Department of Emergency Medicine, North Zealand Hospital, Hillerød, Denmark.
Department of Digitalization and Analysis, North Zealand Hospital, Hillerød, Denmark.
BMC Emerg Med. 2024 Aug 15;24(1):147. doi: 10.1186/s12873-024-01069-9.
Emergency department (ED) crowding is a major patient safety concern and has a negative impact on healthcare systems and healthcare providers. We hypothesized that it would be feasible to control crowding by employing a multifaceted approach consisting of systematically fast-tracking patients who are mostly not in need of a hospital stay as assessed by an initial nurse and treated by decision competent physicians.
Data from 120,901 patients registered in a secondary care ED from the 4t quarter of 2021 to the 1st quarter of 2024 was drawn from the electronic health record's data warehouse using the SAP Web Intelligence tool and processed in the Python programming language. Crowding was compared before and after ED transformation from a uniform department into a high flow (α) and a low flow (β) section with patient placement in gurneys/chairs or beds, respectively. Patients putatively not in need of hospitalization were identified by nurse, placed in in the α setting and assessed and treated by decision competent physicians. Incidence of crowding, number of patients admitted per day and readmittances within 72 h following ED admission before and after changes were determined. Values are number of patients, mean ± SEM and mean differences with 95% CIs. Statistical significance was ascertained using Student's two tailed t-test for unpaired values.
Before and after ED changes crowding of 130% amounted to 123.8 h and 19.3 h in the latter. This is a difference of -104.6 ± 23.9 h with a 95% CI of -159.9 to -49.3, Δ% -84 (p = 0.002). There was the same amount of patients / day amounting to 135.8 and 133.5 patients / day Δ% = -1.7 patients 95% CI -6.3 to 1.6 (p = 0.21). There was no change in readmittances within 72 h before and after changes amounting to 9.0% versus 9.5%, Δ% = 0.5, 95%, CI -0.007 to 1.0 (p > 0.052).
It appears feasible to abate crowding with unchanged patient admission and without an increase in readmittances by fast-track assessment and treatment of patients who are not in need of hospitalization.
急诊科(ED)拥挤是一个主要的患者安全问题,对医疗系统和医疗服务提供者都有负面影响。我们假设,通过采用一种多方面的方法来控制拥挤是可行的,这种方法包括系统地快速跟踪那些最初由护士评估不需要住院治疗的患者,并由有决策能力的医生进行治疗。
从 2021 年第四季度到 2024 年第一季度,从电子健康记录的数据仓库中使用 SAP Web Intelligence 工具提取了 120901 名在二级护理 ED 登记的患者的数据,并在 Python 编程语言中进行了处理。拥挤程度在 ED 从一个统一的部门转变为高流量(α)和低流量(β)部分后进行了比较,患者分别被安置在轮床/椅子或床上。由护士识别出不需要住院的患者,将其安置在α设置中,并由有决策能力的医生进行评估和治疗。确定 ED 入院后 72 小时内的拥挤发生率、每天入院患者人数和再入院人数。数值表示患者人数,均值±SEM 和均值差异,置信区间为 95%。使用未配对值的学生双尾 t 检验确定统计学意义。
ED 变化前后,拥挤程度分别为 130%,即 123.8 小时和 19.3 小时,后者相差-104.6±23.9 小时,95%CI-159.9 至-49.3,Δ%–84(p=0.002)。每天的患者数量相同,分别为 135.8 和 133.5 名患者/天,Δ%=–1.7 名患者,95%CI-6.3 至 1.6(p=0.21)。ED 变化前后 72 小时内的再入院率没有变化,分别为 9.0%和 9.5%,Δ%=0.5,95%CI-0.007 至 1.0(p>0.052)。
通过快速评估和治疗不需要住院的患者,可以在不增加再入院率的情况下,减轻拥挤程度,保持患者入院人数不变,这似乎是可行的。