MADHYA PRADESH, ODISHA, RAJASTHAN, AND UTTAR PRADESH: HIGHER MORTALITY EXEMPLAR STATES IN NEONATAL AND MATERNAL MORTALITY REDUCTION
In India, four Exemplar states with higher baseline mortality levels have achieved rapid rates of neonatal and maternal mortality reduction since 2000.
Acknowledgements:
Ministry of Health and Family Welfare, India MNH Exemplars Steering Committee, India MNH Exemplars Technical Working Group, Countdown to 2030, and Other Contributors
Contents
Introduction to the Exemplars study in India
India is a diverse country, with a population that grew from 1.06 billion in 2000 to 1.42 billion by 2022.1 Considering India’s size and diversity, in this analysis, states were grouped into clusters based on their neonatal and maternal mortality levels and per capita incomes. As shown below in Figure 1, these states are accordingly referred to as members of either the higher mortality state cluster or the lower mortality state cluster. While India has made remarkable progress in reducing neonatal and maternal mortality in recent decades, the strategies underlying this progress vary across state clusters. Differences in socioeconomic status and health system capacity by state cluster meant that each cluster faced unique challenges, with maternal and newborn health programming varying by cluster to meet these challenges. As such, Exemplar states within each of the state clusters were identified to highlight lessons from states that had made the most progress from their respective baseline mortality levels.2,3
This narrative tells the story of how four Exemplar states within India’s higher mortality state cluster achieved progress. Additional context can be found in the national-level narrative, with the story of two Exemplar states within the lower mortality cluster highlighted separately as well. Throughout this report, key indicators, interventions, policies, and programs that contributed to neonatal mortality rate (NMR) and maternal mortality ratio (MMR) declines will be featured, highlighting opportunities to learn from Madhya Pradesh, Odisha, Rajasthan, and Uttar Pradesh’s success.
Figure 1: Higher and lower mortality state clusters
Fertility decline directly influenced mortality risks and indirectly impacted the broader health system
Improved female education, nutrition, socioeconomic status, and access to family planning contributed to decreases in fertility rates.

Delivery care in facilities became more accessible, shifting births from homes to health facilities
In the mid-2000s, India shifted towards a focus on promoting institutional delivery. Accredited social health activists and expanded health infrastructure helped to make delivery care more accessible to communities.

Pro-poor policies helped the higher mortality states narrow equity gaps in coverage of key MNH services
India instituted conditional cash transfer programs like Janani Suraksha Yojana (JSY) and Janani Shishu Suraksha Karyakaram (JSSK) to incentivize care-seeking. These initiatives particularly helped reduce financial barriers for the most vulnerable groups, among whom coverage increased more rapidly than other groups.

Contextualizing the current and future progress of the higher mortality state cluster in an Integrated Mortality Transition Framework
Between 2000 and 2018, the higher mortality state cluster progressed from phase I to early-phase III of the integrated mortality transition framework
Exemplars in Global Health program
The Exemplars in Global Health program aims to learn from countries that have made rapid progress in improving health outcomes and disseminate this evidence to inform health policy and funding decisions. Our aim is to research success stories from low- and middle-income countries and share findings that can be useful for leaders looking to act in comparable contexts.
In selecting Exemplar countries, we reviewed evidence to identify countries that outperformed their peers in vital areas of public health, controlling for factors such as economic growth. In this way, we aim to provide more actionable, policy-relevant insight for stakeholders about how health progress can be made despite resource limitations.
Guided by research partners and technical advisers, we conduct quantitative and qualitative analyses to validate our initial assessments and assess factors that contribute to a country’s exemplary performance. Research in and across Exemplar countries could help ministries, nongovernmental organizations, and multinational bodies address key public health issues in low- and middle-income countries.
By studying proven strategies to prevent disease, malnutrition, and other conditions that burden populations of low- and middle-income countries, we aim to create a list of data-driven narratives that can serve as resources for leaders looking to improving health within their own countries. The following narrative focuses on factors that contributed to Madhya Pradesh, Odisha, Rajasthan, and Uttar Pradesh’s exemplary reductions in neonatal and maternal mortality.
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1
World Bank. Population, total - India 2021 (1960-2023) [data set]. https://data.worldbank.org/indicator/SP.POP.TOTL?locations=IN
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2
Ram U, Ramesh BM, Blanchard AK, et al. A tale of two exemplars: the maternal and newborn mortality transitions of two state clusters in India. BMJ Glob Health 2024;9(suppl 2):e011413. https://doi.org/10.1136/bmjgh-2022-011413
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3
Bhushan H, Ram U, Scott K, et al. Making the health system work for over 25 million births annually: drivers of the notable decline in maternal and newborn mortality in India. BMJ Glob Health 2024;9(suppl 2):e011411. https://doi.org/10.1136/bmjgh-2022-011411