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

mHealth for Rehabilitation (269) User-centred Design Case Studies (602) Design and Formative Evaluation of Mobile Apps (706) Participatory Design and Participatory Research (333) Innovations in Exercise Rehabilitation (216) Telerehabilitation (162)

Published on in Vol 6, No 5 (2018): May

TEAMS (Tele-Exercise and Multiple Sclerosis), a Tailored Telerehabilitation mHealth App: Participant-Centered Development and Usability Study

TEAMS (Tele-Exercise and Multiple Sclerosis), a Tailored Telerehabilitation mHealth App: Participant-Centered Development and Usability Study

TEAMS (Tele-Exercise and Multiple Sclerosis), a Tailored Telerehabilitation mHealth App: Participant-Centered Development and Usability Study

Authors of this article:

Mohanraj Thirumalai1, 2 Author Orcid Image ;   James H Rimmer2 Author Orcid Image ;   George Johnson1 Author Orcid Image ;   Jereme Wilroy2 Author Orcid Image ;   Hui-Ju Young2 Author Orcid Image ;   Tapan Mehta1, 2 Author Orcid Image ;   Byron Lai2 Author Orcid Image
Article Authors Cited by (35) Tweetations (5) Metrics

Journals

  1. Lai B, Chiu C, Pounds E, Tracy T, Mehta T, Young H, Riser E, Rimmer J. COVID-19 Modifications for Remote Teleassessment and Teletraining of a Complementary Alternative Medicine Intervention for People With Multiple Sclerosis: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(7):e18415 View
  2. Chen J, Cooper D, Haddad F, Sladkey A, Nussbaum E, Radom-Aizik S. Tele-Exercise as a Promising Tool to Promote Exercise in Children With Cystic Fibrosis. Frontiers in Public Health 2018;6 View
  3. Giesbrecht E, Miller W. Effect of an mHealth Wheelchair Skills Training Program for Older Adults: A Feasibility Randomized Controlled Trial. Archives of Physical Medicine and Rehabilitation 2019;100(11):2159 View
  4. Schleimer E, Pearce J, Barnecut A, Rowles W, Lizee A, Klein A, Block V, Santaniello A, Renschen A, Gomez R, Keshavan A, Gelfand J, Henry R, Hauser S, Bove R. A Precision Medicine Tool for Patients With Multiple Sclerosis (the Open MS BioScreen): Human-Centered Design and Development. Journal of Medical Internet Research 2020;22(7):e15605 View
  5. Esteves M, Esteves M, Abelha A, Machado J. A Proof of Concept of a Mobile Health Application to Support Professionals in a Portuguese Nursing Home. Sensors 2019;19(18):3951 View
  6. van Beek J, van Wegen E, Rietberg M, Nyffeler T, Bohlhalter S, Kamm C, Nef T, Vanbellingen T. Feasibility of a Home-Based Tablet App for Dexterity Training in Multiple Sclerosis: Usability Study. JMIR mHealth and uHealth 2020;8(6):e18204 View
  7. Metcalf C, Huntsman M, Garcia G, Kochanski A, Chikinda M, Watanabe E, Underwood T, Vanegas F, Smith M, White H, Bulaj G. Music-Enhanced Analgesia and Antiseizure Activities in Animal Models of Pain and Epilepsy: Toward Preclinical Studies Supporting Development of Digital Therapeutics and Their Combinations With Pharmaceutical Drugs. Frontiers in Neurology 2019;10 View
  8. Molina-Recio G, Molina-Luque R, Jiménez-García A, Ventura-Puertos P, Hernández-Reyes A, Romero-Saldaña M. Proposal for the User-Centered Design Approach for Health Apps Based on Successful Experiences: Integrative Review. JMIR mHealth and uHealth 2020;8(4):e14376 View
  9. Scholz M, Haase R, Schriefer D, Voigt I, Ziemssen T. Electronic Health Interventions in the Case of Multiple Sclerosis: From Theory to Practice. Brain Sciences 2021;11(2):180 View
  10. Gromisch E, Turner A, Haselkorn J, Lo A, Agresta T. Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review. JAMIA Open 2021;4(3) View
  11. Ku B, Tse A, Pang B, Cheung N, Pang J, Chan J, Hui H, Chu D, Choi K. Tele-Rehabilitation to Combat Rehabilitation Service Disruption During COVID-19 in Hong Kong: Observational Study. JMIR Rehabilitation and Assistive Technologies 2021;8(3):e19946 View
  12. Chassan C, Jost C, Sévène M, Cras O, De Broucker T, Archambault D. Encouraging physical activities at home for people with multiple sclerosis with mHealth tools: A literature review. Technology and Disability 2021;33(2):87 View
  13. Song T, Deng N, Cui T, Qian S, Liu F, Guan Y, Yu P. Measuring Success of Patients’ Continuous Use of Mobile Health Services for Self-management of Chronic Conditions: Model Development and Validation. Journal of Medical Internet Research 2021;23(7):e26670 View
  14. De Angelis M, Lavorgna L, Carotenuto A, Petruzzo M, Lanzillo R, Brescia Morra V, Moccia M. Digital Technology in Clinical Trials for Multiple Sclerosis: Systematic Review. Journal of Clinical Medicine 2021;10(11):2328 View
  15. Chowdhary K, Yu D, Pramana G, Mesoros M, Fairman A, Dicianno B, Parmanto B. User-Centered Design to Enhance mHealth Systems for Individuals With Dexterity Impairments: Accessibility and Usability Study. JMIR Human Factors 2022;9(1):e23794 View
  16. Knox K, Nickel D, Donkers S, Paul L. Physiotherapist and participant perspectives from a randomized-controlled trial of physiotherapist-supported online vs. paper-based exercise programs for people with moderate to severe multiple sclerosis. Disability and Rehabilitation 2023;45(7):1147 View
  17. Henni S, Maurud S, Fuglerud K, Moen A. The experiences, needs and barriers of people with impairments related to usability and accessibility of digital health solutions, levels of involvement in the design process and strategies for participatory and universal design: a scoping review. BMC Public Health 2022;22(1) View
  18. Le Toullec E, Piette P, Gallien P, Leblong E, Fraudet B, Terrade F. Influence de la crise sanitaire COVID-19 sur la perception de la télérééducation dans la population des kinésithérapeutes français, une étude qualitative. Kinésithérapie, la Revue 2022;22(248-249):6 View
  19. 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
  20. Hessam M, Hosseinpour P, Vaezipour A, Mehravar M. Development of an Evidence-Based Progressive Web App to Promote Exercise Therapy and Telemonitoring for Individuals with Patello-Femoral Pain Syndrome: A Usability Study. Shiraz E-Medical Journal 2022;23(12) View
  21. Phansikar M, Mullen S. Cognitive and psychosocial effects of an acute sun salutation intervention among adults with stress. Mental Health and Physical Activity 2022;22:100431 View
  22. Cwintal M, Ranjbar H, Bandamiri P, Guadagno E, Osmanlliu E, Poenaru D. A rapid review for developing a co-design framework for a pediatric surgical communication application. Journal of Pediatric Surgery 2023;58(5):879 View
  23. Naranjo-Rojas A, Perula-de-Torres L, Molina-Recio G. Patients, caregivers, and healthcare professionals' needs when designing the content of a mobile application for the clinical monitoring of patients with chronic obstructive pulmonary disease and home oxygen therapy: A user-centered design. Internet Interventions 2022;29:100552 View
  24. Howard Z, Win K, Guan V. Mobile apps used for people living with multiple sclerosis: A scoping review. Multiple Sclerosis and Related Disorders 2023;73:104628 View
  25. Giebel G, Speckemeier C, Abels C, Plescher F, Börchers K, Wasem J, Blase N, Neusser S. Problems and Barriers Related to the Use of Digital Health Applications: Scoping Review. Journal of Medical Internet Research 2023;25:e43808 View
  26. Krafft J, Barisch-Fritz B, Krell-Roesch J, Trautwein S, Scharpf A, Woll A. A Tablet-Based App to Support Nursing Home Staff in Delivering an Individualized Cognitive and Physical Exercise Program for Individuals With Dementia: Mixed Methods Usability Study. JMIR Aging 2023;6:e46480 View
  27. Weermeijer J, Wampers M, de Thurah L, Bonnier R, Piot M, Kuppens P, Myin-Germeys I, Kiekens G. Usability of the Experience Sampling Method in Specialized Mental Health Care: Pilot Evaluation Study. JMIR Formative Research 2023;7:e48821 View
  28. Stark A, Krayter S, Dockweiler C. Competencies required by patients and health professionals regarding telerehabilitation: A scoping review. DIGITAL HEALTH 2023;9 View
  29. Sivertseva S, Anfilofeva K, Zotova A, Kazantsev V, Belkina A, Volkova L, Guseva M, Boyko A. The effectiveness of tele-rehabilitation for patients with multiple sclerosis during the COVID-19 pandemic in 2020—2021 was evaluated in this study. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova 2024;124(3):75 View
  30. Solaiyan R, Dheeraj K, AGK S, Soundappan K, Ashok K, Rajni S. Development and Evaluation of a mHealth app - (ReMiT-MS app) for Rehabilitation of Individuals with Relapsing-remitting Multiple Sclerosis - A Mixed Methods, Pragmatic Randomized Controlled Trial - Study Protocol. Journal of Novel Physiotherapy and Rehabilitation 2024;8(2):022 View
  31. Sivertseva S, Anfilofeva K, Zotova A, Chukreev V, Belkina A, Volkova L, Guseva M, Boyko A. Results of tele-rehabilitation in patients with multiple sclerosis during 2020–2021 COVID-19 pandemic. Neurology, Neuropsychiatry, Psychosomatics 2024;16:18 View
  32. Yang Z, Bao K, Yang Z, Chen S, Zheng Y. Elaborating the knowledge structure and emerging research trends of physical activity for multiple sclerosis: A bibliometric analysis from 1994 to 2023. Multiple Sclerosis and Related Disorders 2024;90:105817 View
  33. Alexander S, Peryer G, Gray E, Barkhof F, Chataway J. Wearable technologies to measure clinical outcomes in multiple sclerosis: A scoping review. Multiple Sclerosis Journal 2021;27(11):1643 View

Books/Policy Documents

  1. Chassan C, Jost C, Sévène M, Cras O, De Broucker T, Archambault D. Computers Helping People with Special Needs. View