2019年尼泊尔冠状病毒病大流行高峰期间机构交付覆盖率降低对新生儿存活率的影响:使用拯救生命工具模型进行的估计

IF 2.9
Women's health (London, England) Pub Date : 2025-01-01 Epub Date: 2025-07-19 DOI:10.1177/17455057251347717
Dinesh Dharel, Deepak Paudel, Nazeem Muhajarine
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引用次数: 0

摘要

背景:对尼泊尔大量产科设施的一项令人震惊的观察表明,在最初的全国封锁之后,机构分娩率下降,机构新生儿死亡率上升,这表明大流行对全国新生儿生存轨迹的不利人口影响。目的:我们旨在估计尼泊尔2019年冠状病毒病大流行期间机构交付覆盖率变化对病因特异性新生儿死亡率的影响。设计:基于模型的研究。方法:我们使用基于线性确定性数学模型的开放获取的Lives Saved Tool来估计低收入和中等收入国家因特定原因导致的新生儿死亡率,以估计额外挽救的新生儿生命数量和新生儿死亡率。我们使用机构分娩率的覆盖率变化作为分娩期间干预措施的代表,将大流行期间使用“报告的”覆盖率变化的估计值与尼泊尔每个新生儿行动计划的“目标”进行了比较。结果:当疫情最严重时(尼泊尔2020-2021财政年度),据报道全国年度机构分娩率下降,预计额外挽救的新生儿生命数量较低(104;95%置信区间:69-148)与目标情景(222;95%置信区间:152-313)。然而,在机构交付率上升的2021-2022年,这一数字更高(926;95%置信区间:643-1295)与目标情景(329;95%置信区间:226-466)。与2019-2020年的20.11相比,2020-2021年每1000例活产新生儿预计死亡率的轨迹发生了逆转(增加到20.18),然后在2021-2022年下降到18.75。大多数新生儿的生命将免于窒息、败血症和早产相关并发症。新生儿复苏、热保护和脐带护理是分娩期间最重要的三个救生干预措施。结论:根据救生工具对机构交付覆盖率每变化的预测,尼泊尔的新生儿存活率在2019年冠状病毒大流行高峰期受到不利影响,明年将出现有利反弹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Impact of reduced institutional delivery coverage on neonatal survival during the peak of coronavirus disease 2019 pandemic in Nepal: Estimates using Lives Saved Tool model.

Impact of reduced institutional delivery coverage on neonatal survival during the peak of coronavirus disease 2019 pandemic in Nepal: Estimates using Lives Saved Tool model.

Impact of reduced institutional delivery coverage on neonatal survival during the peak of coronavirus disease 2019 pandemic in Nepal: Estimates using Lives Saved Tool model.

Impact of reduced institutional delivery coverage on neonatal survival during the peak of coronavirus disease 2019 pandemic in Nepal: Estimates using Lives Saved Tool model.

Background: An alarming observation from high-volume obstetric facilities in Nepal indicating a decreased institutional delivery rate and increased institutional neonatal mortality rate after the initial nationwide lockdown signaled the adverse population-level impact of the pandemic on the national trajectory of neonatal survival.

Objectives: We aimed to estimate the impact of change in institutional delivery coverage on cause-specific neonatal mortality during the coronavirus disease 2019 pandemic in Nepal.

Design: Modeling-based study.

Methods: We used the open-access Lives Saved Tool, based on a linear deterministic mathematical model validated for estimating cause-specific neonatal mortality in low- and middle-income countries, to estimate the number of additional neonatal lives saved and neonatal mortality rates. Using coverage change in institutional delivery rates as a proxy for interventions during childbirth, we compared the estimates using 'reported' coverage change during the pandemic with the 'targets' per Nepal Every Newborn Action Plan.

Results: The projected number of additional neonatal lives saved when the pandemic hit the hardest (Nepalese fiscal year 2020-2021) when national annual institutional delivery rate reportedly decreased was lower (104; 95% confidence interval: 69-148) compared to the target scenario (222; 95% confidence interval: 152-313). However, in the next year 2021-2022 when the institutional delivery rate increased, the number was higher (926; 95% confidence interval: 643-1295) compared to target scenario (329; 95% confidence interval: 226-466). The trajectory of the projected neonatal mortality rate per 1000 live births reversed (increased to 20.18) in 2020-2021 compared to 20.11 in 2019-2020 and then tracked down to 18.75 in 2021-2022. Most newborn lives would be saved from asphyxia, sepsis, and prematurity-related complications. Neonatal resuscitation, thermal protection, and cord care are the top three lifesaving interventions during childbirth.

Conclusion: Neonatal survival in Nepal was adversely impacted during the peak of the coronavirus disease 2019 pandemic, with a favorable bounce back next year, based on the Lives Saved Tool projection per change in institutional delivery coverage.

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