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The impact of COVID on hospitalised patients with COPD and hospital services

Dataset
Version: 1.0.0
Chronic Obstructive Pulmonary Disease (COPD) patients admitted or using hospital services. Granular care pathways. Multi-morbidity, investigations, interventions, treatments. Serial physiology, blood biomarkers, physiotherapy, outcome. Deeply phenotyped.

Summary

Citation:
The impact of COVID on hospitalised patients with COPD and hospital services

Documentation

Description:
Chronic obstructive pulmonary disease (COPD) is a debilitating lung condition characterised by progressive lung function limitation. COPD is an umbrella term and encompasses a spectrum of pathophysiologies including chronic bronchitis, small airways disease and emphysema. COPD caused an estimated 3 million deaths worldwide I each year, and is estimated to be the third leading cause of death worldwide. The British Lung Foundation (BLF) estimates that the disease costs the NHS around £1.9 billion per year. COPD is therefore a significant public health challenge. This dataset explores the impact of hospitalisation and service use in patients with COPD during the COVID pandemic. PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix. EHR. 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: All hospitalised patients admitted to UHB during the COVID-19 pandemic and elective service users, curated to focus on COPD. 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 acute care process (timings, staff grades, specialty review, wards), presenting complaint, acuity, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, imaging reports, all prescribed & administered treatments (fluids, blood products, procedures), all outcomes. 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.
Is Part Of:
NOT APPLICABLE

Coverage

Spatial:
United Kingdom, England, West Midlands
Typical Age Range:
15-110
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:
2021-05-18
Start Date:
2019-03-01
End Date:
2020-12-15
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)
Is Referenced By:
NOT APPLICABLE

Format and Standards

Vocabulary Encoding Schemes:
  • ICD10
  • OPCS4
  • SNOMED CT
Conforms To:
LOCAL
Languages:
en
Formats:
SQL

Enrichment and Linkage

Derivations:
NOT APPLICABLE

Observations

Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
12,691 COPD (both with a positive and negative swab for SARS-CoV-2 infection) and Non COPD patients (with a positive swab for SARS-CoV-2 infection) between 2019-03-01 to 2020-12-15
12691
Count
2021-05-18