ArticleJMIR rehabilitation and assistive technologies2022
mHealth Apps for Musculoskeletal Rehabilitation: Systematic Search in App Stores and Content Analysis.
Article in JMIR rehabilitation and assistive technologies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.
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
21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Clinical Usability of Exercise Prescription Apps for Professional Use: Systematic Review and Multidimensional Evaluation.JMIR mHealth and uHealth · 2026Pooled it
- Meta-analysis of comparative effects of mobile app-based digital rehabilitation versus traditional rehabilitation after total knee arthroplasty.Frontiers in physiology · 2025Pooled it
- Evaluation of Patient-Facing Mobile Apps to Support Physiotherapy Care: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- Digital delivery of the GDS method for chronic lumbosacral discogenic pain: A pilot study aligning Sustainable development Goals three and four.Pakistan journal of medical sciences · 2026Article
- Individuals' perceptions and experiences of mHealth for home-based rehabilitation in knee osteoarthritis: A qualitative study.Osteoarthritis and cartilage open · 2026Article
- Article
- Asynchronous Broadcasting of Audiovisual Content as a Telerehabilitation Strategy for Patients in Rural Areas: Development and Usability Study.JMIR rehabilitation and assistive technologies · 2026Article
- Effects of an Exercise-Assisting Mobile App (Osteoarthritis-Rehabilitation Assistant [O-RA]) on Rehabilitation Outcomes in Older Adults: Randomized Controlled Parallel Clinical Trial.JMIR rehabilitation and assistive technologies · 2026Article
- The Digital Competences of Exercise Therapists in Obesity Care: A Step Towards Digital Sovereignty Assessed with the DigCompThExO Questionnaire.Healthcare (Basel, Switzerland) · 2026Article
- App-based exercise intervention versus supervised exercise therapy for patients with hip or knee osteoarthritis-the randomised noninferiority DigiOA trial.EULAR rheumatology open · 2025Article
- Gamification in mHealth Apps for Rehabilitation: Protocol for a Scoping Review.JMIR research protocols · 2025Article
- Reviewing Mobile Apps for Teaching Human Anatomy: Search and Quality Evaluation Study.JMIR medical education · 2025Article
- Impact of Remote Symptom Management on Exercise Adherence After Video-Assisted Thoracic Surgery for Lung Cancer in a Tertiary Hospital in China: Protocol for a Prospective Randomized Controlled Trial.JMIR research protocols · 2025Article
- Article
- Technology Update in Management of Multi-Ligament Knee Injuries.Indian journal of orthopaedics · 2024Review
- Mobile Apps for Patients with Peritoneal Dialysis: Systematic App Search and Evaluation.Healthcare (Basel, Switzerland) · 2024Article
- Functionality and Usability of mHealth Apps in Patients with Peritoneal Dialysis: A Systematic Review.Healthcare (Basel, Switzerland) · 2024Review
- The potential of a multimodal digital care program in addressing healthcare inequities in musculoskeletal pain management.NPJ digital medicine · 2023Article
- The Influence of Mobile Device Type on Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation.Sensors (Basel, Switzerland) · 2023Article
- Exercise therapy as a digital therapeutic for chronic disease management: consideration for clinical product development.Frontiers in digital health · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe number of mobile health (mHealth) apps released for musculoskeletal (MSK) injury treatment and self-management with home exercise programs (HEPs) has risen rapidly in recent years as digital health interventions are explored and researched in more detail. As this number grows, it is becoming increasingly difficult for users to navigate the market and select the most appropriate app for their use case. It is also unclear what features the developers of these apps are harnessing to support patient self-management and how they fit into clinical care pathways.
objectiveThe objective of this study was to scope the current market of mHealth apps for MSK rehabilitation and to report on their features, claims, evidence base, and functionalities.
methodsA cross-sectional study of apps for MSK rehabilitation was performed across the iTunes App Store and Google Play Store. Four search terms were used, namely, physiotherapy rehabilitation, physical therapy rehabilitation, rehabilitation exercise, and therapeutic exercise to identify apps, which were then cross-referenced against set selection criteria by 4 reviewers. Each reviewer, where possible, downloaded the app and accessed supplementary literature available on the product to assist in data extraction.
resultsA total of 1322 apps were identified. After applying the inclusion and exclusion criteria and removing duplicates, 144 apps were included in the study. Over half (n=81, 56.3%) of the included apps had been released within the past 3 years. Three quarters (n=107, 74.3%) of the apps made no reference to evidence supporting the design or efficacy of the app, with only 11.1% (n=16) providing direct citations to research. Most of the apps did utilize exercise pictures (n=138, 95.8%) or videos (n=97, 67.4%); however, comparatively few harnessed additional features to encourage engagement and support self-management, such as an adherence log (n=66, 45.8%), communication portal (n=32, 22.2%), patient-reported outcome capture (n=36, 25%), or direct feedback (n=57, 39.6%). Of note and concern, many of these apps prescribed generic exercises (n=93, 64.6%) in the absence of individualized input to the user, with few providing specific patient education (n=43, 34%) and safety advice or disclaimers (n=38, 26.4%).
conclusionsThe cohort of apps included in this study contained a large heterogeneity of features, so it is difficult for users to identify the most appropriate or effective app. Many apps are missing the opportunity to offer key features that could promote exercise adherence and encourage self-management in MSK rehabilitation. Furthermore, very few developers currently offering products on the market are providing evidence to support the design and efficacy of their technologies.
Indexed as
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What OpenQuestion 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 OpenQuestion graph.