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

Grant Proposals (eHealth, funded) (77) Non-randomized Protocols and Methods (ehealth) (540)

Published on in Vol 7, No 7 (2018): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9379, first published .
A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project

A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project

A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project

Authors of this article:

Paul Jarle Mork1 Author Orcid Image ;   Kerstin Bach2 Author Orcid Image
Article Authors Cited by (36) Tweetations (22) Metrics

Journals

  1. Beyera G, O’Brien J, Campbell S, Blanch A. The development and validation of a measurement instrument to investigate determinants of health care utilisation for low back pain in Ethiopia. PLOS ONE 2020;15(1):e0227801 View
  2. Liwei S, Guarda T, Lopes I, Rocha Á. Research on classification and recognition of badminton batting action based on machine learning. Journal of Intelligent & Fuzzy Systems 2019;37(5):6241 View
  3. Shipton E. Physical Therapy Approaches in the Treatment of Low Back Pain. Pain and Therapy 2018;7(2):127 View
  4. Kjaer P, Kongsted A, Ris I, Abbott A, Rasmussen C, Roos E, Skou S, Andersen T, Hartvigsen J. GLA:D® Back group-based patient education integrated with exercises to support self-management of back pain - development, theories and scientific evidence -. BMC Musculoskeletal Disorders 2018;19(1) View
  5. Bach K, Marling C, Mork P, Aamodt A, Mair F, Nicholl B. Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain. Journal of Intelligent Information Systems 2019;52(2):269 View
  6. Sandal L, Stochkendahl M, Svendsen M, Wood K, Øverås C, Nordstoga A, Villumsen M, Rasmussen C, Nicholl B, Cooper K, Kjaer P, Mair F, Sjøgaard G, Nilsen T, Hartvigsen J, Bach K, Mork P, Søgaard K. An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial. JMIR Research Protocols 2019;8(12):e14720 View
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. Benditz A, Pulido L, Grifka J, Ripke F, Jansen P. A clinical decision support system in back pain helps to find the diagnosis: a prospective correlation study. Archives of Orthopaedic and Trauma Surgery 2021;143(2):621 View
  13. Saragiotto B, Sandal L, Hartvigsen J. Can you be a manual therapist without using your hands?. Chiropractic & Manual Therapies 2022;30(1) View
  14. 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
  15. 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
  16. Itoh N, Mishima H, Yoshida Y, Yoshida M, Oka H, Matsudaira K. 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. JMIR mHealth and uHealth 2022;10(5):e35867 View
  17. 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
  18. Werneke M, Deutscher D, Hayes D, Grigsby D, Mioduski J, Resnik L. Is Telerehabilitation a Viable Option for People With Low Back Pain? Associations Between Telerehabilitation and Outcomes During the COVID-19 Pandemic. Physical Therapy 2022;102(5) View
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. Lervik L, Vasseljen O, Austad B, Bach K, Bones A, Granviken F, Hill J, Jørgensen P, Øien T, Veites P, Van der Windt D, Meisingset I. SupportPrim—a computerized clinical decision support system for stratified care for patients with musculoskeletal pain complaints in general practice: study protocol for a randomized controlled trial. Trials 2023;24(1) View
  26. Zmudzki F, Smeets R. Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment. Frontiers in Pain Research 2023;4 View
  27. Marcuzzi A, Nordstoga A, Bach K, Aasdahl L, Nilsen T, Bardal E, Boldermo N, Falkener Bertheussen G, Marchand G, Gismervik S, Mork P. Effect of an Artificial Intelligence–Based Self-Management App on Musculoskeletal Health in Patients With Neck and/or Low Back Pain Referred to Specialist Care. JAMA Network Open 2023;6(6):e2320400 View
  28. 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
  29. 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
  30. Gambo I, Agbonkhese C. Software Design Specification Proposal of a Diagnostic Decision Support System for Clinical Low Back Pain. Procedia Computer Science 2024;231:243 View
  31. Zhou T, Salman D, McGregor A. mHealth Apps for the Self-Management of Low Back Pain: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2024;12:e53262 View
  32. 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
  33. 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
  34. Marcuzzi A, Klevanger N, Aasdahl L, Gismervik S, Bach K, Mork P, Nordstoga A. An Artificial Intelligence–Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial. JMIR Human Factors 2024;11:e55716 View

Books/Policy Documents

  1. Enriquez R, Huang I. Multidisciplinary Spine Care. View