of Medical Internet Research 2014;16(6):e148
    CrossRef
  11. Lee V, Ooi K, Chong AY, Sohal A. The effects of supply chain management on technological innovation: The mediating role of guanxi. International Journal of Production Economics 2018;205:15
    CrossRef
  12. Andrawis JP, Muzykewicz DA, Franko OI. Mobile Device Trends in Orthopedic Surgery: Rapid Change and Future Implications. Orthopedics 2016;39(1)
    CrossRef
  13. Gagnon M, Ngangue P, Payne-Gagnon J, Desmartis M. m-Health adoption by healthcare professionals: a systematic review. Journal of the American Medical Informatics Association 2016;23(1):212
    CrossRef
  14. Rossmann C, Riesmeyer C, Brew-Sam N, Karnowski V, Joeckel S, Chib A, Ling R. Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies. JMIR Diabetes 2019;4(1):e10271
    CrossRef
  15. de Ridder M, Kim J, Jing Y, Khadra M, Nanan R. A systematic review on incentive-driven mobile health technology: As used in diabetes management. Journal of Telemedicine and Telecare 2017;23(1):26
    CrossRef
  16. Keikhosrokiani P, Mustaffa N, Zakaria N. Success factors in developing iHeart as a patient-centric healthcare system: A multi-group analysis. Telematics and Informatics 2018;35(4):753
    CrossRef
  17. Humble JR, Tolley EA, Krukowski RA, Womack CR, Motley TS, Bailey JE. Use of and interest in mobile health for diabetes self-care in vulnerable populations. Journal of Telemedicine and Telecare 2016;22(1):32
    CrossRef
  18. Borsci S, Buckle P, Walne S. Is the LITE version of the usability metric for user experience (UMUX-LITE) a reliable tool to support rapid assessment of new healthcare technology?. Applied Ergonomics 2020;84:103007
    CrossRef
  19. Jacob C, Sanchez-Vazquez A, Ivory C. Understanding Clinicians’ Adoption of Mobile Health Tools: A Qualitative Review of the Most Used Frameworks. JMIR mHealth and uHealth 2020;8(7):e18072
    CrossRef
  20. Alhodaib HI, Antza C, Chandan JS, Hanif W, Sankaranarayanan S, Paul S, Sutcliffe P, Nirantharakumar K. Mobile Clinical Decision Support System for the Management of Diabetic Patients With Kidney Complications in UK Primary Care Settings: Mixed Methods Feasibility Study. JMIR Diabetes 2020;5(4):e19650
    CrossRef
  21. Xiong J, Zuo M. Adoption of the mobile platform of medical and senior care in China: An empirical examination of perceived value (Preprint). JMIR Aging 2020;
    CrossRef
  22. Nelson LA, Williamson SE, Nigg A, Martinez W. Implementation of Technology-Delivered Diabetes Self-care Interventions in Clinical Care: a Narrative Review. Current Diabetes Reports 2020;20(12)
    CrossRef
  23. Aisyah DN, Ahmad RA, Artama WT, Adisasmito W, Diva H, Hayward AC, Kozlakidis Z. Knowledge, Attitudes, and Behaviors on Utilizing Mobile Health Technology for TB in Indonesia: A Qualitative Pilot Study. Frontiers in Public Health 2020;8
    CrossRef
  24. Zhang X, Zhang R. Impact of Physicians’ Competence and Warmth on Chronic Patients’ Intention to Use Online Health Communities. Healthcare 2021;9(8):957
    CrossRef
  25. Kaium MA, Bao Y, Alam MZ, Hasan N, Hoque MR. Understanding the insight of factors affecting mHealth adoption. International Journal of Research in Business and Social Science (2147- 4478) 2019;8(6):181
    CrossRef
  26. Pedersen K, Schlichter BR. Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review. Interactive Journal of Medical Research 2023;12:e40205
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2159):

  1. . Nutrients in Dairy and their Implications on Health and Disease. 2017. :43
    CrossRef
  2. . Perspectives in the Development of Mobile Medical Information Systems. 2020. :111
    CrossRef
  3. . Perspectives in the Development of Mobile Medical Information Systems. 2020. :75
    CrossRef
  4. . Perspectives in the Development of Mobile Medical Information Systems. 2020. :1
    CrossRef