@Article{info:doi/10.2196/57413,
author="Wiesm{\"u}ller, Fabian
and Haag, David
and Sareban, Mahdi
and Mayr, Karl
and M{\"u}rzl, Norbert
and Porodko, Michael
and Puelacher, Christoph
and Moser, Lisa-Marie
and Philippi, Marco
and Traninger, Heimo
and H{\"o}fer, Stefan
and Niebauer, Josef
and Schreier, G{\"u}nter
and Hayn, Dieter",
title="Clinical, Psychological, Physiological, and Technical Parameters and Their Relationship With Digital Tool Use During Cardiac Rehabilitation: Comparison and Correlation Study",
journal="JMIR Mhealth Uhealth",
year="2025",
month="Apr",
day="8",
volume="13",
pages="e57413",
keywords="mHealth; telehealth; cardiac rehabilitation; wearable; adherence; health-related quality of life; intrinsic motivation; self-efficacy; health action process approach; cardiac; rehabilitation; quality of life; efficacy; psychological; physiological; digital tools; home training; monitoring; questionnaire; cardiac risk",
abstract="Background: Home and telehealth-based interventions are increasingly used in cardiac rehabilitation, a multidisciplinary model of health care. Digital tools such as wearables or digital training diaries are expected to support patients to adhere to recommended lifestyle changes, including physical exercise programs. As previously published, the EPICURE study (effect of digital tools in outpatient cardiac rehabilitation including home training) analyzed the effects of digital tools, that is, a digital training diary, adherence monitoring, and wearables, on exercise capacity during outpatient cardiac rehabilitation phase III (OUT-III) which includes an approximately 12-week home-training phase. The study encompassed 149 Austrian patients, of which 50 used digital tools. Objective: The present paper takes a deeper look into the EPICURE data to better understand the relation between the use of digital tools and various psychological, clinical, and physiological parameters, and the relation between these parameters and the improvement of exercise capacity during cardiac rehabilitation. Methods: For this work, we analyzed questionnaires concerning the patients' cardiac rehabilitation. On all these parameters we performed 2 analyzes: (1) Comparison of the 2 groups with and without digital tools and (2) correlation with the change in the maximum workload as achieved during the exercise stress test. If data pre- and post OUT-III were available, the change in the respective parameter during OUT-III was determined and group analysis and correlation were applied on data pre OUT-III, data post OUT-III, and the change during OUT-III. Results: We found significant improvements in quality of life in both groups, with no discernible differences between patients with or without digital tools (P=.53). Patients with digital tools perceived significantly higher competence during cardiac rehabilitation (P=.05), and they anticipated higher cardiac risks if nonadherent to physical activity (P=.03). Although, the overall subjectively reported adherence was not significantly different in the 2 groups (P=.50), specific items differed. Patients with digital tools were significantly more likely to do their exercises even when they were tired (P=.01) and less likely to forget their exercises (P=.01). Concerning reasons for (non-) adherence, patients with digital tools reported significantly more often to do their exercises because they enjoyed them (P=.01), whereas they were significantly less likely to stop exercising when muscular pain was worse (P=.01) and to continue doing their exercises when muscular pain improved (P=.02). Finally, patients who reported a high level of concrete planning achieved significantly higher improvements in exercise capacity (r=0.14, P=.04). Conclusions: This comprehensive analysis provides valuable insights into the multifaceted impact of digital tools on outpatient cardiac rehabilitation including home training, shedding light on the importance of digital tools for increased competence and a higher risk perception during cardiac rehabilitation. In addition, the impact of digital tools on adherence and their influence on patient outcomes were assessed in the evolving landscape of digital health interventions. Trial Registration: ClincalTrials.gov NCT04458727; https://clinicaltrials.gov/study/NCT04458727 ",
issn="2291-5222",
doi="10.2196/57413",
url="https://mhealth.jmir.org/2025/1/e57413",
url="https://doi.org/10.2196/57413"
}