Evidence map›Paper›PMID 40198893›Full record

ArticleJMIR mHealth and uHealth2025

Clinical, Psychological, Physiological, and Technical Parameters and Their Relationship With Digital Tool Use During Cardiac Rehabilitation: Comparison and Correlation Study.

Fabian Wiesmüller, David Haag, Mahdi Sareban, Karl Mayr, Norbert Mürzl, Michael Porodko, Christoph Puelacher, Lisa-Marie Moser, Marco Philippi, Heimo Traninger and 4 more

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Fabian WiesmüllerCenter for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Reininghausstraße 13/1, Graz, 8051, Austria, 43 66478588306.ORCID 0000-0001-6567-7782
David HaagCenter for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Reininghausstraße 13/1, Graz, 8051, Austria, 43 66478588306.ORCID 0000-0002-9420-7111
Mahdi SarebanLudwig Boltzmann Institute for Digital Health and Prevention, Ludwig Boltzmann Gesellschaft, Salzburg, Austria.ORCID 0000-0002-8146-0505
Karl MayrCARDIOMED Kardiologisches Rehabilitationszentrum GmbH, Linz, Austria.ORCID 0009-0009-2792-838X
Norbert MürzlInstitut für Präventiv- und Rehabilitationsmedizin, Cardio Vital Wels, Wels, Austria.ORCID 0009-0004-8089-5357
Michael PorodkoInstitut für Präventiv- und Rehabilitationsmedizin, Cardio Vital Wels, Wels, Austria.ORCID 0009-0004-0386-0310
Christoph PuelacherReha Innsbruck, REHAmed-tirol GmbH, Innsbruck, Austria.ORCID 0000-0002-6433-7142
Lisa-Marie MoserReha Innsbruck, REHAmed-tirol GmbH, Innsbruck, Austria.ORCID 0009-0008-4713-6083
Marco PhilippiMedReha GmbH, Feldkirch, Austria.ORCID 0009-0002-6106-5601
Heimo TraningerZARG Zentrum für ambulante Rehabilitation GmbH, Graz, Austria.ORCID 0000-0002-3067-0246
Stefan HöferDepartment of Psychiatry II, Medizinische Universität Innsbruck, Innsbruck, Austria.ORCID 0000-0002-6128-3687
Josef NiebauerLudwig Boltzmann Institute for Digital Health and Prevention, Ludwig Boltzmann Gesellschaft, Salzburg, Austria.ORCID 0000-0002-2811-9041
Günter SchreierCenter for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Reininghausstraße 13/1, Graz, 8051, Austria, 43 66478588306.ORCID 0000-0003-3724-4255
Dieter HaynCenter for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Reininghausstraße 13/1, Graz, 8051, Austria, 43 66478588306.ORCID 0000-0003-1822-9033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cardiac RehabilitationAgedAustriaFemaleHumansMaleMiddle AgedSurveys and Questionnairesadherencecardiaccardiac rehabilitationcardiac riskdigital toolsefficacyhealth action process approachhealth-related quality of lifehome trainingintrinsic motivationmHealthmonitoringphysiologicalpsychologicalquality of lifequestionnairerehabilitationself-efficacytelehealthwearable

Identifiers

PMID40198893
PMCPMC11999382

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.