ArticlePloS one2021
Level of inequality and the role of governance indicators in the coverage of reproductive maternal and child healthcare services: Findings from India.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Inequality in Utilization of Maternal Healthcare Services in Low‑ and Middle‑Income Countries: A Scoping Review of the Literature.Maternal and child health journal · 2025Article
- Adult vaccination in India: A rapid review of current status & implementation challenges.The Indian journal of medical research · 2024Review
- Exploring the road to public healthcare accessibility: a qualitative study to understand healthcare utilization among hard-to-reach groups in Kerala, India.International journal for equity in health · 2024Article
- Wealth and education-related inequalities in the utilisation of reproductive, maternal, newborn, and child health interventions within scheduled tribes in India: an analysis of Odisha and Jharkhand.BMC public health · 2024Article
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Authors and funding
4 authors.
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Abstract
backgroundDiligent monitoring of inequalities in the coverage of essential reproductive, maternal, new-born and child health related (RMNCH) services becomes imperative to smoothen the journey towards Sustainable Development Goals (SDGs). In this study, we aim to measure the magnitude of inequalities in the coverage of RMNCH services. We also made an attempt to divulge the relationship between the various themes of governance and RMNCH indices.
methodsWe used National Family Health Survey dataset (2015-16) and Public Affairs Index (PAI), 2016 for the analysis. Two summative indices, namely Composite Coverage Index (CCI) and Co-Coverage (Co-Cov) indicator were constructed to measure the RMNCH coverage. Slope Index of Inequality (SII) and Relative Index of Inequality (RII) were employed to measure inequality in the distribution of coverage of RMNCH. In addition, we have used Spearman's rank correlation matrix to glean the association between governance indicator and coverage indices. RESULTS &
conclusionsOur study indicates an erratic distribution in the coverage of CCI and Co-Cov across wealth quintiles and state groups. We found that the distribution of RII values for Punjab, Tamil Nadu, and West Bengal hovered around 1. Whereas, RII values for Haryana was 2.01 indicating maximum inequality across wealth quintiles. Furthermore, the essential interventions like adequate antenatal care services (ANC4) and skilled birth attendants (SBA) were the most inequitable interventions, while tetanus toxoid and Bacilli Calmette- Guerin (BCG) were least inequitable. The Spearman's rank correlation matrix demonstrated a strong and positive correlation between governance indicators and coverage indices.
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