Independent Statistician, Solagna, Italy.
Doctors with Africa CUAMM Ethiopia, Wolisso, Ethiopia.
Acta Paediatr. 2022 Oct;111(10):1866-1869. doi: 10.1111/apa.16450. Epub 2022 Jun 23.
Identifying the severity of neonatal respiratory distress (RD) is essential, so that resources can be appropriately allocated. We assessed the ability of nurses to grade neonatal RD in a low-resource setting before and after they were trained to use a dedicated scoring tool.
The study was conducted in the Special Care Unit of St Luke Wolisso Hospital, Ethiopia. Ten nurses reviewed nine local video recordings and graded neonatal RD without a standardised method, which was current practice, and then after they were trained to use the Silverman and Andersen score. The data were analysed using the McNemar test and Cohen's kappa.
Training increased the identification of mild RD from 63% to 93% (p = 0.008) and moderate RD from 40% to 73% (p = 0.03). Severe RD was 93% before and 90% after training (p = 0.99). Overall, the agreement improved from kappa 0.59 to 0.84, mainly by reducing the overestimation of milder degrees of RD.
Being trained on how to use the Silverman and Andersen score improved the ability of nurses to identify mild and moderate neonatal RD. This improvement has the potential to optimise the use of equipment, staff and time.
识别新生儿呼吸窘迫(RD)的严重程度至关重要,以便能够合理分配资源。我们评估了护士在接受专门评分工具使用培训前后,在资源匮乏环境下对新生儿 RD 分级的能力。
本研究在埃塞俄比亚圣卢克沃利索医院的特别护理病房进行。10 名护士在没有标准化方法(即当前实践)的情况下,对 9 个本地视频记录进行了新生儿 RD 评分,然后在接受了使用 Silverman 和 Andersen 评分的培训后再次进行评分。数据分析采用 McNemar 检验和 Cohen's kappa。
培训将轻度 RD 的识别率从 63%提高到 93%(p=0.008),中度 RD 的识别率从 40%提高到 73%(p=0.03)。重度 RD 的识别率在培训前后均为 93%(p=0.99)。总体而言,一致性从 kappa 0.59 提高到 0.84,主要是通过减少对较轻度 RD 的高估。
接受如何使用 Silverman 和 Andersen 评分的培训,提高了护士识别新生儿轻度和中度 RD 的能力。这种改进有可能优化设备、人员和时间的利用。