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University College London Hospitals Pregnancy Intention and Outcomes Dataset

Population Size

65,996

People

Population Size statistic card

Years

2020 - 2026

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

Geographic coverage statistic card

Lead time

Data only
Lead time statistic card

Summary

OMOP CDM extract from UCLH containing patient-level data from 2020-10-01 to 2026-05-27 for research purposes. Exploring determinants of pregnancy intention and relationships between pregnancy intention and outcome using routine data.

Documentation

Despite everyone’s best efforts, unplanned pregnancies will always occur. Evidence suggests that they are linked with poor outcomes, such as low birthweight, being born too early (preterm birth) and depression after birth. However, there are some problems with the data, and there is none from England.

To find women with unplanned pregnancies we have introduced some questions into antenatal care at University College London Hospital, Homerton University Hospital and Guy's and St Thomas' Hospital. To know how best to support women with an unplanned pregnancy we need to know how unplanned pregnancies are linked to poor outcomes. We will use the data from these questions, as well as other information about the woman, to explore if and how unplanned pregnancies are associated with things like the baby being born too early or being low birthweight. We will use these findings to design services to meet the needs of these women. The aim of these services will be to prevent poor outcomes such as low birthweight.

Dataset type

Health and disease

Dataset population size

65996

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

65996

Count

26 May 2026

Provenance

Purpose of dataset collection

Research cohort

Source of data extraction

EPR

Biological sample availability

None/not available

Details

Publishing frequency

Continuous

Version

1.0.0

Modified

22/06/2026

Coverage

Start date

01/10/2020

End date

27/05/2026

Time lag

Not applicable

Geographic coverage

United Kingdom

Maximum age range

1

Accessibility

Language

en

Alignment with standardised data models

OMOP

Controlled vocabulary

SNOMED CT, LOINC, OPCS4, RXNORM, RXNORM EXTENSION, ICD10

Format

application/parquet

Data Access Request

Access rights

In Progress

Access method category

TRE/SDE

Demographics

Dataset Types: Health and disease


Collection Sources: