Insights on Prevention of Anaemia Among Pregnant Women

This brief identifies the opportunity gaps in the effective coverage cascade for prevention of anaemia among pregnant women in India. The effective coverage cascade is used to identify coverage gaps, quantify coverage at each step, determine where the largest gaps exist within the cascade and prioritize where actions are most urgent. The findings are based on NFHS 5 data.

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Collaboration with Industries to End Tuberculosis

Tuberculosis (TB) is a preventable and treatable communicable disease. Yet, this is a leading cause of death. This brief highlights on how TB State Technical Support Unit (TB STSU) of IHAT intends to provide support the Government of Uttar Pradesh in TB prevention, detection and treatment outcomes.

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Maternal, Infant and Young Child Nutrition

Maternal, Infant and Young Child Nutrition or MIYCN refers to nutrition of the mother and child during the 1000 days window of opportunity, that extends from conception until the second birthday of the child. This brief gives an easy lucid understanding on importance of MIYCN and the key interventions that can improve maternal and child health.

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PAHAL Issue 14

The 14th issue of PAHAL offers insights on UP TSU’s work in the second quarter of 2022. This issue provides an update on the initiatives taken by UP TSU for enhancing the availability of Iron Folic Acid supplementation for pregnant women, accelerating PPH Emergency Care by Bundle Approach, the activation of district hospital level validation committee meetings and other key interventions.

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Optimizing the Health Management Information System in Uttar Pradesh, India: Implementation Insights and Key Learnings

An effective health management information system (HMIS) that captures accurate, consistent, and relevant data in a timely fashion can enable better planning & monitoring of health programs, in turn increasing the impact of different interventions. This paper offers insights into the steps taken to identify, develop, and incorporate relevant data by designing Uttar Pradesh’s HMIS, and developing & implementing supportive processes to improve the quality and use of those data in decision making.

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