Set in India’s most populous state, Uttar Pradesh, this case explores how the Technical Support Unit (TSU), a nongovernmental entity, works to increase the state’s capacity to improve maternal and child health outcomes. It is part of a set of cases looking at maternal and child health in Uttar Pradesh. The other two cases in the set are Maternal and Child Health in Uttar Pradesh, India: A Mother’s Story and Working as an ASHA to Improve Maternal and Child Health in Uttar Pradesh, India.TSU focus areas. Source: Technical Support Unit, Uttar Pradesh, 2016.
Learning objectives: A productive class discussion will allow students to appreciate the data that are needed and how to use them to inform service delivery; the importance of understanding how to drive demand when designing interventions; and strategies for working with the public sector to manage and sustain programs.
Keywords: Decision making, maternal and child health, behavioral economics, resource-limited settings, consumers, data collection, providers
Set in India’s most populous state, Uttar Pradesh, this case explores the complexity of addressing maternal and child health and care delivery by looking at health-related behaviors and decision making from the perspective of a mother. The case is intended to be used in conjunction with two other cases: Working as an ASHA to Improve Maternal and Child Health in Uttar Pradesh, India and Improving Maternal and Child Health Outcomes in Uttar Pradesh, India.Khairabad Community Health Center (CHC).Delivery room at Khairabad CHC. Source: Case writers.
Learning objectives: A productive class discussion will allow students to appreciate the decisions facing frontline providers and the communities they serve, and the numerous factors that influence their choices; how households prioritize health among other needs; and the complexity of aligning health programs with beneficiary needs, cultural context, household dynamics, and other factors to impact health behaviors and outcomes.
Keywords: Consumer behavior, behavioral economics, resource-limited settings, health care policy, data collection, decision making