Background: 39% of neonatal deaths in India occur on the first day of life, and 57% during the first three days of births. However, the association between postnatal care (PNC) for newborns and neonatal mortality has not hitherto been examined. The paper aims to examine the association of PNC for newborns with neonatal mortality in India.
Methods: Data from District Level Household Survey, waive three (DLHS-3) conducted in 2007-08 is utilized in the study. We used conditional logit regression models to examine the association of PNC with neonatal mortality. The matching variables included birth order and the age of the mother at the birth of the newborn.
Results: The findings suggest no association between check-up of newborns within 24 hours of birth and neonatal mortality. However, the place where the newborns were examined was significantly associated with neonatal mortality. Moreover, findings do reveal that children of mothers who were advised on 'keeping baby warm (kangaroo care) after birth' during their antenatal sessions were significantly less likely to die during the neonatal period compared to those children whose mothers were not advised about the same.
Conclusions: The findings are relevant because 'keeping baby warm' is one of the most cost-effective and easiest interventions to save babies from dying during the neonatal period. Though randomized controlled trials have already demonstrated the effectiveness of 'keeping baby warm', for the first time this has been found effective in a large-scale population-based study. The findings are of immense value for a country like India where the neonatal mortality rates are unacceptably high.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3405468 | PMC |
| http://dx.doi.org/10.1186/1471-2393-12-33 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Mortality Prediction in Newborns With Persistent Pulmonary Hypertension: A Comparison of Four Illness Severity Scores.
Pediatr Pulmonol
January 2025
Department of Pediatrics, Division of Neonatology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Objective: This study aimed to compare the accuracy of four neonatal illness severity scores for predicting mortality in persistent pulmonary hypertension of the newborn (PPHN).
Study Design: This retrospective study included neonates diagnosed with PPHN between 2013 and 2022. The illness severity scores of four commonly used tools were completed for each infant: the Clinical Risk Index for Babies-II (CRIB-II), the Score for Neonatal Acute Physiology-Perinatal Extension version II (SNAPPE-II) in the first 12 h after admission and maximum oxygenation index (OI) and Vasoactive-Inotropic score (VIS) during the first 24 h (OI24max and VIS24max), 48 h (OI48max and VIS48max), and 72 h (OI72max and VIS72max) after admission.
Environmental Exposures Associated with Enteropathogen Infection in Six-Month-Old Children Enrolled in the ECoMiD Cohort along a Rural-Urban Gradient in Northern Ecuador†.
Environ Sci Technol
January 2025
Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.
Enteropathogens are major contributors to mortality and morbidity, particularly in settings with limited access to water, sanitation, and hygiene infrastructure. To assess transmission pathways associated with enteropathogen infection, we measured household environmental conditions and assayed 22 enteropathogens using TaqMan Array Cards in stool samples from 276 six-month-old children living in communities along a rural-urban gradient in Northern Ecuador. We utilized multivariable models, risk factor importance, and distance-based statistical methods to test factors associated with infection.
View Article and Find Full Text PDFSurvival outcomes among periviable infants: a systematic review and meta-analysis comparing different income countries and time periods.
Front Public Health
January 2025
Department of Neonatology Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Background: Periviable infants are a highly vulnerable neonatal group, and their survival rates are considerably affected by patient-, caregiver-, and institution-level factors, exhibiting wide variability across different income countries and time periods. This study aims to systematically review the literature on the survival rates of periviable infants and compare rates among countries with varied income levels and across different time periods.
Methods: Comprehensive searches were conducted across MEDLINE, Embase, CENTRAL, and Web of Science.
The effect of addressing the top 10 global causes of death on life expectancy in 2019: a global and regional analysis.
Int Health
January 2025
Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Background: The life expectancy (LE) index reflects health changes in society, highlighting trends in health quality and quantity. This study focused on analysing the impact of the top 10 causes of death on the global increase in LE in 2019.
Methods: Data on the top 10 causes of death in 2019 were obtained from the Global Burden of Disease website and a period life table was used to assess how eliminating these causes would impact LE.
Preventing Infant Mortality Through Medicaid-Administered Prenatal Care Coordination: Evidence From Wisconsin.
Health Serv Res
January 2025
School of Nursing, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Objective: To estimate associations between Wisconsin Medicaid's Prenatal Care Coordination (PNCC) program and infant mortality.
Data Sources And Study Setting: We analyzed birth records, Medicaid claims, and infant death records for all resident and in-state Medicaid-paid live deliveries during 2010-2018.
Study Design: We measured PNCC exposure during pregnancy dichotomously (none; any) and categorically (none; assessment/care plan only; service receipt).
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!