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Diagnostic work-up and loss of tuberculosis suspects in Jogjakarta, Indonesia

BACKGROUND: Early and accurate diagnosis of pulmonary tuberculosis (TB) is critical for successful TB control. To assist in the diagnosis of smear-negative pulmonary TB, the World Health Organisation (WHO) recommends the use of a diagnostic algorithm. Our study evaluated the implementation of the na...

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Autores principales: Ahmad, Riris Andono, Matthys, Francine, Dwihardiani, Bintari, Rintiswati, Ning, de Vlas, Sake J, Mahendradhata, Yodi, van der Stuyft, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338364/
https://www.ncbi.nlm.nih.gov/pubmed/22333111
http://dx.doi.org/10.1186/1471-2458-12-132
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author Ahmad, Riris Andono
Matthys, Francine
Dwihardiani, Bintari
Rintiswati, Ning
de Vlas, Sake J
Mahendradhata, Yodi
van der Stuyft, Patrick
author_facet Ahmad, Riris Andono
Matthys, Francine
Dwihardiani, Bintari
Rintiswati, Ning
de Vlas, Sake J
Mahendradhata, Yodi
van der Stuyft, Patrick
author_sort Ahmad, Riris Andono
collection PubMed
description BACKGROUND: Early and accurate diagnosis of pulmonary tuberculosis (TB) is critical for successful TB control. To assist in the diagnosis of smear-negative pulmonary TB, the World Health Organisation (WHO) recommends the use of a diagnostic algorithm. Our study evaluated the implementation of the national tuberculosis programme's diagnostic algorithm in routine health care settings in Jogjakarta, Indonesia. The diagnostic algorithm is based on the WHO TB diagnostic algorithm, which had already been implemented in the health facilities. METHODS: We prospectively documented the diagnostic work-up of all new tuberculosis suspects until a diagnosis was reached. We used clinical audit forms to record each step chronologically. Data on the patient's gender, age, symptoms, examinations (types, dates, and results), and final diagnosis were collected. RESULTS: Information was recorded for 754 TB suspects; 43.5% of whom were lost during the diagnostic work-up in health centres, 0% in lung clinics. Among the TB suspects who completed diagnostic work-ups, 51.1% and 100.0% were diagnosed without following the national TB diagnostic algorithm in health centres and lung clinics, respectively. However, the work-up in the health centres and lung clinics generally conformed to international standards for tuberculosis care (ISTC). Diagnostic delays were significantly longer in health centres compared to lung clinics. CONCLUSIONS: The high rate of patients lost in health centres needs to be addressed through the implementation of TB suspect tracing and better programme supervision. The national TB algorithm needs to be revised and differentiated according to the level of care.
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spelling pubmed-33383642012-04-28 Diagnostic work-up and loss of tuberculosis suspects in Jogjakarta, Indonesia Ahmad, Riris Andono Matthys, Francine Dwihardiani, Bintari Rintiswati, Ning de Vlas, Sake J Mahendradhata, Yodi van der Stuyft, Patrick BMC Public Health Research Article BACKGROUND: Early and accurate diagnosis of pulmonary tuberculosis (TB) is critical for successful TB control. To assist in the diagnosis of smear-negative pulmonary TB, the World Health Organisation (WHO) recommends the use of a diagnostic algorithm. Our study evaluated the implementation of the national tuberculosis programme's diagnostic algorithm in routine health care settings in Jogjakarta, Indonesia. The diagnostic algorithm is based on the WHO TB diagnostic algorithm, which had already been implemented in the health facilities. METHODS: We prospectively documented the diagnostic work-up of all new tuberculosis suspects until a diagnosis was reached. We used clinical audit forms to record each step chronologically. Data on the patient's gender, age, symptoms, examinations (types, dates, and results), and final diagnosis were collected. RESULTS: Information was recorded for 754 TB suspects; 43.5% of whom were lost during the diagnostic work-up in health centres, 0% in lung clinics. Among the TB suspects who completed diagnostic work-ups, 51.1% and 100.0% were diagnosed without following the national TB diagnostic algorithm in health centres and lung clinics, respectively. However, the work-up in the health centres and lung clinics generally conformed to international standards for tuberculosis care (ISTC). Diagnostic delays were significantly longer in health centres compared to lung clinics. CONCLUSIONS: The high rate of patients lost in health centres needs to be addressed through the implementation of TB suspect tracing and better programme supervision. The national TB algorithm needs to be revised and differentiated according to the level of care. BioMed Central 2012-02-15 /pmc/articles/PMC3338364/ /pubmed/22333111 http://dx.doi.org/10.1186/1471-2458-12-132 Text en Copyright ©2012 Ahmad et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ahmad, Riris Andono
Matthys, Francine
Dwihardiani, Bintari
Rintiswati, Ning
de Vlas, Sake J
Mahendradhata, Yodi
van der Stuyft, Patrick
Diagnostic work-up and loss of tuberculosis suspects in Jogjakarta, Indonesia
title Diagnostic work-up and loss of tuberculosis suspects in Jogjakarta, Indonesia
title_full Diagnostic work-up and loss of tuberculosis suspects in Jogjakarta, Indonesia
title_fullStr Diagnostic work-up and loss of tuberculosis suspects in Jogjakarta, Indonesia
title_full_unstemmed Diagnostic work-up and loss of tuberculosis suspects in Jogjakarta, Indonesia
title_short Diagnostic work-up and loss of tuberculosis suspects in Jogjakarta, Indonesia
title_sort diagnostic work-up and loss of tuberculosis suspects in jogjakarta, indonesia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338364/
https://www.ncbi.nlm.nih.gov/pubmed/22333111
http://dx.doi.org/10.1186/1471-2458-12-132
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