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

Digital Health Reviews (1865) Clinical Informatics (1483) Adoption and Change Management of eHealth Systems (980) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (707)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64524, first published .
Determinants of Health Care Technology Adoption Using an Integrated Unified Theory of Acceptance and Use of Technology and Task Technology Fit Model: Systematic Review and Meta-Analysis

Determinants of Health Care Technology Adoption Using an Integrated Unified Theory of Acceptance and Use of Technology and Task Technology Fit Model: Systematic Review and Meta-Analysis

Determinants of Health Care Technology Adoption Using an Integrated Unified Theory of Acceptance and Use of Technology and Task Technology Fit Model: Systematic Review and Meta-Analysis

Authors of this article:

Ayesha Thanthrige1 Author Orcid Image ;   Bruce Lu2 Author Orcid Image ;   Zaid Sako1 Author Orcid Image ;   Nilmini Wickramasinghe1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

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  1. Țuclea C, Poenaru L. Generation Z Employees’ Acceptance and AI Use Intensity: A Moderated Mediation Model of Psychological Safety, Technostress, and Trust. Merits 2026;6(1):7 View
  2. Yan L, Bai X, Lin X, Lai J, Sun S, Chen H, Liu R, Hu R. Determinants of the Public’s Behavioral Intention to Adopt AI-Assisted Lung Cancer Screening: An Extended UTAUT Model Integrating Trust and Risk. Healthcare 2026;14(7):945 View
  3. Vanherle R, Beullens K. What Shapes Health App Use and Its Outcomes in Emerging Adults? The Cognitive Appraisals and Motivational Orientation Model. Health Communication 2026:1 View
  4. Tan N. Large language model–assisted radiology reporting in a single-radiologist implementation: a retrospective cohort study interpreted through a UTAUT lens. Abdominal Radiology 2026 View
  5. Yusi̇fov M, Yılmaz R. Evaluation of healthcare professionals’ acceptance of digital intraoperative hemodynamic data recording using the technology acceptance model. Journal of Surgery and Medicine 2026;10(4):121 View
  6. Najsrova A, Banikova S, Szegedi I, Horakova N, Hotkova D, Vitova K, Fiedorova I, Trda J, Volny O. Patient Attitudes Toward Virtual Reality Telerehabilitation After Subacute Stroke: A Follow-Up Study. Bratislava Medical Journal 2026 View