Version: 1.0.0 | Published: 10 Apr 2024 | Updated: 408 days ago
Documentation
Description:
Atrial fibrillation (AF) is a condition of the heart where the heart control rhythm changes from the normal sinus mode to a rapid activity. It is an irregular and often very rapid heart rhythm, known as a type of arrhythmia that can lead to thrombotic events and cardiac dysfunction. AF increases the risk of stroke, heart failure and other heart-related complications.
The cause is not fully understood, but it tends to affect certain groups of people, such as older people and people living with long-term (chronic) conditions such as heart disease, high blood pressure or obesity. Congenital heart disease, pericarditis, cardiomyopathy, physical and mental stress, also contribute to disease pathogenesis.
This highly granular dataset includes patient demographics, key lifestyle and underlying health status information, procedures (catheter ablation, electrical cardioversion), medications (beta-blockers, calcium channel blockers, anticoagulants), risk factors and co-morbidities.
PIONEER geography: The West Midlands (WM) has a population of 5.9 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 & an expanded 250 ITU bed capacity during COVID. 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: Thematic dataset of Atrial Fibrillation and Atrial Flutter. 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, co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care (timings, admissions, wards, attending practitioner change and triage), presenting complaint, assessments, bed moves, consultation, DNAR TEAL, electrocardiogram, events, follow ups, physiology readings (heart rate, BMI, blood pressure, respiratory rate, NEWS2 score, oxygen saturations and clinical frailty scale and others), Lab analysis results (urea, albumin, platelets, potassium, white blood cell count, Covid 19 test and others) microbiology results, procedures, outpatients admissions, surgeries, therapies, ventilation, drug administered and all outcomes. Linked images available (radiographs, CT scans, MRI).
Available supplementary data: Matched controls; ambulance, OMOP 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:
0-150
Follow Up:
1 - 10 YEARS
Physical Sample Availability:
NOT AVAILABLE
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:
- ACCIDENT AND EMERGENCY
- IN-PATIENTS
- OUTPATIENTS
Temporal
Accrual Periodicity:
QUARTERLY
Distribution Release Date:
06 January 2022
Start Date:
01 January 2018
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:
1-2 MONTHS
Jurisdictions:
GB-ENG
Data Controller:
University Hospitals Birmingham NHS Foundation Trust
Data Processor:
NOT APPLICABLE
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:
- ICD10
- OPCS4
- SNOMED CT
Conforms To:
LOCAL
Languages:
en
Formats:
SQL
Enrichment and Linkage
Derivations:
Not Available
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
48,820 spells diagnosed with atrial fibrillation
48820
Count
06 January 2022