MuM-PreDiCT is a research collaboration across the UK that will conduct data-driven research to characterise and understand the determinants and consequences of pre-existing multimorbidity (MM) in pregnant women, and to predict and prevent MM and its adverse consequences in women and their offspring. The multidisciplinary approach undertaken, using existing quantitative data and new stakeholder data, aims to detail the burden of pre-existing MM in pregnant women, understand how morbidities accumulate and cluster from the pre-pregnancy stage through the maternity journey to their long-term healthcare, and then investigate what determinants should be targeted to influence MM through early interventions; explore women's experiences, and current health service provision to inform recommendations for practice; investigate the impact of pre-existing MM and multiple prescriptions on pregnancy, postpartum and long-term outcomes for mothers and their offspring; and investigate the extent to which pregnancy complications predict future MM in risk prediction models.

A significant outcome of this collaboration will be the creation of a comprehensive dataset on pregnancy and postpartum outcomes for mothers and their children, directly contributing to the core vision and objectives of the MIREDA Partnership. Specifically, the database will include pregnancy and birth records of English mothers aged 15-50 and their offspring, derived from electronic health records that link primary and secondary care data from the Clinical Practice Research Datalink (CPRD, GOLD, and Aurum) and linked to Hospital Episode Statistics (HES). This will be achieved through a federated analysis model in collaboration with the Centre for Health Data Science at the Institute of Applied Health Research, University of Birmingham.