Accessibility settings

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

Theme Issue 2024: 25 Years of Digital Health Excellence (56) Mobile Health (mhealth) (3726) Adoption and Change Management of eHealth Systems (979) Theoretical Frameworks and Concepts (398) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (707)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62790, first published .
Evolutionary Trends in the Adoption, Adaptation, and Abandonment of Mobile Health Technologies: Viewpoint Based on 25 Years of Research

Evolutionary Trends in the Adoption, Adaptation, and Abandonment of Mobile Health Technologies: Viewpoint Based on 25 Years of Research

Evolutionary Trends in the Adoption, Adaptation, and Abandonment of Mobile Health Technologies: Viewpoint Based on 25 Years of Research

Authors of this article:

Jennifer Portz1, 2 Author Orcid Image ;   Susan Moore2 Author Orcid Image ;   Sheana Bull2 Author Orcid Image
Article Authors Cited by (22) Tweetations Metrics

Journals

  1. Valliyappan I, Lee Y, Ng C, Lim H. Exploring primary care doctors’ perceptions and experiences in adopting mHealth with patients: A qualitative study. DIGITAL HEALTH 2025;11 View
  2. Sterba K, Graboyes E, Burris J, Scallion M, Kinder H, Olsen J, Toll B, Armeson K, Day T, Chera B, Ruggiero K. Development of a Mobile App to Support Head and Neck Cancer Caregiving: Mixed Methods Study. JMIR Cancer 2025;11:e66471 View
  3. Bakula D, Zax A, Edwards S, Nash K, Escobar A, Graham R, Ricketts A, Thompson R, Bullard S, Brogren J, Shimmens L, Erickson L. Applying the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework to Adapt the CHAMP App for Pediatric Feeding Tube Weaning: Application and Case Report. JMIR Formative Research 2025;9:e67398 View
  4. Bartłomiejczyk N, De Santo A, Holzer A. Gamified Physical-Digital Smoking Cessation Intervention for Young Adults: Mixed Methods Development and Usability Study. JMIR Human Factors 2025;12:e72749 View
  5. Lee W, Shin S. Patients’ perceptions of service quality in mobile health apps: the role of Need-for-Touch and physician characteristics in the post-COVID-19 era. International Journal of Health Care Quality Assurance 2025;38(4):218 View
  6. Shen Q, Kan H, Wang R, Li N, Wang S, Rong X. Bibliometric and visual analysis of digital healthcare in cancer pain management via mobile apps. Medicine 2025;104(31):e43603 View
  7. Cheng Q, Chen P, Dai R, Jia Q, Bai X, Cao Q, Li Q, Wu Y, Huang Y. Comparative Effectiveness of Digital Health Technologies in Tuberculosis Treatment: Systematic Review and Network Meta-Analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2025;13:e75424 View
  8. Gleaton E, Catrambone R. A Taxonomy for Understanding the Disuse of Technology by Older Adults: A Qualitative Analysis of Disuse of Smart Speakers. Human Factors: The Journal of the Human Factors and Ergonomics Society 2026;68(3):354 View
  9. Gellasch P, Kartoz C, D’Antonio G. Wearable Activity Trackers: Nurse Practitioners’ Knowledge, Perceptions, and Experiences. The Journal for Nurse Practitioners 2025;21(10):105558 View
  10. Nascimento L, Trizotto R, Sott M, Lago N, Pivoto D, Costa Júnior J, Cortimiglia M. Sustainable business model innovation: bibliometric review and maturity matrix for benchmarking social, environmental and economic dimensions. Benchmarking: An International Journal 2025:1 View
  11. Wen H, Wen W. “The Brain’s Behind the Operation”: Using Activity Theory to Investigate Pre-Service Teachers’ Processes of Designing AI-Assisted Unit Plan. Journal of Research in Childhood Education 2026;40(1):90 View
  12. Shin S, Lee W. Factors Driving Continuous Intention to Use Telemedicine in the Post-COVID-19 Era: An Integrated HBM and UTAUT Approach. Health Marketing Quarterly 2025;42(4):407 View
  13. Jockusch J, Schneider S, Hochuli A, Joerger-Messerli M, Surbek D, Radan A. Healthcare Professionals’ Perceptions and Acceptance of Telemonitoring During Pregnancy and Early Labor: A Single-Center Survey. International Journal of Environmental Research and Public Health 2025;22(11):1753 View
  14. Schmidt M, Weng Y, Juengst S, Holland A. Designing Electronic Problem-Solving Training for Individuals With Traumatic Brain Injury: Mixed Methods, Community-Based, Participatory Research Case Study. Journal of Medical Internet Research 2026;28:e83995 View
  15. Almansour M. Dual factor theory perspective on facilitators and inhibitors of fitness wearable innovations. Insights for information systems practitioners. Journal of Enterprise Information Management 2026:1 View
  16. James C, Krein S, Yon S, Dorsch M, Piette J, Nallamothu B. Patient and Clinician Attitudes Toward Mobile Health Apps: Qualitative Study. JMIR mHealth and uHealth 2026;14:e77519 View
  17. Petrová P, Bruthans J, Ondrejková M. From pilot to policy: Adoption of the National mHealth application EZKarta in Czechia. DIGITAL HEALTH 2026;12 View
  18. Duan S, Wang Z, Chen X, Ni G. Digital Health Technology Use Among Rehabilitation Professionals in China: Multi-Province Cross-Sectional Survey. Journal of Medical Internet Research 2026;28:e90623 View
  19. Kong M, Liu W. Thematic Evolution of Digital Health Communication (2010–2025): A Global Bibliometric Analysis and Health Systems Implication. Saudi Journal of Health Systems Research 2026:1 View
  20. Fahs I, Jabbawi H, Mallah H, Najm N, Alkhatib M, Hayek J, Hamed F, Kanaan S, Dabbous M, Safwan J, Sakr F, Rahal M. Determinants of mobile health application utilization in Lebanon: a cross-sectional study of perceptions, barriers, and engagement. BMC Public Health 2026 View
  21. Schmitt R, Stropahl M. Ringing in insights: analyzing real-world data from a tinnitus management application and its potential for transforming care. Frontiers in Audiology and Otology 2026;4 View

Books/Policy Documents

  1. Chu H, Chen C. Human Interface and the Management of Information. View