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NIHR Birmingham BRC Dataset: Predicting the need for broad spectrum antibiotics

Population Size

647,934

People

Years

2019 - 2024

Associated BioSamples

None/not available

Geographic coverage

https://www.geonames.org/2634343/west-midlands.html

Lead time

1-2 weeks

Summary

NIHR Birmingham BRC-associated highly granular dataset of 647,934 patients with suspected infections including demographics, comorbidities, presenting symptoms, serial physiology and acuity and all investigations, treatments and outcomes.

Documentation

Sepsis presents a significant medical challenge with high morbidity and mortality rates, necessitating prompt and effective management. Sepsis is not always easy to diagnose, especially in its early stages. To improve outcomes from sepsis, those with suspected, severe infections receive antibiotics, with guidelines highlighting that these should be given as early as possible. However, this must be balanced with appropriate antibiotic stewardship. Broad spectrum antibiotic use is associated with severe side effects and adverse outcomes, especially in older people, and antibiotic resistance increases with increasing antibiotic use.

The NIHR Birmingham Biomedical Research Centre Infections and acute care theme has curated a highly granular dataset of 1,589,709 hospital spells, containing 647,934 unique patients with suspected infections, with PIONEER. The data includes demographics, co-morbidities, presenting symptoms, serial physiology and acuity, all investigations and treatments and all outcomes including admission to intensive care, death and readmission. All medications are included with dose and route.

Geography: The West Midlands (WM) has a population of 6 million & includes a diverse ethnic & socio-economic mix. 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 & > 120 ITU bed capacity. 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”.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

Dataset type
Health and disease, Measurements/Tests, Lifestyle
Dataset sub-type
Not applicable
Dataset population size
647934

Keywords

Antibiotic Prescribing, Antimicrobial Resistance, Clinical Decision Support, Machine Learning, Predictive Modeling, Patient Risk Stratification, Sepsis, Infection, Healthcare-Associated Infection, Antimicrobial Stewardship

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

patients admitted as emergency between 01-jan-2019- 01-jan-2024

647934

Count

19 Sep 2024

Provenance

Purpose of dataset collection
Care
Source of data extraction
EPR
Collection source setting
Secondary care - Accident and Emergency, Secondary care - In-patients
Patient pathway description
Data is representative of the multi-ethnicity population within the West Midlands (42% non white). Data includes all patients admitted during this timeframe, with National data Opt Outs applied, and therefore is representative of admissions to secondary care. Data focuses on in-patient stay in hospital during the acute episode but can be supplemented on request to include previous and subsequent hospital contacts (including outpatient appointments) and ambulance, 111, 999 data.
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Quarterly
Version
1.0.0
Modified

31/10/2024

Distribution release date

31/10/2024

Citation Requirements
This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)

Coverage

Start date

01/01/2019

End date

01/01/2024

Time lag
Less than 1 week
Minimum age range
10
Maximum age range
100
Follow-up
0 - 6 Months

Accessibility

Language
en
Alignment with standardised data models
LOCAL
Controlled vocabulary
ICD10, SNOMED CT, OPCS4
Format
application, sql

Data Access Request

Dataset pipeline status
Available
Time to dataset access
1-2 weeks
Access request cost
www.pioneerdatahub.co.uk/data/data-services-costs/
Access method category
TRE/SDE
Access service description

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.

Jurisdiction
GB-ENG
Data use limitation
General research use
Data use requirements
Project-specific restrictions
Data Controller
University Hospitals Birmingham NHS Foundation Trust
Data Processor
NOT APPLICABLE

Dataset Types: Health and disease, Measurements/Tests, Lifestyle


Collection Sources: Secondary care - Accident and Emergency, Secondary care - In-patients