Evidence map›Paper›PMID 27431419›Full record

ArticleBMC medical informatics and decision making2016

Cardiac patients show high interest in technology enabled cardiovascular rehabilitation.

Roselien Buys, Jomme Claes, Deirdre Walsh, Nils Cornelis, Kieran Moran, Werner Budts, Catherine Woods, Véronique A Cornelissen

Abstract read
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In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 4 pooled it
–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

44 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  18. Digital home-based multidisciplinary cardiac rehabilitation: How to counteract physical inactivity during the COVID-19 pandemic.Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology · 2022
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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

8 authors.

Roselien BuysDepartment of Rehabilitation Sciences, University of Leuven, Herestraat 49, 3000, Leuven, Belgium. roselien.buys@kuleuven.be.ORCID 0000-0001-8379-3971
Jomme ClaesDepartment of Cardiovascular Sciences, University of Leuven, Herestraat 49, 3000, Leuven, Belgium.
Deirdre WalshSchool of Health and Human Performance, Dublin City University, Dublin 9, Ireland.
Nils CornelisDepartment of Rehabilitation Sciences, University of Leuven, Herestraat 49, 3000, Leuven, Belgium.
Kieran MoranSchool of Health and Human Performance, Dublin City University, Dublin 9, Ireland.
Werner BudtsDepartment of Cardiovascular Sciences, University of Leuven, Herestraat 49, 3000, Leuven, Belgium.
Catherine WoodsSchool of Health and Human Performance, Dublin City University, Dublin 9, Ireland.
Véronique A CornelissenDepartment of Rehabilitation Sciences, University of Leuven, Herestraat 49, 3000, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiac rehabilitation (CR) can slow or reverse the progression of cardiovascular disease (CVD). However, uptake of community-based CR is very low. E-cardiology, e-health and technology solutions for physical activity uptake and monitoring have evolved rapidly and have potential in CVD management. However, it is unclear what the current technology usage is of CVD patients, and their needs and interests for technology enabled CR.

methodsA technology usage questionnaire was developed and completed by patients from a supervised ambulatory CR program and an adult congenital heart disease clinic and from two community-based CR programs. Results were described and related with age, gender and educational level by Spearman correlations.

resultsOf 310 patients, 298 patients (77 % male; mean age 61,7 ± 14,5 years) completed at least 25 questions of the survey and were included in the analysis (completion rate 96 %). Most (97 %) patients had a mobile phone and used the internet (91 %). Heart rate monitors were used by 35 % and 68 % reported to find heart rate monitoring important when exercising at home. Physical activity monitoring was reported by 12 % of the respondents. Respondents were interested in CR support through internet (77 %) and mobile phone (68 %). Many patients reported interest in game-based CR (67 %) and virtual rehabilitation (58 %). At least medium interest in technology enabled CR was reported by 75 % of the patients. Interest decreased with increasing age (r = -0.16; p = 0.005).

conclusionsCVD patients show interest for technology enabled home-based CR. Our results could guide the design of a technology-based, virtual CR intervention.

Indexed as

InternetTherapy, Computer-AssistedUser-Computer InterfaceAdultAgedCardiac RehabilitationCardiovascular DiseasesFemaleHumansMaleMiddle AgedMonitoring, AmbulatoryPatient Acceptance of Health CareCardiac rehabilitationExerciseLifestyle risk reductionPhysical activityTechnology

Identifiers

PMID27431419
PMCPMC4949752

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.