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Ethnicity and acute hospital admissions: Multi-center analysis of routine hospital data

Background: The effects of ethnic and social inequalities on patient outcomes in acute healthcare remain poorly understood. Methods: Prospectively-defined analysis of registry data from four acute NHS hospitals in east London including all patients ≥ 18 years with a first emergency admission between...

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Autores principales: Wan, Yize I., Robbins, Alexander J., Apea, Vanessa J., Orkin, Chloe M., Pearse, Rupert M., Puthucheary, Zudin A., Prowle, John R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478677/
https://www.ncbi.nlm.nih.gov/pubmed/34611614
http://dx.doi.org/10.1016/j.eclinm.2021.101077
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author Wan, Yize I.
Robbins, Alexander J.
Apea, Vanessa J.
Orkin, Chloe M.
Pearse, Rupert M.
Puthucheary, Zudin A.
Prowle, John R.
author_facet Wan, Yize I.
Robbins, Alexander J.
Apea, Vanessa J.
Orkin, Chloe M.
Pearse, Rupert M.
Puthucheary, Zudin A.
Prowle, John R.
author_sort Wan, Yize I.
collection PubMed
description Background: The effects of ethnic and social inequalities on patient outcomes in acute healthcare remain poorly understood. Methods: Prospectively-defined analysis of registry data from four acute NHS hospitals in east London including all patients ≥ 18 years with a first emergency admission between 1st January 2013 and 31st December 2018. We calculated adjusted one-year mortality risk using logistic regression. Results are presented as n (%), median (IQR), and odds ratios (OR) with 95% confidence intervals. Findings: We included 203,182 patients. 43,101 (21%) patients described themselves as Asian, 21,388 (10.5%) Black, 2,982 (1.4%) Mixed, 13,946 (6.8%) Other ethnicity, and 100,065 (49%) White. We excluded 21,700 (10.7%) patients with undisclosed ethnicity. 16,054 (7.9%) patients died within one year. Non-white patients were younger (Asian: 43 [31–62] years; Black: 48 [33–63] years; Mixed 36 [26–52] years) than White patients (55 [35–75] years), with a higher incidence of comorbid disease. In each age-group, non-white patients were more likely to be admitted to hospital. This effect was greatest in the ≥ 80 years age-group (32% non-white admitted to hospital versus 23% non-white in community population). Deprivation was associated with increased mortality in all ethnic groups (OR 1.41 [1.33–1.50]; p < 0.001). However, when adjusted for age, Asian (0.69 [0.66–0.73], p < 0.0001) and Black patients (0.79 [0.74–0.85]; p < 0.0001) experienced a lower mortality risk than White patients. Interpretation: Ethnic and social disparities are associated with important differences in acute health outcomes. However, these differences are masked by statistical adjustment because patients from ethnic minorities present at a younger age. Funding: None
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spelling pubmed-84786772021-10-04 Ethnicity and acute hospital admissions: Multi-center analysis of routine hospital data Wan, Yize I. Robbins, Alexander J. Apea, Vanessa J. Orkin, Chloe M. Pearse, Rupert M. Puthucheary, Zudin A. Prowle, John R. EClinicalMedicine Research Paper Background: The effects of ethnic and social inequalities on patient outcomes in acute healthcare remain poorly understood. Methods: Prospectively-defined analysis of registry data from four acute NHS hospitals in east London including all patients ≥ 18 years with a first emergency admission between 1st January 2013 and 31st December 2018. We calculated adjusted one-year mortality risk using logistic regression. Results are presented as n (%), median (IQR), and odds ratios (OR) with 95% confidence intervals. Findings: We included 203,182 patients. 43,101 (21%) patients described themselves as Asian, 21,388 (10.5%) Black, 2,982 (1.4%) Mixed, 13,946 (6.8%) Other ethnicity, and 100,065 (49%) White. We excluded 21,700 (10.7%) patients with undisclosed ethnicity. 16,054 (7.9%) patients died within one year. Non-white patients were younger (Asian: 43 [31–62] years; Black: 48 [33–63] years; Mixed 36 [26–52] years) than White patients (55 [35–75] years), with a higher incidence of comorbid disease. In each age-group, non-white patients were more likely to be admitted to hospital. This effect was greatest in the ≥ 80 years age-group (32% non-white admitted to hospital versus 23% non-white in community population). Deprivation was associated with increased mortality in all ethnic groups (OR 1.41 [1.33–1.50]; p < 0.001). However, when adjusted for age, Asian (0.69 [0.66–0.73], p < 0.0001) and Black patients (0.79 [0.74–0.85]; p < 0.0001) experienced a lower mortality risk than White patients. Interpretation: Ethnic and social disparities are associated with important differences in acute health outcomes. However, these differences are masked by statistical adjustment because patients from ethnic minorities present at a younger age. Funding: None Elsevier 2021-08-19 /pmc/articles/PMC8478677/ /pubmed/34611614 http://dx.doi.org/10.1016/j.eclinm.2021.101077 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Wan, Yize I.
Robbins, Alexander J.
Apea, Vanessa J.
Orkin, Chloe M.
Pearse, Rupert M.
Puthucheary, Zudin A.
Prowle, John R.
Ethnicity and acute hospital admissions: Multi-center analysis of routine hospital data
title Ethnicity and acute hospital admissions: Multi-center analysis of routine hospital data
title_full Ethnicity and acute hospital admissions: Multi-center analysis of routine hospital data
title_fullStr Ethnicity and acute hospital admissions: Multi-center analysis of routine hospital data
title_full_unstemmed Ethnicity and acute hospital admissions: Multi-center analysis of routine hospital data
title_short Ethnicity and acute hospital admissions: Multi-center analysis of routine hospital data
title_sort ethnicity and acute hospital admissions: multi-center analysis of routine hospital data
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478677/
https://www.ncbi.nlm.nih.gov/pubmed/34611614
http://dx.doi.org/10.1016/j.eclinm.2021.101077
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