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Association between ethnicity and migration status with the prevalence of single and multiple long-term conditions in UK healthcare workers

BACKGROUND: Healthcare workers’ (HCW) well-being has a direct effect on patient care. However, little is known about the prevalence and patterns of long-term medical conditions in HCWs, especially those from ethnic minorities. This study evaluated the burden of multiple long-term conditions (MLTCs),...

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Autores principales: Ekezie, Winifred, Martin, Christopher A., Baggaley, Rebecca F., Teece, Lucy, Nazareth, Joshua, Pan, Daniel, Sze, Shirley, Bryant, Luke, Woolf, Katherine, Gray, Laura J., Khunti, Kamlesh, Pareek, Manish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688453/
https://www.ncbi.nlm.nih.gov/pubmed/38031115
http://dx.doi.org/10.1186/s12916-023-03109-w
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author Ekezie, Winifred
Martin, Christopher A.
Baggaley, Rebecca F.
Teece, Lucy
Nazareth, Joshua
Pan, Daniel
Sze, Shirley
Bryant, Luke
Woolf, Katherine
Gray, Laura J.
Khunti, Kamlesh
Pareek, Manish
author_facet Ekezie, Winifred
Martin, Christopher A.
Baggaley, Rebecca F.
Teece, Lucy
Nazareth, Joshua
Pan, Daniel
Sze, Shirley
Bryant, Luke
Woolf, Katherine
Gray, Laura J.
Khunti, Kamlesh
Pareek, Manish
author_sort Ekezie, Winifred
collection PubMed
description BACKGROUND: Healthcare workers’ (HCW) well-being has a direct effect on patient care. However, little is known about the prevalence and patterns of long-term medical conditions in HCWs, especially those from ethnic minorities. This study evaluated the burden of multiple long-term conditions (MLTCs), i.e. the presence of two or more single long-term conditions (LTCs), among HCWs in the United Kingdom (UK) and variation by ethnicity and migration status. METHODS: We used baseline data from the UK-REACH cohort study collected December 2020–March 2021. We used multivariable logistic regression, adjusting for demographic, occupational and lifestyle factors to examine the relationship between self-reported LTCs/MLTCs and ethnicity, migration status and time since migration to the UK. RESULTS: Of 12,100 included HCWs, with a median age of 45 years (IQR: 34–54), 27% were overseas-born, and 30% were from non-White ethnic groups (19% Asian, 4% Black, 4% Mixed, 2% Other). The most common self-reported LTCs were anxiety (14.9%), asthma (12.2%), depression (10.7%), hypertension (8.7%) and diabetes (4.0%). Mental health conditions were more prevalent among UK-born than overseas-born HCWs for all ethnic groups (adjusted odds ratio (aOR) using White UK-born as the reference group each time: White overseas-born 0.77, 95%CI 0.66–0.95 for anxiety). Diabetes and hypertension were more common among Asian (e.g. Asian overseas, diabetes aOR 2.97, 95%CI 2.30–3.83) and Black (e.g. Black UK-born, hypertension aOR 1.77, 95%CI 1.05–2.99) groups than White UK-born. After adjustment for age, sex and deprivation, the odds of reporting MLTCs were lower in most ethnic minority groups and lowest for those born overseas, compared to White UK-born (e.g. White overseas-born, aOR 0.68, 95%CI 0.55–0.83; Asian overseas-born aOR 0.75, 95%CI 0.62–0.90; Black overseas-born aOR 0.52, 95%CI 0.36–0.74). The odds of MLTCs in overseas-born HCWs were equivalent to the UK-born population in those who had settled in the UK for ≥ 20 years (aOR 1.14, 95%CI 0.94–1.37). CONCLUSIONS: Among UK HCWs, the prevalence of common LTCs and odds of reporting MLTCs varied by ethnicity and migrant status. The lower odds of MLTCs in migrant HCWs reverted to the odds of MLTCs in UK-born HCWs over time. Further research on this population should include longitudinal studies with linkage to healthcare records. Interventions should be co-developed with HCWs from different ethnic and migrant groups focussed upon patterns of conditions prevalent in specific HCW subgroups to reduce the overall burden of LTCs/MLTCs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-03109-w.
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spelling pubmed-106884532023-11-30 Association between ethnicity and migration status with the prevalence of single and multiple long-term conditions in UK healthcare workers Ekezie, Winifred Martin, Christopher A. Baggaley, Rebecca F. Teece, Lucy Nazareth, Joshua Pan, Daniel Sze, Shirley Bryant, Luke Woolf, Katherine Gray, Laura J. Khunti, Kamlesh Pareek, Manish BMC Med Research Article BACKGROUND: Healthcare workers’ (HCW) well-being has a direct effect on patient care. However, little is known about the prevalence and patterns of long-term medical conditions in HCWs, especially those from ethnic minorities. This study evaluated the burden of multiple long-term conditions (MLTCs), i.e. the presence of two or more single long-term conditions (LTCs), among HCWs in the United Kingdom (UK) and variation by ethnicity and migration status. METHODS: We used baseline data from the UK-REACH cohort study collected December 2020–March 2021. We used multivariable logistic regression, adjusting for demographic, occupational and lifestyle factors to examine the relationship between self-reported LTCs/MLTCs and ethnicity, migration status and time since migration to the UK. RESULTS: Of 12,100 included HCWs, with a median age of 45 years (IQR: 34–54), 27% were overseas-born, and 30% were from non-White ethnic groups (19% Asian, 4% Black, 4% Mixed, 2% Other). The most common self-reported LTCs were anxiety (14.9%), asthma (12.2%), depression (10.7%), hypertension (8.7%) and diabetes (4.0%). Mental health conditions were more prevalent among UK-born than overseas-born HCWs for all ethnic groups (adjusted odds ratio (aOR) using White UK-born as the reference group each time: White overseas-born 0.77, 95%CI 0.66–0.95 for anxiety). Diabetes and hypertension were more common among Asian (e.g. Asian overseas, diabetes aOR 2.97, 95%CI 2.30–3.83) and Black (e.g. Black UK-born, hypertension aOR 1.77, 95%CI 1.05–2.99) groups than White UK-born. After adjustment for age, sex and deprivation, the odds of reporting MLTCs were lower in most ethnic minority groups and lowest for those born overseas, compared to White UK-born (e.g. White overseas-born, aOR 0.68, 95%CI 0.55–0.83; Asian overseas-born aOR 0.75, 95%CI 0.62–0.90; Black overseas-born aOR 0.52, 95%CI 0.36–0.74). The odds of MLTCs in overseas-born HCWs were equivalent to the UK-born population in those who had settled in the UK for ≥ 20 years (aOR 1.14, 95%CI 0.94–1.37). CONCLUSIONS: Among UK HCWs, the prevalence of common LTCs and odds of reporting MLTCs varied by ethnicity and migrant status. The lower odds of MLTCs in migrant HCWs reverted to the odds of MLTCs in UK-born HCWs over time. Further research on this population should include longitudinal studies with linkage to healthcare records. Interventions should be co-developed with HCWs from different ethnic and migrant groups focussed upon patterns of conditions prevalent in specific HCW subgroups to reduce the overall burden of LTCs/MLTCs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-03109-w. BioMed Central 2023-11-30 /pmc/articles/PMC10688453/ /pubmed/38031115 http://dx.doi.org/10.1186/s12916-023-03109-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Ekezie, Winifred
Martin, Christopher A.
Baggaley, Rebecca F.
Teece, Lucy
Nazareth, Joshua
Pan, Daniel
Sze, Shirley
Bryant, Luke
Woolf, Katherine
Gray, Laura J.
Khunti, Kamlesh
Pareek, Manish
Association between ethnicity and migration status with the prevalence of single and multiple long-term conditions in UK healthcare workers
title Association between ethnicity and migration status with the prevalence of single and multiple long-term conditions in UK healthcare workers
title_full Association between ethnicity and migration status with the prevalence of single and multiple long-term conditions in UK healthcare workers
title_fullStr Association between ethnicity and migration status with the prevalence of single and multiple long-term conditions in UK healthcare workers
title_full_unstemmed Association between ethnicity and migration status with the prevalence of single and multiple long-term conditions in UK healthcare workers
title_short Association between ethnicity and migration status with the prevalence of single and multiple long-term conditions in UK healthcare workers
title_sort association between ethnicity and migration status with the prevalence of single and multiple long-term conditions in uk healthcare workers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688453/
https://www.ncbi.nlm.nih.gov/pubmed/38031115
http://dx.doi.org/10.1186/s12916-023-03109-w
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