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Electronic, mobile, digital health approaches in cardiology and for cardiovascular health.
Official partner journal of the European Congress on eCardiology and eHealth
JMIR Cardio (inaugural Editor-in-Chief: Nico Bruining) is a sister journal of the Journal of Medical Internet Research (JMIR), the top cited journal in health informatics (Impact Factor 2016: 5.175). It covers electronic / digital health approaches in cardiology and for cardiovascular health, which includes ehealth and mhealth approaches for the prevention and treatment of cardiovascular conditions.
JMIR Cardio is also the official journal of the European Congress on eCardiology and eHealth. Best papers presented at the conference are selected for JMIR Cardio and as official partner organization, JMIR authors receive a discount (Promo Code: JMIRECARDIO17).
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Background: With the recent explosion of smartphone use, evidence is emerging on supporting self-management of chronic diseases. Therefore, this review focused on smartphone apps tested on patients wi...
Background: With the recent explosion of smartphone use, evidence is emerging on supporting self-management of chronic diseases. Therefore, this review focused on smartphone apps tested on patients with heart failure (HF). Objective: The aim of this integrative review was to identify and assess the functionalities of mobile health apps targeted toward supporting HF self-care management and thus impacting HF outcomes. Methods: A search of published, peer-reviewed literature was conducted in April 2016 -August 2017 for articles that studied technology-based interventions that utilized mobile apps specific for HF. The initial database search yielded 8597 citations and predefined filters for language and HF were applied and duplicates were removed and final 487 abstracts was reviewed. Articles that used mobile telemonitoring, remote telemonitoring and other self-care interventions not mobile apps, and protocols were excluded that resulted in a total of 18 articles that were assessed for components of self-management and risk of bias. Also 26 commercially available apps, specific for HF were rated using the 5-point Likert scale Mobile Application Rating Scale. Results: Sample size from all 18 studies ranged from 7 to 165 with a total sample size of 847 participants. All of the studies included in this review had usability and/or outcome assessment completed. Nine studies assessed usability of the newly developed mobile system. Seven of the studies were RCTs and four studies were pilot RCTs with sample size less than 20. There were inconsistencies in the components tested and included in the mobile app system increasing bias. Thus, risk of bias was assessed using the Cochrane Collaboration's tool for risk of selection bias, performance bias, detection bias, attrition bias, and reporting bias. Most studies included in this review were under powered and had high bias across all categories indicating varying ranges of methodological rigor. Three studies failed to provide enough information to allow for a complete assessment of bias thus has unknown or unclear risk of bias. This review on commercially available apps demonstrated many incomplete mobile apps, apps with bugs and low quality. Conclusions: Considering the novelty of mobile health interventions in HF and emerging evidence on mobile app development another review may be warranted. Finally, the heterogeneity of the intervention components and the measured outcomes precluded the performance of a meta-analysis; thus, limiting the rigor of this review. The impact of the mobile phone-based HF interventions on HF-related outcomes was inconclusive, yet positive with trends towards making an impact and offer a potentially cost-effective solution with 24/7 access to symptom monitoring as a point of care solution, promoting patient engagement in their care at home. Clinical Trial: None since this is a review article