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

Web-based and Mobile Health Interventions (3102) Clinical Information and Decision Making (1320) Decision Support for Health Professionals (1132) Back Pain (101) Formative Studies and eHealth/mHealth Development (515) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1304) Mobile Health (mhealth) (2753) Human Factors and Usability Case Studies (743)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26555, first published .
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

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

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

Authors of this article:

Malene Jagd Svendsen1, 2 Author Orcid Image ;   Louise Fleng Sandal2 Author Orcid Image ;   Per Kjær2, 3 Author Orcid Image ;   Barbara I Nicholl4 Author Orcid Image ;   Kay Cooper5 Author Orcid Image ;   Frances Mair4 Author Orcid Image ;   Jan Hartvigsen2, 6 Author Orcid Image ;   Mette Jensen Stochkendahl2, 6 Author Orcid Image ;   Karen Søgaard2, 7 Author Orcid Image ;   Paul Jarle Mork8 Author Orcid Image ;   Charlotte Rasmussen1 Author Orcid Image
Article Authors Cited by (9) Tweetations (30) Metrics

Journals

  1. Blewitt C, Savaglio M, Madden S, Meechan D, O’Connor A, Skouteris H, Hill B. Using Intervention Mapping to Develop a Workplace Digital Health Intervention for Preconception, Pregnant, and Postpartum Women: The Health in Planning, Pregnancy and Postpartum (HiPPP) Portal. International Journal of Environmental Research and Public Health 2022;19(22):15078 View
  2. Fenton A, Cooper-Ryan A, Hardey M, Ahmed W. Football Fandom as a Platform for Digital Health Promotion and Behaviour Change: A Mobile App Case Study. International Journal of Environmental Research and Public Health 2022;19(14):8417 View
  3. 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
  4. Berry A, McCabe C, Muir S, Walsh N. Systematic co-development and testing of a digital behaviour change intervention for osteoarthritis and physical activity: Theoretical mapping and acceptability study. DIGITAL HEALTH 2023;9 View
  5. 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
  6. Wong A, Fong M, Munsell E, Metts C, Lee S, Nicol G, DePaul O, Tomazin S, Kaufman K, Mohr D. Using Intervention Mapping and Behavior Change Techniques to Develop a Digital Intervention for Self-Management in Stroke: Development Study. JMIR Human Factors 2023;10:e45099 View
  7. 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
  8. 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
  9. 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