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Perceived Discrimination among Tuberculosis Patients in an Urban Area of Kolkata City, India

CONTEXT AND AIMS: Tuberculosis (TB) in India is a leading public health problem plagued by social determinants such as stigma and discrimination, which may affect treatment seeking, adherence, and possibly treatment outcome. This study was conducted to elicit the perceived discrimination, its determ...

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Autores principales: Banerjee, Sitikantha, Bandyopadhyay, Kajari, Taraphdar, Pranita, Dasgupta, Aparajita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733423/
https://www.ncbi.nlm.nih.gov/pubmed/33343166
http://dx.doi.org/10.4103/jgid.jgid_146_19
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author Banerjee, Sitikantha
Bandyopadhyay, Kajari
Taraphdar, Pranita
Dasgupta, Aparajita
author_facet Banerjee, Sitikantha
Bandyopadhyay, Kajari
Taraphdar, Pranita
Dasgupta, Aparajita
author_sort Banerjee, Sitikantha
collection PubMed
description CONTEXT AND AIMS: Tuberculosis (TB) in India is a leading public health problem plagued by social determinants such as stigma and discrimination, which may affect treatment seeking, adherence, and possibly treatment outcome. This study was conducted to elicit the perceived discrimination, its determinants, as well as to determine whether perceived discrimination is predicting treatment outcome among TB patients registered in an Urban Health District, Kolkata City, India. SETTINGS AND DESIGN: An institutionbased follow-up study was conducted where all the TB patients registered within the 1(st) 4 months of data collection were followed up for their current course of treatment. SUBJECTS AND METHODS: Perceived discrimination was assessed at treatment initiation, after intensive period and after continuation phase using a predesigned and pretested questionnaire. STATISTICAL ANALYSIS USED: Multivariable logistic regression analyses were performed to identify the determinants of perceived discrimination as well as the treatment outcome. RESULTS: Perceived discrimination by family members, neighbors, and colleagues was reported by 9.4%, 36.5%, and 34.2% participants, respectively, overall discrimination being 37.9%. Multivariable analysis revealed that discrimination was significantly more among patients with older age group, females, and from joint families. Perceived discriminated was found to be significantly predicting unfavorable treatment outcome even after adjustment with background and treatment-related variables. CONCLUSIONS: Sensitization programs should incorporate measures to address stigma and discrimination and more emphasis needs to be placed on women and elderly patients.
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spelling pubmed-77334232020-12-18 Perceived Discrimination among Tuberculosis Patients in an Urban Area of Kolkata City, India Banerjee, Sitikantha Bandyopadhyay, Kajari Taraphdar, Pranita Dasgupta, Aparajita J Glob Infect Dis Public Health Research CONTEXT AND AIMS: Tuberculosis (TB) in India is a leading public health problem plagued by social determinants such as stigma and discrimination, which may affect treatment seeking, adherence, and possibly treatment outcome. This study was conducted to elicit the perceived discrimination, its determinants, as well as to determine whether perceived discrimination is predicting treatment outcome among TB patients registered in an Urban Health District, Kolkata City, India. SETTINGS AND DESIGN: An institutionbased follow-up study was conducted where all the TB patients registered within the 1(st) 4 months of data collection were followed up for their current course of treatment. SUBJECTS AND METHODS: Perceived discrimination was assessed at treatment initiation, after intensive period and after continuation phase using a predesigned and pretested questionnaire. STATISTICAL ANALYSIS USED: Multivariable logistic regression analyses were performed to identify the determinants of perceived discrimination as well as the treatment outcome. RESULTS: Perceived discrimination by family members, neighbors, and colleagues was reported by 9.4%, 36.5%, and 34.2% participants, respectively, overall discrimination being 37.9%. Multivariable analysis revealed that discrimination was significantly more among patients with older age group, females, and from joint families. Perceived discriminated was found to be significantly predicting unfavorable treatment outcome even after adjustment with background and treatment-related variables. CONCLUSIONS: Sensitization programs should incorporate measures to address stigma and discrimination and more emphasis needs to be placed on women and elderly patients. Wolters Kluwer - Medknow 2020-08-29 /pmc/articles/PMC7733423/ /pubmed/33343166 http://dx.doi.org/10.4103/jgid.jgid_146_19 Text en Copyright: © 2020 Journal of Global Infectious Diseases http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Public Health Research
Banerjee, Sitikantha
Bandyopadhyay, Kajari
Taraphdar, Pranita
Dasgupta, Aparajita
Perceived Discrimination among Tuberculosis Patients in an Urban Area of Kolkata City, India
title Perceived Discrimination among Tuberculosis Patients in an Urban Area of Kolkata City, India
title_full Perceived Discrimination among Tuberculosis Patients in an Urban Area of Kolkata City, India
title_fullStr Perceived Discrimination among Tuberculosis Patients in an Urban Area of Kolkata City, India
title_full_unstemmed Perceived Discrimination among Tuberculosis Patients in an Urban Area of Kolkata City, India
title_short Perceived Discrimination among Tuberculosis Patients in an Urban Area of Kolkata City, India
title_sort perceived discrimination among tuberculosis patients in an urban area of kolkata city, india
topic Public Health Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733423/
https://www.ncbi.nlm.nih.gov/pubmed/33343166
http://dx.doi.org/10.4103/jgid.jgid_146_19
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