Telephone training to improve ECG quality in remote screening for atrial fibrillation.

IF 2.3 4区 医学 Q3 BIOPHYSICS Physiological measurement Pub Date : 2024-12-17 DOI:10.1088/1361-6579/ad9798
Kethaki Prathivadi Bhayankaram, Jonathan Mant, James Brimicombe, Andrew Dymond, Kate Williams, Peter H Charlton
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Abstract

Objective.Self-recorded, single-lead electrocardiograms (ECGs) are increasingly used to diagnose arrhythmias. However, they can be of variable quality, affecting the reliability of interpretation. In this analysis of ECGs collected in atrial fibrillation screening studies, our aims were to: (i) determine the quality of ECGs when recorded unsupervised; and (ii) investigate whether telephone training improved ECG quality.Approach.Data was obtained from the Screening for Atrial Fibrillation with ECG to Reduce stroke programme, where participants recorded four single-lead ECG traces per day for three weeks using a handheld device. ECG quality was assessed by an automated algorithm, and participants who recorded >25% poor-quality ECGs from days 4-10 of screening were identified for training to improve ECG recording technique. Training was delivered when research team capacity permitted.Main results.13 741 participants recorded 1127 264 ECGs, of which 41 288 (3.7%) were poor-quality. Most participants (51.5%) did not record any poor-quality ECGs. 1,088 (7.9%) participants met the threshold for training. Of these, 165 participants received training and 923 did not. The median proportion of poor-quality ECGs per participant on days 1-3 was 41.7 (27.3-50.0)% for those who received training and 33.3 (25.0-45.5)% for those who did not. On days 11-21, the median proportions of poor-quality ECGs per participant were significantly lower (p< 0.001) for those who received training, 17.8 (5.0-31.6)%, and those who did not, 14.0 (4.8-30.2)%. Comparing these groups, the mean (95% confidence interval) reduction in proportion of poor-quality ECGs from days 1-3 to days 11-21 was 20.2 (16.8-23.5)% in those who received training and 16.0 (14.7-17.3)% in those who did not (p= 0.396).Significance.Most participants achieved adequate quality ECGs. For those that did not, ECG quality improved over time regardless of whether they received telephone training. Telephone training may therefore not be required to achieve improvements in ECG quality during screening.

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通过电话培训提高心房颤动远程筛查的心电图质量。
目的: 自录单导联心电图越来越多地被用于诊断心律失常。然而,这些心电图的质量参差不齐,影响了判读的可靠性。在对心房颤动筛查研究中收集的心电图进行的分析中,我们的目标是(方法: 数据来自 "通过心电图筛查心房颤动以减少中风(SAFER)"项目,参与者使用手持设备在三周内每天记录四次单导联心电图描记。心电图质量由自动算法进行评估,筛查第 4-10 天记录的劣质心电图超过 25% 的参与者将被确定接受培训,以提高心电图记录技术。在研究团队能力允许的情况下进行培训。主要结果:13,741 名参与者记录了 1,127,264 张心电图,其中 41,288 张(3.7%)为劣质心电图。大多数参与者(51.5%)未记录任何劣质心电图。有 1,088 名参与者(7.9%)达到了接受培训的门槛。其中,165 名参与者接受了培训,923 名未接受培训。在第 1-3 天,接受培训的每位参与者的劣质心电图比例中位数为 41.7(27.3-50.0)%,未接受培训的为 33.3(25.0-45.5)%。在第 11-21 天,每位参与者的劣质心电图比例中位数显著降低(p
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来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
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