ArticleJournal of healthcare informatics research2025
"My Back Exercise App"-mHealth for Low Back Pain: Development and Usability Testing.
Article in Journal of healthcare informatics research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Design and Usability Evaluation of a Smartphone Application for Postoperative Self-Management in Breast Cancer Patients.Cancer medicine · 2026Article
- Innovative mHealth for addressing low back pain-related factors amongst lower-limb amputees: A quasi-experimental.African journal of disability · 2026Article
- Article
- Mobile Health and Gamification of Chronic Pain Management: A Narrative Review.Current pain and headache reports · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Effective management of chronic low back pain (LBP) often relies on maintaining a healthy lifestyle. Mobile health (mHealth) applications provide a unique opportunity to support LBP sufferers by integrating evidence-based health education into daily routines. However, many existing mHealth apps lack scientific rigour in their development, limiting their impact. This study reports on developing and usability testing My Back Exercise, an mHealth app designed to support individuals managing chronic LBP through a user-centred, theory-based approach. The development followed the Double Diamond framework and Software Development Life Cycle (SDLC) model, focusing on behaviour change theory to promote healthy lifestyle habits. Usability testing involved ten users and employed the System Usability Scale (SUS) and Mobile App Rating Scale (MARS) to assess engagement, functionality, aesthetics, and information quality. Additionally, a think-aloud approach captured real-time feedback and guided iterative improvements. Results showed that the app was well-received, achieving a SUS mean score of 79 (total score of 100) and a MARS mean score of 3.7 (out of 5.0). Key intervention components included exercises, sleep management, diet, and pain education, contributing to a holistic self-management tool. This study provides a transparent roadmap for the development of evidence-based digital health tools. The My Back Exercise app offers an innovative, holistic approach to help people self-manage chronic LBP using evidence-based methods. Supplementary Information: The online version contains supplementary material available at 10.1007/s41666-024-00179-0.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.