Harrison Meghan W, Molina Adolfo L, Wu Chang L, Shaughnessy Erin E
From the MSHA, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL.
MSHQS, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL.
Pediatr Qual Saf. 2025 Feb 19;10(2):e799. doi: 10.1097/pq9.0000000000000799. eCollection 2025 Mar-Apr.
Recent postpandemic respiratory viral surges have highlighted challenges in inpatient capacity at children's hospitals. Our hospital identified a key bottleneck affecting our ability to accommodate patients: afternoon discharge clustering. We sought to improve throughput efficiency by increasing the percentage of patients discharged outside peak hours.
We established an interdisciplinary committee to study our discharge process. We obtained baseline data from January 2021 to April 2022 and determined our peak discharge hours, 11 am-5 pm, when 72% of discharges occurred. Key drivers were identified using the model for improvement, and interventions were trialed using plan-do-study-act cycles. Percent of patients discharged outside peak hours was determined using statistical process control charts (p-charts) as our primary measure. We aimed to improve this percentage by 20% from baseline. Secondary measures were the percentage of discharge orders placed before 9 am and the percentage of patients discharged before 11 am. Balancing measures included average hospital length of stay, discharge turnover time, and patient satisfaction surveys.
The mean percentage of nonpeak discharges between 5 pm and 11 am increased from a baseline of 28% to 36%. Discharge orders placed before 9 am increased from 4% to 16%. Patients discharged before 11 am increased from 7% to 19%. There were no significant changes in length of stay, discharge turnover time, or patient satisfaction with the discharge process. Key interventions included stakeholder involvement and incentives to support faculty and trainee workflow adjustments, including rounding practices.
Our team increased the percentage of patients discharged during nonpeak hours and promoted discharge when medically ready.
近期疫情后呼吸道病毒的激增凸显了儿童医院住院能力方面的挑战。我们医院发现了一个影响收治患者能力的关键瓶颈:下午出院扎堆。我们试图通过提高非高峰时段出院患者的比例来提高 throughput 效率。
我们成立了一个跨学科委员会来研究出院流程。我们获取了2021年1月至2022年4月的基线数据,并确定了出院高峰时段为上午11点至下午5点,这期间72%的患者办理出院。使用改进模型确定关键驱动因素,并通过计划-执行-研究-行动循环试验干预措施。使用统计过程控制图(p图)作为主要衡量指标来确定非高峰时段出院患者的百分比。我们的目标是比基线提高这一百分比20%。次要衡量指标是上午9点前下达出院医嘱的百分比以及上午11点前出院患者的百分比。平衡指标包括平均住院时间、出院周转时间和患者满意度调查。
下午5点至上午11点非高峰时段出院的平均百分比从基线的28%提高到了36%。上午9点前下达的出院医嘱从4%增加到了16%。上午11点前出院的患者从7%增加到了19%。住院时间、出院周转时间或患者对出院流程的满意度没有显著变化。关键干预措施包括利益相关者的参与以及支持教职员工和实习生工作流程调整(包括查房方式)的激励措施。
我们的团队提高了非高峰时段出院患者的比例,并在患者病情允许时促进了出院。