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Clinical Usability of Exercise Prescription Apps for Professional Use: Systematic Review and Multidimensional
Cheng-Hao Wu1, Che-Ning Chang2, Chu-Fang Chang1
1Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
JMIR Mhealth and Uhealth
|March 25, 2026
Summary
Widely used exercise prescription apps lack crucial progression and personalization features needed for effective clinical use. Future apps must integrate these elements for better safety and adherence.
Area of Science:
- Digital Health
- Exercise Science
- Clinical Interventions
Background:
- Exercise prescription requires structured progression and behavioral support for safety and effectiveness.
- Mobile health apps are increasingly used for remote exercise prescription delivery.
- The alignment of popular apps with clinical standards is not well understood.
Purpose of the Study:
- Evaluate the clinical usability of popular, no-cost exercise prescription apps.
- Assess apps based on clinical integrity, intervention fidelity, behavioral mechanisms, and digital usability.
- Identify gaps between app capabilities and clinical exercise prescription standards.
Main Methods:
- Systematic search of app stores for clinician-directed exercise prescription apps.
- Evaluation using frameworks like FITT-VP, CERT, BCTTv1, and MARS.
- Descriptive analysis and interrater reliability assessment of six included apps.
Main Results:
- All apps met basic FITT requirements but lacked explicit progression guidance (FITT-VP principles).
- Comprehensive reporting was noted, but progression logic, tailoring, and adverse event documentation were absent.
- Behavior change techniques for progression and adherence were infrequently used; app quality was moderate with limited engagement.
Conclusions:
- Current exercise prescription apps meet basic needs but fail to fully support progressive and individualized clinical exercise.
- A gap exists between app-based prescription delivery and independent clinical management.
- Apps are best used as adjunctive tools in hybrid care models; future development needs to prioritize progression and behavior change strategies.

