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June 14, 2019JMIR mhealth and uhealth110 citationsOpen Access

Accuracy of mHealth Devices for Atrial Fibrillation Screening: Systematic Review

GGGodwin Denk Giebel

Key Result

Various mHealth devices, including smartphone apps and wearables, demonstrate high accuracy for atrial fibrillation screening, though their suitability depends on the specific technology and clinical setting.

Study Design

Type

Systematic Review (n=22)

Structured PICO

Do mHealth devices accurately screen for atrial fibrillation?

P
Population
A systematic review of 22 studies evaluating the diagnostic accuracy of noninvasive mHealth devices for atrial fibrillation screening.
I
Intervention
mHealth devices for atrial fibrillation screening
O
Outcome
Accuracy of mHealth devices in screening for atrial fibrillation

mHealth devices offer various technological approaches for atrial fibrillation screening, with accuracy depending on the specific technology, setting, and patient population.

Limitations

  • Exogenous factors such as dark skin color, higher body mass index, and motion artifacts during physical activities can increase device errors.
  • Some recorded atrial fibrillation screenings were noninterpretable by the algorithms.
  • Lack of eligible studies assessing the accuracy of certain widely used devices like the ZioPatch compared to a reference method.

Abstract

BACKGROUND: Mobile health (mHealth) devices can be used for the diagnosis of atrial fibrillation. Early diagnosis allows better treatment and prevention of secondary diseases like stroke. Although there are many different mHealth devices to screen for atrial fibrillation, their accuracy varies due to different technological approaches. OBJECTIVE: We aimed to systematically review available studies that assessed the accuracy of mHealth devices in screening for atrial fibrillation. The goal of this review was to provide a comprehensive overview of available technologies, specific characteristics, and accuracy of all relevant studies. METHODS: PubMed and Web of Science databases were searched from January 2014 until January 2019. Our systematic review was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analyses. We restricted the search by year of publication, language, noninvasive methods, and focus on diagnosis of atrial fibrillation. Articles not including information about the accuracy of devices were excluded. RESULTS: We found 467 relevant studies. After removing duplicates and excluding ineligible records, 22 studies were included. The accuracy of mHealth devices varied among different technologies, their application settings, and study populations. We described and summarized the eligible studies. CONCLUSIONS: Our systematic review identifies different technologies for screening for atrial fibrillation with mHealth devices. A specific technology's suitability depends on the underlying form of atrial fibrillation to be diagnosed. With the suitable use of mHealth, early diagnosis and treatment of atrial fibrillation are possible. Successful application of mHealth technologies could contribute to significantly reducing the cost of illness of atrial fibrillation.

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Cite This Study

Godwin Denk Giebel (2019) conducted a systematic review in Atrial fibrillation (n=22). mHealth devices vs. Standard 12-lead ECG or other reference methods was evaluated on Diagnostic accuracy (sensitivity, specificity, PPV, NPV). Various mHealth devices, including smartphone apps and wearables, demonstrate high accuracy for atrial fibrillation screening, though their suitability depends on the specific technology and clinical setting.

synapsesocial.com/papers/6a7c96cf5de18cf3f8fab0cdhttps://doi.org/10.2196/13641
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