Published on in Vol 11 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/44585, first published
.
![Economic Evaluation of Digital Therapeutic Care Apps for Unsupervised Treatment of Low Back Pain: Monte Carlo Simulation Economic Evaluation of Digital Therapeutic Care Apps for Unsupervised Treatment of Low Back Pain: Monte Carlo Simulation](https://asset.jmir.pub/assets/4a9cd5d8792f3a8faef7f4cab5efe3cc.png 480w,https://asset.jmir.pub/assets/4a9cd5d8792f3a8faef7f4cab5efe3cc.png 960w,https://asset.jmir.pub/assets/4a9cd5d8792f3a8faef7f4cab5efe3cc.png 1920w,https://asset.jmir.pub/assets/4a9cd5d8792f3a8faef7f4cab5efe3cc.png 2500w)
Journals
- Fuming Z, Zhicheng L, Huanjie H, Xinna Z, Rong C, Jiahui P, Liming Y, Xi C, Chuhuai W. Home-based rehabilitation training with human key point detection for chronic low back pain patients: a randomized controlled trial protocol. Trials 2023;24(1) View
- Scala L, Giglioni G, Bertazzoni L, Bonetti F. The Efficacy of the Smartphone App for the Self-Management of Low Back Pain: A Systematic Review and Assessment of Their Quality through the Mobile Application Rating Scale (MARS) in Italy. Life 2024;14(6):760 View