Evidence map›Paper›PMID 42354325›Full record

ArticleInternational journal of environmental research and public health2026

Decomposing Wealth-Based Inequalities in Neonatal Mortality in India: Evidence from National Family Health Survey (2019-2021).

Diksha Gautam, Anuj Kumar Pandey, Benson Thomas M, Sutapa Bandyopadhyay Neogi

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Diksha GautamSRM School of Public Health, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu 603203, Tamil Nadu, India.
Anuj Kumar PandeyDepartment of Health Systems and Implementation Research, International Institute of Health Management Research, New Delhi 110075, Delhi, India.ORCID 0000-0002-3525-4823
Benson Thomas MSRM School of Public Health, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu 603203, Tamil Nadu, India.ORCID 0000-0002-2909-7171
Sutapa Bandyopadhyay NeogiDepartment of Health Systems and Implementation Research, International Institute of Health Management Research, New Delhi 110075, Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India exhibits substantial variation in neonatal mortality across regions and socioeconomic groups. This study used nationally representative survey data (2019-2021) to examine wealth-based inequalities in neonatal mortality. Socioeconomic disparities were assessed using Erreygers' Normalized Concentration Index (ECI) and concentration curves, with subgroup analyses by residence, state development status (Empowered Action Group (EAG) vs. non-EAG), district typology, and region. Inequality was further decomposed using the Wagstaff method. Analysis of 176,843 most recent live births revealed marked rural-urban disparities, with neonatal mortality in rural areas (18.3 per 1000 live births) 1.6 times higher than in urban areas (11.5). Neonatal mortality was significantly concentrated among poorer households (ECI: -0.0123;

Indexed as

Infant MortalityFemaleHealth SurveysHumansIndiaInfantInfant, NewbornRural PopulationSocioeconomic Disparities in HealthSocioeconomic FactorsUrban Populationconcentration indexdecompositionneonatal mortalitywealth inequality

Identifiers

PMID42354325
PMCPMC13299800

What Socratic holds

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Registered trials

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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 Socratic graph.