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
.
Journals
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- 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
- 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
- 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
- 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
- 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