Evidence map›Paper›PMID 40682341›Full record

ArticleWomen's health (London, England)

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.

Dinesh Dharel, Deepak Paudel, Nazeem Muhajarine

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Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Dinesh DharelDepartment of Community Health and Epidemiology, University of Saskatchewan, Saskatoon, SK, Canada.ORCID 0000-0002-9158-8510
Deepak PaudelSave the Children, Kathmandu, Nepal.
Nazeem MuhajarineDepartment of Community Health and Epidemiology, University of Saskatchewan, Saskatoon, SK, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn 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.

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

designModeling-based study.

methodsWe 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.

resultsThe 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.

conclusionNeonatal 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.

Indexed as

COVID-19Delivery, ObstetricInfant MortalityFemaleHumansInfantInfant, NewbornModels, TheoreticalNepalPandemicsPregnancySARS-CoV-2COVID-19 pandemicinstitutional deliverylives saved toolneonatal mortalityNepal

Identifiers

PMID40682341
PMCPMC12276505

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.