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Occupational Risk of Airborne Mycobacterium tuberculosis Exposure: A Situational Analysis in a Three-Tier Public Healthcare System in South Africa

This study aimed to detect airborne Mycobacterium tuberculosis (MTB) at nine public health facilities in three provinces of South Africa and determine possible risk factors that may contribute to airborne transmission. Personal samples (n = 264) and stationary samples (n = 327) were collected from p...

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Autores principales: Matuka, Dikeledi O., Duba, Thabang, Ngcobo, Zethembiso, Made, Felix, Muleba, Lufuno, Nthoke, Tebogo, Singh, Tanusha S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508202/
https://www.ncbi.nlm.nih.gov/pubmed/34639431
http://dx.doi.org/10.3390/ijerph181910130
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author Matuka, Dikeledi O.
Duba, Thabang
Ngcobo, Zethembiso
Made, Felix
Muleba, Lufuno
Nthoke, Tebogo
Singh, Tanusha S.
author_facet Matuka, Dikeledi O.
Duba, Thabang
Ngcobo, Zethembiso
Made, Felix
Muleba, Lufuno
Nthoke, Tebogo
Singh, Tanusha S.
author_sort Matuka, Dikeledi O.
collection PubMed
description This study aimed to detect airborne Mycobacterium tuberculosis (MTB) at nine public health facilities in three provinces of South Africa and determine possible risk factors that may contribute to airborne transmission. Personal samples (n = 264) and stationary samples (n = 327) were collected from perceived high-risk areas in district, primary health clinics (PHCs) and TB facilities. Quantitative real-time (RT) polymerase chain reaction (PCR) was used for TB analysis. Walkabout observations and work practices through the infection prevention and control (IPC) questionnaire were documented. Statistical analysis was carried out using Stata version 15.2 software. Airborne MTB was detected in 2.2% of samples (13/572), and 97.8% were negative. District hospitals and Western Cape province had the most TB-positive samples and identified risk areas included medical wards, casualty, and TB wards. MTB-positive samples were not detected in PHCs and during the summer season. All facilities reported training healthcare workers (HCWs) on TB IPC. The risk factors for airborne MTB included province, type of facility, area or section, season, lack of UVGI, and ineffective ventilation. Environmental monitoring, PCR, IPC questionnaire, and walkabout observations can estimate the risk of TB transmission in various settings. These findings can be used to inform management and staff to improve the TB IPC programmes.
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spelling pubmed-85082022021-10-13 Occupational Risk of Airborne Mycobacterium tuberculosis Exposure: A Situational Analysis in a Three-Tier Public Healthcare System in South Africa Matuka, Dikeledi O. Duba, Thabang Ngcobo, Zethembiso Made, Felix Muleba, Lufuno Nthoke, Tebogo Singh, Tanusha S. Int J Environ Res Public Health Article This study aimed to detect airborne Mycobacterium tuberculosis (MTB) at nine public health facilities in three provinces of South Africa and determine possible risk factors that may contribute to airborne transmission. Personal samples (n = 264) and stationary samples (n = 327) were collected from perceived high-risk areas in district, primary health clinics (PHCs) and TB facilities. Quantitative real-time (RT) polymerase chain reaction (PCR) was used for TB analysis. Walkabout observations and work practices through the infection prevention and control (IPC) questionnaire were documented. Statistical analysis was carried out using Stata version 15.2 software. Airborne MTB was detected in 2.2% of samples (13/572), and 97.8% were negative. District hospitals and Western Cape province had the most TB-positive samples and identified risk areas included medical wards, casualty, and TB wards. MTB-positive samples were not detected in PHCs and during the summer season. All facilities reported training healthcare workers (HCWs) on TB IPC. The risk factors for airborne MTB included province, type of facility, area or section, season, lack of UVGI, and ineffective ventilation. Environmental monitoring, PCR, IPC questionnaire, and walkabout observations can estimate the risk of TB transmission in various settings. These findings can be used to inform management and staff to improve the TB IPC programmes. MDPI 2021-09-27 /pmc/articles/PMC8508202/ /pubmed/34639431 http://dx.doi.org/10.3390/ijerph181910130 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Matuka, Dikeledi O.
Duba, Thabang
Ngcobo, Zethembiso
Made, Felix
Muleba, Lufuno
Nthoke, Tebogo
Singh, Tanusha S.
Occupational Risk of Airborne Mycobacterium tuberculosis Exposure: A Situational Analysis in a Three-Tier Public Healthcare System in South Africa
title Occupational Risk of Airborne Mycobacterium tuberculosis Exposure: A Situational Analysis in a Three-Tier Public Healthcare System in South Africa
title_full Occupational Risk of Airborne Mycobacterium tuberculosis Exposure: A Situational Analysis in a Three-Tier Public Healthcare System in South Africa
title_fullStr Occupational Risk of Airborne Mycobacterium tuberculosis Exposure: A Situational Analysis in a Three-Tier Public Healthcare System in South Africa
title_full_unstemmed Occupational Risk of Airborne Mycobacterium tuberculosis Exposure: A Situational Analysis in a Three-Tier Public Healthcare System in South Africa
title_short Occupational Risk of Airborne Mycobacterium tuberculosis Exposure: A Situational Analysis in a Three-Tier Public Healthcare System in South Africa
title_sort occupational risk of airborne mycobacterium tuberculosis exposure: a situational analysis in a three-tier public healthcare system in south africa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508202/
https://www.ncbi.nlm.nih.gov/pubmed/34639431
http://dx.doi.org/10.3390/ijerph181910130
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