Evidence map›Paper›PMID 37519897›Full record

ArticleFrontiers in digital health2023

Effect of digital tools in outpatient cardiac rehabilitation including home training-results of the EPICURE study.

Dieter Hayn, Mahdi Sareban, Stefan Höfer, Fabian Wiesmüller, Karl Mayr, Norbert Mürzl, Michael Porodko, Christoph Puelacher, Lisa-Marie Moser, Marco Philippi and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04458727 (Auswertung Von Multi-modalen unterstützenden Maßnahmen in Der Ambulant Kardiologischen Rehabilitation Bei Patienten Mit Einer kardiovaskulären Erkrankung), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT04458727 unknown statusnot on this map

Auswertung Von Multi-modalen unterstützenden Maßnahmen in Der Ambulant Kardiologischen Rehabilitation Bei Patienten Mit Einer kardiovaskulären Erkrankung

TypeobservationalSponsorAIT Austrian Institute of Technology GmbHRan2019 to 2020Enrolled150ConditionsEvaluation of Multi-modal Supportive Actions in Outpatient Cardiac Rehabilitation in Subjects With Cardiovascular Disease
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

12 authors.

Dieter HaynCenter for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Graz, Austria.
Mahdi SarebanLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Stefan HöferDepartment of Psychiatry II, Medizinische Universität Innsbruck, Innsbruck, Austria.
Fabian WiesmüllerCenter for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Graz, Austria.
Karl MayrCARDIOMED Kardiologisches Rehabilitationszentrum GmbH, Linz, Austria.
Norbert MürzlInstitut für Präventiv- und Rehabilitationsmedizin, Cardio Vital Wels, Wels, Austria.
Michael PorodkoInstitut für Präventiv- und Rehabilitationsmedizin, Cardio Vital Wels, Wels, Austria.
Christoph PuelacherReha Innsbruck, REHAmed-tirol GmbH, Innsbruck, Austria.
Lisa-Marie MoserReha Innsbruck, REHAmed-tirol GmbH, Innsbruck, Austria.
Marco PhilippiMedReha GmbH, Feldkirch, Austria.
Heimo TraningerZARG Zentrum für ambulante Rehabilitation GmbH, Graz, Austria.
Josef NiebauerLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cardiovascular diseases are the leading cause of death worldwide and are partly caused by modifiable risk factors. Cardiac rehabilitation addresses several of these modifiable risk factors, such as physical inactivity and reduced exercise capacity. However, despite its proven short-term merits, long-term adherence to healthy lifestyle changes is disappointing. With regards to exercise training, it has been shown that rehabilitation supplemented by a) home-based exercise training and b) supportive digital tools can improve adherence. Methods: In our multi-center study (ClincalTrials.gov Identifier: NCT04458727), we analyzed the effect of supportive digital tools like digital diaries and/or wearables such as smart watches, activity trackers, etc. on exercise capacity during cardiac rehabilitation. Patients after completion of phase III out-patient cardiac rehabilitation, which included a 3 to 6-months lasting home-training phase, were recruited in five cardiac rehabilitation centers in Austria. Retrospective rehabilitation data were analyzed, and additional data were generated via patient questionnaires. Results: 107 patients who did not use supportive tools and 50 patients using supportive tools were recruited. Already prior to phase III rehabilitation, patients with supportive tools showed higher exercise capacity ( Discussion: Therefore, our data did not support the hypothesis that the additional use of digital tools like digital diaries and/or wearables during home training leads to further improvement in P

Indexed as

adherencecardiac rehabilitationmHealthtelehealthwearable

Identifiers

PMID37519897
PMCPMC10382682

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.