ArticleBMC public health2023
Reducing infant and child mortality: assessing the social inclusiveness of child health care policies and programmes in three states of India.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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9 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Socioeconomic disparities in the postnatal growth of preterm infants: a systematic review.Pediatric research · 2025Pooled it
- Prenatal Diagnosis and Genomics in India - Historical Review, Current Status and Road Ahead.Indian journal of pediatrics · 2026Review
- Examining Explicit and Implicit Caste Bias Among Healthcare Providers in India.Health care analysis : HCA : journal of health philosophy and policy · 2026Article
- Association of affirmative action with health and education outcomes and services in India.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Relationships between infant mortality and socioeconomic and demographic factors in Kazakhstan: an analysis from a middle-income country in Central Asia.BMC public health · 2025Article
- Survival Machine-Learning Approach for Predicting Under-Five Mortality in Low Sociodemographic Index States of India.Journal of research in health sciences · 2025Article
- Socio-economic and geographical inequalities in infant mortality rates in Sierra Leone, 2008-2019.BMC public health · 2025Article
- Article
- Socioeconomic-related inequities in child immunization: horizontal and vertical dimensions for policy insights.Health economics review · 2024Article
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Authors and funding
2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundEven though the overall infant mortality rate and child mortality rate have considerably declined in India, the marginalised groups-Scheduled Caste, and Scheduled Tribe, continue to have higher mortality rates. This study looks at the changes in IMR and CMR amongst disadvantaged and advanced social groups at the national level and in three states of India. DATA AND
methodsData from five rounds of National Family Health Survey spanning nearly three decades have been used to measure IMR and CMR according to the social groups for India and for selected states-Bihar, West Bengal, and Tamil Nadu. The relative hazard curves were drawn to understand which social group's children face a higher risk of dying in the first year of birth and between first year and age four in those three states. Further, a log-rank test was applied to examine whether the differences between the survival curves or distributions of the three social groups are statistically significant. Finally, the binary logit regression model was applied to investigate the effect of ethnicity, and other socio-economic and demographic covariates on the risk of infant and child deaths (1-4 years) in the country and in selected states.
resultsHazard curve shows the probability of death within one year of birth was highest among the children belonging to the ST families, followed by SCs in India. And, the CMR was found to be higher amongst the STs compared to all other social groups as well at the national level. While Bihar had a remarkably high infant and child mortality rates, Tamil Nadu possessed the lowest child death rates irrespective of class, caste, and religion. The regression model revealed that most of the caste/tribe gaps in infant and child deaths might be attributed to the place of residence, mother's level of education, economic status, and the number of children in a family. Notably, the multivariate analysis showed that ethnicity was an independent risk factor, when controlled for socioeconomic status.
conclusionThe study detects the persistence of significant caste/tribe differentials in infant and child mortality in India. Poverty, education and health care access issues could be the possible reasons for the premature deaths of the children from deprived castes and tribes. There is a need to critically analyse the current health programmes aimed at reducing IMR and CMR to make them attuned to the needs of the marginalised communities.
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