Waynesburg University, Waynesburg, PA; West Virginia University Hospitals, Morgantown, WV.
Waynesburg University, Waynesburg, PA.
J Perianesth Nurs. 2022 Oct;37(5):613-619. doi: 10.1016/j.jopan.2021.11.005. Epub 2022 May 27.
Patients boarding in a 14-bed postanesthesia care unit (PACU) impacted throughput in a large university hospital in West Virginia. The PACU and operating room (OR) boarder rate in 2019 was 12% (n = 1241) and 5% (n = 503), respectively. The purpose of this initiative was to improve PACU throughput by developing an efficient and evidence-based handoff communication process between the PACU and the medical-surgical floors.
The design of the project was evidence-based quality improvement.
An interprofessional team created a nursing patient dashboard in the electronic medical record to be used during handoff communication between the PACU and medical-surgical floor nurses. The dashboard displayed real-time vital signs, patient history, medications, and laboratory results. When the patient met Aldrete score requirements for transfer, PACU nurses notified the floor that the patient was ready for transfer. After allowing 20 minutes for the floor nurse to view the dashboard, the PACU nurse and floor nurse spoke on the phone to discuss any outstanding questions. PACU and OR boarder rates were obtained from the electronic medical record 12 months before and after implementing the nursing patient dashboard. User feedback was gathered via plan-do-study-act cycles, posters, and interviews.
The electronic dashboard was a successful strategy to improve handoff communication between the PACU and receiving units. The dashboard was accepted by the staff with 70% (n = 24) of the comments being positive. A significant decrease in the number of PACU (χ2(1, n = 20,608) =122.63, P < .00001) and OR boarding (χ2 (1, n = 20,283) =14.55, P = .000136) of patients was found in the C-year compared to 2019. For patients who were boarded in the PACU, no significant difference in PACU delay duration was found (t(11) =1.49, P = .149) with the mean in 2019 of 166.96 (SD = 68.38) and the C-Year mean 132.84 (SD = 39.74). For patients who boarded in the OR, there was a significant difference (t(11) =15.590162, P <.00001) between groups for average duration of boarding with the mean in 2019 of 19.06 minutes (SD = 3.72) compared to 1.62 (SD = 1.1) in C-year. However, in July 2020 the PACU intermittently opened 2 flexible beds when the PACU was full, suggesting that OR boarding was not a reliable measure, but PACU boarding remained an accurate measure.
The findings of this evidence-based quality improvement project demonstrated the usefulness of an electronic dashboard tool combined with verbal report to improve patient throughput by decreasing the number of patients boarding in the PACU.
在西弗吉尼亚州的一家大型大学医院,14 张床位的麻醉后护理单元(PACU)中收治的患者影响了整体的吞吐量。2019 年 PACU 和手术室(OR)的收治率分别为 12%(n=1241)和 5%(n=503)。本项目的目的是通过开发 PACU 和外科楼层之间高效且基于证据的交接沟通流程来提高 PACU 的吞吐量。
本项目的设计是基于证据的质量改进。
一个跨专业团队在电子病历中创建了一个护理患者仪表盘,以便在 PACU 和外科楼层护士之间进行交接沟通时使用。该仪表盘显示实时生命体征、患者病史、药物和实验室结果。当患者满足 Aldrete 评分要求可以转移时,PACU 护士会通知楼层,患者已准备好转移。在允许 floor 护士查看仪表盘 20 分钟后,PACU 护士和 floor 护士通过电话交谈以讨论任何未解决的问题。在实施护理患者仪表盘前后的 12 个月内,从电子病历中获取 PACU 和 OR 收治率的数据。通过计划-执行-研究-行动(PDSA)循环、海报和访谈收集用户反馈。
电子仪表盘是改善 PACU 和接收单位之间交接沟通的有效策略。该仪表盘得到了工作人员的认可,有 70%(n=24)的反馈是积极的。PACU(χ2(1, n=20,608)=122.63, P <.00001)和 OR 收治(χ2 (1, n=20,283)=14.55, P=0.000136)的患者数量显著减少。与 2019 年相比,在 C 年中发现 PACU(t(11)=1.49, P=0.149)和 OR 收治(t(11)=15.590162, P <.00001)的患者在 PACU 中的延迟时间没有显著差异,2019 年的平均延迟时间为 166.96(SD=68.38),C 年的平均延迟时间为 132.84(SD=39.74)。对于在 OR 中收治的患者,两组之间的平均收治时间存在显著差异(t(11)=15.590162, P <.00001),2019 年的平均收治时间为 19.06 分钟(SD=3.72),而 C 年的平均收治时间为 1.62 分钟(SD=1.1)。然而,在 2020 年 7 月,当 PACU 满负荷时,PACU 间歇性地开放了 2 张灵活床位,这表明 OR 收治并不是一个可靠的衡量标准,但 PACU 收治仍然是一个准确的衡量标准。
本基于证据的质量改进项目的研究结果表明,电子仪表盘工具与口头报告相结合,通过减少 PACU 收治的患者数量,提高了患者的吞吐量。