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Observational Study
. 2021 Feb 17;11(2):e046556.
doi: 10.1136/bmjopen-2020-046556.

Risk of COVID-19 hospital admission and COVID-19 mortality during the first COVID-19 wave with a special emphasis on ethnic minorities: an observational study of a single, deprived, multiethnic UK health economy

Affiliations
Observational Study

Risk of COVID-19 hospital admission and COVID-19 mortality during the first COVID-19 wave with a special emphasis on ethnic minorities: an observational study of a single, deprived, multiethnic UK health economy

Baldev M Singh et al. BMJ Open. .

Abstract

Objectives: The objective of this study was to describe variations in COVID-19 outcomes in relation to local risks within a well-defined but diverse single-city area.

Design: Observational study of COVID-19 outcomes using quality-assured integrated data from a single UK hospital contextualised to its feeder population and associated factors (comorbidities, ethnicity, age, deprivation).

Setting/participants: Single-city hospital with a feeder population of 228 632 adults in Wolverhampton.

Main outcome measures: Hospital admissions (defined as COVID-19 admissions (CA) or non-COVID-19 admissions (NCA)) and mortality (defined as COVID-19 deaths or non-COVID-19 deaths).

Results: Of the 5558 patients admitted, 686 died (556 in hospital); 930 were CA, of which 270 were hospital COVID-19 deaths, 47 non-COVID-19 deaths and 36 deaths after discharge; of the 4628 NCA, there were 239 in-hospital deaths (2 COVID-19) and 94 deaths after discharge. Of the 223 074 adults not admitted, 407 died. Age, gender, multimorbidity and black ethnicity (OR 2.1 (95% CI 1.5 to 3.2), p<0.001, compared with white ethnicity, absolute excess risk of <1/1000) were associated with CA and mortality. The South Asian cohort had lower CA and NCA, lower mortality compared with the white group (CA, 0.5 (0.3 to 0.8), p<0.01; NCA, 0.4 (0.3 to 0.6), p<0.001) and community deaths (0.5 (0.3 to 0.7), p<0.001). Despite many common risk factors for CA and NCA, ethnic groups had different admission rates and within-group differing association of risk factors. Deprivation impacted only the white ethnicity, in the oldest age bracket and in a lesser (not most) deprived quintile.

Conclusions: Wolverhampton's results, reflecting high ethnic diversity and deprivation, are similar to other studies of black ethnicity, age and comorbidity risk in COVID-19 but strikingly different in South Asians and for deprivation. Sequentially considering population and then hospital-based NCA and CA outcomes, we present a complete single health economy picture. Risk factors may differ within ethnic groups; our data may be more representative of communities with high Black, Asian and minority ethnic populations, highlighting the need for locally focused public health strategies. We emphasise the need for a more comprehensible and nuanced conveyance of risk.

Keywords: COVID-19; epidemiology; public health.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Age and deprivation in relation to hospital admission and in whole population. The association of age (A) and deprivation (B) with hospital admission type. (C) Inter-relationship of age, deprivation and ethnicity in the whole population (n=228 632) (other/unknown ethnic groups not shown).
Figure 2
Figure 2
Mortality by ethnicity. Crude mortality by ethnic grouping as percentages (A, χ2=184·4, p<0·001), within the oldest quintile (B, χ2=92·2, p<0·001) or restricted to those with a COVID-19 admission excluding those with a non-COVID death (C, χ2=5.92, p=0.115, ns) (other/unknown ethnic categories are not shown but were included in the analysis).

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