Scholarlink

Objectives <p>To determine the change in inequalities in full immunization coverage among children aged 12-23 mo in aspirational districts (ADs) and non-aspirational districts (NADs) in India from 2015-16 to 2019-2021 and decompose its causes.</p> Methods <p>The authors used the National Family Health Survey (NFHS-4 and NFHS-5) data for the analysis. The two-sample proportions test and linear probability model were used. Further, the corrected concentration index (CCI) was used to measure inequality, and Wagstaff’s decomposition analysis was used to decompose the inequality.</p> Results <p>Full immunization coverage among Indian children increased from 60.91% (NFHS-4) to 75.97% (NFHS-5) in NADs, and from 57.93% to 74.73% in ADs. The study shows an important finding of convergence of immunization estimates among ADs and NADS during NFHS-5. Inequality in child immunization, measured by CCI, decreased from NFHS-4 to NFHS-5 but remained higher in ADs. Mother’s education, healthcare utilization variables, residence, and region are the key contributors to immunization inequality.</p> Conclusions <p>The findings suggest that the focus should be on improving mothers’ education, providing health cards, and antenatal care visits, and reducing the distance to health facilities. Improving the provision of healthcare utilization variables can help mitigate inequalities in full immunization coverage, especially in ADs, thereby reducing inequalities between ADs and NADs.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Decomposition of Wealth-Related Inequality in Child Immunization Among Aspirational and Non-Aspirational Districts in India

  • 期刊论文

  • 发表日期：

    2025年12月10日

查看全文
  • Pooja Goel,
  • Cyril Philip,
  • Phanindra Goyari

摘要

Objectives

To determine the change in inequalities in full immunization coverage among children aged 12-23 mo in aspirational districts (ADs) and non-aspirational districts (NADs) in India from 2015-16 to 2019-2021 and decompose its causes.

Methods

The authors used the National Family Health Survey (NFHS-4 and NFHS-5) data for the analysis. The two-sample proportions test and linear probability model were used. Further, the corrected concentration index (CCI) was used to measure inequality, and Wagstaff’s decomposition analysis was used to decompose the inequality.

Results

Full immunization coverage among Indian children increased from 60.91% (NFHS-4) to 75.97% (NFHS-5) in NADs, and from 57.93% to 74.73% in ADs. The study shows an important finding of convergence of immunization estimates among ADs and NADS during NFHS-5. Inequality in child immunization, measured by CCI, decreased from NFHS-4 to NFHS-5 but remained higher in ADs. Mother’s education, healthcare utilization variables, residence, and region are the key contributors to immunization inequality.

Conclusions

The findings suggest that the focus should be on improving mothers’ education, providing health cards, and antenatal care visits, and reducing the distance to health facilities. Improving the provision of healthcare utilization variables can help mitigate inequalities in full immunization coverage, especially in ADs, thereby reducing inequalities between ADs and NADs.