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

Abstract Introduction 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 out...

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Main Authors: Anuj Kumar Pandey, Benson M Thomas, Diksha Gautam, Arun Balachandran, Dyah Anantalia Widyastari, Shyamkumar Sriram, Sutapa Bandyopadhyay Neogi
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Pregnancy and Childbirth
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Online Access:https://doi.org/10.1186/s12884-025-07448-9
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author Anuj Kumar Pandey
Benson M Thomas
Diksha Gautam
Arun Balachandran
Dyah Anantalia Widyastari
Shyamkumar Sriram
Sutapa Bandyopadhyay Neogi
author_facet Anuj Kumar Pandey
Benson M Thomas
Diksha Gautam
Arun Balachandran
Dyah Anantalia Widyastari
Shyamkumar Sriram
Sutapa Bandyopadhyay Neogi
author_sort Anuj Kumar Pandey
collection DOAJ
description Abstract Introduction 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.
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spelling doaj-art-cb566b8e67f74d10befd96eff2e4d6202025-08-20T01:54:30ZengBMCBMC Pregnancy and Childbirth1471-23932025-03-0125111310.1186/s12884-025-07448-9Unraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample surveyAnuj Kumar Pandey0Benson M Thomas1Diksha Gautam2Arun Balachandran3Dyah Anantalia Widyastari4Shyamkumar Sriram5Sutapa Bandyopadhyay Neogi6Department of Health Systems and Implementation Research, International Institute of Health Management Research New DelhiSchool of Public Health, SRM Institute of Science and TechnologyDepartment of Health Systems and Implementation Research, International Institute of Health Management Research New DelhiMailman School of Public Health, Columbia UniversityInstitute for Population and Social Research, Mahidol UniversityDepartment of Rehabilitation and Health Services, College of Health and Public Service, University of North TexasDepartment of Health Systems and Implementation Research, International Institute of Health Management Research New DelhiAbstract Introduction 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.https://doi.org/10.1186/s12884-025-07448-9Adverse neonatal outcomeANOsLBWPreterm birthEarly neonatal deathSDG
spellingShingle Anuj Kumar Pandey
Benson M Thomas
Diksha Gautam
Arun Balachandran
Dyah Anantalia Widyastari
Shyamkumar Sriram
Sutapa Bandyopadhyay Neogi
Unraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample survey
BMC Pregnancy and Childbirth
Adverse neonatal outcome
ANOs
LBW
Preterm birth
Early neonatal death
SDG
title Unraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample survey
title_full Unraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample survey
title_fullStr Unraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample survey
title_full_unstemmed Unraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample survey
title_short Unraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample survey
title_sort unraveling the complexity of selected adverse neonatal outcomes in india a multilevel analysis using data from a nationally representative sample survey
topic Adverse neonatal outcome
ANOs
LBW
Preterm birth
Early neonatal death
SDG
url https://doi.org/10.1186/s12884-025-07448-9
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