Digital sensors (non-invasive) for early detection of risk factors for recurrent stroke: A systematic review

Abstract

Background Improving awareness in patients with stroke to detect risk factors of recurrent stroke has recently become a major challenge for all health professionals in preventing recurrence among stroke survivors. Utilization of advanced technology, such as digital sensors, (a non-invasive device) is among the breakthroughs in detecting the risk of disease and promotes more effective prevention and improves quality of care. This study aims to conduct a systematic review on studies addressing early detection of the risk factors of recurrent stroke through the utilization of digital sensors. Methods A literature search was carried out on articles published between 2011 - 2018 on EBSCO, Elsevier, Science Direct, ProQuest, Springer link, PubMed, MEDLINE, PLoS, and the Journal of Community Nursing. The search identified quantitative research studies on the utilization of digital sensors in cases of hypertension, diabetes mellitus, hypercholesterolemia, and cardiac disorders that contributed to stroke recurrence. Each study’s bias was assessed using Review Manager 5. Results Ten articles were analyzed through data extraction. Robust assessment of independent risk factors which provoke recurrent stroke such as hypertension, diabetes mellitus, hypercholesterolemia, and heart diseases could lead to conservation of health resources. It is very important to monitor these factors. With the development of technology, the potential use of non-invasive monitoring for hypertension, diabetes mellitus, hypercholesterolemia, and heart diseases as risk factors for recurrent stroke events is considered effective because it is easy, simple, low cost, sensitive, and does not cause additional suffering for patients. Conclusion A practical and non-invasive method for early detection and monitoring of risk factors may reduce the risk of stroke recurrence among stroke survivors.