Machado, G.C., Pinheiro, M.B., Lee, H., Ahmed, O. H., Hendrick, P., Williams, C. and Kamper, S.J., 2016. Smartphone apps for the self-management of low back pain: A systematic review. Best Practice and Research Clinical Rheumatology, 30 (6), 1098-11.
Full text available as:
|
PDF
LBP apps proofs.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. 666kB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
DOI: 10.1016/j.berh.2017.04.002
Abstract
Guidelines for low back pain (LBP) often recommend the use of self-management such as unsupervised exercise, booklets, and online education. Another potentially useful way for patients to self-manage LBP is by using smartphone applications (apps). However, to date, there has been no rigorous evaluation of LBP apps and no guidance for consumers on how to select high-quality, evidence-based apps. This chapter reviews smartphone apps for the self-management of LBP and evaluates their content quality and whether they recommend evidence-based interventions. This chapter shows that generally app developers are selecting interventions that are endorsed by guidelines, although their quality is low. There are many apps available for the self-management of LBP, but their effectiveness in improving patient outcomes has not been rigorously assessed. App developers need to work closely with healthcare professionals, researchers, and patients to ensure app content is accurate, evidence based, and engaging.
Item Type: | Article |
---|---|
ISSN: | 1521-6942 |
Uncontrolled Keywords: | Low back pain; Mobile app; mHealth; eHealth;Systematic review |
Group: | Faculty of Health & Social Sciences |
ID Code: | 29222 |
Deposited By: | Symplectic RT2 |
Deposited On: | 17 May 2017 14:03 |
Last Modified: | 14 Mar 2022 14:04 |
Downloads
Downloads per month over past year
Repository Staff Only - |