Mobile Health Intervention Contents and Their Effects on the Healthcare of Patients with Left Ventricular Assist Devices: An Integrative Review.
Hye Jin YooSoyoung ShinPublished in: Computers, informatics, nursing : CIN (2023)
Self-care in daily life is important for patients with a left ventricular assist device. Mobile health interventions that use an application, the cloud, or telemonitoring enable active health management. This study reviewed the literature on the contents of mobile health interventions for patients with left ventricular assist devices and their effects. We searched four electronic databases (CINAHL, Cochrane Library, EMBASE, and MEDLINE) and reference lists in May 2022. The search terms consisted of "heart-assist devices" and "residence characteristics," combined with "mobile applications," "telemonitoring," "medical informatics applications," "cell*," "app*," "smartphone," and "cloud." In total, seven studies were included in the review. Mobile health interventions included (1) self-management contents and (2) interactions between patient and healthcare providers. The mobile health device and patient's health management were evaluated as a measure of the effect. This review provides a unique understanding for leveraging mobile health interventions as an effective approach to improve healthcare among patients with left ventricular assist devices. Future mobile health intervention strategies targeting these patients should fully consider the patient's perspective. Furthermore, they should be designed and applied to help with long-term health management, accompanied by an evaluation of their effectiveness on self-care improvement.
Keyphrases
- healthcare
- left ventricular
- physical activity
- randomized controlled trial
- heart failure
- case report
- public health
- left ventricular assist device
- health information
- aortic stenosis
- ejection fraction
- mental health
- acute myocardial infarction
- hypertrophic cardiomyopathy
- newly diagnosed
- systematic review
- cardiac resynchronization therapy
- end stage renal disease
- left atrial
- atrial fibrillation
- single cell
- prognostic factors
- cell therapy
- big data
- health promotion
- transcatheter aortic valve replacement
- deep learning
- human health
- machine learning
- percutaneous coronary intervention