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Learning Objective 1: The learner will be able to understand the demographics factors associated with the successful unplanned extuation events (UEE).
Learning Objective 2: The learner will be able to understand the medical treatment factors associated with the successful unplanned extuation events (UEE).
Methods: This study focused on patients who had the episode of UEE at critical care units in a regional hospital of Taiwan. A total of 203 episodes were collected by using the structured questionnaire. The factors were individual demographics (age, gender, hospitalization divisions, Glasgow coma scores, placement time of intubation, oxygen flow) and medical treatment (ventilator mode, sedation, analgesic, restrain, nurse workforce). The chi-square test and hieratical logistic regression were used for data analysis.
Results: The successful rate of UEE was 37.93% (n=77). Patients who had Glasgow coma scores greater than 10 and used T-piece trial, and a low ratio of staff and patients were more likely to have successful UEE (P< 0.05). The significant predictors on the successful UEE were age (OR: 0.15, CI: 0.03-0.81, P=0.03), T-piece trial of ventilator mode (OR: 3.30, CI: 1.19-9.19, P=0.02), with restrain (OR: 0.21, CI: 0.06-0.75, P=0.016), and nurse care number of patients (OR: 0.26, CI: 0.12-0.57, P=0.001).
Conclusion: To improve the successful weaning, the factors of age, ventilator mode, restrain and nursing workforce could be used as predictive assessment in order to provide patients an appropriate weaning time.