Uwamahoro Chantal, Aluisio Adam R, Chu Esther, Reibling Ellen, Mutabazi Zeta, Karim Naz, Byiringiro Jean Claude, Levine Adam C, Guptill Mindi
Department of Anesthesia, Emergency Medicine and Critical Care, University of Rwanda College of Medicine and Health Sciences, Kigali, Rwanda.
Department of Emergency Medicine, Warren Alpert School of Medicine, Brown University, 55 Claverick Street, Providence, RI 02903, USA.
Afr J Emerg Med. 2020 Mar;10(1):17-22. doi: 10.1016/j.afjem.2019.10.001. Epub 2019 Nov 18.
Triage is essential for efficient and effective delivery of care in emergency centers (ECs) where numerous patients present simultaneously with varying acuity of conditions. Implementing EC triage systems provides a method of recognizing which patients may require admission and are at higher risks for poor health outcomes. Rwanda is experiencing increased demand for emergency care; however, triage has not been well-studied. The University Teaching Hospital of Kigali (UTH-K) is an urban tertiary care health center utilizing a locally modified South African Triage Score (mSATS) that classifies patients into five color categories. Our study evaluated the utility of the mSATS tool at UTH-K.
UTH-K implemented mSATS in April 2013. All patients aged 15 years or older from August 2015 to July 2016 were eligible for inclusion in the database. Variables of interest included demographic information, mSATS category, patient case type (trauma or medical), disposition from the ED and mortality.
1438 cases were randomly sampled; the majority were male (61.9%) and median age was 35 years. Injuries accounted for 56.7% of the cases while medical conditions affected 43.3%. Admission likelihood significantly increased with higher triage color category for medical patients (OR: Yellow = 3.61, p < .001 to Red (with alarm) = 7.80, p < .01). Likelihood for trauma patients, however, was not significantly increased (OR: Yellow = .84, p = .75 to Red (with alarm) = 1.50, p = .65). Mortality rates increased with increasing triage category with the red with alarm category having the highest mortality (7.7%, OR 18.91).
The mSATS tool accurately predicted patient disposition and mortality for the overall ED population. The mSATS tool provided useful clinical guidance on the need for hospital admission for medical patients but did not accurately predict patient disposition for injured patients. Further trauma-specific triage studies are needed to improve emergency care in Rwanda.
在急诊中心,分诊对于高效且有效地提供医疗服务至关重要,因为众多患者会同时前来,病情严重程度各不相同。实施急诊分诊系统提供了一种识别哪些患者可能需要住院治疗以及健康状况不佳风险较高的方法。卢旺达对急诊护理的需求不断增加;然而,分诊尚未得到充分研究。基加利大学教学医院(UTH-K)是一家城市三级医疗保健中心,采用当地改良的南非分诊评分(mSATS),将患者分为五个颜色类别。我们的研究评估了UTH-K的mSATS工具的效用。
UTH-K于2013年4月实施了mSATS。2015年8月至2016年7月所有15岁及以上的患者均有资格纳入数据库。感兴趣的变量包括人口统计学信息、mSATS类别、患者病例类型(创伤或内科)、急诊室处置情况和死亡率。
随机抽取了1438例病例;大多数为男性(61.9%),中位年龄为35岁。损伤占病例的56.7%,而内科疾病占43.3%。内科患者的分诊颜色类别越高,住院可能性显著增加(比值比:黄色=3.61,p<0.001至红色(有警报)=7.80,p<0.01)。然而,创伤患者的可能性没有显著增加(比值比:黄色=0.84,p=0.75至红色(有警报)=1.50,p=0.65)。死亡率随着分诊类别的增加而增加,红色有警报类别死亡率最高(7.7%,比值比18.91)。
mSATS工具准确预测了急诊室总体人群的患者处置情况和死亡率。mSATS工具为内科患者住院需求提供了有用的临床指导,但没有准确预测受伤患者的患者处置情况。需要进一步开展针对创伤的分诊研究,以改善卢旺达的急诊护理。