Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19721, first published .
Patient Experiences of Rehabilitation and the Potential for an mHealth System with Biofeedback After Breast Cancer Surgery: Qualitative Study

Patient Experiences of Rehabilitation and the Potential for an mHealth System with Biofeedback After Breast Cancer Surgery: Qualitative Study

Patient Experiences of Rehabilitation and the Potential for an mHealth System with Biofeedback After Breast Cancer Surgery: Qualitative Study

Journals

  1. Robinson A, Slight R, Husband A, Slight S. Designing the Optimal Digital Health Intervention for Patients’ Use Before and After Elective Orthopedic Surgery: Qualitative Study. Journal of Medical Internet Research 2021;23(3):e25885 View
  2. Agnew J, Hanratty C, McVeigh J, Nugent C, Kerr D. An Investigation Into the Use of mHealth in Musculoskeletal Physiotherapy: Scoping Review. JMIR Rehabilitation and Assistive Technologies 2022;9(1):e33609 View
  3. Lonsdale H, Gray G, Ahumada L, Yates H, Varughese A, Rehman M. The Perioperative Human Digital Twin. Anesthesia & Analgesia 2022;134(4):885 View
  4. R. K, L. S, P. B, S. G, R. L. Psychosocial experiences of breast cancer survivors: a meta-review. Journal of Cancer Survivorship 2024;18(1):84 View
  5. Ryan S, Ní Chasaide N, O' Hanrahan S, Corcoran D, Caulfield B, Argent R. mHealth Apps for Musculoskeletal Rehabilitation: Systematic Search in App Stores and Content Analysis. JMIR Rehabilitation and Assistive Technologies 2022;9(3):e34355 View
  6. Velez M, Lugo-Agudelo L, Patiño Lugo D, Glenton C, Posada A, Mesa Franco L, Negrini S, Kiekens C, Spir Brunal M, Roberg A, Cruz Sarmiento K. Factors that influence the provision of home-based rehabilitation services for people needing rehabilitation: a qualitative evidence synthesis. Cochrane Database of Systematic Reviews 2023;2023(2) View
  7. Singh A, Bevilacqua A, Nguyen T, Hu F, McGuinness K, O’Reilly M, Whelan D, Caulfield B, Ifrim G. Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. Data Mining and Knowledge Discovery 2023;37(2):873 View
  8. Darley A, Coughlan B, Furlong E. People with cancer and their family caregivers’ personal experience of using supportive eHealth technology: A narrative review. European Journal of Oncology Nursing 2021;54:102030 View
  9. Hægermark E, Kongshaug N, Raj S, Hofsli E, Faxvaag A. Design, Development, and Evaluation of an mHealth App for Reporting of Side Effects During Cytostatic Treatment: Usability Test and Interview Study. JMIR Formative Research 2023;7:e47374 View
  10. Wu S, Chuang C, Liao W, Li C, Shih H. Feasibility and Experiences of Using Virtual Reality in a Rehabilitation Program for Breast Cancer Patients: A Phenomenological Study (Preprint). JMIR Serious Games 2022 View
  11. Peelo Dennehy D, Mahon M, Murphy S, Foley S, Morrissey K. You, me, and HPV: Design research to explore attitudes towards cervical self-sampling. International Journal of Human-Computer Studies 2024;185:103221 View