The University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA.
University Health, 4502 Medical Drive, San Antonio, TX, 78229, USA.
BMC Health Serv Res. 2024 Apr 17;24(1):478. doi: 10.1186/s12913-024-10960-x.
High hospital occupancy degrades emergency department performance by increasing wait times, decreasing patient satisfaction, and increasing patient morbidity and mortality. Late discharges contribute to high hospital occupancy by increasing emergency department (ED) patient length of stay (LOS). We share our experience with increasing and sustaining early discharges at a 650-bed academic medical center in the United States. Our process improvement project followed the Institute of Medicine Model for Improvement of successive Plan‒Do‒Study‒Act cycles. We implemented multiple iterative interventions over 41 months. As a result, the proportion of discharge orders before 10 am increased from 8.7% at baseline to 22.2% (p < 0.001), and the proportion of discharges by noon (DBN) increased from 9.5% to 26.8% (p < 0.001). There was no increase in balancing metrics because of our interventions. RA-LOS (Risk Adjusted Length Of Stay) decreased from 1.16 to 1.09 (p = 0.01), RA-Mortality decreased from 0.65 to 0.61 (p = 0.62) and RA-Readmissions decreased from 0.92 to 0.74 (p < 0.001). Our study provides a roadmap to large academic facilities to increase and sustain the proportion of patients discharged by noon without negatively impacting LOS, 30-day readmissions, and mortality. Continuous performance evaluation, adaptability to changing resources, multidisciplinary engagement, and institutional buy-in were crucial drivers of our success.
高医院入住率通过增加等待时间、降低患者满意度以及增加患者发病率和死亡率来降低急诊科的绩效。延迟出院会通过增加急诊科(ED)患者的住院时间(LOS)来导致高医院入住率。我们在美国一家 650 床位的学术医疗中心分享了增加和维持早期出院的经验。我们的改进项目遵循了医学研究所(IOM)的改进模型,通过连续的计划-执行-研究-行动(PDSA)循环来进行。我们在 41 个月内实施了多个迭代干预措施。结果,上午 10 点前下达出院医嘱的比例从基线时的 8.7%增加到 22.2%(p<0.001),中午前(DBN)出院的比例从 9.5%增加到 26.8%(p<0.001)。由于我们的干预措施,平衡指标没有增加。风险调整后的住院时间(RA-LOS)从 1.16 减少到 1.09(p=0.01),风险调整后的死亡率从 0.65 减少到 0.61(p=0.62),风险调整后的再入院率从 0.92 减少到 0.74(p<0.001)。我们的研究为大型学术机构提供了一条增加和维持中午前出院患者比例的路线图,而不会对 LOS、30 天再入院率和死亡率产生负面影响。持续的绩效评估、适应资源变化的能力、多学科参与以及机构认同是我们成功的关键驱动因素。