Department of Thoracic Surgery, Tangdu Hospital, Air Force Military Medical University, Xi'an, Shaanxi 710038, China.
Comput Math Methods Med. 2022 Aug 5;2022:2138826. doi: 10.1155/2022/2138826. eCollection 2022.
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.
本研究旨在构建基于 Smith 模型的肺栓塞风险预测、预警和预控的多学科协作护理模式，并评价其应用效果和住院满意度。选取 2019 年 6 月 1 日至 2021 年 5 月 31 日胸外科住院的 2037 例患者作为研究对象，对照组给予常规肺栓塞预防管理，实验组给予基于 Smith 政策管理模式的安全、案例和计划性多学科干预管理。对数据进行统计学分析。实验组的拔管时间、住院时间、D-二聚体值、术后第 7 天深静脉血栓形成和肺栓塞的发生率均低于对照组，实验组的住院满意度高于对照组。基于 Smith 模型的肺栓塞风险预测、预警和预控的多学科协作护理模式的实施，可促进本科室外科患者肺栓塞风险的预防效果，有效提高住院满意度，值得进一步推广。
