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Published on in Vol 8 (2025)

This is a member publication of University of Strathclyde (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80000, first published .
Barriers to and Facilitators of Digital Health Technology Adoption Among Older Adults With Chronic Diseases: Updated Systematic Review

Barriers to and Facilitators of Digital Health Technology Adoption Among Older Adults With Chronic Diseases: Updated Systematic Review

Barriers to and Facilitators of Digital Health Technology Adoption Among Older Adults With Chronic Diseases: Updated Systematic Review

Authors of this article:

Jennifer Hepburn1 Author Orcid Image ;   Lynn Williams1 Author Orcid Image ;   Lisa McCann2 Author Orcid Image

Journals

  1. Shao Y, Hou X, Peng Q, Hu M, Li C. A meta-synthesis of qualitative studies on cardiovascular disease patients’ experiences using digital health tools. Frontiers in Public Health 2025;13 View
  2. Kotlega D, Kobus-Kotlega K, Szczuko M. Narrative Review on Post-Stroke Outcomes Through Recognition of Frailty, Sarcopenia, and Palliative Care Needs. Healthcare 2025;13(23):3011 View
  3. Deng T, Xue Y, Methakanjanasak N. Digital health integration in chronic kidney disease. Clinica Chimica Acta 2026;582:120749 View
  4. Schwedler K, Ostermann T, Ehlers J, Hohenberg G. Telemedicine and AI-Powered Chatbots: Potential and Challenges for Home Care Provided by Family Caregivers. Healthcare 2025;13(23):3159 View
  5. Jeong T, Hwang G, Kim D. A Generative AI Framework for Cognitive Intervention in Older Adults: An Integrated Engineering Design and Clinical Protocol. Healthcare 2025;13(24):3225 View
  6. Pyrrou M, Tsiakiri A, Vadikolias K, Proios H. Barriers and Facilitators in Secondary Stroke Prevention Among Older Adults: An International Systematic Review of Randomized Controlled Trials. Healthcare 2025;13(24):3260 View
  7. Wang W, Pan X, Yan Y, Ye X. Technology readiness of patients and its association with intention to use nursing robots: latent profile analysis. BMC Nursing 2025;25(1) View
  8. Li R, Xu X, Gong L, Li T, Deng F, Leng Y, Liu W, Gao S, Chen F, Wang L, Han J. The impact of demographic characteristics on health literacy in the population: a mixed model analysis based on panel survey data from China. BMC Public Health 2025;26(1) View
  9. YiFei Y, Supromin C, Pasitpakakul P. Bridging the Innovation Gap: The Mediating Role of Technological Adoption in Enhancing Elderly Care Service Quality in Zigong, China. Asian Journal of Interdisciplinary Research 2025:375 View
  10. Alem S, Nguyen L, Hipólito N, Spiller M, Metting E. Intention to Use Digital Health Among COPD Patients in Europe: A Cluster Analysis. Healthcare 2026;14(2):178 View
  11. Sukenova D, Nikolic D, Izekenova A, Nurbakyt A, Izekenova A, Macijauskiene J. Ageing and Quality of Life in Older Adults: Updates and Perspectives of Psychosocial and Advanced Technological Interventions. Healthcare 2026;14(2):217 View
  12. Reyhan M, Shalchi B, Asadzadeh A, Matlabi H, Rezaei-Hachesu P. Digital health in elder abuse: a scoping review and conceptual model. BMC Geriatrics 2026 View
  13. Nash P, Lewis L. Providing acute care at home to older adults with frailty: nurses’ experiences of working with a hospital at home service. Nursing Older People 2026 View
  14. Zhang B, Liu H. Design thinking as health intervention strategy for active aging from 2014 to 2024: A systematic review. WORK: A Journal of Prevention, Assessment & Rehabilitation 2026 View
  15. Petrová P, Bruthans J, Ondrejková M. From pilot to policy: Adoption of the National mHealth application EZKarta in Czechia. DIGITAL HEALTH 2026;12 View
  16. 彭 思, 汪 旻, 王 翔, 袁 娟, 张 传, 胡 倩, 葛 婕. 基于精准健康模型的失能老年群体数字健康管理效能演化机制与治理 路径研究. 临床医药循证研究 2026;2(1):22 View