Division of Pulmonary Medicine.
Biomedical Informatics.
Pediatrics. 2022 Jun 1;149(6). doi: 10.1542/peds.2021-051968.
Children requiring long-term mechanical ventilation are at high risk of mortality. Setting ventilator alarms may improve safety, but best practices for setting ventilator alarms have not been established. Our objective was to increase the mean proportion of critical ventilator alarms set for those children requiring chronic mechanical ventilation followed in our pulmonary clinic from 63% to >90%.
Using the Institute for Healthcare Improvement Model for Improvement, we developed, tested, and implemented a series of interventions using Plan-Do-Study-Act cycles. We followed our progress using statistical process control methods. Our primary interventions were: (1) standardization of the clinic workflow, (2) development of an algorithm to guide physicians in selecting and setting ventilator alarms, (3) updating that algorithm based on review of failures and inpatient testing, and (4) enhancing staff engagement to change the culture surrounding ventilator alarms.
We collected baseline data from May 1 to July 13, 2017 on 130 consecutive patients seen in the pulmonary medicine clinic. We found that 63% of critical ventilator alarms were set. Observation of the process, standardization of workflow, and adaptation of an alarm algorithm led to an increase to 85.7% of critical alarms set. Through revising our algorithm to include an apnea alarm, and maximizing provider engagement, more than 95% of critical ventilator alarms were set, exceeding our goal. We sustained this improvement through January 2021.
Our stepwise approach, including process standardization, staff engagement, and integration of an alarm algorithm, improved the use of ventilator alarms in chronically ventilated pediatric patients.
需要长期机械通气的儿童死亡率较高。设置呼吸机报警可以提高安全性,但尚未确定设置呼吸机报警的最佳实践。我们的目标是将在我们的肺病诊所接受慢性机械通气的儿童中设置的关键呼吸机报警的平均比例从 63%提高到>90%。
使用改进的医疗保健改善研究所的改进模型,我们使用计划-执行-研究-行动循环开发、测试和实施了一系列干预措施。我们使用统计过程控制方法跟踪我们的进展。我们的主要干预措施是:(1)标准化诊所工作流程,(2)开发一种算法来指导医生选择和设置呼吸机报警,(3)根据故障和住院测试回顾更新该算法,以及(4)增强员工参与度,改变围绕呼吸机报警的文化。
我们于 2017 年 5 月 1 日至 7 月 13 日收集了在肺病诊所就诊的 130 名连续患者的基线数据。我们发现,63%的关键呼吸机报警已设置。观察过程、工作流程标准化和报警算法的调整导致设置了 85.7%的关键报警。通过修改我们的算法以包括窒息报警,并最大限度地提高提供者的参与度,设置了超过 95%的关键呼吸机报警,超过了我们的目标。我们通过 2021 年 1 月维持了这一改进。
我们的逐步方法,包括流程标准化、员工参与度和报警算法的整合,改善了慢性通气儿科患者对呼吸机报警的使用。