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Hospitalised Community Acquired Pneumonia before & during the COVID-19 pandemic

Population Size

3,669

People

Years

2019 - 2021

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

Lead time

Not applicable

Summary

Patients hospitalised with community acquired pneumonia (CAP) before and during COVID-19 pandemic. Granular care pathways. Multi-morbidity, investigations, interventions and treatments. Serial physiology, blood biomarkers, outcome data. Deeply phenotyped.

Documentation

Community acquired pneumonia (CAP) is a leading cause of hospital admission, and in older adults has high rates of mortality and complications. CAP is associated with increased long-term mortality and loss of independence for older adults. CAP typically affects older adults with co-morbidities- a group who have largely shielded throughout the winter period. This seems to have reduced rates of transmissible disease in vulnerable people. Complications such as sepsis, and empyema (infected fluid around the lung) prolong hospital admission, result in additional interventions in hospital and have higher mortality than CAP alone. The causative agents for CAP are often poorly identified in real world clinical practice. These data allow the investigation of the different ways in which COVID-19 has impacted on existing health conditions, how often causative agents were identified in real-world practice and the sensitivities of the bacteria, which antibiotics were used and patient outcomes.

PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix (42% non-white within Birmingham).

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 before and during the COVID-19 pandemic, curated to focus on Community Acquired Pneumonia. 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, readmissions and discharge outcomes, physiology readings (heart rate, blood pressure, NEWS2 score, SEWS score, AVPU score), blood results and flags for microbiology and surgical data. Comparing the burden of hospitalised community acquired pneumonia (CAP) before and during COVID-19 pandemic.

Available supplementary data: Matched controls ambulance, 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.

Dataset type
Health and disease, Treatments/Interventions
Dataset sub-type
Respiratory
Dataset population size
3,669

Keywords

Community Acquired Pneumonia, COVID-19, Older adults, Social distancing, epidemiology, CAP, Mortality, Neutrophil function, hospital admissions

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

3,669 CAP spells in this dataset from 2019-09-01 to 2020-01-31 and 2020-09-01 to 2021-01-31

3669

Count

13 May 2021

Provenance

Purpose of dataset collection
Care
Source of data extraction
EPR
Collection source setting
Secondary care - Accident and Emergency, Secondary care - Outpatients, 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

08/10/2024

Distribution release date

13/05/2021

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

31/08/2019

End date

31/01/2021

Time lag
Other
Geographic coverage
United Kingdom, England, West Midlands
Minimum age range
18
Maximum age range
110
Follow-up
1 - 10 Years

Accessibility

Language
en
Alignment with standardised data models
LOCAL
Controlled vocabulary
SNOMED CT, ICD10
Format
SQL

Data Access Request

Dataset pipeline status
Available
Time to dataset access
Not applicable
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

Dataset Types: Health and disease, Treatments/Interventions

Dataset Sub-types: Respiratory


Collection Sources: No collection sources listed