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Factors influencing TB treatment interruption and treatment outcomes among patients in Kiambu County, 2016-2019

Tuberculosis (TB) is the leading cause of mortality as a single infectious agent globally with increasing numbers of case notification in developing countries. This study seeks to investigate the clinical and socio-demographic factors of time to TB treatment interruption among Tuberculosis patients...

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Autores principales: Kimani, Evelyn, Muhula, Samuel, Kiptai, Titus, Orwa, James, Odero, Theresa, Gachuno, Onesmus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8023511/
https://www.ncbi.nlm.nih.gov/pubmed/33822794
http://dx.doi.org/10.1371/journal.pone.0248820
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author Kimani, Evelyn
Muhula, Samuel
Kiptai, Titus
Orwa, James
Odero, Theresa
Gachuno, Onesmus
author_facet Kimani, Evelyn
Muhula, Samuel
Kiptai, Titus
Orwa, James
Odero, Theresa
Gachuno, Onesmus
author_sort Kimani, Evelyn
collection PubMed
description Tuberculosis (TB) is the leading cause of mortality as a single infectious agent globally with increasing numbers of case notification in developing countries. This study seeks to investigate the clinical and socio-demographic factors of time to TB treatment interruption among Tuberculosis patients in Kiambu County, 2016–2019. We retrospectively analyzed data for all treatment outcomes patients obtained from TB tracing form linked with the Tuberculosis Information Basic Unit (TIBU) of patients in Kiambu County health facilities using time to treatment interruption as the main outcome. Categorical variables were presented using frequency and percentages. Kaplan-Meir curve was used to analyze probabilities of time to treatment interruptions between intensive and continuation phases. Log-rank test statistics was used to compare the equality of the curves. Cox proportion model was used to determine determinants of treatment interruption. A total of 292 participants were included in this study. Males were 68%, with majority (35%) of the participants were aged 24–35 years; 5.8% were aged 0–14 years and 5.1% aged above 55 years. The overall treatment success rate was 66.8% (cured, 34.6%; completed 32.2%), 60.3% were on intensive phase of treatment. Lack of knowledge and relocation were the major reasons of treatment interruptions. Patients on intensive phase were 1.58 times likely to interrupt treatment compared to those on continuation phase (aHR: 1.581; 95%CI: 1.232–2.031). There is need to develop TB interventions that target men and middle aged population in order to reduce treatment interruption and increase the treatment success rates in the County and Country.
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spelling pubmed-80235112021-04-15 Factors influencing TB treatment interruption and treatment outcomes among patients in Kiambu County, 2016-2019 Kimani, Evelyn Muhula, Samuel Kiptai, Titus Orwa, James Odero, Theresa Gachuno, Onesmus PLoS One Research Article Tuberculosis (TB) is the leading cause of mortality as a single infectious agent globally with increasing numbers of case notification in developing countries. This study seeks to investigate the clinical and socio-demographic factors of time to TB treatment interruption among Tuberculosis patients in Kiambu County, 2016–2019. We retrospectively analyzed data for all treatment outcomes patients obtained from TB tracing form linked with the Tuberculosis Information Basic Unit (TIBU) of patients in Kiambu County health facilities using time to treatment interruption as the main outcome. Categorical variables were presented using frequency and percentages. Kaplan-Meir curve was used to analyze probabilities of time to treatment interruptions between intensive and continuation phases. Log-rank test statistics was used to compare the equality of the curves. Cox proportion model was used to determine determinants of treatment interruption. A total of 292 participants were included in this study. Males were 68%, with majority (35%) of the participants were aged 24–35 years; 5.8% were aged 0–14 years and 5.1% aged above 55 years. The overall treatment success rate was 66.8% (cured, 34.6%; completed 32.2%), 60.3% were on intensive phase of treatment. Lack of knowledge and relocation were the major reasons of treatment interruptions. Patients on intensive phase were 1.58 times likely to interrupt treatment compared to those on continuation phase (aHR: 1.581; 95%CI: 1.232–2.031). There is need to develop TB interventions that target men and middle aged population in order to reduce treatment interruption and increase the treatment success rates in the County and Country. Public Library of Science 2021-04-06 /pmc/articles/PMC8023511/ /pubmed/33822794 http://dx.doi.org/10.1371/journal.pone.0248820 Text en © 2021 Kimani et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kimani, Evelyn
Muhula, Samuel
Kiptai, Titus
Orwa, James
Odero, Theresa
Gachuno, Onesmus
Factors influencing TB treatment interruption and treatment outcomes among patients in Kiambu County, 2016-2019
title Factors influencing TB treatment interruption and treatment outcomes among patients in Kiambu County, 2016-2019
title_full Factors influencing TB treatment interruption and treatment outcomes among patients in Kiambu County, 2016-2019
title_fullStr Factors influencing TB treatment interruption and treatment outcomes among patients in Kiambu County, 2016-2019
title_full_unstemmed Factors influencing TB treatment interruption and treatment outcomes among patients in Kiambu County, 2016-2019
title_short Factors influencing TB treatment interruption and treatment outcomes among patients in Kiambu County, 2016-2019
title_sort factors influencing tb treatment interruption and treatment outcomes among patients in kiambu county, 2016-2019
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8023511/
https://www.ncbi.nlm.nih.gov/pubmed/33822794
http://dx.doi.org/10.1371/journal.pone.0248820
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