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

Author:

Saikia Nandita12ORCID,Kumar Krishna2ORCID,Bora Jayanta Kumar3,Mondal Souvik2,Phad Santosh1,Agarwal Sumeet4

Affiliation:

1. Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai 400088, India

2. Centre for the Studies of Regional Development, Jawaharlal Nehru University, New Delhi 110067, India

3. VART Consulting Ltd. (P), Delhi NCR 201002, India

4. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India

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.

Funder

Biotechnology Industry Research Assistance Council

Publisher

MDPI AG

Subject

Pharmacology (medical),Infectious Diseases,Drug Discovery,Pharmacology,Immunology

Reference39 articles.

1. Srivastava, S., Fledderjohann, J., and Upadhyay, A.K. (2020). Explaining socioeconomic inequalities in immunisation coverage in India: New insights from the fourth National Family Health Survey (2015–16). BMC Pediatr., 20.

2. United Nations Development Program (2023, January 10). Sustainable Development Goals. Available online: https://sdgs.un.org/goals.

3. Applying an equity lens to child health and mortality: More of the same is not enough;Victora;Lancet,2003

4. World Health Organization (2002). The World Health Report 2002: Reducing Risks, Promoting Healthy Life, World Health Organization.

5. Timing of children′s vaccinations in 45 low-income and middle-income countries: An analysis of survey data;Clark;Lancet,2009

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