Evidence map›Paper›PMID 41511585›Full record

ReviewCurrent heart failure reports2026

Digital Solutions in HF Education: What Can Patients and Clinicians Gain?

Teresa Castiello, Loreena Hill, Sharon Man, Sheref Elseidy, Daniel Griffin, Mark J Schuuring

Abstract readReview
In one paragraph

Review in Current heart failure reports, 2026. 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. Trial
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

6 authors.

Teresa CastielloCardiology Department, Royal Free Hospital, MIAL Healthcare, London, United Kingdom.
Loreena HillSchool of Nursing & Paramedic Science, Ulster University, Northern Ireland, United Kingdom.
Sharon ManDepartment of Cardiovascular Sciences, University of Leicester, University Hospitals Plymouth NHS Trust, Leicester, United Kingdom.
Sheref ElseidyDepartment of cardiology, Ain Shams University hospitals, Cairo, Egypt.
Daniel GriffinGuy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Mark J SchuuringDepartment of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands. mark.schuuring@utwente.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewHeart failure (HF) imposes an expanding global health burden, necessitating innovative approaches to education for both patients and clinicians. This review evaluates the evolving landscape of digital health tools in HF education and examines how these technologies may enhance accessibility, personalisation, and engagement in contemporary care. RECENT

findingsEmerging evidence demonstrates that digital solutions-ranging from remote educational platforms and interactive applications to AI-assisted learning and immersive reality technologies-can meaningfully improve patient self-management, support clinician knowledge acquisition, and strengthen overall care quality. These tools offer substantial advantages, including remote access to high-quality information, dynamic and interactive learning experiences, and opportunities for continuous monitoring. Nonetheless, challenges persist, particularly regarding equitable access, digital literacy, data quality, and integration into existing clinical workflows. Digital technologies hold considerable promise in optimising HF education for both patients and clinicians. When effectively implemented, they have the potential to improve patient outcomes, enhance clinical decision-making, and support more efficient healthcare delivery. Continued innovation-particularly in AI, virtual and augmented reality, and personalised learning systems-will be essential to address remaining limitations and fully realise the transformative potential of digital HF education.

Indexed as

Heart FailurePatient Education as TopicArtificial IntelligenceDigital HealthDigital MediaHumansArtificial intelligenceDigital educationE-healthHeart failurePatient educationSelf-management

Identifiers

PMID41511585
PMCPMC12789199

What Socratic 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 Socratic graph.