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

Telehealth and Telemonitoring (1668)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22081, first published .
Investigating Patients’ Intention to Continue Using Teleconsultation to Anticipate Postcrisis Momentum: Survey Study

Investigating Patients’ Intention to Continue Using Teleconsultation to Anticipate Postcrisis Momentum: Survey Study

Investigating Patients’ Intention to Continue Using Teleconsultation to Anticipate Postcrisis Momentum: Survey Study

Authors of this article:

Antoine Grenier Ouimet1 Author Orcid Image ;   Gerit Wagner1 Author Orcid Image ;   Louis Raymond2 Author Orcid Image ;   Guy Pare1 Author Orcid Image
Article Authors Cited by (13) Tweetations (3) Metrics

Journals

  1. Amin R, Hossain M, Uddin M, Jony M, Kim M. Stimuli Influencing Engagement, Satisfaction, and Intention to Use Telemedicine Services: An Integrative Model. Healthcare 2022;10(7):1327 View
  2. Wu C, Zhou Y, Wang R, Huang S, Yuan Q. Understanding the Mechanism Between IT Identity, IT Mindfulness and Mobile Health Technology Continuance Intention: An Extended Expectation Confirmation Model. Technological Forecasting and Social Change 2022;176:121449 View
  3. Paré G, Raymond L, Pomey M, Grégoire G, Castonguay A, Ouimet A. Medical students’ intention to integrate digital health into their medical practice: A pre-peri COVID-19 survey study in Canada. DIGITAL HEALTH 2022;8:205520762211141 View
  4. 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
  5. Bouabida K, Malas K, Talbot A, Desrosiers M, Lavoie F, Lebouché B, Taghizadeh N, Normandin L, Vialaron C, Fortin O, Lessard D, Pomey M. Healthcare Professional Perspectives on the Use of Remote Patient-Monitoring Platforms during the COVID-19 Pandemic: A Cross-Sectional Study. Journal of Personalized Medicine 2022;12(4):529 View
  6. Shen Y, Xu W, Liang A, Wang X, Lu X, Lu Z, Gao C. Online health management continuance and the moderating effect of service type and age difference: A meta-analysis. Health Informatics Journal 2022;28(3) View
  7. Li X, Xie S, Ye Z, Ma S, Yu G. Investigating Patients' Continuance Intention Toward Conversational Agents in Outpatient Departments: Cross-sectional Field Survey. Journal of Medical Internet Research 2022;24(11):e40681 View
  8. Zahoor A, Khan Z, Khan A, Qamar N, Farooqui S, Allana R. Clinician satisfaction and experience using teleconsultation during the COVID-19 pandemic in Pakistan: A cross-sectional study. International Archives of Health Sciences 2023;10(1):7 View
  9. Rosas F, Gayoso A, Tomateo D, Orellano C. Patient Perceptions on Telepsychiatry as an In-Consult Alternative During COVID-19 Pandemic: Peruvian Adaptation of the Telehealth Usability Questionnaire. Telemedicine and e-Health 2024;30(6):e1727 View
  10. Min H, Li J, Di M, Huang S, Sun X, Li T, Wu Y. Factors influencing the continuance intention of the women’s health WeChat public account: an integrated model of UTAUT2 and HBM. Frontiers in Public Health 2024;12 View
  11. Kahan S, Rahill S. Effectiveness and acceptability of remote consultation to promote positive behaviors in preschoolers. Psychology in the Schools 2024;61(10):3982 View

Books/Policy Documents

  1. Gupta M, Kalra R. System Design for Epidemics Using Machine Learning and Deep Learning. View
  2. Tandon A, Nambiar U, Sivapuram M, Kumar A. Proceedings of the 14th Indian Conference on Human-Computer Interaction. View