Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21831, first published .
Influence Mechanism of the Affordances of Chronic Disease Management Apps on Continuance Intention: Questionnaire Study

Influence Mechanism of the Affordances of Chronic Disease Management Apps on Continuance Intention: Questionnaire Study

Influence Mechanism of the Affordances of Chronic Disease Management Apps on Continuance Intention: Questionnaire Study

Authors of this article:

Yongmei Liu1 Author Orcid Image ;   Fei Jiang1 Author Orcid Image ;   Peiyang Lin1 Author Orcid Image

Journals

  1. 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
  2. Xie Q, Hu X, Wang Y, Peng J, Cheng L. Exploration of the health needs of patients with poorly controlled type 2 diabetes using a user-centred co-production approach in the area of mHealth: an exploratory sequential mixed-method protocol. BMJ Open 2022;12(12):e063814 View
  3. Yang H, Guo X, Peng Z, Lai K. Patient empowerment in an online health platform: Exploring the quadratic effects of patients’ conscious-competence on perceived health status. Computers in Human Behavior 2022;136:107346 View
  4. Jiang S, Zhang L, Teo K. Social Use of Fitness Apps and Physical Activity Knowledge: The Roles of Information Elaboration and Interpersonal Communication. Journal of Broadcasting & Electronic Media 2021;65(4):549 View
  5. 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
  6. Wang Z, Deng R. Research on the continued intention to use fitness games based on user experience. Kybernetes 2024 View
  7. Wang T, Wang W, Feng J, Fan X, Guo J, Lei J. A novel user-generated content-driven and Kano model focused framework to explore the impact mechanism of continuance intention to use mobile APPs. Computers in Human Behavior 2024;157:108252 View
  8. Wu T, Cai X, Fan B, Li R, Wang Q, Deng Z. Community Health Workers’ Continuance of Mobile Health Applications: An Extended Expectation Confirmation Model. Information & Management 2024:104008 View