Collaboratives: MRCH

MRCH Core Areas of Work

Maternal, Reproductive, and Child Health (MRCH) Collaborative and Cores leverage advances in data science and emerging technologies to co-create innovative tools, tests, and interventions to improve detection, prevention, and care, and to test and translate these innovations. Grounded in nursing science and its emphasis on person- and family-centered care, systems improvement, and translation into practice, our ultimate goal is to transform discoveries into interventions, policies, and practices that improve quality, safety, and equity in care for birthing people, infants, children, adolescents, and families.

Maternal and Reproductive Health Equity & Justice

Reducing maternal mortality and morbidity
Dismantling racism and bias in care
Advancing midwifery models and integrations
Shaping policy grounded in reproductive justice frameworks

Maternal, Neonatal, and Child Health & Wellbeing

Investigating social and biological contributors to maternal, neonatal, and child health
Improving early detection of outcomes such as preterm birth and severe maternal morbidity
Promoting the health and well-being of all women, mothers, and parents

Perinatal and Family Mental Health

Expanding access to evidence-based interventions for depression, anxiety, and trauma
Supporting families in understanding and addressing mental health challenges and reducing stigma
Integrating trauma-informed approaches in education and clinical care

Adolescent Health Promotion and Sexual/Reproductive Health

Developing culturally tailored, developmentally appropriate interventions
Preventing HIV/STIs and unintended pregnancy
Promoting healthy relationships and sexual decision-making

Community Engagement, Policy, and Workforce Development

Partnering with communities, policymakers, and professional organizations to co-create equitable solutions
Advancing quality and safety toolkits in maternity and neonatal care
Mentoring and supporting a diverse health workforce to sustain change

Data Science and Innovation

Leveraging data science, machine learning, and digital tools to advance discovery and prediction
Developing and validating new technologies, biomarkers, and tests for early detection and intervention
Harnessing innovation to improve access, equity, and outcomes across maternal, child, adolescent, and family health