Literature DB >> 32104773

Using mobile ECG devices to increase detection of atrial fibrillation across a range of settings in south London.

Alex Lang1, Faye Edwards1, Dominic Norton1, Laura Semple1, Helen Williams1.   

Abstract

The NHS Long Term Plan aims to transform how we tackle cardiovascular disease by improving the detection and treatment of high-risk conditions. One in five strokes are linked to atrial fibrillation (AF) and it is estimated that 500,000 people in the UK have undiagnosed AF. To increase detection of AF, in 2017 NHS England commissioned the Academic Health Science Networks to procure 6,000 mobile electrocardiography (ECG) devices, which were distributed to community settings across the county. The Health Innovation Network as the Academic Health Science Network for south London was responsible for the distribution of approximately 400 mobile ECG devices to a range of settings. A total of 14,835 pulse rhythm checks were performed, detecting 597 people with possible AF. This project provides insight into effectiveness of a wide range of settings in providing opportunistic testing for AF using mobile ECG devices.
© 2020 Royal College of Physicians.

Entities:  

Keywords:  Atrial fibrillation; mobile ECG devices; stroke

Year:  2020        PMID: 32104773      PMCID: PMC7032580          DOI: 10.7861/fhj.2019-0033

Source DB:  PubMed          Journal:  Future Healthc J        ISSN: 2514-6645


  13 in total

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Journal:  Eur Heart J       Date:  2013-07-30       Impact factor: 29.983

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Journal:  BMJ       Date:  2016-09-06

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Authors:  Nicole Lowres; Lis Neubeck; Julie Redfern; S Ben Freedman
Journal:  Thromb Haemost       Date:  2013-04-18       Impact factor: 5.249

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Authors:  Staffan Björck; Bo Palaszewski; Leif Friberg; Lennart Bergfeldt
Journal:  Stroke       Date:  2013-08-27       Impact factor: 7.914

9.  Risks of all-cause and suicide mortality in mental disorders: a meta-review.

Authors:  Edward Chesney; Guy M Goodwin; Seena Fazel
Journal:  World Psychiatry       Date:  2014-06       Impact factor: 49.548

Review 10.  Accuracy of methods for detecting an irregular pulse and suspected atrial fibrillation: A systematic review and meta-analysis.

Authors:  Jaspal S Taggar; Tim Coleman; Sarah Lewis; Carl Heneghan; Matthew Jones
Journal:  Eur J Prev Cardiol       Date:  2015-10-13       Impact factor: 7.804

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