Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 229 days ago
Documentation
Description:
Each year, there are audits to assess maternal & foetal outcomes across the UK. In 2016-18, 217 women died during or up to six weeks after pregnancy, from causes associated with their pregnancy, among 2,235,159 women giving birth in the UK. 9.7 women per 100k died during pregnancy or up to six weeks after childbirth or the end of pregnancy. There was an increase in the overall maternal death rate in the UK between 2013-15 & 2016-18. Assessors judged that 29% of women who died had good care. However, improvements in care which may have made a difference to the outcome were identified for 51% of women who died. Birmingham has a higher than average maternal & foetal death rate. This dataset includes detailed information about the reasons pregnant women seek acute care, & their care pathways & outcomes.
PIONEER geography: The West Midlands (WM) has a population of 5.9m & includes a diverse ethnic, socio-economic mix. There is a higher than average % of minority ethnic groups. WM has the youngest population in the UK with a higher than average birth rate. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. 51.2% of babies born in Birmingham have at least one parent born outside of the UK, this compares with 34.7% for England. Each day >100k people are treated in hospital, see their GP or are cared for by the NHS.
EHR: University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & 100 ITU beds. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.
Scope: Pregnant or post-partum women from 2015 onwards who attended A&E in Queen Elizabeth hospital. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes highly granular patient demographics (including gestation & postpartum period), co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care (admissions, wards, practitioner changes & discharge outcomes), presenting complaints, physiology readings (temperature, blood pressure, NEWS2, SEWS, AVPU), referrals, all prescribed & administered treatments & all outcomes.
Available supplementary data: More extensive data including granular serial physiology, bloods, conditions, interventions, treatments. Ambulance, 111, 999 data, synthetic data.
Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.
Coverage
Spatial:
United Kingdom,England,West Midlands
Typical Age Range:
10-55
Follow Up:
Other
Pathway:
The West Midlands (WM) has a population of 5.9 million & includes a diverse
ethnic, socio-economic mix. There is a higher than average percentage of
minority ethnic groups with Birmingham having a population which is >40%
non-white. Birmingham is one of the youngest cities in Europe and has a birth
rate that is higher than average (The General Fertility Rate was 69.7 births per
thousand population and the Total Fertility Rate was 2.04 children per woman in
2016, both higher than the average for the UK). Unfortunately Birmingham also
has a higher than average infant mortality rate and a higher than average
incidence of maternal complications. There is social deprivation and
Birmingham’s population suffers with particularly high rates of physical
inactivity, obesity, smoking & diabetes. There are also high levels of rare
diseases, especially immunometabolic conditions. The patients included in this
dataset are representative of this diverse population and also include a wide
age-range. University Hospitals Birmingham NHS Foundation Trust (UHB) is one of
the largest NHS Trusts in England, providing direct acute services & specialist
care across four hospital sites, with 2.2 million patient episodes per year,
2750 beds & 100 ITU beds. UHB runs a fully electronic healthcare record (EHR)
(PICS; Birmingham Systems), a shared primary & secondary care record (Your Care
Connected) & a patient portal “My Health”. This dataset includes the patient
journey from admission to hospital to outcome for pregnant and post-partum
patients admitted to a general hospital. The data includes granular demography
and co-morbidity, presenting symptoms and diagnoses, serial physiology and blood
biomarkers, all investigations, all prescribed and administered treatments and
outcomes. It can be supplemented with preceding and following health care
contacts, to understand the risk for the acute admission during pregnancy and
the subsequent impact on health after discharge. Although primarily secondary
care, this dataset can be supplemented with ambulance and primary care data on
request. PIONEER can also offer synthetic data, images and access to a secure
Trusted Research Environment for analytics and AI. PIONEER can assist with
analytics, model build, validation & refinement; A.I.; Data partner support for
ETL (extract, transform & load) process, Clinical expertise, Patient & end-user
access, Purchaser access, Regulatory requirements, Data-driven trials, “fast
screen” services.
Provenance
Origin
Purposes:
Care
Sources:
EPR
Collection Situations:
- Secondary care - Accident and Emergency
- Secondary care - In-patients
Temporal
Accrual Periodicity:
Quarterly
Distribution Release Date:
17 February 2020
Start Date:
01 January 2015
End Date:
31 December 2020
Time Lag:
Less than 1 week
Accessibility
Access
Access Service:
Trusted Research Environments (TRE) are built using Microsoft Azure services and
hosted in the UK to provide research teams a safe, secure and agile environment
which allows users to quickly analyse, interpret and form an enriched view of
primary care information through a range of integrated datasets. Health data
collated from multiple sources is ingested into a secure data lake which will
then allow subsets of data to be made available to research teams on approval of
a data request. Once approved a customer specific TRE is made available with a
standard set of leading analytical tools from Microsoft including Azure
Databricks, Azure Machine Learning, Azure SQL and Azure Synapse (for large-scale
data warehouses). Specific tools can be provided at an additional cost over the
standard platform data access charge and the PIONEER team will work with you to
determine your exact needs. Access to the TRE is managed using the latest
virtual desktop technology to provide a safe and secure end-user experience. By
utilising leading edge design PIONEER are able to create TREs rapidly to enable
us to service any customer requirement.
Access Request Cost:
www.pioneerdatahub.co.uk/data/data-services-costs/
Delivery Lead Time:
Not applicable
Data Controller:
University Hospitals Birmingham NHS Foundation Trust
Usage
Data Use Limitations:
General research use
Data Use Requirements:
Project-specific restrictions
Resource Creators:
This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
Format and Standards
Vocabulary Encoding Schemes:
- OPCS4
- SNOMED CT
- ICD10
Conforms To:
LOCAL
Languages:
en
Formats:
SQL
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
1035 maternity spells in this dataset from 01.01.2015 to 31.12.2020
1035
Count
17 February 2020