Evidence map›Paper›PMID 32863824›Full record

ArticleJournal of geriatric cardiology : JGC2020

Remote monitoring of implantable cardioverters defibrillators: a comparison of acceptance between octogenarians and younger patients.

Iva Safarikova, Alan Bulava, Premysl Hajek

Abstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2020. 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. Remote Monitoring of CIEDs-For Both Safety, Economy and Convenience?International journal of environmental research and public health · 2021
    Review
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

3 authors.

Iva SafarikovaFaculty of Health and Social Sciences, the University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic.
Alan BulavaFaculty of Health and Social Sciences, the University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic.
Premysl HajekCardiac Center, Department of Cardiology, Ceske Budejovice Hospital, Ceske Budejovice, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRemote monitoring (RM) is increasingly employed for all types of cardiac implantable devices (CIED). However, there are only limited data on the acceptance of RM by the elderly. The aim of our study was to ascertain how octogenarians assess RM technologies compared to younger, presumably technically more literate patients, and what concerns or technical problems the system presents to both groups of patients.

methodsThe trial was designed as a descriptive, register-based single-center study. The study population consisted of all consecutive patients ≥ 80 years of age (group A,

resultsA total of 85 (90.4%) and 65 (91.5%) valid surveys were obtained for groups A and B, respectively. Ninety-two percent of patients in both groups (

conclusionsThe HM system received good marks and was much appreciated, even in patients over 80 years of age. The level of acceptance and potential psychological stress resulting from RM technology appears to be about the same in older patients as in younger patients. The majority of octogenarians either did not fully understand the clinical benefits of the system or mistakenly thought that the HM system was a substitute for emergency 24-h surveillance. These results highlight the need for better patient education relative to RM technology, with one option being to delegate more of this educational process to specially trained nurses.

Indexed as

EducationImplantable electronic devicesRemote monitoringThe elderly

Identifiers

PMID32863824
PMCPMC7416069

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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.