摘要
目的:探讨风险管理模式在颅脑外伤患者护理中应用的效果。方法:选择2017年12月—2018年12月浙江省绍兴二院收治的300例颅脑外伤患者,按照患者入院时间将2017年12月—2018年6月入院的150例患者作为对照组,将2018年7—12月入院的150例患者作为试验组。对照组给予常规护理措施,试验组在常规护理基础上给予风险管理模式。比较两组患者的格拉斯哥昏迷评分(GCS)和护理不良事件发生情况。结果:干预后两组患者的GCS评分均较护理前升高(P<0.05),且干预后试验组患者的GCS评分[(13.08±2.13)分]高于对照组[(11.32±2.05)分];试验组患者的护理不良事件发生率(4.67%,7/150)低于对照组(11.33%,17/150);以上差异均有统计学意义(P<0.05)。结论:风险管理模式可改善颅脑外伤患者的意识状态和临床预后,降低护理不良事件发生率。
Objective:To explore the application effect of risk management model in nursing of patients with craniocerebral trauma.Methods:A total of 300 patients with craniocerebral trauma who were admitted to Shaoxing Second Hospital from December 2017 to December 2018 were selected.According to the time of admission,150 patients who were admitted from December 2017 to June 2018 were set as the control group and 150 patients who were admitted from July 2018 to December 2018 were set as the experimental group.The control group was given routine nursing measures while the experimental group was given risk management model on the basis of routine nursing.Glasgow Coma Score(GCS)and the incidence of adverse nursing events were compared between the two groups.Results:After the intervention,the GCS scores of patients in the two groups were higher than those before nursing(P<0.05).And the GCS score of the patients in the experimental group after intervention was(13.08±2.13),which was higher than(11.32±2.05)in the control group.The incidence of adverse nursing events in the experimental group(4.67%,7/150)was lower than that in the control group(11.33%,17/150).The above differences were all statistically significant(P<0.05).Conclusions:The risk management model can improve the conscious state and clinical prognosis of patients with craniocerebral trauma,and reduce the incidence of adverse nursing events.
作者
张海娣
Zhang Haidi(Department of Neurosurgery,Shaoxing Second Hospital,Zhejiang Province,Shaoxing 312000,China)
出处
《中华现代护理杂志》
2020年第22期3055-3057,共3页
Chinese Journal of Modern Nursing
关键词
颅脑外伤
意识状态
不良事件
风险管理
Craniocerebral trauma
Conscious state
Adverse events
Risk management