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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2023
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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. |
format | Online Article Text |
id | pubmed-10284430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
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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