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The impact of ethnic minority status on tuberculosis diagnosis and treatment delays in Hunan Province, China

BACKGROUND: Tuberculosis (TB) continues to be a major public health challenge in China. Understanding TB management delays within the context of China’s unique ethnic diversity may be of value in tackling the disease. This study sought to evaluate the impact of ethnic minority status on TB diagnosis...

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Autores principales: Gilmour, Beth, Xu, Zuhui, Bai, Liqiong, Alene, Kefyalew Addis, Clements, Archie C. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790941/
https://www.ncbi.nlm.nih.gov/pubmed/35081919
http://dx.doi.org/10.1186/s12879-022-07072-4
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author Gilmour, Beth
Xu, Zuhui
Bai, Liqiong
Alene, Kefyalew Addis
Clements, Archie C. A.
author_facet Gilmour, Beth
Xu, Zuhui
Bai, Liqiong
Alene, Kefyalew Addis
Clements, Archie C. A.
author_sort Gilmour, Beth
collection PubMed
description BACKGROUND: Tuberculosis (TB) continues to be a major public health challenge in China. Understanding TB management delays within the context of China’s unique ethnic diversity may be of value in tackling the disease. This study sought to evaluate the impact of ethnic minority status on TB diagnosis and treatment delays. METHODS: This retrospective cohort study was conducted on patients diagnosed with TB in Hunan Province, China between 2013 and 2018. Diagnosis delay was defined as the time interval between the onset of symptoms and the date of diagnosis. Treatment delay was defined as the time interval between diagnosis and treatment commencement. Univariable and multivariable logistic regression models were used to identify factors associated with TB diagnosis and treatment delay, including ethnic minority status. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) were calculated to assess the strength of association between the dependant and independent variables. RESULTS: A total of 318,792 TB patients were included in the study with a mean age of 51.7 years (SD 17.7). The majority of patients were male (72.6%) and Han ethnicity (90.6%). The odds of experiencing diagnosis delay (> 21 days) were significantly higher for Tujia (AOR: 1.46, 95% CI: 1.41, 1.51), Miao (AOR: 1.31, 95% CI: 1.26, 1.37), Dong (AOR: 1.97, 95% CI: 1.85, 2.11), Yao (AOR: 1.27, 95% CI: 1.17, 1.37), and Bai (AOR: 1.45, 95% CI: 1.22, 1.74) ethnic minorities compared to the Han majority. The odds of experiencing treatment delay (> 15 days) were significantly lower for five of the seven ethnic minority groups relative to the Han majority: Tujia (AOR 0.92, 95% CI 0.88, 0.96), Miao (AOR 0.74, 95% CI 0.70, 0.79), Dong (AOR 0.87, 95% CI 0.81, 0.95), Yao (AOR 0.20, 95% CI 0.17, 0.24) and ‘other’ (ethnic minorities that individually represented < 0.1% of the patient population) (AOR 0.70, 955 CI 0.51, 0.97). CONCLUSIONS: This study shows ethnic minority status to be a significant risk factor in diagnosis delay, but for it to reduce the odds of treatment delay. Further research is required to determine the underlying causes of diagnosis delay within ethnic minority populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07072-4.
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spelling pubmed-87909412022-01-26 The impact of ethnic minority status on tuberculosis diagnosis and treatment delays in Hunan Province, China Gilmour, Beth Xu, Zuhui Bai, Liqiong Alene, Kefyalew Addis Clements, Archie C. A. BMC Infect Dis Research BACKGROUND: Tuberculosis (TB) continues to be a major public health challenge in China. Understanding TB management delays within the context of China’s unique ethnic diversity may be of value in tackling the disease. This study sought to evaluate the impact of ethnic minority status on TB diagnosis and treatment delays. METHODS: This retrospective cohort study was conducted on patients diagnosed with TB in Hunan Province, China between 2013 and 2018. Diagnosis delay was defined as the time interval between the onset of symptoms and the date of diagnosis. Treatment delay was defined as the time interval between diagnosis and treatment commencement. Univariable and multivariable logistic regression models were used to identify factors associated with TB diagnosis and treatment delay, including ethnic minority status. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) were calculated to assess the strength of association between the dependant and independent variables. RESULTS: A total of 318,792 TB patients were included in the study with a mean age of 51.7 years (SD 17.7). The majority of patients were male (72.6%) and Han ethnicity (90.6%). The odds of experiencing diagnosis delay (> 21 days) were significantly higher for Tujia (AOR: 1.46, 95% CI: 1.41, 1.51), Miao (AOR: 1.31, 95% CI: 1.26, 1.37), Dong (AOR: 1.97, 95% CI: 1.85, 2.11), Yao (AOR: 1.27, 95% CI: 1.17, 1.37), and Bai (AOR: 1.45, 95% CI: 1.22, 1.74) ethnic minorities compared to the Han majority. The odds of experiencing treatment delay (> 15 days) were significantly lower for five of the seven ethnic minority groups relative to the Han majority: Tujia (AOR 0.92, 95% CI 0.88, 0.96), Miao (AOR 0.74, 95% CI 0.70, 0.79), Dong (AOR 0.87, 95% CI 0.81, 0.95), Yao (AOR 0.20, 95% CI 0.17, 0.24) and ‘other’ (ethnic minorities that individually represented < 0.1% of the patient population) (AOR 0.70, 955 CI 0.51, 0.97). CONCLUSIONS: This study shows ethnic minority status to be a significant risk factor in diagnosis delay, but for it to reduce the odds of treatment delay. Further research is required to determine the underlying causes of diagnosis delay within ethnic minority populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07072-4. BioMed Central 2022-01-26 /pmc/articles/PMC8790941/ /pubmed/35081919 http://dx.doi.org/10.1186/s12879-022-07072-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Gilmour, Beth
Xu, Zuhui
Bai, Liqiong
Alene, Kefyalew Addis
Clements, Archie C. A.
The impact of ethnic minority status on tuberculosis diagnosis and treatment delays in Hunan Province, China
title The impact of ethnic minority status on tuberculosis diagnosis and treatment delays in Hunan Province, China
title_full The impact of ethnic minority status on tuberculosis diagnosis and treatment delays in Hunan Province, China
title_fullStr The impact of ethnic minority status on tuberculosis diagnosis and treatment delays in Hunan Province, China
title_full_unstemmed The impact of ethnic minority status on tuberculosis diagnosis and treatment delays in Hunan Province, China
title_short The impact of ethnic minority status on tuberculosis diagnosis and treatment delays in Hunan Province, China
title_sort impact of ethnic minority status on tuberculosis diagnosis and treatment delays in hunan province, china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790941/
https://www.ncbi.nlm.nih.gov/pubmed/35081919
http://dx.doi.org/10.1186/s12879-022-07072-4
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