CRIMEDIM-Center for Research and Training in Disaster Medicine, Humanitarian Aid, and Global Health, Università del Piemonte Orientale, 28100 Novara, Italy.
Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.
Int J Environ Res Public Health. 2022 Aug 18;19(16):10298. doi: 10.3390/ijerph191610298.
In 2019, an urban ambulance system was deployed in the city of Beira, Mozambique to refer patients from peripheral health centres (HCs) to the only hospital of the city (Beira Central Hospital-HCB). Initially, the system worked following a first-in-first-out approach, thus leading to referrals not based on severity condition. With the aim of improving the process, the South African Triage Scale (SATS) has been subsequently introduced in three HCs. In this study, we assessed the impact of SATS implementation on the selection process and the accuracy of triage performed by nurses. We assessed 552 and 1608 referral charts from before and after SATS implementation, respectively, and we retrospectively calculated codes. We compared the expected referred patients' codes from the two phases, and nurse-assigned codes to the expected ones. The proportion of referred orange and red codes significantly increased (+12.2% and +12.9%) while the proportion of green and yellow codes decreased (-18.7% and -5.8%). The overall rates of accuracy, and under- and overtriage were 34.2%, 36.3%, and 29.5%, respectively. The implementation of SATS modified the pattern of referred patients and increased the number of severe cases receiving advanced medical care at HCB. While nurses' accuracy improved with the routine use of the protocol, the observed rates of incorrect triage suggest that further research is needed to identify factors affecting SATS application in this setting.
2019 年,莫桑比克贝拉市部署了城市救护车系统,以便将患者从周边卫生中心(HCs)转介到该市唯一的医院(贝拉中央医院-HCB)。最初,该系统采用先到先服务的方法,因此导致转诊不是基于病情严重程度。为了改进这一过程,随后在三个 HCs 中引入了南非分诊量表(SATS)。在这项研究中,我们评估了 SATS 实施对护士分诊选择过程和分诊准确性的影响。我们评估了 SATS 实施前后的 552 份和 1608 份转诊图表,并回顾性地计算了代码。我们比较了两个阶段中预期转诊患者的代码和护士分配的代码与预期代码的一致性。橙色和红色代码的转诊比例显著增加(分别增加了+12.2%和+12.9%),而绿色和黄色代码的转诊比例则减少(分别减少了-18.7%和-5.8%)。总体准确率、低估和高估的比例分别为 34.2%、36.3%和 29.5%。SATS 的实施改变了转诊患者的模式,并增加了在 HCB 接受高级医疗护理的严重病例数量。虽然随着协议的常规使用,护士的准确率有所提高,但观察到的分诊错误率表明,需要进一步研究以确定影响 SATS 在该环境中应用的因素。