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

Tools and Questionnaires in Human Factors Evaluation (82) E-Health Policy and Health Systems Innovation (360) Digital Health, Telehealth and e-Innovation in Clinical Settings (577) Adoption and Change Management of eHealth Systems (940) Theories, Models, and Frameworks in Human Factors (101) Theoretical Frameworks and Concepts (365) Design, Usability, and Evaluation of Research Instruments, Scales, and Measures (97) Knowledge Translation and Implementation Science (563)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50889, first published .
Exploring the Role of Complexity in Health Care Technology Bottom-Up Innovations: Multiple-Case Study Using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability Complexity Assessment Tool

Exploring the Role of Complexity in Health Care Technology Bottom-Up Innovations: Multiple-Case Study Using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability Complexity Assessment Tool

Exploring the Role of Complexity in Health Care Technology Bottom-Up Innovations: Multiple-Case Study Using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability Complexity Assessment Tool

Authors of this article:

Ulla Hellstrand Tang1, 2 Author Orcid Image ;   Frida Smith3, 4 Author Orcid Image ;   Ulla Leyla Karilampi5 Author Orcid Image ;   Andreas Gremyr5, 6 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Hellstrand Tang U, Tranberg R, Sundberg L, Scandurra I. How do patients and healthcare professionals experience foot examinations in diabetes care? – A randomised controlled study of digital foot examinations versus traditional foot examinations. BMC Health Services Research 2024;24(1) View
  2. Elferink N, Roest M, Weggelaar A, de Mul M. Organizing Telemonitoring—Decision-Making Between Centralized and Distributed Models in the Netherlands, Using the Non-Adoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework: Case Study. JMIR Medical Informatics 2025;13:e69349 View
  3. Albloushi M, Alodhailah A, Eid T. Exploring leadership skills development in nursing: a qualitative investigation into the excellence in care program in the Kingdom of Saudi Arabia. BMC Nursing 2025;25(1) View
  4. Naicker S, Schmidt P, Shar B, Tariq A, Earnshaw A, McPhail S. Implementing an Artificial Intelligence Decision Support System in Radiology: Prospective Qualitative Evaluation Study Using the Nonadoption Abandonment Scale-Up, Spread, and Sustainability (NASSS) Framework. Journal of Medical Internet Research 2026;28:e80342 View
  5. Mulhern B, Balakrishna C, Collie J. The Network and Information Systems 2 Directive: Toward Scalable Cyber Risk Management in the Remote Patient Monitoring Domain: A Systematic Review. IoT 2026;7(1):14 View
  6. Zhang H, Liang S, Wu L, Wang Y, Luo L, Peng B, Xiong X, Chen L, Jia Q, Dai T, Jia Y, Xiao L, Ren L, Zhang X, Shen J. The usage divide of digital health technology in age-friendly home modifications: an ethnographic study among older adults in rural China. Frontiers in Public Health 2026;14 View
  7. Moerenhout T, Hunter I, Ballantyne A. A Novel Pathway for Integrating Ethics into Digital Technology Design: A Person-Centred Co-Design Approach Developed in the Context of Assistive Technologies for Older Adults. Science and Engineering Ethics 2026 View