Analysis of the effects of predictive nursing in hospitalization of patients with COVID-19

ABSTRACT

This study aimed to explore the clinical application effects of predictive nursing in nursing management of patients with new type of coronavirus pneumonia during hospitalization. A retrospective study was used to collect the demographic and clinical characteristics of the patients. The medical team of our hospital supporting the First Hospital of Wuhan City implemented predictive mursing interventions on 83 confirmed patients with new type of coronavirus pneumonia, 2 of whom were mild, 73 were severe, and 8 were critical ill, admitted from 14 February to 17 March, 2020. As of 17 March, 74 patients have been discharged, 12 cases converted from severe to mild, 2 cases were transferred to other department, 3 cases were transferred to other hospital, 3 cases died. One patient died of stroke at admission. The medical staffs in the clinical treatment data of 83 patients(using logistic ordered regression analysis) found that age may be the factor that promotes the development of the new type of coronavirus pneumonia (B=-0.09, P<0.05), for a total of 8 critically ill patients with an average age of>73 vears;patients with a history of coronary heart disease may be at a greater risk during treatment(B=-2.39, P<0.05) smoking history may adverse the recovery progression (B=1.52,P<0.05);the abnormal albumin (ALB) and hemoglobin (HGB) indicators may speed up the disease process (B=-0.40, -0.05;P<0.00,0.00). Following the guidelines for clinical nursing of new type of coronavirus pneumonia, foreseeably formulate timely treatment and nursing intervention protocols, propose and strictly implement medical care measures for the new type of coronavirus pneumonia have obvious effects in the clinical treatment of severe and critically ill patients.