Evidence map›Paper›PMID 39081948›Full record

ArticleEuropean heart journal. Digital health2024

Streamlining atrial fibrillation ablation management using a digitization solution.

Jim O'Brien, Sergio Valsecchi, Fionnuala Seaver, Lorena Rosalejos, Diana Arellano, Kristine Laurilla, Gael Jauvert, Noel Fitzpatrick, Tamas Tahin, Ted Keelan and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European heart journal. Digital health, 2024. 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. 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.

Jim O'BrienAtrial Fibrillation Institute, Mater Private Hospital, 71 Eccles Street, Dublin 7, D07 T92C, Ireland.
Sergio ValsecchiBoston Scientific Inc., Natick, MA, USA.ORCID https://orcid.org/0000-0001-7055-6942
Fionnuala SeaverAtrial Fibrillation Institute, Mater Private Hospital, 71 Eccles Street, Dublin 7, D07 T92C, Ireland.
Lorena RosalejosAtrial Fibrillation Institute, Mater Private Hospital, 71 Eccles Street, Dublin 7, D07 T92C, Ireland.
Diana ArellanoAtrial Fibrillation Institute, Mater Private Hospital, 71 Eccles Street, Dublin 7, D07 T92C, Ireland.
Kristine LaurillaAtrial Fibrillation Institute, Mater Private Hospital, 71 Eccles Street, Dublin 7, D07 T92C, Ireland.
Gael JauvertAtrial Fibrillation Institute, Mater Private Hospital, 71 Eccles Street, Dublin 7, D07 T92C, Ireland.
Noel FitzpatrickAtrial Fibrillation Institute, Mater Private Hospital, 71 Eccles Street, Dublin 7, D07 T92C, Ireland.
Tamas TahinAtrial Fibrillation Institute, Mater Private Hospital, 71 Eccles Street, Dublin 7, D07 T92C, Ireland.
Ted KeelanAtrial Fibrillation Institute, Mater Private Hospital, 71 Eccles Street, Dublin 7, D07 T92C, Ireland.
Joseph GalvinAtrial Fibrillation Institute, Mater Private Hospital, 71 Eccles Street, Dublin 7, D07 T92C, Ireland.
Gabor SzeplakiAtrial Fibrillation Institute, Mater Private Hospital, 71 Eccles Street, Dublin 7, D07 T92C, Ireland.ORCID https://orcid.org/0000-0003-3795-1240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Catheter ablation is a widely accepted intervention for atrial fibrillation (AF) management. Prior to undertaking this procedure, thorough patient education on its efficacy and potential complications is crucial. Additionally, educating patients about stroke risk management and anticoagulant therapy is imperative. At Mater Private Hospital in Dublin, we implemented a solution, integrating a customized treatment pathway and a mobile application. This patient-centred approach aims to optimize the clinical management of AF catheter ablation candidates, focusing on knowledge gaps and adherence to guideline-based care to enhance overall outcomes. Methods and results: The application automates pre-operative assessments and post-operative support, facilitating seamless patient-clinician communication. During the observation period (September 2022-April 2023), 63 patients installed the app. Patient adherence to the pathway was strong, with 98% of patients actively engaging in the treatment pathway and with 81% completing all pre-operative tasks. The average enrolment-to-admission duration was 14 days, and post-ablation tasks were fulfilled by 62% of patients within an average of 36 days. Operators perceived the solution as user-friendly and effective in enhancing patient connectivity. Patient satisfaction was high, and knowledge about AF improved notably through the solution, particularly concerning the recognition of symptoms and anticoagulation therapy-related complications. Conclusion: Our findings demonstrate the successful implementation of the app-based Ablation Solution, showcasing widespread patient use, improved adherence, and enhanced understanding of AF and its treatments. The system effectively connects healthcare providers with patients, offering a promising approach to streamline AF catheter ablation management and improve patient outcomes.

Indexed as

Atrial fibrillationCare digitalizationCatheter ablationKnowledgeOutpatient carePatient educationPatient engagement

Identifiers

PMID39081948
PMCPMC11284009

What OpenQuestion holds

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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.