Sepsis is the second leading cause of maternal death in the U.S. For racial and ethnic minoritized birthing people, especially those who are Black, living in poverty, and from underserved communities, labor and postpartum are particularly vulnerable risk periods. The goal of this multi-center, multidisciplinary observational study is to optimize risk prediction accounting for the social determinants of health, and establish a novel maternal care continuity model to reduce sepsis- related death and disability and increase maternal health equity.

Maternal sepsis is the second leading cause of maternal death, major cause of morbidity, and preventable in most cases. EnCoRe MoMS: Engaging Communities to Reduce Morbidity from Maternal Sepsis will (Aim 2) Develop algorithms to optimize prediction of sepsis around delivery and postpartum.

In the UG3 phase, robust community engagement and research infrastructures were established to: Aim 2a. Create a rich electronic health records (EHR) database from the Perinatal Research Consortium (PRC). Aim 2b. Collate neighborhood-level datasets characterizing social determinants of health (SDOH)

In the UH3 phase, the investigators will Aim 2c. Harmonize patient-level EHR and neighborhood-level SDOH datasets and use machine learning models to analyze the individual and joint contributions of patient and neighborhood factors to optimize sepsis risk prediction within the PRC sample.

Inclusion Criteria:

• Be 18 years or older
• Delivery admission (and) postpartum readmission at one of the Perinatal Research Consortium sites 2014-2021

Exclusion Criteria:

• Under 18 years old
• Delivery admission (and) postpartum readmission at hospital that is not in the Perinatal Research Consortium
• Delivery admission before 2014 or after 2021

Delivery admission records at PRC sites