Evidence map›Paper›PMID 35486314›Full record

ReviewCurrent heart failure reports2022

Digital Technologies to Support Better Outcome and Experience of Care in Patients with Heart Failure.

K C C McBeath, C E Angermann, M R Cowie

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current heart failure reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

3 authors.

K C C McBeathRoyal Brompton Hospital (Guy's & St Thomas' NHS Foundation Trust), Sydney Street, London, SW3 6NP, UK.
C E AngermannComprehensive Heart Failure Centre, University and University Hospital Würzburg, Würzburg, Germany.
M R CowieRoyal Brompton Hospital (Guy's & St Thomas' NHS Foundation Trust), Sydney Street, London, SW3 6NP, UK. martin.cowie@kcl.ac.uk.ORCID 0000-0001-7457-2552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewIn this article, we review a range of digital technologies for possible application in heart failure patients, with a focus on lessons learned. We also discuss a future model of heart failure management, as digital technologies continue to become part of standard care. RECENT

findingsDigital technologies are increasingly used by healthcare professionals and those living with heart failure to support more personalised and timely shared decision-making, earlier identification of problems, and an improved experience of care. The COVID-19 pandemic has accelerated the acceptability and implementation of a range of digital technologies, including remote monitoring and health tracking, mobile health (wearable technology and smartphone-based applications), and the use of machine learning to augment data interpretation and decision-making. Much has been learned over recent decades on the challenges and opportunities of technology development, including how best to evaluate the impact of digital health interventions on health and healthcare, the human factors involved in implementation and how best to integrate dataflows into the clinical pathway. Supporting patients with heart failure as well as healthcare professionals (both with a broad range of health and digital literacy skills) is crucial to success. Access to digital technologies and the internet remains a challenge for some patients. The aim should be to identify the right technology for the right patient at the right time, in a process of co-design and co-implementation with patients.

Indexed as

COVID-19Heart FailureTelemedicineDigital TechnologyHumansPandemicsDigital healthDigital technologyHeart failurePerson-centred careShared decision-making

Identifiers

PMID35486314
PMCPMC9051015

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.