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

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (573) Adoption and Change Management of eHealth Systems (712)

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 (43) Tweetations (4) Metrics

Journals

  1. Salahuddin L, Ismail Z, Raja Ikram R, Hashim U, Idris A, Ismail N, Hassan N, Abdul Rahim F. Safe use of hospital information systems: an evaluation model based on a sociotechnical perspective. Behaviour & Information Technology 2020;39(2):188 View
  2. Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023 View
  3. Salgado T, Tavares J, Oliveira T. Drivers of Mobile Health Acceptance and Use From the Patient Perspective: Survey Study and Quantitative Model Development. JMIR mHealth and uHealth 2020;8(7):e17588 View
  4. Nayak B, Bhattacharyya S, Krishnamoorthy B. Democratizing health insurance services; accelerating social inclusion through technology policy of health insurance firms. Business Strategy & Development 2019;2(3):242 View
  5. Honein-AbouHaidar G, Antoun J, Badr K, Hlais S, Nazaretian H. Users’ acceptance of electronic patient portals in Lebanon. BMC Medical Informatics and Decision Making 2020;20(1) View
  6. Jackman K, Murray S, Hightow-Weidman L, Trent M, Wirtz A, Baral S, Jennings J, Morgan E. Digital technology to address HIV and other sexually transmitted infection disparities: Intentions to disclose online personal health records to sex partners among students at a historically Black college. PLOS ONE 2020;15(8):e0237648 View
  7. Zhang Y, Liu C, Luo S, Huang J, Li X, Zhou Z. Effectiveness of Lilly Connected Care Program (LCCP) App-Based Diabetes Education for Patients With Type 2 Diabetes Treated With Insulin: Retrospective Real-World Study. JMIR mHealth and uHealth 2020;8(3):e17455 View
  8. Su Z, Chengbo Z, Mackert M. Understanding the influenza vaccine as a consumer health technology: a structural equation model of motivation, behavioral expectation, and vaccine adoption. Journal of Communication in Healthcare 2019;12(3-4):170 View
  9. Ye T, Xue J, He M, Gu J, Lin H, Xu B, Cheng Y. Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(10):e14316 View
  10. Khan I, Xitong G, Ahmad Z, Shahzad F. Investigating Factors Impelling the Adoption of e-Health: A Perspective of African Expats in China. Sage Open 2019;9(3) View
  11. Foster B, Krasowski M. The Use of an Electronic Health Record Patient Portal to Access Diagnostic Test Results by Emergency Patients at an Academic Medical Center: Retrospective Study. Journal of Medical Internet Research 2019;21(6):e13791 View
  12. Rahman M, Das S, Hossain G, Tajrin T. Teenagers’ behavioural intention towards wearable technologies and intention to recommend others: an empirical study in Bangladesh. Journal of Science and Technology Policy Management 2022;13(1):110 View
  13. Jackman K, Dangerfield D, Yang C, Trent M, Kharrazi H, Johnson R, Latkin C. Behavioral Intentions to Use Patient Portals to Disclose HIV and Other Sexually Transmitted Infection Testing Histories with Sexual Partners Among U.S. Sexual Minority Men. AIDS and Behavior 2021;25(4):1199 View
  14. Jackman K, Kane J, Kharrazi H, Johnson R, Latkin C. Using the Patient Portal Sexual Health Instrument in Surveys and Patient Questionnaires Among Sexual Minority Men in the United States: Cross-sectional Psychometric Validation Study. Journal of Medical Internet Research 2021;23(2):e18750 View
  15. Alsahafi Y, Gay V, Khwaji A. Factors affecting the acceptance of integrated electronic personal health records in Saudi Arabia: The impact of e-health literacy. Health Information Management Journal 2022;51(2):98 View
  16. Tsai W, Wu Y, Cheng C, Kuo M, Chang Y, Hu F, Sun C, Chang C, Chan T, Chen C, Lee C, Chu C. A Technology Acceptance Model for Deploying Masks to Combat the COVID-19 Pandemic in Taiwan (My Health Bank): Web-Based Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(4):e27069 View
  17. Octavius G, Antonio F, Colloc J. Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers. International Journal of Telemedicine and Applications 2021;2021:1 View
  18. Heinsch M, Wyllie J, Carlson J, Wells H, Tickner C, Kay-Lambkin F. Theories Informing eHealth Implementation: Systematic Review and Typology Classification. Journal of Medical Internet Research 2021;23(5):e18500 View
  19. Hägglund M, Scandurra I. User Evaluation of the Swedish Patient Accessible Electronic Health Record: System Usability Scale. JMIR Human Factors 2021;8(3):e24927 View
  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
  21. Glöggler M, Ammenwerth E. Development and Validation of a Useful Taxonomy of Patient Portals Based on Characteristics of Patient Engagement. Methods of Information in Medicine 2021;60(S 01):e44 View
  22. Dharanikota S, LeRouge C, Lyon V, Durneva P, Thompson M. Identifying Enablers of Participant Engagement in Clinical Trials of Consumer Health Technologies: A Qualitative Study of flu@home (Preprint). Journal of Medical Internet Research 2020 View
  23. Hartono I, Della T, Kawi Y, Yuniarty . Determinants factor affecting user continuance usage and intention to recommend of mobile telemedicine. IOP Conference Series: Earth and Environmental Science 2021;794(1):012079 View
  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
  26. Ferreira L, Oliveira T, Neves C. Consumer's intention to use and recommend smart home technologies: The role of environmental awareness. Energy 2023;263:125814 View
  27. Lee S, Choi M, Yu S, Kim H, Park S, Choi I. Development and evaluation of smartphone usage management system for preventing problematic smartphone use. DIGITAL HEALTH 2022;8:205520762210890 View
  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
  31. El Yaman N, Zeitoun J, Diab R, Mdaihly M, Diab R, Kobeissi L, Abou Ljoud S, Antoun J, Bardus M. Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality. BMC Medical Informatics and Decision Making 2023;23(1) View
  32. Singh A, Sarmah R, Mehra P. Factors Affecting the Role of IMC on LGBT Communities’ Intention to Recommend Technology Products. Vision: The Journal of Business Perspective 2023 View
  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
  35. Zou X, Na Y, Lai K, Liu G. Unpacking public resistance to health Chatbots: a parallel mediation analysis. Frontiers in Psychology 2024;15 View
  36. . Accept or Reject? Investigating Customers’ Attitudes Toward Green Cosmetics in Bangladesh. Journal of Sustainability Research 2024;6(2) View
  37. Harun Z, Muhammad N, Hussein Z, Fikri A, Abdul A. Factors influencing patients’ intention to use the Health Clinic Online Appointment System app. Information Management and Business Review 2024;16(2(I)):53 View
  38. Carraher-Wolverton C. Examining the role of expectations in outsourcing success utilizing the hierarchy of effects model. Journal of Systems and Information Technology 2024;26(3):395 View
  39. Tamakloe R, Caesar L. Decoding the patterns of critical factor associations driving electric vehicle recommendations. Transportation Research Part A: Policy and Practice 2024;187:104171 View
  40. Yang Y, Tavares J, Oliveira T. A New Research Model for Artificial Intelligence–Based Well-Being Chatbot Engagement: Survey Study. JMIR Human Factors 2024;11:e59908 View

Books/Policy Documents

  1. Tavares J. Political and Economic Implications of Blockchain Technology in Business and Healthcare. View
  2. Thongmak M. Business in Uncertainty. View