Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45099, first published .
Using Intervention Mapping and Behavior Change Techniques to Develop a Digital Intervention for Self-Management in Stroke: Development Study

Using Intervention Mapping and Behavior Change Techniques to Develop a Digital Intervention for Self-Management in Stroke: Development Study

Using Intervention Mapping and Behavior Change Techniques to Develop a Digital Intervention for Self-Management in Stroke: Development Study

Journals

  1. Wong A, Tomazin R, Walker K, Heeb Desai R, Hollingsworth H, Newland P, Morgan K. Text messaging intervention for fatigue self-management in people with stroke, spinal cord injury, and multiple sclerosis: A pilot study. Disability and Health Journal 2024;17(2):101549 View
  2. Mendes Pereira C, Matos M, Carvalho D, Macedo P, Calheiros J, Alves J, Paulino Ferreira L, Dias T, Neves Madeira R, Jones F. Building Bridges between People with Stroke, Families, and Health Professionals: Development of a Blended Care Program for Self-Management. Journal of Clinical Medicine 2024;13(1):300 View
  3. Li Z, Lei Y, Bui Q, DePaul O, Nicol G, Mohr D, Lee S, Fong M, Metts C, Tomazin S, Wong A. A Digital Intervention to Promote Self-Management Self-Efficacy Among Community-Dwelling Individuals With Stroke: Pilot Randomized Controlled Trial. JMIR Rehabilitation and Assistive Technologies 2024;11:e50863 View
  4. Daniels K, Hoosen I, Pharaoh H. Health risk behaviour prevention/intervention programmes targeted at youth/adolescents engaging in risky behaviour—a scoping review. Journal of Public Health 2024 View
  5. Park J, Lee J, Noh D. Mobile App for Improving the Mental Health of Youth in Out-of-Home Care: Development Study Using an Intervention Mapping Approach. JMIR Human Factors 2024;11:e64681 View
  6. Manole A, Cârciumaru R, Brînzaș R, Manole F. An Exploratory Investigation of Chatbot Applications in Anxiety Management: A Focus on Personalized Interventions. Information 2024;16(1):11 View
  7. Lei Y, Li Z, Bui Q, DePaul O, Nicol G, Mohr D, Fong M, Metts C, Lee S, Tomazin S, Wong A. Satisfaction, user experiences, and initial efficacy of a technology-supported self-management intervention (iSMART) to improve post-stroke functioning: a remoted randomized controlled trial. Topics in Stroke Rehabilitation 2025;32(7):677 View
  8. Hall A, Allgar V, Carroll C, Meinert E. Digital health technologies and self-efficacy in Parkinson’s: a scoping review. BMJ Open 2025;15(1):e088616 View
  9. Yang L, Zhang M, Jia L, Yan Z, Yin Q. Understanding digital therapeutics in disease self-management: A systematic literature review. Technology in Society 2025;81:102831 View
  10. Wróbel A, Cash P, Maier A, Paulin Hansen J. Determining the Prioritization of Behavior Change Techniques for Long-Term Stroke Rehabilitation: Delphi Survey Study. Interactive Journal of Medical Research 2025;14:e59172 View
  11. Yan J, Wang Y, Zhang L, Chen P, Yang N, Zhang H. Social participation of stroke patients: a bibliometric analysis. Frontiers in Neurology 2025;16 View
  12. Ustrimova K, Fait B, Reme S, Rasmussen M, Hauger S. Existing evidence of self-management interventions in acquired brain injuries and traumatic injuries: a scoping review. Disability and Rehabilitation 2025:1 View
  13. Hand B, Gilmore D, Hyer J, DeVassie H, Radford D, Juckett L, Hanks C, Havercamp S, Coury D. Formative Evaluation of PREPARE for Autistic Adults: An Adult Autism Training for Resident Physicians Designed with Autistic Adults and Family Members. Autism in Adulthood 2025 View