Dewan Maya, Wolfe Heather, Lin Richard, Ware Eileen, Weiss Michelle, Song Lihai, MacMurchy Matthew, Davis Daniela, Bonafide Christopher
Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
J Hosp Med. 2017 Aug;12(8):652-657. doi: 10.12788/jhm.2782.
Physiologic monitors generate high rates of alarms in the pediatric intensive care unit (PICU), yet few are actionable.
To determine the association between a huddle-based intervention focused on reducing unnecessary alarms and the change in individual patients' alarm rates in the 24 hours after huddles.
Quasi-experimental study with concurrent and historical controls.
A 55-bed PICU.
Three hundred low-acuity patients with more than 40 alarms during the 4 hours preceding a safety huddle in the PICU between April 1, 2015, and October 31, 2015.
Structured safety huddle review and discussion of alarm causes and possible monitor parameter adjustments to reduce unnecessary alarms.
Rate of priority alarms per 24 hours occurring for intervention patients as compared with concurrent and historical controls. Balancing measures included unexpected changes in patient acuity and code blue events.
Clinicians adjusted alarm parameters in the 5 hours following the huddles in 42% of intervention patients compared with 24% of control patients (𝑃 = .002). The estimate of the effect of the intervention adjusted for age and sex compared with concurrent controls was a reduction of 116 priority alarms (95% confidence interval, 37-194) per 24 hours (𝑃 = .004). There were no unexpected changes in patient acuity or code blue events related to the intervention.
Integrating a data-driven monitor alarm discussion into safety huddles was a safe and effective approach to reducing alarms in low-acuity, highalarm PICU patients.
生理监测仪在儿科重症监护病房(PICU)产生的警报率很高,但几乎没有警报是可采取行动的。
确定以减少不必要警报为重点的基于碰头会的干预措施与碰头会后24小时内个体患者警报率变化之间的关联。
采用同期对照和历史对照的准实验研究。
一家拥有55张床位的PICU。
2015年4月1日至2015年10月31日期间,在PICU进行安全碰头会之前4小时内出现40多次警报的300名低危患者。
通过结构化的安全碰头会审查并讨论警报原因以及可能的监测参数调整,以减少不必要的警报。
与同期对照和历史对照相比,干预患者每24小时出现的优先警报率。平衡指标包括患者病情严重程度的意外变化和紧急抢救事件。
42%的干预患者在碰头会后5小时内临床医生调整了警报参数,而对照患者的这一比例为24%(P = .002)。与同期对照相比,在对年龄和性别进行调整后,干预效果的估计值为每24小时减少116次优先警报(95%置信区间,37 - 194)(P = .004)。与干预措施相关的患者病情严重程度或紧急抢救事件没有意外变化。
将数据驱动的监测警报讨论纳入安全碰头会是一种安全有效的方法,可减少低危、高警报PICU患者的警报。