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

Theoretical Frameworks and Concepts (335) Adoption and Change Management of eHealth Systems (883) Health Services Research and Health Care Utilization in Older Patients (137) E-Health / Health Services Research and New Models of Care (712) Digital Health, Telehealth and e-Innovation in Clinical Settings (546) Internet Access and Digital Technology Use in an Elderly Population (319) New Services for the Elderly (66) Digital Health Reviews (1704)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31920, first published .
Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis

Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis

Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis

Authors of this article:

Jiyeon Yu1 Author Orcid Image ;   Angelica de Antonio1 Author Orcid Image ;   Elena Villalba-Mora2, 3 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Journals

  1. Cao J, Kurata K, Lim Y, Sengoku S, Kodama K. Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model. International Journal of Environmental Research and Public Health 2022;19(22):15156 View
  2. Östlund B, Malvezzi M, Frennert S, Funk M, Gonzalez-Vargas J, Baur K, Alimisis D, Thorsteinsson F, Alonso-Cepeda A, Fau G, Haufe F, Di Pardo M, Moreno J. Interactive robots for health in Europe: Technology readiness and adoption potential. Frontiers in Public Health 2023;11 View
  3. Yuen K, Chua J, Li X, Wang X. The determinants of users’ intention to adopt telehealth: Health belief, perceived value and self-determination perspectives. Journal of Retailing and Consumer Services 2023;73:103346 View
  4. Lu C, Tsai-Lin T. Are Older Adults Special in Adopting Public eHealth Service Initiatives? The Modified Model of UTAUT. Sage Open 2024;14(1) View
  5. Cao X, Zhang H, Zhou B, Wang D, Cui C, Bai X. Factors influencing older adults’ acceptance of voice assistants. Frontiers in Psychology 2024;15 View
  6. Al-Adwan A, Alsoud M, Li N, Majali T, Smedley J, Habibi A. Unlocking future learning: Exploring higher education students' intention to adopt meta-education. Heliyon 2024;10(9):e29544 View
  7. Felber N, Alavi H, Mugellini E, Wangmo T. The smart home, a true home? How new technologies disrupt the experience of home for older persons. Universal Access in the Information Society 2025;24(1):897 View
  8. Goerss D, Köhler S, Rong E, Temp A, Kilimann I, Bieber G, Teipel S. Smartwatch-Based Interventions for People With Dementia: User-Centered Design Approach. JMIR Aging 2024;7:e50107 View
  9. Turja T, Jylhä V, Rosenlund M, Kuusisto H. Beyond early and late adopters: Reimagining health technology readiness through health-related circumstances. Sustainable Futures 2025;10:101003 View
  10. Al-Tamimi A, Hewitt L, Cameron D, Salem M, Moemeni A. Challenges of Integrating Assistive Technologies and Robots with Embodied Intelligence in the Homes of Older People Living with Frailty. Applied Sciences 2025;15(15):8415 View

Dissertations

  1. . The Impact of Information Literacy on Health Management among Senior Adults with Hypertension. View