Literature DB >> 34372905

The effect of a case-finding app on the detection rate of atrial fibrillation compared with opportunistic screening in primary care patients: protocol for a cluster randomized trial.

Simon Gabriël Beerten1, Tine Proesmans2, Bert Vaes3.   

Abstract

BACKGROUND: Atrial fibrillation is a cardiac arrhythmia commonly encountered in a primary care setting. Current screening is limited to pulse palpation and ECG confirmation when an irregular pulse is found. Paroxysmal atrial fibrillation will, however, still be difficult to pick up. With the advent of smartphones, screening could be more cost-efficient by making use of simple applications, lowering the need for intensive screening to discover (paroxysmal) atrial fibrillation. METHODS/
DESIGN: This cluster randomized trial will examine the effect of using a smartphone-based application such as FibriCheck® on the detection rate of atrial fibrillation in a Flemish general practice population. This study will be conducted in 22 primary care practices across the Flanders region of Belgium and will last 12 months. Patients above 65 years of age will be divided in control and intervention groups on the practice level. The control group will be subjected to standard opportunistic screening only, while the intervention group will be prescribed the FibriCheck® app on top of this opportunistic screening. The difference in detection rate between control and intervention groups will be calculated at the end of the study. We will use the online platform INTEGO for pseudonymized data collection and analysis, and risk calculation. DISCUSSION: Smartphone applications might offer a way to cost-effectively screen for (paroxysmal) atrial fibrillation in a primary care setting. This could open the door for the update of future screening guidelines. TRIAL REGISTRATION: ClinicalTrials.gov NCT04545723 . Registered on September 10, 2020.
© 2021. The Author(s).

Entities:  

Keywords:  Atrial fibrillation; Case finding; FibriCheck®; Screening

Year:  2021        PMID: 34372905     DOI: 10.1186/s13063-021-05497-x

Source DB:  PubMed          Journal:  Trials        ISSN: 1745-6215            Impact factor:   2.279


  27 in total

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Journal:  Nat Rev Cardiol       Date:  2014-08-12       Impact factor: 32.419

2.  Epidemiology of atrial fibrillation.

Authors:  Hanis Zulkifly; Gregory Y H Lip; Deirdre A Lane
Journal:  Int J Clin Pract       Date:  2018-03-01       Impact factor: 2.503

3.  Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation.

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Journal:  Chest       Date:  2009-09-17       Impact factor: 9.410

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Authors:  Leif Friberg; Mårten Rosenqvist; Arne Lindgren; Andreas Terént; Bo Norrving; Kjell Asplund
Journal:  Stroke       Date:  2014-07-17       Impact factor: 7.914

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Journal:  Stroke       Date:  1991-08       Impact factor: 7.914

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Journal:  BMC Health Serv Res       Date:  2017-11-10       Impact factor: 2.655

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Authors:  Massimo Zoni-Berisso; Fabrizio Lercari; Tiziana Carazza; Stefano Domenicucci
Journal:  Clin Epidemiol       Date:  2014-06-16       Impact factor: 4.790

9.  Estimated prevalence of undiagnosed atrial fibrillation in the United States.

Authors:  Mintu P Turakhia; Jason Shafrin; Katalin Bognar; Jeffrey Trocio; Younos Abdulsattar; Daniel Wiederkehr; Dana P Goldman
Journal:  PLoS One       Date:  2018-04-12       Impact factor: 3.240

10.  A comparison of the CHARGE-AF and the CHA2DS2-VASc risk scores for prediction of atrial fibrillation in the Framingham Heart Study.

Authors:  Ingrid E Christophersen; Xiaoyan Yin; Martin G Larson; Steven A Lubitz; Jared W Magnani; David D McManus; Patrick T Ellinor; Emelia J Benjamin
Journal:  Am Heart J       Date:  2016-05-17       Impact factor: 4.749

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  2 in total

Review 1.  [Mobile health for detection of atrial fibrillation-Status quo and perspectives].

Authors:  Dennis Lawin; Urs-Vito Albrecht; Zoe Sophie Oftring; Thorsten Lawrenz; Christoph Stellbrink; Sebastian Kuhn
Journal:  Internist (Berl)       Date:  2022-02-11       Impact factor: 0.743

2. 

Authors:  Esther Boudewijns; Annerika Gidding-Slok; Jako Burgers
Journal:  Huisarts Wet       Date:  2022-03-14
  2 in total

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