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

RCTs - Protocols/Proposals (eHealth) (544) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1421) Back Pain (116)

Published on in Vol 8, No 12 (2019): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14720, first published .
An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial

An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial

An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial

Authors of this article:

Louise Fleng Sandal1 Author Orcid Image ;   Mette Jensen Stochkendahl1, 2 Author Orcid Image ;   Malene Jagd Svendsen1, 3 Author Orcid Image ;   Karen Wood4 Author Orcid Image ;   Cecilie K Øverås1, 5 Author Orcid Image ;   Anne Lovise Nordstoga5 Author Orcid Image ;   Morten Villumsen5 Author Orcid Image ;   Charlotte Diana Nørregaard Rasmussen3 Author Orcid Image ;   Barbara Nicholl4 Author Orcid Image ;   Kay Cooper6 Author Orcid Image ;   Per Kjaer1 Author Orcid Image ;   Frances S Mair4 Author Orcid Image ;   Gisela Sjøgaard1 Author Orcid Image ;   Tom Ivar Lund Nilsen5 Author Orcid Image ;   Jan Hartvigsen1, 2 Author Orcid Image ;   Kerstin Bach7 Author Orcid Image ;   Paul Jarle Mork5 Author Orcid Image ;   Karen Søgaard1 Author Orcid Image
Article Authors Cited by (32) Tweetations (30) Metrics

Journals

  1. Nordstoga A, Bach K, Sani S, Wiratunga N, Mork P, Villumsen M, Cooper K. Usability and Acceptability of an App (SELFBACK) to Support Self-Management of Low Back Pain: Mixed Methods Study. JMIR Rehabilitation and Assistive Technologies 2020;7(2):e18729 View
  2. Sandal L, Øverås C, Nordstoga A, Wood K, Bach K, Hartvigsen J, Søgaard K, Mork P. A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up. Pilot and Feasibility Studies 2020;6(1) View
  3. Geraghty A, Roberts L, Hill J, Foster N, Yardley L, Hay E, Stuart B, Turner D, Griffiths G, Webley F, Durcan L, Morgan A, Hughes S, Bathers S, Butler-Walley S, Wathall S, Mansell G, Leigh L, Little P. Supporting self-management of low back pain with an internet intervention in primary care: a protocol for a randomised controlled trial of clinical and cost-effectiveness (SupportBack 2). BMJ Open 2020;10(8):e040543 View
  4. Rasmussen C, Svendsen M, Wood K, Nicholl B, Mair F, Sandal L, Mork P, Søgaard K, Bach K, Stochkendahl M. App-Delivered Self-Management Intervention Trial selfBACK for People With Low Back Pain: Protocol for Implementation and Process Evaluation. JMIR Research Protocols 2020;9(10):e20308 View
  5. Rigamonti L, Estel K, Gehlen T, Wolfarth B, Lawrence J, Back D. Use of artificial intelligence in sports medicine: a report of 5 fictional cases. BMC Sports Science, Medicine and Rehabilitation 2021;13(1) View
  6. Bulaj G, Clark J, Ebrahimi M, Bald E. From Precision Metapharmacology to Patient Empowerment: Delivery of Self-Care Practices for Epilepsy, Pain, Depression and Cancer Using Digital Health Technologies. Frontiers in Pharmacology 2021;12 View
  7. Sandal L, Bach K, Øverås C, Svendsen M, Dalager T, Stejnicher Drongstrup Jensen J, Kongsvold A, Nordstoga A, Bardal E, Ashikhmin I, Wood K, Rasmussen C, Stochkendahl M, Nicholl B, Wiratunga N, Cooper K, Hartvigsen J, Kjær P, Sjøgaard G, Nilsen T, Mair F, Søgaard K, Mork P. Effectiveness of App-Delivered, Tailored Self-management Support for Adults With Lower Back Pain–Related Disability. JAMA Internal Medicine 2021;181(10):1288 View
  8. Dobija L, Lechauve J, Mbony-Irankunda D, Plan-Paquet A, Dupeyron A, Coudeyre E. Smartphone applications are used for self-management, telerehabilitation, evaluation and data collection in low back pain healthcare: a scoping review. F1000Research 2022;11:1001 View
  9. Verma D, Bach K, Mork P. External validation of prediction models for patient-reported outcome measurements collected using the selfBACK mobile app. International Journal of Medical Informatics 2023;170:104936 View
  10. Marcuzzi A, Bach K, Nordstoga A, Bertheussen G, Ashikhmin I, Boldermo N, Kvarner E, Nilsen T, Marchand G, Ose S, Aasdahl L, Kaspersen S, Bardal E, Børke J, Mork P, Gismervik S. Individually tailored self-management app-based intervention (selfBACK) versus a self-management web-based intervention (e-Help) or usual care in people with low back and neck pain referred to secondary care: protocol for a multiarm randomised clinical trial. BMJ Open 2021;11(9):e047921 View
  11. Alhussein G, Hadjileontiadis L. Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e32557 View
  12. Verma D, Jansen D, Bach K, Poel M, Mork P, d’Hollosy W. Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes. BMC Medical Informatics and Decision Making 2022;22(1) View
  13. Svendsen M, Nicholl B, Mair F, Wood K, Rasmussen C, Stochkendahl M. One size does not fit all: Participants’ experiences of the selfBACK app to support self-management of low back pain—a qualitative interview study. Chiropractic & Manual Therapies 2022;30(1) View
  14. Svendsen M, Sandal L, Kjær P, Nicholl B, Cooper K, Mair F, Hartvigsen J, Stochkendahl M, Søgaard K, Mork P, Rasmussen C. Using Intervention Mapping to Develop a Decision Support System–Based Smartphone App (selfBACK) to Support Self-management of Nonspecific Low Back Pain: Development and Usability Study. Journal of Medical Internet Research 2022;24(1):e26555 View
  15. Rughani G, Nilsen T, Wood K, Mair F, Hartvigsen J, Mork P, Nicholl B. The selfBACK artificial intelligence‐based smartphone app can improve low back pain outcome even in patients with high levels of depression or stress. European Journal of Pain 2023;27(5):568 View
  16. Øverås C, Nilsen T, Nicholl B, Rughani G, Wood K, Søgaard K, Mair F, Hartvigsen J. Multimorbidity and co-occurring musculoskeletal pain do not modify the effect of the selfBACK app on low back pain-related disability. BMC Medicine 2022;20(1) View
  17. Lewkowicz D, Slosarek T, Wernicke S, Winne A, Wohlbrandt A, Bottinger E. Digital Therapeutic Care and Decision Support Interventions for People With Low Back Pain: Systematic Review. JMIR Rehabilitation and Assistive Technologies 2021;8(4):e26612 View
  18. Hurmuz M, Jansen-Kosterink S, van Velsen L. How to Prevent the Drop-Out: Understanding Why Adults Participate in Summative eHealth Evaluations. Journal of Healthcare Informatics Research 2023;7(1):125 View
  19. Lillywhite A, Wolbring G. Coverage of well-being within artificial intelligence, machine learning and robotics academic literature: the case of disabled people. AI & SOCIETY 2024;39(5):2537 View
  20. Bardal E, Sandal L, Nilsen T, Nicholl B, Mork P, Søgaard K, Grosan C. Do age, gender, and education modify the effectiveness of app-delivered and tailored self-management support among adults with low back pain?—Secondary analysis of the selfBACK randomised controlled trial. PLOS Digital Health 2023;2(9):e0000302 View
  21. Nordstoga A, Aasdahl L, Sandal L, Dalager T, Kongsvold A, Mork P, Nilsen T. The Role of Pain Duration and Pain Intensity on the Effectiveness of App-Delivered Self-Management for Low Back Pain (selfBACK): Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e40422 View
  22. Sjøgaard G, Søgaard K, Hansen A, Østergaard A, Teljigovic S, Dalager T. Exercise Prescription for the Work–Life Population and Beyond. Journal of Functional Morphology and Kinesiology 2023;8(2):73 View
  23. Ipsen J, Sandal L, Chang N, Schiøttz-Christensen B, Søgaard K, Hansen A. Interest in mHealth Among Patients With Low Back Pain: Cross-Sectional Study. JMIR Human Factors 2024;11:e48729 View
  24. Dobija L, Lechauve J, Mbony-Irankunda D, Plan-Paquet A, Dupeyron A, Coudeyre E. Smartphone applications are used for self-management, telerehabilitation, evaluation and data collection in low back pain healthcare: a scoping review. F1000Research 2024;11:1001 View
  25. Hurmuz M, Jansen-Kosterink S, Mork P, Bach K, Hermens H. Factors influencing the use of an artificial intelligence-based app ( self BACK) for tailored self-management support among adults with neck and/or low back pain. Disability and Rehabilitation 2024:1 View
  26. Wang E, Rodrigues I, Li L. Effectiveness of Tailored Self-Management Interventions for People with Chronic Musculoskeletal Conditions: a Systematic Review and Meta-Analysis. Physiotherapy Canada 2024 View
  27. Kongstad L, Øverås C, Skovsgaard C, Sandal L, Hartvigsen J, Søgaard K, Mork P, Stochkendahl M. Cost-effectiveness analysis of app-delivered self-management support (selfBACK) in addition to usual care for people with low back pain in Denmark. BMJ Open 2024;14(9):e086800 View
  28. Ekambaram D, Ponnusamy V. Real-Time Monitoring and Assessment of Rehabilitation Exercises for Low Back Pain through Interactive Dashboard Pose Analysis Using Streamlit—A Pilot Study. Electronics 2024;13(18):3782 View
  29. Brons A, Wang S, Visser B, Kröse B, Bakkes S, Veltkamp R. Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview. Journal of Medical Internet Research 2024;26:e47774 View

Books/Policy Documents

  1. Ulapane N, Wickramasinghe N. Optimizing Health Monitoring Systems With Wireless Technology. View
  2. Verma D, Bach K, Mork P. Artificial Intelligence XXXVIII. View
  3. Carbonnel F, Schuers M, Darmon D. Médecine Générale pour le Praticien. View