Literature DB >> 26615176

Predictors of vaccination in India for children aged 12-36 months.

Nijika Shrivastwa1, Brenda W Gillespie2, Giselle E Kolenic2, James M Lepkowski3, Matthew L Boulton4.   

Abstract

INTRODUCTION: India has one of the lowest immunization rates worldwide despite a longstanding Universal Immunization Program (UIP) that provides free childhood vaccines. This study characterizes the predictors for under- and non-vaccination among Indian children aged 12-36 months.
METHODS: This study utilized District Level Household and Facility Survey Data, 2008 (DLHS3), from India. DLHS3 is a nationally representative sample collected from December 2007 through December 2008; this analysis was conducted during 2014. Children's vaccination status was categorized as fully, under-, and non-vaccinated based on whether children received all, some, or none of the UIP-recommended vaccines (one dose each of bacillus Calmette-Guérin and measles, and three doses of diphtheria-pertussis-tetanus). A multinomial logistic regression model estimated the odds of undervaccination compared with full vaccination, and odds of non-vaccination compared with full vaccination. Analytic predictors included socioeconomic, cultural, household, maternal, and childhood characteristics.
RESULTS: The analysis included 108,057 children; the estimated proportions of fully, under-, and non-vaccinated children were 57%, 31%, and 12%, respectively. After adjusting for state of residence, age, gender, household wealth, and maternal education, additional significant predictors of children's vaccination status were religion, caste, place of delivery, number of antenatal care visits, and maternal tetanus vaccination, all of which demonstrated large effect sizes.
CONCLUSIONS: India's immunization coverage remained low in 2008, with just slightly more than half of all children aged 12-36 months fully vaccinated with UIP-recommended vaccines. A better understanding of the predictors for vaccination can help shape interventions to reduce disparities in full vaccination among children of differing demographic/cultural groups.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2015        PMID: 26615176     DOI: 10.1016/j.vaccine.2015.09.034

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  2 in total

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Authors:  Gordana Pelčić; Silvana Karačić; Galina L Mikirtichan; Olga I/ Kubar; Frank J Leavitt; Michael Cheng-Tek Tai; Naoki Morishita; Suzana Vuletić; Luka Tomašević
Journal:  Croat Med J       Date:  2016-10-31       Impact factor: 1.351

2.  Structural equation modeling to detect correlates of childhood vaccination: A moderated mediation analysis.

Authors:  Abraham Degarege; Karl Krupp; Vijaya Srinivas; Boubakari Ibrahimou; Purnima Madhivanan
Journal:  PLoS One       Date:  2020-10-15       Impact factor: 3.240

  2 in total

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