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

User-centred Design Case Studies (596) mHealth for Rehabilitation (263) Human Factors and Usability Case Studies (787) Cognitive and Neurorehabilitation (262) Usability of Apps and User Perceptions of mHealth (974) Stroke (163) Innovations in Exercise Rehabilitation (213)

Published on in Vol 8, No 1 (2021): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21312, first published .
Usability, Usefulness, and Acceptance of a Novel, Portable Rehabilitation System (mRehab) Using Smartphone and 3D Printing Technology: Mixed Methods Study

Usability, Usefulness, and Acceptance of a Novel, Portable Rehabilitation System (mRehab) Using Smartphone and 3D Printing Technology: Mixed Methods Study

Usability, Usefulness, and Acceptance of a Novel, Portable Rehabilitation System (mRehab) Using Smartphone and 3D Printing Technology: Mixed Methods Study

Authors of this article:

Sutanuka Bhattacharjya1 Author Orcid Image ;   Lora Anne Cavuoto2 Author Orcid Image ;   Brandon Reilly2 Author Orcid Image ;   Wenyao Xu2 Author Orcid Image ;   Heamchand Subryan2 Author Orcid Image ;   Jeanne Langan2 Author Orcid Image
Article Authors Cited by (16) Tweetations (3) Metrics

Journals

  1. Bhattacharjya S, Linares I, Langan J, Xu W, Subryan H, Cavuoto L. Engaging in a home-based exercise program: a mixed-methods approach to identify motivators and barriers for individuals with stroke. Assistive Technology 2023;35(6):487 View
  2. Blair R, Horn C, Dias J, McDonnell M, Seely E. Development and Usability of a Text Messaging Program for Women With Gestational Diabetes: Mixed Methods Study. JMIR Human Factors 2022;9(1):e32815 View
  3. Christopoulou S. Impacts on Context Aware Systems in Evidence-Based Health Informatics: A Review. Healthcare 2022;10(4):685 View
  4. Bo W, Cavuoto L, Langan J, Subryan H, Bhattacharjya S, Huang M, Xu W. A progressive prediction model towards home-based stroke rehabilitation programs. Smart Health 2022;23:100239 View
  5. Yang S, Du P, Li L. The Application of 3D Printing Technology in Furniture Design. Scientific Programming 2022;2022:1 View
  6. Krueger L, Miles J, Popat A. 3D printing hybrid materials using fused deposition modelling for solid oral dosage forms. Journal of Controlled Release 2022;351:444 View
  7. Broderick M, O'Shea R, Burridge J, Demain S, Johnson L, Bentley P. Examining Usability, Acceptability, and Adoption of a Self-Directed, Technology-Based Intervention for Upper Limb Rehabilitation After Stroke: Cohort Study. JMIR Rehabilitation and Assistive Technologies 2023;10:e45993 View
  8. Kuo F, Wu Y, Kuo T, Lee Y, Huang S, Lee H. Effects of 3D-printed assistive device on daily life function in patients with neurological impairment: a pilot study. Disability and Rehabilitation: Assistive Technology 2024;19(4):1648 View
  9. Markle-Reid M, Fisher K, Walker K, Beauchamp M, Cameron J, Dayler D, Fleck R, Gafni A, Ganann R, Hajas K, Koetsier B, Mahony R, Pollard C, Prescott J, Rooke T, Whitmore C. The stroke transitional care intervention for older adults with stroke and multimorbidity: a multisite pragmatic randomized controlled trial. BMC Geriatrics 2023;23(1) View
  10. Gebreheat G, Goman A, Porter-Armstrong A. The use of home-based digital technology to support post-stroke upper limb rehabilitation: A scoping review. Clinical Rehabilitation 2024;38(1):60 View
  11. Dittli J, Meyer J, Gantenbein J, Bützer T, Ranzani R, Linke A, Curt A, Gassert R, Lambercy O. Mixed methods usability evaluation of an assistive wearable robotic hand orthosis for people with spinal cord injury. Journal of NeuroEngineering and Rehabilitation 2023;20(1) View
  12. Stark A, Krayter S, Dockweiler C. Competencies required by patients and health professionals regarding telerehabilitation: A scoping review. DIGITAL HEALTH 2023;9 View
  13. Gooch H, Jarvis K, Stockley R. Behavior Change Approaches in Digital Technology–Based Physical Rehabilitation Interventions Following Stroke: Scoping Review. Journal of Medical Internet Research 2024;26:e48725 View
  14. Andersson R, Bermejo-García J, Agujetas R, Cronhjort M, Chilo J. Smartphone IMU Sensors for Human Identification through Hip Joint Angle Analysis. Sensors 2024;24(15):4769 View
  15. Aparicio Pico L, Coronado Sánchez P, Tinjacá Rodriguez D. Evaluación de la experiencia de usuario y la adecuación funcional en aplicaciones móviles de rehabilitación. Revisión sistemática. Revista Colombiana de Medicina Física y Rehabilitación 2024;34(2):e440 View

Books/Policy Documents

  1. Gouveia D, Jorge F. Good Practices and New Perspectives in Information Systems and Technologies. View