Ethnic Disparities in COVID-19 Admissions and Outcomes in East London

A study from Queen Mary University of London assesses age and sex-adjusted health outcomes for COVID-19 patients across different ethnicities admitted to Barts Health NHS Trust. It tests the hypothesis that patients of Black, Asian, and other Minority Ethnicities had poorer outcomes, specifically regarding ITU admission and mortality, compared to White patients. The dataset was created by researcher Yi-Min Wan.

Use Cases

• Model the association between ethnicity and mortality outcome using patient demographic data.
• Analyze the relationship between patient ethnicity and the need for ITU admission.
• Assess age and sex-adjusted health outcomes across different ethnic groups for COVID-19 patients.

Strengths

• Focuses on a specific, high-impact research question regarding ethnic disparities in COVID-19 outcomes.
• Data is derived from a defined patient population at a major NHS trust, providing a real-world clinical context.

Limitations

• Specific row count, column details, and temporal coverage are unknown.
• Geographic scope is limited to a single hospital trust in East London, limiting generalizability.

Provenance

Source

Queen Mary University of London, researcher Yi-Min Wan.

Collection Method

Clinical study of confirmed COVID-19 patients admitted to Barts Health NHS Trust.

Time Range

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Freshness

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Geography

East London, specifically patients admitted to Barts Health NHS Trust.