Gilbert Allison, Brasseur Edmond, Petit Mérédith, Donneau Anne Françoise, D'Orio Vincent, Ghuysen Alexandre
Emergency Department, University Hospital Center, Liège, Belgium.
Biostatistics Unit, University of Liège, Liège, Belgium.
Acta Clin Belg. 2022 Jun;77(3):571-578. doi: 10.1080/17843286.2021.1914948. Epub 2021 Apr 15.
Primary care treatable visits in the Emergency Department (ED) are part of the different factors leading to the overcrowding. Their triage and diversion to alternative care centers could potentially help manage the increasing inflow provided the establishment of an advanced triage to ensure patients' safety. We aim to suggest a new triage tool, PERSEE, and prove its feasibility, safety and performance.
All self-referrals presented to the ED were triaged with the PERSEE algorithm: first, patients were classified with a five-level ED acuity scale and then evaluated by algorithms to determine their appropriate category (ED or Primary Care). Patients were eligible for a redirection if they were triaged by the acuity scale as level 3 or lower, considered as ambulatory patients and finally categorized as primary care patients. We defined appropriate redirections as patients requiring less than three emergency resources, no emergency-specific treatment and no hospitalization.
During the study, 1999 patients were admitted to the ED. Among those, 1333 patients were self-referred (66.9%) of whom 1167 patients were triaged as level 3 or below (58.6%) and 775 patients triaged as ambulatory (39.0%). Among the 775 patients, 200 patients were categorized as primary care treatable (10.0%) and thereby, as potentially eligible for a redirection. We noticed an error rate of 7%, sensitivity of 24.06% and specificity of 97.6%. The redirection rate reached 15% of the self-referrals.
These results indicate that PERSEE triage could lead to a safe redirection and could be an efficient tool to reduce ED crowding provided several adjustments.
急诊科(ED)中初级保健可治疗就诊是导致过度拥挤的不同因素之一。对其进行分诊并将其分流至替代护理中心,在建立先进分诊以确保患者安全的情况下,可能有助于管理不断增加的就诊量。我们旨在提出一种新的分诊工具PERSEE,并证明其可行性、安全性和性能。
所有到急诊科就诊的自我转诊患者均采用PERSEE算法进行分诊:首先,患者按照五级急诊严重程度量表进行分类,然后通过算法评估以确定其合适类别(急诊或初级保健)。如果患者按照严重程度量表被分诊为3级或更低级别,被视为非卧床患者并最终归类为初级保健患者,则有资格被重新定向。我们将适当的重新定向定义为需要少于三种急诊资源、无需特定急诊治疗且无需住院的患者。
在研究期间,1999名患者被收治到急诊科。其中,1333名患者为自我转诊(66.9%),其中1167名患者被分诊为3级或以下(58.6%),775名患者被分诊为非卧床患者(39.0%)。在这775名患者中,200名患者被归类为初级保健可治疗患者(10.0%),因此有可能符合重新定向的条件。我们注意到错误率为7%,灵敏度为24.06%,特异性为97.6%。重新定向率达到自我转诊患者的15%。
这些结果表明,PERSEE分诊可实现安全的重新定向,并且在进行一些调整后可能是减少急诊科拥挤的有效工具。