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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Back Pain (116) mHealth for Rehabilitation (263) mHealth for Patient Education (230) mHealth for Wellness, Behavior Change and Prevention (2871)

Published on in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35867, first published .
Evaluation of the Effect of Patient Education and Strengthening Exercise Therapy Using a Mobile Messaging App on Work Productivity in Japanese Patients With Chronic Low Back Pain: Open-Label, Randomized, Parallel-Group Trial

Evaluation of the Effect of Patient Education and Strengthening Exercise Therapy Using a Mobile Messaging App on Work Productivity in Japanese Patients With Chronic Low Back Pain: Open-Label, Randomized, Parallel-Group Trial

Evaluation of the Effect of Patient Education and Strengthening Exercise Therapy Using a Mobile Messaging App on Work Productivity in Japanese Patients With Chronic Low Back Pain: Open-Label, Randomized, Parallel-Group Trial

Authors of this article:

Naohiro Itoh1 Author Orcid Image ;   Hirokazu Mishima1 Author Orcid Image ;   Yuki Yoshida2 Author Orcid Image ;   Manami Yoshida1 Author Orcid Image ;   Hiroyuki Oka3 Author Orcid Image ;   Ko Matsudaira3 Author Orcid Image
Article Authors Cited by (20) Tweetations (5) Metrics

Journals

  1. Kruse C, Molina-Nava A, Kapoor Y, Anerobi C, Maddukuri H. Analyzing the Effect of Telemedicine on Domains of Quality Through Facilitators and Barriers to Adoption: Systematic Review. Journal of Medical Internet Research 2023;25:e43601 View
  2. Areias A, Costa F, Janela D, Molinos M, Moulder R, Lains J, Scheer J, Bento V, Yanamadala V, Cohen S, Correia F. Impact on productivity impairment of a digital care program for chronic low back pain: A prospective longitudinal cohort study. Musculoskeletal Science and Practice 2023;63:102709 View
  3. Matsudaira K. Multifaceted Rehabilitation for Chronic Low Back Pain and Its Methods：Treatment Strategies Based on a Multi-layered Model of Pain. The Japanese Journal of Rehabilitation Medicine 2023;60(7):605 View
  4. Kheirinejad S, Visuri A, Suryanarayana S, Hosio S. Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits. Heliyon 2023;9(6):e16586 View
  5. Jang S, Lee B, Lee E, Kim J, Lee J, Lim J, Hwang J, Jang S. A Systematic Review and Meta-Analysis of the Effects of Rehabilitation Using Digital Healthcare on Musculoskeletal Pain and Quality of Life. Journal of Pain Research 2023;Volume 16:1877 View
  6. An R, Shen J, Wang J, Yang Y. A scoping review of methodologies for applying artificial intelligence to physical activity interventions. Journal of Sport and Health Science 2024;13(3):428 View
  7. Areias A, Molinos M, Moulder R, Janela D, Scheer J, Bento V, Yanamadala V, Cohen S, Correia F, Costa F. The potential of a multimodal digital care program in addressing healthcare inequities in musculoskeletal pain management. npj Digital Medicine 2023;6(1) View
  8. Turesson C, Liedberg G, Björk M. Evaluating the Clinical Use and Utility of a Digital Support App for Employees With Chronic Pain Returning to Work (SWEPPE): Observational Study. JMIR Human Factors 2023;10:e52088 View
  9. Liu P, Wang L, Wang F. Evaluation of Chinese HIV Mobile Apps by Researchers and Patients With HIV: Quality Evaluation Study. JMIR mHealth and uHealth 2024;12:e52573 View
  10. Martindale A, Llewellyn C, de Visser R, Ng B, Ngai V, Kale A, di Ruffano L, Golub R, Collins G, Moher D, McCradden M, Oakden-Rayner L, Rivera S, Calvert M, Kelly C, Lee C, Yau C, Chan A, Keane P, Beam A, Denniston A, Liu X. Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines. Nature Communications 2024;15(1) View
  11. Cargnin Z, Schneider D, Souza M, Vargas M, Tourinho F. Aplicativos móveis de autogerenciamento da dor lombar: revisão sistemática em plataformas digitais. Revista da Escola de Enfermagem da USP 2024;58 View
  12. Cargnin Z, Schneider D, Souza M, Vargas M, Tourinho F. Low back pain self-management mobile applications: a systematic review on digital platforms. Revista da Escola de Enfermagem da USP 2024;58 View
  13. Bento da Silva A, Ramiro S, Boel A, van Lunteren M, Marques M, van de Sande M, Fongen C, Exarchou S, Ramonda R, van der Heijde D, van Gaalen F. Do quality of life and work productivity change in early axial spondyloarthritis and non-axial spondyloarthritis patients after 2 years?. Rheumatology 2024 View
  14. Shi J, Sit R. Impact of 25 Years of Mobile Health Tools for Pain Management in Patients With Chronic Musculoskeletal Pain: Systematic Review. Journal of Medical Internet Research 2024;26:e59358 View
  15. Stueckle C, Haage P. Specific back pain – effective diagnosis and treatment from the radiologist’s point of view. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 2024 View
  16. Shi W, Zhang Y, Bian Y, Chen L, Yuan W, Zhang H, Feng Q, Zhang H, Liu D, Lin Y. The Physical and Psychological Effects of Telerehabilitation-Based Exercise for Patients With Nonspecific Low Back Pain: Prospective Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e56580 View
  17. Xie W, Hu G, Wang Y, Luo X, Liao L, Fu A, Lin J. The feasibility of M-health for people with chronic low back pain in Shanghai, China: A qualitative study. Hong Kong Physiotherapy Journal 2024:1 View
  18. Matsudaira K. Trial of Remote Rehabilitation for Low Back Pain Using the Health Care App. The Japanese Journal of Rehabilitation Medicine 2024;61(4):279 View
  19. Antel R, Whitelaw S, Gore G, Ingelmo P. Moving towards the use of artificial intelligence in pain management. European Journal of Pain 2024 View

Books/Policy Documents

  1. Cervoni L, Sleiman R, Jacob D, Roudesli M. Explainable Artificial Intelligence and Process Mining Applications for Healthcare. View