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Patients’ and health system’s delays in the diagnosis and treatment of new pulmonary tuberculosis patients in West Gojjam Zone, Northwest Ethiopia: a cross-sectional study

BACKGROUND: Tuberculosis (TB) is a major public health concern in the developing world. Early diagnosis and prompt initiation of treatment is essential for effective TB control. The aim of this study was to determine the length and analyze associated factors of patients’ and health system’s delays i...

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Autores principales: Gebreegziabher, Senedu Bekele, Bjune, Gunnar Aksel, Yimer, Solomon Abebe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106835/
https://www.ncbi.nlm.nih.gov/pubmed/27836012
http://dx.doi.org/10.1186/s12879-016-1995-z
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author Gebreegziabher, Senedu Bekele
Bjune, Gunnar Aksel
Yimer, Solomon Abebe
author_facet Gebreegziabher, Senedu Bekele
Bjune, Gunnar Aksel
Yimer, Solomon Abebe
author_sort Gebreegziabher, Senedu Bekele
collection PubMed
description BACKGROUND: Tuberculosis (TB) is a major public health concern in the developing world. Early diagnosis and prompt initiation of treatment is essential for effective TB control. The aim of this study was to determine the length and analyze associated factors of patients’ and health system’s delays in the diagnosis and treatment of new pulmonary TB (PTB) patients. METHODS: A cross-sectional study was conducted in 30 randomly selected public health facilities in West Gojjam Zone, Amhara Region, Ethiopia. Newly diagnosed PTB patients who were ≥15 years of age were consecutively enrolled in the study. Patients’ delay (the time period from onset of TB symptoms to first presentation to a formal health provider) and health system’s delay (the time period from first presentation to a formal health provider to first start of TB treatment) were measured. Median patients’ and health system’s delays were calculated. Mixed effect logistic regression was used to analyze predictors of patients’ and health system’s delays. RESULTS: Seven hundred six patients were enrolled in the study. The median patients’ delay was 18 days (interquartile range [IQR]: 8–34 days) and the median health system’s delay was 22 days (IQR: 4–88 days). Poor knowledge of TB (adjusted odds ratio [AOR], 2.33; 95 % confidence interval [CI], 1.34–4.05), first visit to non-formal health provider (AOR, 47.56; 95 % CI, 26.31–85.99), self-treatment (AOR, 10.11; 95 % CI, 4.53–22.56) and patients’ age (≥45 years) (AOR, 2.99; 95 % CI, 1.14–7.81) were independent predictors of patients’ delay. Smear-negative TB (AOR, 1.88; 95 % CI, 1.32–2.68) and first visit to public health centers (AOR, 2.22; 95 % CI, 1.52–3.25) and health posts (AOR, 5.86; 95 % CI, 1.40–24.39) were found to be independent predictors of health system’s delay. CONCLUSIONS: The health system’s delay in this study was long and contributed more than 50 % of the total delay. Better TB diagnostic tools to complement sputum smear microscopy are needed to early diagnose PTB cases at peripheral health facilities. In addition, due emphasis should be given to increase public awareness about symptoms and consequences of TB disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-016-1995-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-51068352016-11-28 Patients’ and health system’s delays in the diagnosis and treatment of new pulmonary tuberculosis patients in West Gojjam Zone, Northwest Ethiopia: a cross-sectional study Gebreegziabher, Senedu Bekele Bjune, Gunnar Aksel Yimer, Solomon Abebe BMC Infect Dis Research Article BACKGROUND: Tuberculosis (TB) is a major public health concern in the developing world. Early diagnosis and prompt initiation of treatment is essential for effective TB control. The aim of this study was to determine the length and analyze associated factors of patients’ and health system’s delays in the diagnosis and treatment of new pulmonary TB (PTB) patients. METHODS: A cross-sectional study was conducted in 30 randomly selected public health facilities in West Gojjam Zone, Amhara Region, Ethiopia. Newly diagnosed PTB patients who were ≥15 years of age were consecutively enrolled in the study. Patients’ delay (the time period from onset of TB symptoms to first presentation to a formal health provider) and health system’s delay (the time period from first presentation to a formal health provider to first start of TB treatment) were measured. Median patients’ and health system’s delays were calculated. Mixed effect logistic regression was used to analyze predictors of patients’ and health system’s delays. RESULTS: Seven hundred six patients were enrolled in the study. The median patients’ delay was 18 days (interquartile range [IQR]: 8–34 days) and the median health system’s delay was 22 days (IQR: 4–88 days). Poor knowledge of TB (adjusted odds ratio [AOR], 2.33; 95 % confidence interval [CI], 1.34–4.05), first visit to non-formal health provider (AOR, 47.56; 95 % CI, 26.31–85.99), self-treatment (AOR, 10.11; 95 % CI, 4.53–22.56) and patients’ age (≥45 years) (AOR, 2.99; 95 % CI, 1.14–7.81) were independent predictors of patients’ delay. Smear-negative TB (AOR, 1.88; 95 % CI, 1.32–2.68) and first visit to public health centers (AOR, 2.22; 95 % CI, 1.52–3.25) and health posts (AOR, 5.86; 95 % CI, 1.40–24.39) were found to be independent predictors of health system’s delay. CONCLUSIONS: The health system’s delay in this study was long and contributed more than 50 % of the total delay. Better TB diagnostic tools to complement sputum smear microscopy are needed to early diagnose PTB cases at peripheral health facilities. In addition, due emphasis should be given to increase public awareness about symptoms and consequences of TB disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-016-1995-z) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-11 /pmc/articles/PMC5106835/ /pubmed/27836012 http://dx.doi.org/10.1186/s12879-016-1995-z Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Gebreegziabher, Senedu Bekele
Bjune, Gunnar Aksel
Yimer, Solomon Abebe
Patients’ and health system’s delays in the diagnosis and treatment of new pulmonary tuberculosis patients in West Gojjam Zone, Northwest Ethiopia: a cross-sectional study
title Patients’ and health system’s delays in the diagnosis and treatment of new pulmonary tuberculosis patients in West Gojjam Zone, Northwest Ethiopia: a cross-sectional study
title_full Patients’ and health system’s delays in the diagnosis and treatment of new pulmonary tuberculosis patients in West Gojjam Zone, Northwest Ethiopia: a cross-sectional study
title_fullStr Patients’ and health system’s delays in the diagnosis and treatment of new pulmonary tuberculosis patients in West Gojjam Zone, Northwest Ethiopia: a cross-sectional study
title_full_unstemmed Patients’ and health system’s delays in the diagnosis and treatment of new pulmonary tuberculosis patients in West Gojjam Zone, Northwest Ethiopia: a cross-sectional study
title_short Patients’ and health system’s delays in the diagnosis and treatment of new pulmonary tuberculosis patients in West Gojjam Zone, Northwest Ethiopia: a cross-sectional study
title_sort patients’ and health system’s delays in the diagnosis and treatment of new pulmonary tuberculosis patients in west gojjam zone, northwest ethiopia: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106835/
https://www.ncbi.nlm.nih.gov/pubmed/27836012
http://dx.doi.org/10.1186/s12879-016-1995-z
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