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March 14, 2017Global Heart57 citationsOpen Access

Feasibility of Using Mobile ECG Recording Technology to Detect Atrial Fibrillation in Low-Resource Settings

GEGrahame F. EvansASArianna ShirkPMPeter Muturi

Structured PICO

Does mobile ECG screening detect previously undiagnosed atrial fibrillation in adults in a low-resource setting?

P
Population
50 African adults attending Kijabe Hospital (Kijabe, Kenya), mean age 54.3 ± 20.5 years, 66% women. Excluded patients with terminal illness or debilitating neurological conditions.
I
Intervention
Mobile ECG recorder (AliveCor Kardia Mobile ECG) used by health care providers to screen for atrial fibrillation via a 30-second recording.
O
Outcome
Feasibility (completion of the study and recruitment of the patients on the planned study time frame) and the yield of the screening by the mobile ECG technology (ability to detect previously undiagnosed AF).

Mobile ECG technology is feasible for atrial fibrillation screening by healthcare providers in low-resource settings and can detect a significant proportion of previously undiagnosed cases.

Limitations

  • Short data collection period
  • Relatively small sample size
  • Single-site setting
  • Exclusion of patients with terminal illness or major neurological disease

Abstract

BACKGROUND: Screening for atrial fibrillation (AF), a major risk factor for stroke that is on the rise in Africa, is becoming increasingly critical. OBJECTIVES: This study sought to examine the feasibility of using mobile electrocardiogram (ECG) recording technology to detect AF. METHODS: In this prospective observational study, we used a mobile ECG recorder to screen 50 African adults (66% women; mean age 54.3 ± 20.5 years) attending Kijabe Hospital (Kijabe, Kenya). Five hospital health providers involved in this study's data collection process also completed a self-administered survey to obtain information on their access to the Internet and mobile devices, both factors necessary to implement ECG mobile technology. Outcome measures included feasibility (completion of the study and recruitment of the patients on the planned study time frame) and the yield of the screening by the mobile ECG technology (ability to detect previously undiagnosed AF). RESULTS: Patients were recruited in a 2-week period as planned; only 1 of the 51 patients approached refused to participate (98% acceptance rate). All of the 50 patients who agreed to participate completed the test and produced readable ECGs (100% study completion rate). ECG tracings of 4 of the 50 patients who completed the study showed AF (8% AF yield), and none had been previously diagnosed with AF. When asked about continuous access to Internet and personal mobile devices, almost all of the health care providers surveyed answered affirmatively. CONCLUSIONS: Using mobile ECG technology in screening for AF in low-resource settings is feasible, and can detect a significant proportion of AF cases that will otherwise go undiagnosed. Further study is needed to examine the cost-effectiveness of this approach for detection of AF and its effect on reducing the risk of stroke in developing countries.

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Cite This Study

Evans et al. (2017) studied this question.

synapsesocial.com/papers/6a0fcda5fb2817e31dfcc450https://doi.org/10.1016/j.gheart.2016.12.003
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