Application of Key Process Optimization Intervention Under Risk Early Warning Model in the Prevention of Ventilator-associated Pneumonia in Patients with Respiratory Failure

Xing Yanxin; Shi Yinghui; Luo Lanlan

doi:10.3969/j.issn.1004-5775.2025.05.015

Abstract：Objective:To explore the application of key process optimization intervention under risk early warning model in the prevention of ventilator-associated pneumonia(VAP)in patients with respiratory failure.Methods:Taking the implementation time of key process optimization intervention under risk early warning model in PCCM in the hospital with September 2021 as the dividing line.Patients were divided into pre-implementation group and post-implementation group.The treatment status,occurrence of adverse events,implementation rates of measures,qualified rates of measures,nursing comfort and nursing satisfaction were compared between both groups of patients.Results:The ventilation time and ICU stay in post-implementation group were significantly shorter than those in pre-implementation group t=3.975,7.104;P＜0.05).The incidence rate of VAP,incidence rate of adverse events and complaint rate in post-implementation group were significantly lower than those in pre-implementation group(x2=4.909,4.019,4.019;P＜0.05).The implementation rate and qualified rate of prevention and control measures in the post-implementation group were significantly higher than those in the pre-implementation group,with statistically significant difference(x2=14.950,9.653,5.658,15.845,6.008,4.042,5.352,4.376;P＜0.05).The GCQ score(psychological,social,environmental and physiological)of the group after implementation was significantly higher than that of the group before implementation,with statistically significant difference(t=3.025,2.179,2.306,3.515;P＜0.05).The satisfaction of patients in the post-implementation group was higher than that in the pre-implementation group with statistically significant difference(x2=19.25,P＜0.05).Conclusion:Key process optimization intervention under risk early warning model can effectively shorten the ventilation time of patients with respiratory failure,prevent and treat VAP,and improve the implementation rate and efficiency of prevention and treatment measures,and enhance the nursing satisfaction.