Digital Literacy: A Barrier to Adoption of Connected Health Technologies in Older Adults

Journals

1. Rising C, Jensen R, Moser R, Oh A. Characterizing the US Population by Patterns of Mobile Health Use for Health and Behavioral Tracking: Analysis of the National Cancer Institute's Health Information National Trends Survey Data. Journal of Medical Internet Research 2020;22(5):e16299 View
2. Jung C. Effect of Digital Literacy and Digital Sales Technology Self-Efficacy on B2B Salespersons’ Job Stress: Moderated-Moderation Analysis. Journal of Channel and Retailing 2021;26(1):47 View
3. Schuster A, Kadylak T, Cotten S. Correlation between socio-demographic factors and adoption and use of wearable activity trackers in online American older adults. Educational Gerontology 2023;49(1):1 View
4. Compernolle S, Vetrovsky T, Maes I, Delobelle J, Lebuf E, De Vylder F, Cnudde K, Van Cauwenberg J, Poppe L, Van Dyck D. Older adults’ compliance with mobile ecological momentary assessments in behavioral nutrition and physical activity research: pooled results of four intensive longitudinal studies and recommendations for future research. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View
5. Wu C, Lim G. Investigating older adults users’ willingness to adopt wearable devices by integrating the technology acceptance model (UTAUT2) and the Technology Readiness Index theory. Frontiers in Public Health 2024;12 View
6. Tsai I, Wei H, Chen P, Choudhury A. User Preferences for Medical Digital Transformation: A Case Study of Orthodontic Services. Human Behavior and Emerging Technologies 2024;2024(1) View
7. Alipour P, El-Aghil M, Foo A, Azizi Z. Leveraging Mobile Health and Wearable Technologies for the Prevention and Management of Atherosclerotic Cardiovascular Disease. Current Atherosclerosis Reports 2025;27(1) View
8. Yang T, Zheng H, Cao S, Jing M, Hu J, Zuo Y, Zhang J, Chen Q. Harnessing an LLM AI with personal health record capability for personalized information support in post-surgery myocardial infarction: A descriptive qualitative study (Preprint). Journal of Medical Internet Research 2024 View
9. Lee J, Kim J, Choi M, Shin J. A choice based conjoint analysis of mobile healthcare application preferences among physicians, patients, and individuals. npj Digital Medicine 2025;8(1) View
10. Brin M, Fontalvo S, Hu D, Cioe P, Huang M, Xu W, Schnall R. Validating the information technology (IT) implementation framework to Implement mHealth technology for consumers: A case study of the Sense2Quit app for smoking cessation. International Journal of Medical Informatics 2025;202:105977 View
11. Gandomkar F, Pirzadeh N, Bahadori F, Zandieh Z, Abolfathi Momtaz Y, Mohammadi shahboulaghi F. Technology Adoption in Older Adults: A Systematic Review Using Grounded Theory (Preprint). JMIR Human Factors 2024 View
12. Neville S, Ziser L, Henders A, Milne J, Ngo S, Packer R, Steyn F. Assessment of the “MND-Prism” smartphone application as a tool for self-management. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 2025;26(7-8):673 View
13. Johnson D. Integrating mHealth into Primary Care: A Stakeholder-Informed and Systems Framework. Journal of Technology in Behavioral Science 2025 View