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

Back Pain (116) Human Factors and Usability Case Studies (809) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) mHealth for Wellness, Behavior Change and Prevention (2922) Usability of Apps and User Perceptions of mHealth (993)

Published on in Vol 7, No 2 (2020): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18729, first published .
Usability and Acceptability of an App (SELFBACK) to Support Self-Management of Low Back Pain: Mixed Methods Study

Usability and Acceptability of an App (SELFBACK) to Support Self-Management of Low Back Pain: Mixed Methods Study

Usability and Acceptability of an App (SELFBACK) to Support Self-Management of Low Back Pain: Mixed Methods Study

Authors of this article:

Anne Lovise Nordstoga1 Author Orcid Image ;   Kerstin Bach2 Author Orcid Image ;   Sadiq Sani3 Author Orcid Image ;   Nirmalie Wiratunga3 Author Orcid Image ;   Paul Jarle Mork1 Author Orcid Image ;   Morten Villumsen1 Author Orcid Image ;   Kay Cooper4 Author Orcid Image
Article Authors Cited by (24) Tweetations (20) Metrics

Journals

  1. 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
  2. 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
  3. Lewkowicz D, Wohlbrandt A, Bottinger E. Digital Therapeutic Care Apps With Decision-Support Interventions for People With Low Back Pain in Germany: Cost-Effectiveness Analysis. JMIR mHealth and uHealth 2022;10(2):e35042 View
  4. 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
  5. 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
  6. Carvalho C, Prando B, Dantas L, Serrão P. Mobile health technologies for the management of spine disorders: A systematic review of mHealth applications in Brazil. Musculoskeletal Science and Practice 2022;60:102562 View
  7. Kongsted A, Jensen T, Doktor K, Hestbæk L. Effects of weekly pain monitoring on back pain outcomes: a non-randomised controlled study. Chiropractic & Manual Therapies 2021;29(1) View
  8. Tousignant-Laflamme Y, Longtin C, Coutu M, Gaudreault N, Kairy D, Nastasia I, Léonard G. Self-management programs to ensure sustainable return to work following long-term sick leave due to low back pain: A sequential qualitative study. Work 2023;75(2):729 View
  9. Kermani F, Zarkesh M, Vaziri M, Sheikhtaheri A. A case-based reasoning system for neonatal survival and LOS prediction in neonatal intensive care units: a development and validation study. Scientific Reports 2023;13(1) View
  10. Lewkowicz D, Bottinger E, Siegel M. Economic Evaluation of Digital Therapeutic Care Apps for Unsupervised Treatment of Low Back Pain: Monte Carlo Simulation. JMIR mHealth and uHealth 2023;11:e44585 View
  11. Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500 View
  12. 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
  13. 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
  14. 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
  15. Szymańska P, Aniśko B, Wójcik M. The effect of stretching exercises on the mobility of the spine in the sagittal plane in people using digital devices – preliminary observations. Fizjoterapia Polska 2023;23(5):108 View
  16. 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
  17. 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
  18. 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
  19. Armfield N, Elphinston R, Liimatainen J, Scotti Requena S, Eather C, Edirippulige S, Ritchie C, Robins S, Sterling M. Development and Use of Mobile Messaging for Individuals With Musculoskeletal Pain Conditions: Scoping Review. JMIR mHealth and uHealth 2024;12:e55625 View
  20. 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
  21. 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
  22. Taboada A, Ly E, Ramo D, Dillon F, Chang Y, Hooper C, Yost E, Haritatos J. Implementing Goal Mama: Barriers and Facilitators to Introducing Mobile Health Technology in a Public Health Nurse Home-Visiting Program. Global Qualitative Nursing Research 2021;8 View
  23. Aparicio Pico L, Coronado Sánchez P, Tinjacá Rodriguez D. Evaluación de la experiencia de usuario y la adecuación funcional en aplicaciones móviles de rehabilitación. Revisión sistemática. Revista Colombiana de Medicina Física y Rehabilitación 2024;34(2):e440 View
  24. Kang D, Park J, Yoon C, Choi C, Lee S, Park T, Chang S, Jang S. Multidisciplinary Digital Therapeutics for Chronic Low Back Pain Versus In-Person Therapeutic Exercise with Education: A Randomized Controlled Pilot Study. Journal of Clinical Medicine 2024;13(23):7377 View