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Pathways to ethnic inequalities in COVID-19 health outcomes in the United Kingdom: A systematic map

BACKGROUND: Marked ethnic inequalities in COVID-19 infection and its consequences have been documented. The aim of this paper is to identify the range and nature of evidence on potential pathways which lead to ethnic inequalities in COVID-19 related health outcomes in the United Kingdom (UK). METHOD...

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Autores principales: Irizar, Patricia, Kapadia, Dharmi, Amele, Sarah, Bécares, Laia, Divall, Pip, Katikireddi, Srinivasa Vittal, Kibuchi, Eliud, Kneale, Dylan, McCabe, Ronan, Nazroo, James, Nellums, Laura B., Taylor, Harry, Sze, Shirley, Pan, Daniel, Pareek, Manish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284430/
https://www.ncbi.nlm.nih.gov/pubmed/37364448
http://dx.doi.org/10.1016/j.socscimed.2023.116044
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author Irizar, Patricia
Kapadia, Dharmi
Amele, Sarah
Bécares, Laia
Divall, Pip
Katikireddi, Srinivasa Vittal
Kibuchi, Eliud
Kneale, Dylan
McCabe, Ronan
Nazroo, James
Nellums, Laura B.
Taylor, Harry
Sze, Shirley
Pan, Daniel
Pareek, Manish
author_facet Irizar, Patricia
Kapadia, Dharmi
Amele, Sarah
Bécares, Laia
Divall, Pip
Katikireddi, Srinivasa Vittal
Kibuchi, Eliud
Kneale, Dylan
McCabe, Ronan
Nazroo, James
Nellums, Laura B.
Taylor, Harry
Sze, Shirley
Pan, Daniel
Pareek, Manish
author_sort Irizar, Patricia
collection PubMed
description BACKGROUND: Marked ethnic inequalities in COVID-19 infection and its consequences have been documented. The aim of this paper is to identify the range and nature of evidence on potential pathways which lead to ethnic inequalities in COVID-19 related health outcomes in the United Kingdom (UK). METHODS: We searched six bibliographic and five grey literature databases from 1(st) December 2019 to 23(rd) February 2022 for research on pathways to ethnic inequalities in COVID-19 health outcomes in the UK. Meta-data were extracted and coded, using a framework informed by a logic model. Open Science Framework Registration: DOI 10.17605/OSF.IO/HZRB7. RESULTS: The search returned 10,728 records after excluding duplicates, with 123 included (83% peer-reviewed). Mortality was the most common outcome investigated (N = 79), followed by infection (N = 52). The majority of studies were quantitative (N = 93, 75%), with four qualitative studies (3%), seven academic narrative reviews (6%), nine third sector reports (7%) and five government reports (4%), and four systematic reviews or meta-analyses (3%). There were 78 studies which examined comorbidities as a pathway to mortality, infection, and severe disease. Socioeconomic inequalities (N = 67) were also commonly investigated, with considerable research into neighbourhood infrastructure (N = 38) and occupational risk (N = 28). Few studies examined barriers to healthcare (N = 6) and consequences of infection control measures (N = 10). Only 11% of eligible studies theorised racism to be a driver of inequalities and 10% (typically government/third sector reports and qualitative studies) explored this as a pathway. CONCLUSION: This systematic map identified knowledge clusters that may be amenable to subsequent systematic reviews, and critical gaps in the evidence-base requiring additional primary research. Most studies do not incorporate or conceptualise racism as the fundamental cause of ethnic inequalities and therefore the contribution to literature and policy is limited.
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spelling pubmed-102844302023-06-22 Pathways to ethnic inequalities in COVID-19 health outcomes in the United Kingdom: A systematic map Irizar, Patricia Kapadia, Dharmi Amele, Sarah Bécares, Laia Divall, Pip Katikireddi, Srinivasa Vittal Kibuchi, Eliud Kneale, Dylan McCabe, Ronan Nazroo, James Nellums, Laura B. Taylor, Harry Sze, Shirley Pan, Daniel Pareek, Manish Soc Sci Med Article BACKGROUND: Marked ethnic inequalities in COVID-19 infection and its consequences have been documented. The aim of this paper is to identify the range and nature of evidence on potential pathways which lead to ethnic inequalities in COVID-19 related health outcomes in the United Kingdom (UK). METHODS: We searched six bibliographic and five grey literature databases from 1(st) December 2019 to 23(rd) February 2022 for research on pathways to ethnic inequalities in COVID-19 health outcomes in the UK. Meta-data were extracted and coded, using a framework informed by a logic model. Open Science Framework Registration: DOI 10.17605/OSF.IO/HZRB7. RESULTS: The search returned 10,728 records after excluding duplicates, with 123 included (83% peer-reviewed). Mortality was the most common outcome investigated (N = 79), followed by infection (N = 52). The majority of studies were quantitative (N = 93, 75%), with four qualitative studies (3%), seven academic narrative reviews (6%), nine third sector reports (7%) and five government reports (4%), and four systematic reviews or meta-analyses (3%). There were 78 studies which examined comorbidities as a pathway to mortality, infection, and severe disease. Socioeconomic inequalities (N = 67) were also commonly investigated, with considerable research into neighbourhood infrastructure (N = 38) and occupational risk (N = 28). Few studies examined barriers to healthcare (N = 6) and consequences of infection control measures (N = 10). Only 11% of eligible studies theorised racism to be a driver of inequalities and 10% (typically government/third sector reports and qualitative studies) explored this as a pathway. CONCLUSION: This systematic map identified knowledge clusters that may be amenable to subsequent systematic reviews, and critical gaps in the evidence-base requiring additional primary research. Most studies do not incorporate or conceptualise racism as the fundamental cause of ethnic inequalities and therefore the contribution to literature and policy is limited. The Authors. Published by Elsevier Ltd. 2023-07 2023-06-21 /pmc/articles/PMC10284430/ /pubmed/37364448 http://dx.doi.org/10.1016/j.socscimed.2023.116044 Text en © 2023 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Irizar, Patricia
Kapadia, Dharmi
Amele, Sarah
Bécares, Laia
Divall, Pip
Katikireddi, Srinivasa Vittal
Kibuchi, Eliud
Kneale, Dylan
McCabe, Ronan
Nazroo, James
Nellums, Laura B.
Taylor, Harry
Sze, Shirley
Pan, Daniel
Pareek, Manish
Pathways to ethnic inequalities in COVID-19 health outcomes in the United Kingdom: A systematic map
title Pathways to ethnic inequalities in COVID-19 health outcomes in the United Kingdom: A systematic map
title_full Pathways to ethnic inequalities in COVID-19 health outcomes in the United Kingdom: A systematic map
title_fullStr Pathways to ethnic inequalities in COVID-19 health outcomes in the United Kingdom: A systematic map
title_full_unstemmed Pathways to ethnic inequalities in COVID-19 health outcomes in the United Kingdom: A systematic map
title_short Pathways to ethnic inequalities in COVID-19 health outcomes in the United Kingdom: A systematic map
title_sort pathways to ethnic inequalities in covid-19 health outcomes in the united kingdom: a systematic map
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284430/
https://www.ncbi.nlm.nih.gov/pubmed/37364448
http://dx.doi.org/10.1016/j.socscimed.2023.116044
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