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

Journals

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 View
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 View
3. Okazaki S, Castañeda J, Sanz S. Clinicians’ Assessment of Mobile Monitoring: A Comparative Study in Japan and Spain. Medicine 2.0 2013;2(2):e11 View
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 View
5. Boyle L, Grainger R, Hall R, Krebs J. 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 View
6. Sezgin E, Özkan-Yildirim S, Yildirim S. Understanding the perception towards using mHealth applications in practice. Information Development 2018;34(2):182 View
7. Alam M, Hoque M, 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 View
8. Salari R, Niakan Kalhori S, Fatehi F, Ghazisaeedi M, Nazari M. Determining minimum set of features for diabetes mobile apps. Journal of Diabetes & Metabolic Disorders 2019;18(2):333 View
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 View
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 View
11. Lee V, Ooi K, Chong A, Sohal A. The effects of supply chain management on technological innovation: The mediating role of guanxi. International Journal of Production Economics 2018;205:15 View
12. Andrawis J, Muzykewicz D, Franko O. Mobile Device Trends in Orthopedic Surgery: Rapid Change and Future Implications. Orthopedics 2016;39(1) View
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 View
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 View
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 View
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 View
17. Humble J, Tolley E, Krukowski R, Womack C, Motley T, Bailey J. Use of and interest in mobile health for diabetes self-care in vulnerable populations. Journal of Telemedicine and Telecare 2016;22(1):32 View
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 View
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 View
20. Alhodaib H, Antza C, Chandan J, 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 View
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 View
22. Nelson L, Williamson S, Nigg A, Martinez W. Implementation of Technology-Delivered Diabetes Self-care Interventions in Clinical Care: a Narrative Review. Current Diabetes Reports 2020;20(12) View
23. Aisyah D, Ahmad R, Artama W, Adisasmito W, Diva H, Hayward A, 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 View
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 View
25. Kaium M, Bao Y, Alam M, Hasan N, Hoque M. Understanding the insight of factors affecting mHealth adoption. International Journal of Research in Business and Social Science (2147- 4478) 2019;8(6):181 View
26. Pedersen K, Schlichter B. Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review. Interactive Journal of Medical Research 2023;12:e40205 View

Books/Policy Documents

1. Galhotra R. Nutrients in Dairy and their Implications on Health and Disease. View
2. Keikhosrokiani P. Perspectives in the Development of Mobile Medical Information Systems. View
3. Keikhosrokiani P. Perspectives in the Development of Mobile Medical Information Systems. View
4. Keikhosrokiani P. Perspectives in the Development of Mobile Medical Information Systems. View