Version: 1.0.0 | Published: 3 Feb 2026 | Updated: 78 days ago
Documentation
Description:
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.
Coverage
Spatial:
United Kingdom, England
Typical Age Range:
15-50
Follow Up:
Continuous
Pathway:
Pregnancies, mothers and their children are identified using the CPRD Pregnancy
Register and Mother-Baby Link, and the HES Maternity tail. Pregnancy, birth and
postpartum exposures and outcomes will be derived using the electronic health
records from primary and secondary care.
Provenance
Origin
Purposes:
Care
Sources:
EPR
Collection Situations:
- Primary care - Clinic
- Secondary care - In-patients
Temporal
Accrual Periodicity:
Biannual
Start Date:
01 January 2000
Time Lag:
2-6 months
Accessibility
Access
Access Rights:
Access Service:
Data access is currently controlled by the MIREDA partnership and can only be
accessed by the partnership's analysts who can work with
researchers to compile analysis scripts and provide federated analysis outputs
to approved projects and researchers.
Delivery Lead Time:
1-2 months
Jurisdictions:
UK
Data Controller:
MIREDA
Data Processor:
MIREDA
Usage
Data Use Limitations:
- Research use only
- No linkage
Data Use Requirements:
- Collaboration required
- Project-specific restrictions
- Publication required
- Disclosure control
- Ethics approval required
Resource Creators:
The MIREDA Partnership, CPRD, University of Birmingham
Format and Standards
Vocabulary Encoding Schemes:
- OPCS4
- READ
- ICD10
- SNOMED CT
- DM+D
Conforms To:
OMOP
Languages:
en
Formats:
csv
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
There are a total of 1,897,274 mothers from CPRD Gold and 9,045,619 mothers from CPRD Aurum
10942893
Count
31 December 2023