A randomised controlled implementation study integrating patient self-screening with a remote central monitoring system to screen community-dwellers aged 75 years and older for atrial fibrillation.

Atrial fibrillation digital health electrocardiogram screening stroke

Journal

European journal of preventive cardiology
ISSN: 2047-4881
Titre abrégé: Eur J Prev Cardiol
Pays: England
ID NLM: 101564430

Informations de publication

Date de publication:
25 Sep 2024
Historique:
received: 24 04 2024
revised: 03 07 2024
accepted: 23 09 2024
medline: 25 9 2024
pubmed: 25 9 2024
entrez: 25 9 2024
Statut: aheadofprint

Résumé

Diagnosis of atrial fibrillation (AF) provides opportunities to reduce stroke risk. This study aimed to compare AF diagnosis rates, participant satisfaction and feasibility of an electrocardiogram (ECG) self-screening virtual care system with usual care. This randomised controlled implementation study involving community-dwelling people aged ≥75 years was conducted from May 2021 to June 2023. Participants were given a handheld single-lead ECG device and trained to self-record ECGs once daily on weekdays for 12 months. The control group received usual care with their general practitioners in the first 6 months and participated in the subsequent 6 months. AF diagnosis and participant satisfaction were assessed at 6 months. 200 participants (mean age 79.0±3.4 years; 54.0% female; 72.5% urban). AF was diagnosed in 10/97 (10.3%) intervention participants and 2/100 (2.0%) in the control group (Odds Ratio 5.6, 95% CI 1.4-37.3, p=0.03). In the intervention, 80% of AF cases were diagnosed within 3 months. 91/93 (97.9%) intervention participants and 55/93 (59.1%) control-waitlisted participants (p<0.001) were satisfied with AF screening. Of the expected 20 days per month, the overall monthly median number of days participants self-recorded ECGs was 20 (interquartile range 17-22). Participants were confident using the device (93%), reported it was easy to use (98%) and found screening efficient (96%). Patient-led AF self-screening using single-lead ECG devices with a remote central monitoring system was feasible, acceptable, and effective in diagnosing AF among older people. This screening model could be adapted for implementation, interfacing with integrated care models within existing health systems. Our screening model involves virtual enrolment and training participants aged ≥75 years to use handheld single-lead ECG devices. With a remote central support system, older people are empowered to use handheld devices to self-screen atrial fibrillation (AF) at home or elsewhere in the community. This innovative screening model was feasible and acceptable, with high adherence to self-screening among older participants (mean age of 79 years). It yielded a 5-fold higher rate of AF diagnosis at 6 months compared to standard usual care and needed 12 participants screened to find one additional AF. This screening model can be implemented, interfacing with (i.e., communicating, connecting and supporting) the existing healthcare systems. If implemented at scale, it could provide better access and quality of AF screening and care to remote and high-risk populations.

Autres résumés

Type: plain-language-summary (eng)
Our screening model involves virtual enrolment and training participants aged ≥75 years to use handheld single-lead ECG devices. With a remote central support system, older people are empowered to use handheld devices to self-screen atrial fibrillation (AF) at home or elsewhere in the community. This innovative screening model was feasible and acceptable, with high adherence to self-screening among older participants (mean age of 79 years). It yielded a 5-fold higher rate of AF diagnosis at 6 months compared to standard usual care and needed 12 participants screened to find one additional AF. This screening model can be implemented, interfacing with (i.e., communicating, connecting and supporting) the existing healthcare systems. If implemented at scale, it could provide better access and quality of AF screening and care to remote and high-risk populations.

Identifiants

pubmed: 39319703
pii: 7774891
doi: 10.1093/eurjpc/zwae312
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.

Auteurs

Kam Cheong Wong (KC)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, Australia.
Bathurst Rural Clinical School, School of Medicine, Western Sydney University, Bathurst, NSW, Australia.
School of Rural Health, Faculty of Medicine and Health, The University of Sydney, Orange, NSW, Australia.

Tu N Nguyen (TN)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
The George Institute for Global Health, Sydney, Australia.

Simone Marschner (S)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

Samual Turnbull (S)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Department of Cardiology, Westmead Hospital, Westmead, NSW, Australia.

Anupama Balasuriya Indrawansa (AB)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

Rose White (R)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

Mason Jenner Burns (MJ)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

Vishal Gopal (V)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

Haeri Min (H)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

Desi Quintans (D)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

Amy von Huben (A)

School of Public Health, The University of Sydney, Sydney, NSW, Australia.
Menzies Centre for Health Policy and Economics, The University of Sydney, Sydney, NSW, Australia.

Steven A Trankle (SA)

School of Medicine, Western Sydney University, New South Wales, Australia.

Tim Usherwood (T)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Charles Perkins Centre, The University of Sydney, Sydney, Australia.

Richard I Lindley (RI)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Charles Perkins Centre, The University of Sydney, Sydney, Australia.

Saurabh Kumar (S)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Department of Cardiology, Westmead Hospital, Westmead, NSW, Australia.

Clara K Chow (CK)

Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, Australia.
The George Institute for Global Health, Sydney, Australia.
Department of Cardiology, Westmead Hospital, Westmead, NSW, Australia.
Charles Perkins Centre, The University of Sydney, Sydney, Australia.

Classifications MeSH