The Madhya Pradesh Innovation Hub was instituted in 2019 pursuant to the Memorandum of Understanding between the National Health Mission, Government of Madhya Pradesh (NHM-MP) and India Health Action Trust and the Antara Foundation. The hub supports NHM-MP to identify health challenges and design interventions to improve population health outcomes of the state in the areas of Reproductive, Maternal, Newborn, Child and Adolescent Health, Tuberculosis, HIV/AIDS and Health Systems Strengthening.
decline in Maternal Mortality Ratio from 188 (2015-17)1to 173 (2018-20)2
Over
pregnant women die every month from avoidable causes3
decline in Neonatal Mortality Rate from 41 (2011)4to 31 (2020)5
Over
neonates die every month from avoidable causes6
decline in Under 5 Mortality Rate from 77 (2011)7
to 51 (2020)8
Over
children under the age of five die every month from avoidable causes9
The Innovation Hub’s activities are based on the program science framework which uses an adaptive response to enable public health programs to continuously and systematically examine its program processes, outputs and outcomes, explore areas that require further understanding, implement and evaluate new interventions and then use the knowledge gained to further re-design and develop programs and conduct further embedded research.
The hub works closely with the Government of Madhya Pradesh to identify public health priorities in the state and provides research support in answering questions emerging from the field in relation to identified priorities. It supports the government in testing novel ideas and interventions while also supporting in translating global and national best practices into action plans for the state. The hub plays the role of a facilitator for implementing public health interventions at scale in the state.
The hub has been supporting the government in Health Systems Strengthening with focus on Human Resource for Health where it helped conceptualise the transfer module for its Human Resource Management System (HRMS) and helped streamline human resource classification. It also supported the government in analysing the HRMS data to identify facilities without medical officers to prioritise for recruitment and posting.
Project MANCH, launched in 2021 in Shahdol district through a collaboration between NHM-MP, HCLFoundation and IHAT, is a pivotal initiative to improve health outcomes among tribal populations. The project focuses on enhancing antenatal and postnatal care coverage, identifying and tracking high-risk pregnancies and newborns, addressing home delivery challenges, and building the capacity of frontline health workers, including ASHAs, Anganwadi Workers, ANMs, and Nursing Officers.
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The Innovation Hub Strategy for Madhya Pradesh brief describes the IHAT-IGPH strategy for Madhya Pradesh. The overarching purpose of IHAT’s work is to catalyse the state’s response to reduce inequity in access to and utilization of critical interventions that impact population-level health outcomes, with a primary focus on health systems strengthening, reproductive, maternal newborn and child health (RMNCH) and Tuberculosis.
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Project MANCH supports the Government of Madhya Pradesh in achieving the maternal, newborn and child health (MNCH) outcomes of the state by identifying and addressing gaps in adequate coverage of the MNCH services in the tribal areas of the state. This assessment brief outlines the findings from a cross-sectional study conducted to identify challenges in the quality of MNCH services across the continuum of care at both community and facility level.
Read More1 Sample Registration System – Special Bulletin on Maternal Mortality in India 2015-17
2 Sample Registration System – Special Bulletin on Maternal Mortality in India 2018-20
3 Calculated using estimated live births and maternal mortality ratio from Sample Registration System 2020
4 Sample Registration System Statistical Report 2011
5 Sample Registration System Statistical Report 2020
6 Calculated using estimated live births and NMR from Sample Registration System 2020
7 Sample Registration System – Statistical Report 2011
8 Sample Registration System – Statistical Report 2020
9 Calculated using estimated live births and U5MR from Sample Registration System 2020