Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45143, first published .
Assessing the Quality and Impact of eHealth Tools: Systematic Literature Review and Narrative Synthesis

Assessing the Quality and Impact of eHealth Tools: Systematic Literature Review and Narrative Synthesis

Assessing the Quality and Impact of eHealth Tools: Systematic Literature Review and Narrative Synthesis

Journals

  1. Andreoli D, Mancin S, Sguanci M, Ricco M, Gazineo D, Godino L. Assessment of healthcare application quality: Development of a standardized methods for healthcare professionals. MethodsX 2023;11:102391 View
  2. Raquel Costa-Brito A, Bovolini A, Rúa-Alonso M, Vaz C, Francisco Ortega-Morán J, Blas Pagador J, Vila-Chã C. Home-based exercise interventions delivered by technology in older adults: A scoping review of technological tools usage. International Journal of Medical Informatics 2024;181:105287 View
  3. Jankowiak M, Rój J, Wolniak R. The eHealth usage during COVID-19 pandemic 2020 year–Case of Poland. PLOS ONE 2023;18(9):e0290502 View
  4. Mezei F, Horváth K, Pálfi M, Lovas K, Ádám I, Túri G. International practices in health technology assessment and public financing of digital health technologies: recommendations for Hungary. Frontiers in Public Health 2023;11 View
  5. Chakraborty C, Bhattacharya M, Pal S, Lee S. From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare. Current Research in Biotechnology 2024;7:100164 View
  6. Ciudad-Gutiérrez P, del Valle-Moreno P, Lora-Escobar S, Guisado-Gil A, Alfaro-Lara E. Electronic Medication Reconciliation Tools Aimed at Healthcare Professionals to Support Medication Reconciliation: a Systematic Review. Journal of Medical Systems 2023;48(1) View
  7. Jacob C, Lindeque J, Müller R, Klein A, Metcalfe T, Connolly S, Koerber F, Maguire R, Denis F, Heuss S, Peter M. A sociotechnical framework to assess patient-facing eHealth tools: results of a modified Delphi process. npj Digital Medicine 2023;6(1) View
  8. Zdziechowski A, Zdziechowska M, Rysz J, Woldańska-Okońska M. The Effectiveness of Preoperative Outpatient and Home Rehabilitation and the Impact on the Results of Hip Arthroplasty: Introductory Report. Healthcare 2024;12(3):327 View
  9. Spierings J, Willinge G, Kokke M, Twigt B, de Lange W, Geerdink T, van der Velde D, Repping S, Goslings C. Healthcare professionals’ experiences with a mobile self-care solution for low complex orthopedic injuries: a mixed method study (Preprint). JMIR mHealth and uHealth 2023 View
  10. Morelli S, D’Avenio G, Daniele C, Grigioni M, Giansanti D. Under the Tech Umbrella: Assessing the Landscape of Telemedicine Innovations (Telemechron Study). Healthcare 2024;12(6):615 View
  11. Aziz Butt S, Naseer M, Ali A, Khalid A, Jamal T, Naz S. Remote mobile health monitoring frameworks and mobile applications: Taxonomy, open challenges, motivation, and recommendations. Engineering Applications of Artificial Intelligence 2024;133:108233 View
  12. Nwagwu W. A citation study of global research on e-Health literacy. Global Knowledge, Memory and Communication 2024 View
  13. Hellstrand Tang U, Smith F, Karilampi U, Gremyr A. 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. JMIR Human Factors 2024;11:e50889 View