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Do Exercise Apps That Watch You Move Actually Help?
A plain-language look at home exercise apps with camera or sensor tracking: do people exercise more, and do they get better?
Chapters
A plain-language episode on home exercise apps that track movement through the phone camera or small wearable sensors. We explain the terms as we go (adherence, randomised controlled trial, meta-analysis, MCID) and look at what recent studies found in shoulder pain, hand injuries, hip and knee replacement and knee osteoarthritis.
Key findings
- Adherence: a 2022 meta-analysis of 11 trials (1,144 people) found digital programmes improved exercise adherence at intermediate follow-up (SMD 0.53, 95% CI 0.35 to 0.70). In the short and long term, the differences were not statistically significant.
- Adherence is not recovery: in knee osteoarthritis, an app without movement tracking doubled the share of people who did all their exercises (36% vs 16%), with no significant difference in knee function.
- Tracking and feedback: in small trials, apps that tracked movement and gave real-time feedback, added to physiotherapy, improved shoulder pain and the recovery of finger movement after hand injuries more than physiotherapy alone.
- Hip replacement: wearable sensors improved a hip score, but by less than the minimal clinically important difference.
- Usability: in older adults without knee problems, a motion-analysis app that users found unstable and hard to use led to lower compliance than standard instructions.
- Most trials were small and short, and the app was usually added to physiotherapy: they show what an app adds to care, not what happens if it replaces the therapist.
Sources
- Essery R, Geraghty AW, Kirby S, Yardley L. Predictors of adherence to home-based physical therapies: a systematic review. Disabil Rehabil 2017;39(6):519-534. DOI: 10.3109/09638288.2016.1153160
- Zhang ZY, et al. Digital rehabilitation programs improve therapeutic exercise adherence for patients with musculoskeletal conditions: a systematic review with meta-analysis. J Orthop Sports Phys Ther 2022;52(11):726-739. DOI: 10.2519/jospt.2022.11384
- Hinman RS, et al. Mobile app to support home exercise adherence in knee osteoarthritis: a randomized clinical trial. Osteoarthritis Cartilage 2026;34(4):631-640. DOI: 10.1016/j.joca.2025.12.012
- Jiang C, et al. The efficiency and cost-effectiveness of wearable sensors in a digital physiotherapeutic total hip arthroplasty-specific training system: randomized controlled trial. JMIR Mhealth Uhealth 2026;14:e93050. DOI: 10.2196/93050
- Sornmayura P, et al. Effects of an exercise-assisting mobile app (O-RA) on rehabilitation outcomes in older adults: randomized controlled parallel clinical trial. JMIR Rehabil Assist Technol 2026;13:e80971. DOI: 10.2196/80971
- Villar-Alises O, et al. Effectiveness of an AI-based home exercise app for rehabilitation of rotator cuff-related shoulder pain: a randomized controlled trial. Musculoskelet Sci Pract 2026;85:103626. DOI: 10.1016/j.msksp.2026.103626
- Bauknecht S, et al. Physiotherapy in your pocket: effectiveness of home exercises using an AI-based smartphone app for the postoperative follow-up of hand injuries. Handchir Mikrochir Plast Chir 2025;57(3):186-194. DOI: 10.1055/a-2599-8250
Further reading
- Full written summary: Home exercise apps with motion tracking: do patients do more, and do they get better?
- Previous episode: Can VR Improve Balance in Parkinson’s Disease?
This video is for educational purposes only and is not medical advice. Narration voice is AI-generated.