Unraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample survey

dc.contributor.authorPandey A.K.
dc.contributor.authorThomas B.M.
dc.contributor.authorGautam D.
dc.contributor.authorBalachandran A.
dc.contributor.authorWidyastari D.A.
dc.contributor.authorSriram S.
dc.contributor.authorNeogi S.B.
dc.contributor.correspondencePandey A.K.
dc.contributor.otherMahidol University
dc.date.accessioned2025-04-08T18:10:18Z
dc.date.available2025-04-08T18:10:18Z
dc.date.issued2025-12-01
dc.description.abstractIntroduction: The burden of adverse neonatal outcomes (ANOs), encompassing preterm birth(PTB), low birth weight(LBW), and early neonatal deaths, remain significant public health challenge globally, particularly in developing countries. The study aims to provide estimates of adverse birth outcomes and examine their correlates by using a multi-level model analysis at individual/household/community level. Methodology: The study has chosen three ANOs such as preterm birth(PTB), low birth weight(LBW), and early neonatal deaths (based on available data) for constructing a combined indicator which is calculated by the presence of any one of these variables. We used National-Family-Health-Survey India data(2019–21). Multilevel(three-level) logistic regression model was used to find the probability of binary adverse neonatal outcomes with the effects of individual/household/community level variables among the recently delivered women. Result: Between 2019–21, a total of 26.5% ANOs were reported from 1.7 million pregnant women surveyed, a rate that has increased since 2005–06 (20%). Final multilevel model asserts that women having higher education [OR 0.92, 95%CI 0.88, 0.96), and those registered for antenatal checkups (OR 0.95, 95%CI OR 0.9, 0.99) and know all components of birth-preparedness-and-complication-readiness (OR 0.88, 95%CI 0.84, 0.92) have a higher protective odd of having adverse outcomes. Difficulty in seeking medical help (OR 1.2, 95%CI 1.15, 1.25) and belonging to poor wealth status and no intention to become pregnant (OR 1.11 95% CI 1.05, 1.18) acts as a risk factor. Multilevel model with household, community and district level variables added to the null model showed a decline in the ICC values to 4.7%, 18.8% and 30.9% respectively across district, community, and household levels. Conclusion: The study underscores that specific ANOs in India has shown an increase, prompting significant concern. There is need to institute a mechanism for generating knowledge amongst women to protect them from unwanted pregnancies and later adverse outcomes.
dc.identifier.citationBMC Pregnancy and Childbirth Vol.25 No.1 (2025)
dc.identifier.doi10.1186/s12884-025-07448-9
dc.identifier.eissn14712393
dc.identifier.scopus2-s2.0-105001542061
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/109360
dc.rights.holderSCOPUS
dc.subjectMedicine
dc.titleUnraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample survey
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105001542061&origin=inward
oaire.citation.issue1
oaire.citation.titleBMC Pregnancy and Childbirth
oaire.citation.volume25
oairecerif.author.affiliationInstitute for Population and Social Research, Mahidol University
oairecerif.author.affiliationInternational Institute of Health Management Research, New Delhi
oairecerif.author.affiliationUniversity of North Texas
oairecerif.author.affiliationSRM Institute of Science and Technology
oairecerif.author.affiliationMailman School of Public Health

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