Study on the Effect of Prehospital Emergency Nursing Model Based on Network Information Sharing Platform in Acute Ischemic Stroke

Abstract

Background. Acute ischemic stroke is one of the most common emergencies in clinical medicine. Prehospital first aid of ischemic stroke has become the focus and focus of the global medical community. The combination of network information technology and prehospital first aid can better serve the treatment of ischemic stroke. Objective. To explore the effect of prehospital emergency nursing model based on network information sharing platform in acute ischemic stroke. Methods. 78 patients with acute ischemic stroke from February 2020 to October 2021 were studied. Patients were randomly divided into study group ( $n=39$ ) and control group ( $n=39$ ). The control group was given routine first aid nursing. Prehospital first aid nursing based on network information sharing platform was used in the study group. Alarm response time, on-site first aid response time, hospital handover time, National Institutes of Health Stroke scale (NIHSS) at 12 and 24 hours after admission, Glasgow coma scale (GCS) at 12 and 24 hours after admission, incidence of poor prognosis, and nursing satisfaction score at 24 hours after admission were recorded. Results. The emergency response time and hospital handover time in the study group were significantly shorter than those in the control group ( $P<0.05$ ). The NIHSS score and the incidence of poor prognosis at 12 and 24 hours after admission in the study group were lower than those in the control group ( $P<0.05$ ). The GCS scores at 12 hours and 24 hours after admission in the study group were higher than those in the control group ( $P<0.05$ ). The NSNS score of the study group was higher than that of the control group. Conclusion. Prehospital first aid nursing based on network information sharing platform has great application value in patients with acute ischemic stroke. It can shorten the time of first aid, improve patients’ consciousness, and reduce the incidence of poor prognosis.