Why the study?
Opportunistic screening for silent AF is recommended to reduce stroke, but screening rates remain suboptimal in general practice.
Does an automated patient self-screening station in general practice waiting rooms improve the screening uptake and detection of atrial fibrillation in patients aged ≥65 years?
Does an automated patient self-screening station in general practice waiting rooms improve the screening uptake and detection of atrial fibrillation in patients aged ≥65 years?
This protocol outlines a proof-of-concept study to evaluate the feasibility, acceptability, and diagnostic yield of an automated, integrated atrial fibrillation self-screening station in general practice waiting rooms.
Self-screening stations may raise AF detection rates in primary care; proof-of-concept leaves open feasibility, uptake, and stroke prevention impact.
Opportunistic screening for silent atrial fibrillation (AF) is recommended to reduce stroke, but screening rates are sub-optimal in general practice. We hypothesize that patient self-screening in the waiting room may improve screening and detection of AF. This proof-of-concept study tests a purpose-designed AF self-screening station and customised software which seamlessly integrates with general practice electronic medical records and workflow. The self-screening station records a lead-1 ECG. The software automatically (1) identifies eligible patients (aged ≥65 years, no AF diagnosis) from the practice appointment diary; (2) sends eligible patients an automated SMS reminder prior to their appointment; (3) creates individualised QR code to scan at self-screening station; and (4) imports the ECG and result directly into the patients’ electronic medical record. Between 5 and 8 general practices in New South Wales, Australia, will participate with an aim of 1500 patients undertaking self-screening. The main outcome measures will be the proportion of eligible patients that undertook self-screening, incidence of newly-diagnosed AF, and patient and staff experience of the self-screening process. De-identified data will be collected using a clinical audit tool, and qualitative interviews will determine patient and staff acceptability. Ethics approval was received from the University of Sydney Human Research Ethics Committee in June 2019 (Project no: 2019/382) and the University of Notre Dame Human Research Ethics Committee (Project no: 019145S) in October 2019. Results will be disseminated through various forums, including peer-reviewed publication and conference presentations. Trial registration number ACTRN12620000233921.
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Giskes et al. (2020) studied this question.
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