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

Evaluation and Research Methodology for mHealth (208) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (491) Quality/Credibility of eHealth Information and Trust Issues (531) Theoretical Frameworks and Concepts (252)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17258, first published .
Exploring Patients' Intentions for Continuous Usage of mHealth Services: Elaboration-Likelihood Perspective Study

Exploring Patients' Intentions for Continuous Usage of mHealth Services: Elaboration-Likelihood Perspective Study

Exploring Patients' Intentions for Continuous Usage of mHealth Services: Elaboration-Likelihood Perspective Study

Authors of this article:

Xitong Guo1, 2 Author Orcid Image ;   Shuqing Chen2 Author Orcid Image ;   Xiaofei Zhang3 Author Orcid Image ;   Xiaofeng Ju2 Author Orcid Image ;   Xifu Wang1 Author Orcid Image
Article Authors Cited by (34) Tweetations (5) Metrics

Journals

  1. Li D, Hu Y, Pfaff H, Wang L, Deng L, Lu C, Xia S, Cheng S, Zhu X, Wu X. Determinants of Patients’ Intention to Use the Online Inquiry Services Provided by Internet Hospitals: Empirical Evidence From China. Journal of Medical Internet Research 2020;22(10):e22716 View
  2. Zhu M, Wu C, Huang S, Zheng K, Young S, Yan X, Yuan Q. Privacy paradox in mHealth applications: An integrated elaboration likelihood model incorporating privacy calculus and privacy fatigue. Telematics and Informatics 2021;61:101601 View
  3. Song T, Deng N, Cui T, Qian S, Liu F, Guan Y, Yu P. Measuring Success of Patients’ Continuous Use of Mobile Health Services for Self-management of Chronic Conditions: Model Development and Validation. Journal of Medical Internet Research 2021;23(7):e26670 View
  4. Volpi S, Biduski D, Bellei E, Tefili D, McCleary L, Alves A, De Marchi A. Using a mobile health app to improve patients’ adherence to hypertension treatment: a non-randomized clinical trial. PeerJ 2021;9:e11491 View
  5. Gamsizkan Z, Kaya A, Sungur M. The Increasing Importance of the e-Health System after the COVID-19 Outbreak with New Healthcare Expectations. Eurasian Journal of Family Medicine 2021;10(2):84 View
  6. Cao J, Lim Y, Sengoku S, Guo X, Kodama K. Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis. JMIR mHealth and uHealth 2021;9(9):e31097 View
  7. Song J, Li Y, Guo X, Shen K, Ju X. Making Mobile Health Information Advice Persuasive. Journal of Organizational and End User Computing 2022;34(4):1 View
  8. Ma X, Liu Y, Zhang P, Qi R, Meng F. Understanding online health information seeking behavior of older adults: A social cognitive perspective. Frontiers in Public Health 2023;11 View
  9. Saini V, Liang L, Yang Y, Le H, Wu C. The Association Between Dissemination and Characteristics of Pro-/Anti-COVID-19 Vaccine Messages on Twitter: Application of the Elaboration Likelihood Model. JMIR Infodemiology 2022;2(1):e37077 View
  10. Fitri Kinasih Husnul Khotimah , Fahmi I, Sri Hartono . The Antecedents of Intention to Use Telemedicine. Journal of Consumer Sciences 2022;7(2):97 View
  11. Jiang Y, Lau A. Understanding Post-Adoption Behavioral Intentions of Mobile Health Service Users: An Empirical Study during COVID-19. International Journal of Environmental Research and Public Health 2023;20(5):3907 View
  12. Jacob C, Sezgin E, Sanchez-Vazquez A, Ivory C. Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis. JMIR mHealth and uHealth 2022;10(5):e36284 View
  13. Mikulski B, Bellei E, Biduski D, De Marchi A. Mobile Health Applications and Medication Adherence of Patients With Hypertension: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2022;62(4):626 View
  14. Lu F, Huang X, Wang X. Willingness to Pay for Mobile Health Live Streaming during the COVID-19 Pandemic: Integrating TPB with Compatibility. Sustainability 2022;14(23):15932 View
  15. Wang T, Sun Y, Liao S. Physical Self Matters: How the Dual Nature of Body Image Influences Smart Watch Purchase Intention. Frontiers in Psychology 2022;13 View
  16. Al-shami S, Aldahmani S, Kamalrudin M, Al-Kumaim N, Al Mamun A, Al-shami M, Jaber M. A Model of Motivational and Technological Factors Influencing Massive Open Online Courses’ Continuous Intention to Use. Sustainability 2022;14(15):9279 View
  17. Gao C, Shen Y, Xu W, Zhang Y, Tu Q, Zhu X, Lu Z, Yang Y. A fuzzy-set qualitative comparative analysis exploration of multiple paths to users’ continuous use behavior of diabetes self-management apps. International Journal of Medical Informatics 2023;172:105000 View
  18. Zhu Z, Liu Y, Cao X, Dong W. Factors Affecting Customer Intention to Adopt a Mobile Chronic Disease Management Service. Journal of Organizational and End User Computing 2021;34(4):1 View
  19. Xu Q, Hou X, Xiao T, Zhao W. Factors Affecting Medical Students’ Continuance Intention to Use Mobile Health Applications. Journal of Multidisciplinary Healthcare 2022;Volume 15:471 View
  20. Wang T, Wang W, Liang J, Nuo M, Wen Q, Wei W, Han H, Lei J. Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis. npj Digital Medicine 2022;5(1) View
  21. Cao J, Kurata K, Lim Y, Sengoku S, Kodama K. Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model. International Journal of Environmental Research and Public Health 2022;19(22):15156 View
  22. Wang M, Yang W. What Drives Rural Consumers to Change E-Commerce Attitude and Adopt E-Commerce through the Moderating Role of Corporate Social Responsibility in an Emerging Market? An Empirical Investigation in the Chinese Context. Sustainability 2021;13(23):13148 View
  23. Cadet J, Sutherlin S, Burke R, Grima S. Public safety messaging during super bowl LVI: A pilot study and modified framework. PLOS ONE 2023;18(4):e0284921 View
  24. Kuen L, Westmattelmann D, Bruckes M, Schewe G. Who earns trust in online environments? A meta-analysis of trust in technology and trust in provider for technology acceptance. Electronic Markets 2023;33(1) View
  25. Peuters C, Maenhout L, Cardon G, De Paepe A, DeSmet A, Lauwerier E, Leta K, Crombez G. A mobile healthy lifestyle intervention to promote mental health in adolescence: a mixed-methods evaluation. BMC Public Health 2024;24(1) View
  26. Yadav R, Chatterjee S, Giri A. Understanding the factors influencing the continuous usage intention of healthcare apps: analysing the moderating impact of psychological distance and health consciousness. Behaviour & Information Technology 2024:1 View
  27. Zhang X, Du H, Liu X, Liu L, Zhang T. Knowledge, Attitudes and Practices Towards Psoriasis Among Patients and Their Family Members. Clinical, Cosmetic and Investigational Dermatology 2024;Volume 17:769 View
  28. Becker M, Matt C. How individuals perceive and process diagnostic device errors. Journal of Decision Systems 2024:1 View
  29. Yan J, Liang C, Gu D, Zhu K, Zhou P. Understanding patients’ doctor choice behavior: Elaboration likelihood perspective. Information Development 2024 View
  30. Cao J, Feng H, Lim Y, Kodama K, Zhang S. How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience. Behavioral Sciences 2024;14(6):498 View
  31. Li J. Promoting HPV vaccination: effectiveness of mobile short videos for shaping attitudes and influencing behaviors. Humanities and Social Sciences Communications 2024;11(1) View
  32. Pang H, Qiao Y, Li Y, Wang L. Do network externalities and perceived gratifications boost WeChat continued use? Combining perspectives of network externalities and uses and gratifications. Acta Psychologica 2024;251:104610 View

Books/Policy Documents

  1. Kodama K, Kurata K, CAO J. Mobile Health (mHealth). View