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

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (542) Adoption and Change Management of eHealth Systems (674)

Published on in Vol 20, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11032, first published .
New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey

New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey

New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey

Authors of this article:

Jorge Tavares1 Author Orcid Image ;   Tiago Oliveira1 Author Orcid Image
Article Authors Cited by (39) Tweetations (4) Metrics

Journals

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  20. Ahadzadeh A, Wu S, Ong F, Deng R. The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study. Journal of Medical Internet Research 2021;23(12):e28086 View
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  24. Yin R, Law K, Neyens D. Examining How Internet Users Trust and Access Electronic Health Record Patient Portals: Survey Study. JMIR Human Factors 2021;8(3):e28501 View
  25. 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
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  28. Viana Pereira F, Tavares J, Oliveira T. Adoption of video consultations during the COVID-19 pandemic. Internet Interventions 2023;31:100602 View
  29. Glöggler M, Ammenwerth E. Improvement and Evaluation of the TOPCOP Taxonomy of Patient Portals: Taxonomy-Evaluation-Delphi (TED) Approach. Journal of Medical Internet Research 2021;23(10):e30701 View
  30. Shao H, Liu C, Tang L, Wang B, Xie H, Zhang Y. Factors Influencing the Behavioral Intentions and Use Behaviors of Telemedicine in Patients With Diabetes: Web-Based Survey Study. JMIR Human Factors 2023;10:e46624 View
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  33. Rahman M, Hasan N, Zhang J, Moral I, Hossain G. Women’s adoption of wearable health-monitoring technology: empirical evidence from a least developed country. Aslib Journal of Information Management 2024 View
  34. Hayar S, Mériade L. La diffusion des outils et services e-santé auprès de leurs utilisateurs : l’exemple de « Mon espace santé » en France. Gestion et management public 2050;Pub. anticipées(5):1f View
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Books/Policy Documents

  1. Tavares J. Political and Economic Implications of Blockchain Technology in Business and Healthcare. View