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临床级联评估方法作为一种新方法,用于评估肯尼亚和乌干达小型和患病新生儿护理设施的身体准备情况。

Clinical cascades as a novel way to assess physical readiness of facilities for the care of small and sick neonates in Kenya and Uganda.

机构信息

Department of Pediatrics, University of California San Francisco, San Francisco, California, United States of America.

Institute of Global Health Sciences, University of California San Francisco, San Francisco, California, United States of America.

出版信息

PLoS One. 2018 Nov 21;13(11):e0207156. doi: 10.1371/journal.pone.0207156. eCollection 2018.

Abstract

BACKGROUND

Globally, there were 2.7 million neonatal deaths in 2015. Significant mortality reduction could be achieved by improving care in low- and middle-income countries (LMIC), where the majority of deaths occur. Determining the physical readiness of facilities to identify and manage complications is an essential component of strategies to reduce neonatal mortality.

METHODS

We developed clinical cascades for 6 common neonatal conditions then utilized these to assess 23 health facilities in Kenya and Uganda at 2 time-points in 2016 and 2017. We calculated changes in resource availability over time by facility using McNemar's test. We estimated mean readiness and loss of readiness for the 6 conditions and 3 stages of care (identification, treatment, monitoring-modifying treatment). We estimated overall mean readiness and readiness loss across all conditions and stages. Finally, we compared readiness of facilities with a newborn special care unit (NSCU) to those without using the two-sample test of proportions.

RESULTS

The cascade model estimated mean readiness of 26.3-26.6% across the 3 stages for all conditions. Mean readiness ranged from 11.6% (respiratory distress-apnea) to 47.8% (essential newborn care) across both time-points. The model estimated overall mean readiness loss of 30.4-31.9%. There was mild to moderate variability in the timing of readiness loss, with the majority occurring in the identification stage. Overall mean readiness was higher among facilities with a NSCU (36.8%) compared to those without (20.0%).

CONCLUSION

The cascade model provides a novel approach to quantitatively assess physical readiness for neonatal care. Among 23 facilities in Kenya and Uganda, we identified a consistent pattern of 30-32% readiness loss across cascades and stages. This aggregate measure could be used to monitor and compare readiness at the facility-, health system-, or national-level. Estimates of readiness and loss of readiness may help guide strategies to improve care, prioritize resources, and promote neonatal survival in LMICs.

摘要

背景

2015 年,全球有 270 万新生儿死亡。通过改善中低收入国家(LMIC)的护理,可以显著降低死亡率,而大多数死亡都发生在这些国家。确定设施在识别和处理并发症方面的身体准备情况是降低新生儿死亡率策略的重要组成部分。

方法

我们为 6 种常见新生儿疾病制定了临床级联,然后利用这些级联在 2016 年和 2017 年的两个时间点评估了肯尼亚和乌干达的 23 个卫生设施。我们使用 McNemar 检验计算了每个设施随时间变化的资源可用性变化。我们估计了 6 种疾病和 3 个护理阶段(识别、治疗、监测-调整治疗)的准备情况和准备情况的损失。我们估计了所有疾病和所有阶段的整体平均准备情况和准备情况的损失。最后,我们使用两样本比例检验比较了有新生儿特护病房(NSCU)的设施和没有 NSCU 的设施的准备情况。

结果

级联模型估计所有条件的 3 个阶段的平均准备率为 26.3-26.6%。两次时间点的平均准备率范围从 11.6%(呼吸窘迫-呼吸暂停)到 47.8%(基本新生儿护理)。模型估计总体平均准备率损失为 30.4-31.9%。准备率损失的时间有轻度到中度的变化,大部分发生在识别阶段。有 NSCU 的设施的总体平均准备率(36.8%)高于没有 NSCU 的设施(20.0%)。

结论

级联模型为定量评估新生儿护理的物理准备情况提供了一种新方法。在肯尼亚和乌干达的 23 个设施中,我们在级联和阶段中发现了 30-32%的准备率损失的一致模式。这一综合指标可用于在设施、卫生系统或国家层面监测和比较准备情况。准备情况和准备情况的损失估计可能有助于指导改善护理、优先配置资源和促进中低收入国家的新生儿生存的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85ce/6248954/a6c0e74fe9e3/pone.0207156.g001.jpg

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