Journal of Atrial Fibrillation · 2017 · 30 citations · 10 references
MedicineCardiologyHealth InformaticsClinical CardiologyHealth AssessmentMobile Health InformaticsAtrial FibrillationAtrial FlutterCardiac AssessmentCardiovascular MonitoringElectrocardiographyAtrial Fibrillation AssessmentAtrial Fibrillation DetectionAtrial Fibrillation MonitoringHazard Ratio ModelingImplementation In Clinical PracticeLong-term Ecg MonitoringManagement Of Atrial FlutterSelf-monitoring
BACKGROUND: Little attention has focused on the integration of mobile health (mHealth) technology with self-management approaches to improve the detection and management of atrial fibrillation (AF) in clinical practice. OBJECTIVE: The objective of this study was to investigate the differences between mHealth and usual care over a 6-month follow-up period among patients with a known history of atrial fibrillation. METHODS: QoL assessments were administered at baseline and 6 months to a subset of the patients undergoing daily ECG monitoring. Differences between groups were assessed by t-test, Fisher's exact test, and Cox proportional hazard models. RESULTS: Among the 23 patients with smartphone ECG monitors (16 males and 7 females, mean age 55 ± 10), 14 (61%) had detection of recurrent AF/AFL versus 30% of controls. During the follow-up period, patients given smartphone ECG monitors were more than twice as likely to have an episode of recurrent AF/AFL detected (hazard ratio: 2.55; 95% CI: 1.06 - 6.11; p = 0.04). Among the 13 patients with baseline and 6 month QoL assessments, significant improvements were observed in the physical functioning (p = 0.009), role physical (p = 0.007), vitality (p = 0.03), and mental health domains (p = 0.02). CONCLUSIONS: Cardiac mHealth self-monitoring is a feasible and effective mechanism for enhancing AF/AFL detection that improves quality of life.
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J. Orchard, Nicole Lowres, Ben Freedman et al. · European Journal of Preventive Cardiology · 2016 · 105 citations · Full text