The impact of ethnicity and multi-morbidity on C19 hospitalised outcomes
Introduction
Data Coverage
Further Details
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Evidence suggests that older patients, those from some ethnic minority groups and those with multiple long-term health conditions have worse COVID-19 outcomes than other individuals. This secondary care COVID dataset contains granular demographic, ethnicity and morbidity data, supplemented from primary care records, to add to the understanding of patient factors on disease outcomes.
PIONEER geography
The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix. There is a higher than average percentage of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS. The West Midlands was one of the hardest hit regions for COVID admissions in both wave 1 and 2.
EHR
University Hospitals Birmingham NHS Foundation Trust (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 & 100 ITU beds. 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”. UHB has cared for >5000 COVID admissions to date.
Scope
>2500 COVID swab confirmed hospitalised patients to UHB from Wave 1 January – May 2020. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes but also primary care records and clinic letters. Serial, structured data pertaining to care process (timings, staff grades, specialty review, wards), presenting complaint, acuity, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, microbiology, all prescribed & administered treatments, all outcomes.
Available supplementary data
Health data preceding and following admission event. Matched non-COVID controls; ambulance, 111, 999 data, synthetic data. Linked images (radiographs, CT, MRI, ultrasound).
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.
