Use of mobile applications for heart failure self-management: a systematic review of experimental and qualitative studies
ABSTRACT
Background:
Heart failure is a common cause of hospitalization and patient self-management is essential to avoid decompensation and readmissions. Mobile applications (apps) seem promising in supporting heart failure self-management.
Objective:
This study systematically reviews the evidence on the impact of heart failure self-management apps on health outcomes and patient experience.
Methods:
Four databases (Medline, Embase, CINAHL, and PsycINFO) were searched for studies published from 2008 to 2020 examining interventions that comprised a mobile app targeting heart failure self-management and reported any health-related outcomes or patient perspectives. Studies were independently screened. We performed a narrative synthesis of results. PRISMA guidelines were followed. The protocol was registered in PROSPERO (CRD42020158041).
Results:
Nineteen articles [4 randomized controlled trials (RCTs)], assessing 16 apps and a total of 930 participants were included. The most common app features were symptom monitoring (14 of 16 apps), weight monitoring (13/16), and vital signs monitoring (12/16). RCTs were small and outcomes were predominantly self-reported. Two RCTs reported significant improvement in self-care scale measures, including ‘self-management’ (p=0.01), ‘self-confidence’ (p=0.03) and ‘self-maintenance’ (p=0.03) Two RCTs reported higher unplanned clinic visits. Mortality and emergency department visits were reported in two RCTs and hospital re-admissions in one RCT, with no significant differences. Engagement with the intervention was poorly reported. The most desirable app characteristics were automated self-monitoring and feedback, data integration and sharing, and personalization.
Conclusions:
Mobile apps may improve self-care, particularly if enabling automated self-monitoring and personalized feedback, but more robust evaluation studies are needed addressing key endpoints for heart failure.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.