Affiliation:
1. Department of Thoracic Surgery, Tangdu Hospital, Air Force Military Medical University, Xi’an, Shaanxi 710038, China
Abstract
The purpose of this study was to construct a multidisciplinary collaborative nursing model for pulmonary embolism risk prediction, early warning, and precontrol based on the Smith model and evaluate the application effect and hospitalization satisfaction. 2,037 patients hospitalized in the thoracic surgery department from June 1, 2019, to May 31, 2021, were selected as the research subjects. The control group received routine pulmonary embolism prevention management, while the experimental group received safe, case-based, and programmatic multidisciplinary intervention management based on the Smith policy management model. The data were analyzed statistically. The experimental group’s extubation and hospitalization time, D-dimer value, incidence of deep vein thrombosis, and pulmonary embolism on the seventh day after surgery were lower than those in the control group, and the satisfaction of hospitalization in the experimental group was higher than that in the control group. The implementation of the multidisciplinary collaborative nursing model of pulmonary embolism risk prediction, early warning, and precontrol based on the Smith model can promote the preventive effect of pulmonary embolism risk of surgical patients in our department and effectively improve the satisfaction of hospitalization, which is worthy for further promotion.
Subject
Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine
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