A randomized 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

Eur J Prev Cardiol. 2024 Dec 23;31(18):2104-2114. doi: 10.1093/eurjpc/zwae312.

Abstract

Aims: 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.

Methods and results: This randomized 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. Atrial fibrillation diagnosis and participant satisfaction were assessed at 6 months. Two hundred participants (mean age 79.0 ± 3.4 years; 54.0% female; 72.5% urban) were enrolled. Atrial fibrillation was diagnosed in 10/97 (10.3%) intervention participants and 2/100 (2.0%) in the control group (odds ratio 5.6, 95% confidence interval 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%).

Conclusion: 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.

Registration: Australian New Zealand Clinical Trials Registry identifier: ACTRN12621000184875.

Keywords: Atrial fibrillation; Digital health; Electrocardiogram; Screening; Stroke.

Plain language summary

Our screening model involves virtual enrolment and training participants aged ≥75 years to use handheld single-lead electrocardiogram 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 five-fold higher rate of AF diagnosis at 6 months compared with 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.

Publication types

  • Randomized Controlled Trial

MeSH terms

  • Aged
  • Aged, 80 and over
  • Atrial Fibrillation* / diagnosis
  • Electrocardiography
  • Electrocardiography, Ambulatory / instrumentation
  • Feasibility Studies*
  • Female
  • Humans
  • Independent Living
  • Male
  • Mass Screening / methods
  • Patient Satisfaction
  • Predictive Value of Tests
  • Remote Sensing Technology / instrumentation
  • Telemedicine
  • Time Factors