Literature DB >> 35747477

Evaluating the use of a mobile device for detection of atrial fibrillation in primary care.

Patrick J Highton1, Amit Mistri2, Andre Ng3, Karen Glover4, Kamlesh Khunti5, Samuel Seidu6.   

Abstract

A trial fibrillation (AF) increases cardio-embolic stroke risk, yet AF diagnosis and subsequent prophylactic anticoagulant prescription rates are suboptimal globally. This project aimed to increase AF diagnosis and subsequent anticoagulation prescription rates in East Midlands Clinical Commissioning Groups (CCGs). This service improvement evaluation of the East Midlands AF Advance programme investigated the implementation of mobile AF detection devices (Kardia, AliveCor) into primary-care practices within East Midlands CCGs, along with audit tools and clinician upskilling workshops designed to increase AF diagnosis and anticoagulation prescription rates. AF prevalence and prescription data were collected quarterly from July to September (Q3) 2017/18 to April to June/July to September (Q2/3) 2018/19. AF prevalence increased from 1.9% (22,975 diagnoses) in Q3 2017/18 to 2.4% (24,246 diagnoses) in Q2 2018/19 (p=0.026), while the percentage of high-risk AF patients receiving anticoagulants increased from 80.5% in Q3 2017/18 to 86.9% in Q3 2018/19 (p=0.57), surpassing the Public Health England 2019 target of 85%. The East Midlands AF Advance programme increased AF diagnosis and anticoagulation rates, which is expected to be of significant clinical benefit. The mobile AF detection devices provide a more practical alternative to traditional 12-lead electrocardiograms (ECGs) and should be incorporated into routine clinical practice for opportunistic AF detection, in combination with medication reviews to increase anticoagulant prescription.
Copyright © 2021 Medinews (Cardiology) Limited.

Entities:  

Keywords:  anticoagulants; atrial fibrillation; biomedical technology; prevalence; primary health care

Year:  2021        PMID: 35747477      PMCID: PMC8822516          DOI: 10.5837/bjc.2021.005

Source DB:  PubMed          Journal:  Br J Cardiol        ISSN: 0969-6113


  9 in total

Review 1.  Diagnosis of atrial fibrillation after stroke and transient ischaemic attack: a systematic review and meta-analysis.

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Journal:  Lancet Neurol       Date:  2015-03-04       Impact factor: 44.182

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Authors:  Khaldoun G Tarakji; Oussama M Wazni; Thomas Callahan; Mohamed Kanj; Ali H Hakim; Kathy Wolski; Bruce L Wilkoff; Walid Saliba; Bruce D Lindsay
Journal:  Heart Rhythm       Date:  2014-11-18       Impact factor: 6.343

3.  Wireless Smartphone ECG Enables Large-Scale Screening in Diverse Populations.

Authors:  Zachary C Haberman; Ryan T Jahn; Rupan Bose; Han Tun; Jerold S Shinbane; Rahul N Doshi; Philip M Chang; Leslie A Saxon
Journal:  J Cardiovasc Electrophysiol       Date:  2015-03-19

4.  Assessment of Remote Heart Rhythm Sampling Using the AliveCor Heart Monitor to Screen for Atrial Fibrillation: The REHEARSE-AF Study.

Authors:  Julian P J Halcox; Kathie Wareham; Antonia Cardew; Mark Gilmore; James P Barry; Ceri Phillips; Michael B Gravenor
Journal:  Circulation       Date:  2017-08-28       Impact factor: 29.690

5.  What should be the primary treatment in atrial fibrillation: ventricular rate control or sinus rhythm control with long-term anticoagulation?

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Journal:  J Int Med Res       Date:  2009 Mar-Apr       Impact factor: 1.671

6.  Acute stroke with atrial fibrillation. The Copenhagen Stroke Study.

Authors:  H S Jørgensen; H Nakayama; J Reith; H O Raaschou; T S Olsen
Journal:  Stroke       Date:  1996-10       Impact factor: 7.914

7.  Atrial fibrillation as an independent risk factor for stroke: the Framingham Study.

Authors:  P A Wolf; R D Abbott; W B Kannel
Journal:  Stroke       Date:  1991-08       Impact factor: 7.914

8.  Independent risk factors for atrial fibrillation in a population-based cohort. The Framingham Heart Study.

Authors:  E J Benjamin; D Levy; S M Vaziri; R B D'Agostino; A J Belanger; P A Wolf
Journal:  JAMA       Date:  1994-03-16       Impact factor: 56.272

9.  Oral Anticoagulation in Atrial Fibrillation: Development and Evaluation of a Mobile Health Application to Support Shared Decision-Making.

Authors:  Laura Siga Stephan; Eduardo Dytz Almeida; Raphael Boesche Guimarães; Antonio Gaudie Ley; Rodrigo Gonçalves Mathias; Maria Valéria Assis; Tiago Luiz Luz Leiria
Journal:  Arq Bras Cardiol       Date:  2018-02-01       Impact factor: 2.000

  9 in total

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