# Clinical Usability of Exercise Prescription Apps for Professional Use: Systematic Review and Multidimensional Evaluation

**Authors:** Cheng-Hao Wu, Che-Ning Chang, Chu-Fang Chang, Ming-Hwai Lin, Hsing-Yu Chen, Yu-Chun Chen

PMC · DOI: 10.2196/77616 · 2026-03-25

## TL;DR

Popular exercise apps meet basic requirements but lack features for safe, personalized long-term exercise plans.

## Contribution

First multidimensional evaluation of exercise prescription apps using clinical and behavioral frameworks.

## Key findings

- Six apps met basic FITT requirements but none supported progressive or individualized adjustments.
- Apps showed moderate quality with strong functionality but limited engagement and scientific evaluation.
- Behavioral techniques for adherence and progression were often missing or poorly implemented.

## Abstract

Exercise prescription is a structured and individualized intervention that requires appropriate progression, tailoring, and behavioral support to ensure safety and long-term effectiveness. With the expansion of mobile health technologies, exercise prescription apps are increasingly used to support the remote delivery of prescribed exercise programs. However, the extent to which widely adopted apps align with established clinical standards remains unclear.

This study aimed to evaluate the clinical usability of popular, no-cost exercise prescription apps from a professional perspective, focusing on clinical integrity, intervention fidelity, behavioral mechanisms, and clinician-assessed digital usability.

A systematic search of Google Play and the Apple App Store identified widely adopted apps that enable clinician-directed exercise prescription. Eligible apps were evaluated using established frameworks, including the frequency, intensity, time, and type (FITT) and FITT, volume, and progression (FITT-VP) principles; the Consensus on Exercise Reporting Template (CERT); the Behavior Change Technique Taxonomy version 1 (BCTTv1); and the Mobile App Rating Scale (MARS). Descriptive analyses and interrater reliability assessments were performed.

Six apps met the inclusion criteria. All satisfied the basic FITT requirements; however, none incorporated explicit guidance on exercise progression or individualized adjustment consistent with the FITT-VP principles. CERT evaluation demonstrated comprehensive reporting of structural components but a consistent absence of progression logic, tailoring strategies, and adverse event documentation. Although multiple behavior change techniques were identified, several techniques considered important for graded progression and sustained adherence in unsupervised settings were infrequently implemented or absent. Overall app quality was moderate, characterized by strong functionality but limited engagement. Only 2 apps reported evidence of scientific evaluation.

Widely adopted exercise prescription apps meet fundamental structural requirements but do not fully support the progressive and individualized processes central to clinical exercise prescription. These findings highlight a gap between structural prescription delivery and independent clinical exercise management. Exercise prescription apps may therefore be most appropriately positioned as adjunctive tools within clinician-guided or hybrid care models. Future development should prioritize transparent progression mechanisms, individualized adjustment, and the implementation of clinically relevant behavior change strategies to enhance safety and long-term effectiveness.

## Full-text entities

- **Diseases:** CERT (MESH:D000092202), myocardial infarction (MESH:D009203), musculoskeletal (MESH:D009140), cardiac conditions (MESH:D006331), chronic diseases (MESH:D002908), ACSM (MESH:D001265), sarcopenia (MESH:D055948), BCTs (MESH:D001523), long COVID (MESH:D000094024), neurological disorders (MESH:D009461), inflammatory (MESH:D007249), COVID-19 (MESH:D000086382)
- **Chemicals:** FITT-VP (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13015917/full.md

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Source: https://tomesphere.com/paper/PMC13015917