Evidence map›Paper›PMID 37112763›Full record

ArticleVaccines2023

What Determines the District-Level Disparities in Immunization Coverage in India: Findings from Five Rounds of the National Family Health Survey.

Nandita Saikia, Krishna Kumar, Jayanta Kumar Bora, Souvik Mondal, Santosh Phad, Sumeet Agarwal

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

6 authors at 3 institutions in 1 country.

Nandita SaikiaPublic Health and Mortality Studies, International Institute for Population Sciences, Mumbai 400088, India.ORCID 0000-0001-6735-6157
Krishna KumarCentre for the Studies of Regional Development, Jawaharlal Nehru University, New Delhi 110067, India.ORCID 0000-0002-6822-900X
Jayanta Kumar BoraVART Consulting Ltd. (P), Delhi NCR 201002, India.
Souvik MondalCentre for the Studies of Regional Development, Jawaharlal Nehru University, New Delhi 110067, India.
Santosh PhadPublic Health and Mortality Studies, International Institute for Population Sciences, Mumbai 400088, India.
Sumeet AgarwalDepartment of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India.
Jawaharlal Nehru University · INIndian Institute of Technology Delhi · INInternational Institute for Population Sciences · IN

Funding

Biotechnology Industry Research Assistance Council NA
6 · The paper itself

Abstract

India's Universal Immunization Programme has been performing at a sub-optimal level over the past decade, with there being a wide disparity in terms of immunization coverage between states. This study investigates the covariates that affect immunization rates and inequality in India at the individual and district levels. We used data from the five rounds of the National Family Health Survey (NFHS), conducted from 1992-1993 to 2019-2021. We used multilevel binary logistic regression analysis to examine the association between demographic, socio-economic and healthcare factors and a child's full immunization status. Further, we used the Fairlie decomposition technique to understand the relative contribution of explanatory variables to a child's full immunization status between districts with different immunization coverage levels. We found that 76% of children received full immunization in 2019-2021. Children from less wealthy families, urban backgrounds, Muslims, and those with illiterate mothers were found to have lower chances of receiving full immunization. There is no evidence that gender and caste disparities have an impact on immunization coverage in India. We found that having a child's health card is the most significant contributor to reducing the disparities that exist regarding children's full immunization between mid- and low-performing districts. Our study suggests that healthcare-related variables are more crucial than demographic and socio-economic variables when determining ways in which to improve immunization coverage in Indian districts.

Indexed as

district levelFairlie decompositionimmunization coverageIndiainequalitiessocio-economic and healthcare utilization

Identifiers

PMID37112763
PMCPMC10144648
OpenAlexW4366089165

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.