Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 229 days ago
Documentation
Description:
Background: A urinary tract infection (UTI) is a common infection that affects the bladder (cystitis), urethra (urethritis) or kidneys (pyelonephritis). They are more prevalent in women, and the incidence in women over 65 years old is double the rate compared with the overall female population. Catheterisation is known to affect the likelihood of infection. The National Institute for Clinical Excellence suggests that UTIs in the elderly are often over-diagnosed and over-treated. This has led to NHS England requiring a reduction in the number of Trimethoprim prescriptions prescribed to patients over 70 years old.
PIONEER geography: The West Midlands (WM) has a population of 5.9 million and includes a diverse ethnic and socio-economic mix.
EHR: UHB is one of the largest NHS Trusts in England, providing direct acute services and specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds and an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary and secondary care record (Your Care Connected) and a patient portal “My Health”.
Scope: All hospitalised patients from 2000 onwards, curated to focus on Urinary tract infection. Longitudinal and individually linked, so that the preceding and subsequent health journey can be mapped and healthcare utilisation prior to and after admission understood. The dataset includes highly granular patient demographics and co-morbidities taken from ICD-10 and SNOMED-CT codes. Serial, structured data pertaining to acute care process (timings, staff grades, specialty review, wards and triage). Along with presenting complaints, outpatients admissions, microbiology results, referrals, procedures, therapies, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations and others), all blood results (urea, albumin, platelets, white blood cells and others). This dataset includes all prescribed and administered treatments including antibiotics, bacterial resistance patterns from microbiology assessments and outcomes. Linked images are also available (radiographs, CT scans, MRI).
Available supplementary data: Matched controls; ambulance, OMOP data, synthetic data.
Available supplementary support: Analytics, Model build, validation and refinement; A.I.; Data partner support for ETL (extract, transform and load) process, Clinical expertise, Patient and end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.
Coverage
Spatial:
United Kingdom,England,West Midlands
Typical Age Range:
0-112
Follow Up:
Other
Pathway:
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.
Provenance
Origin
Purposes:
Care
Sources:
EPR
Collection Situations:
- Secondary care - Accident and Emergency
- Secondary care - Outpatients
- Secondary care - In-patients
Temporal
Accrual Periodicity:
Quarterly
Distribution Release Date:
20 January 2022
Start Date:
12 January 2000
End Date:
01 January 2022
Time Lag:
Other
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
Jurisdictions:
GB-ENG
Data Controller:
University Hospitals Birmingham NHS Foundation Trust
Usage
Data Use Limitations:
Research use only
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:
- SNOMED CT
- OPCS4
- ICD10
Conforms To:
LOCAL
Languages:
en
Formats:
SQL
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
91,568 spells with patients with diabetes between 12-01-2000 and 01-01-2022
91568
Count
02 January 2022