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

Digital Health Reviews (1186) Web-based and Mobile Health Interventions (3114) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (459)

Published on in Vol 24, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27735, first published .
Attrition Within Digital Health Interventions for People With Multiple Sclerosis: Systematic Review and Meta-analysis

Attrition Within Digital Health Interventions for People With Multiple Sclerosis: Systematic Review and Meta-analysis

Attrition Within Digital Health Interventions for People With Multiple Sclerosis: Systematic Review and Meta-analysis

Authors of this article:

William Bevens1 Author Orcid Image ;   Tracey Weiland1 Author Orcid Image ;   Kathleen Gray2 Author Orcid Image ;   George Jelinek1 Author Orcid Image ;   Sandra Neate1 Author Orcid Image ;   Steve Simpson-Yap1 Author Orcid Image
Article Authors Cited by (13) Tweetations (5) Metrics

Journals

  1. Hernández-Rodríguez J, García-Muñoz C, Ortiz-Álvarez J, Saigí-Rubió F, Conejo-Mir J, Pereyra-Rodriguez J. Dropout Rate in Digital Health Interventions for the Prevention of Skin Cancer: Systematic Review, Meta-analysis, and Metaregression. Journal of Medical Internet Research 2022;24(12):e42397 View
  2. van Beek J, Lehnick D, Pastore-Wapp M, Wapp S, Kamm C, Nef T, Vanbellingen T. Tablet app-based dexterity training in multiple sclerosis (TAD-MS): a randomized controlled trial. Disability and Rehabilitation: Assistive Technology 2024;19(3):889 View
  3. Casuso-Holgado M, García-Muñoz C, Martín-Valero R, Lucena-Anton D, Moral-Munoz J, Cortés-Vega M. Dropout rate in randomised controlled trials of balance and gait rehabilitation in multiple sclerosis: is it expected to be different for virtual reality-based interventions? A systematic review with meta-analysis and meta-regression. Virtual Reality 2023;27(4):3451 View
  4. Sieber C, Haag C, Polhemus A, Sylvester R, Kool J, Gonzenbach R, von Wyl V. Feasibility and scalability of a fitness tracker study: Results from a longitudinal analysis of persons with multiple sclerosis. Frontiers in Digital Health 2023;5 View
  5. 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
  6. Parra A, Gonzalez-Medina G, Perez-Cabezas V, Casuso-Holgado M, Vinolo-Gil M, García-Muñoz C. Dropout Rate of Participants in Randomized Clinical Trials That Use Virtual Reality to Train Balance and Gait in Parkinson’s Disease. A Systematic Review With Meta-analysis and Meta-regression. Journal of Medical Systems 2023;47(1) View
  7. Guan V, Zhou C, Wan H, Zhou R, Zhang D, Zhang S, Yang W, Voutharoja B, Wang L, Win K, Wang P. A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasive Technology, Computer Vision, and Cloud Computing: Development and Usability Study. JMIR Formative Research 2023;7:e46839 View
  8. Reece J, Yu M, Bevens W, Simpson-Yap S, Jelinek G, Jelinek P, Davenport R, Nag N, Gray K, Neate S. Study protocol for an online lifestyle modification education course for people living with multiple sclerosis: the multiple sclerosis online course (MSOC). BMC Neurology 2023;23(1) View
  9. Vaagan A, Haaland-Øverby M, Eriksen A, Fredriksen K, Stenov V, Varsi C, Ingadóttir B, Cleal B, Alvheim A, Westermann K, Strømme H, Kristjansdottir O. Group-based patient education via videoconference: A scoping review. Patient Education and Counseling 2024;118:108026 View
  10. Titcomb T, Sherwood M, Ehlinger M, Saxby S, Shemirani F, Eyck P, Wahls T, Snetselaar L. Evaluation of a web-based program for the adoption of wellness behaviors to self-manage fatigue and improve quality of life among people with multiple sclerosis: A randomized waitlist-control trial. Multiple Sclerosis and Related Disorders 2023;77:104858 View
  11. Pinarello C, Elmers J, Inojosa H, Beste C, Ziemssen T. Management of multiple sclerosis fatigue in the digital age: from assessment to treatment. Frontiers in Neuroscience 2023;17 View
  12. Antonioni A, Baroni A, Milani G, Cordioli I, Straudi S. Role of Smartphone Applications in the Assessment and Management of Fatigue in Patients with Multiple Sclerosis: A Scoping Review. Sclerosis 2024;2(1):42 View
  13. Scheibe S, Timpel P, Mäder M, Heinrich R, Kugler J, Schönfelder T. Effektivität digitaler Pflegeanwendungen bei Pflegebedürftigen im häuslichen Umfeld. Pflege 2024 View