Wangara Ali A, Hunold Katherine M, Leeper Sarah, Ndiawo Frederick, Mweu Judith, Harty Shaun, Fuchs Rachael, Martin Ian B K, Ekernas Karen, Dunlop Stephen J, Twomey Michèle, Maingi Alice W, Myers Justin Guy
Accident and Emergency Department, Kenyatta National Hospital, PO Box 3956-00200, Nairobi, Kenya.
Department of Emergency Medicine, The Ohio State University, Columbus, OH, USA.
Int J Emerg Med. 2019 Feb 11;12(1):5. doi: 10.1186/s12245-019-0221-3.
Triage protocols standardize and improve patient care in accident and emergency departments (A&Es). Kenyatta National Hospital (KNH), the largest public tertiary hospital in East Africa, is resource-limited and was without A&E-specific triage protocols.
We sought to standardize patient triage through implementation of the South African Triage Scale (SATS). We aimed to (1) assess the reliability of triage decisions among A&E healthcare workers following an educational intervention and (2) analyze the validity of the SATS in KNH's A&E.
Part 1 was a prospective, before and after trial utilizing an educational intervention and assessing triage reliability using previously validated vignettes administered to 166 healthcare workers. Part 2 was a triage chart review wherein we assessed the validity of the SATS in predicting patient disposition outcomes by inclusion of 2420 charts through retrospective, systematic sampling.
Healthcare workers agreed with an expert defined triage standard for 64% of triage scenarios following an educational intervention, and had a 97% agreement allowing for a one-level discrepancy in the SATS score. There was "good" inter-rater agreement based on an intraclass correlation coefficient and quadratic weighted kappa. We analyzed 1209 pre-SATS and 1211 post-SATS patient charts and found a non-significant difference in undertriage and statistically significant decrease in overtriage rates between the pre- and post-SATS cohorts (undertriage 3.8 and 7.8%, respectively, p = 0.2; overtriage 70.9 and 62.3%, respectively, p < 0.05). The SATS had a sensitivity of 92.2% and specificity of 37.7% for predicting admission, death, or discharge in the A&E.
Healthcare worker triage decisions using the SATS were more consistent with expert opinion following an educational intervention. The SATS also performed well in predicting outcomes with high sensitivity and satisfactory levels of both undertriage and overtriage, confirming the SATS as a contextually appropriate triage system at a major East African A&E.
分诊协议可规范并改善急诊部门的患者护理。肯尼亚国家医院(KNH)是东非最大的公立三级医院,资源有限且没有专门针对急诊的分诊协议。
我们试图通过实施南非分诊量表(SATS)来规范患者分诊。我们旨在(1)评估教育干预后急诊医护人员分诊决策的可靠性,以及(2)分析SATS在KNH急诊中的有效性。
第一部分是一项前瞻性的前后对照试验,采用教育干预,并使用先前验证过的病例 vignettes 对166名医护人员进行评估,以确定分诊的可靠性。第二部分是分诊图表回顾,我们通过回顾性系统抽样纳入2420份图表,评估SATS在预测患者处置结果方面的有效性。
教育干预后,医护人员在64%的分诊场景中与专家定义的分诊标准达成一致,并且在SATS评分允许一级差异的情况下,达成率为97%。基于组内相关系数和二次加权kappa,评分者间存在“良好”的一致性。我们分析了1209份SATS实施前和1211份SATS实施后的患者图表,发现SATS实施前后两组在分诊不足方面无显著差异,而过分诊率有统计学意义的下降(分诊不足分别为3.8%和7.8%,p = 0.2;过分诊分别为70.9%和62.3%,p < 0.05)。SATS在预测急诊患者入院、死亡或出院方面的敏感性为92.2%,特异性为37.7%。
教育干预后,医护人员使用SATS进行的分诊决策与专家意见更为一致。SATS在预测结果方面也表现良好,具有高敏感性以及令人满意的分诊不足和过分诊水平,证实了SATS是东非一家大型急诊部门在特定情况下适用的分诊系统。