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Determinants of self-management behaviors among pulmonary tuberculosis patients: a path analysis

BACKGROUND: Tuberculosis (TB) is one of the top 10 causes of death in the world. Since Directly Observed Therapy (DOT) as a core strategy for the global TB control are not applicable to all types of TB patients, and self-management of TB patients (SMTP) as a patient-centered supervision type is a su...

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Autores principales: Li, Jin, Pu, Jie, Liu, Jiaqing, Wang, Qingya, Zhang, Rui, Zhang, Ting, Zhou, Jiani, Xing, Wei, Liang, Shengxiang, Hu, Daiyu, Li, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8325183/
https://www.ncbi.nlm.nih.gov/pubmed/34330337
http://dx.doi.org/10.1186/s40249-021-00888-3
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author Li, Jin
Pu, Jie
Liu, Jiaqing
Wang, Qingya
Zhang, Rui
Zhang, Ting
Zhou, Jiani
Xing, Wei
Liang, Shengxiang
Hu, Daiyu
Li, Ying
author_facet Li, Jin
Pu, Jie
Liu, Jiaqing
Wang, Qingya
Zhang, Rui
Zhang, Ting
Zhou, Jiani
Xing, Wei
Liang, Shengxiang
Hu, Daiyu
Li, Ying
author_sort Li, Jin
collection PubMed
description BACKGROUND: Tuberculosis (TB) is one of the top 10 causes of death in the world. Since Directly Observed Therapy (DOT) as a core strategy for the global TB control are not applicable to all types of TB patients, and self-management of TB patients (SMTP) as a patient-centered supervision type is a supplement to DOT and can improve TB case management. However, the factors related to SMTP are complex and need more study. This study aimed at identifying the determinants of SMTP and examining the direct/indirect effects of these determinants. METHODS: The purposive sampling technique was used to select study sites and participants were recruited from the study sites by the consecutive sampling method. The PRECEDE model was used as the framework to analyze the determinants of SMTP. The responses of TB patients were acquired via a questionnaire survey for data collection. A Pearson correlation analysis was used to define the relationship between the predisposing, enabling, reinforcing factors with SMTP behaviors. A regression-based path analysis was used to determine the action paths of the predisposing, enabling, and reinforcing factors on SMTP behaviors. RESULTS: The predisposing (TB knowledge), enabling [health education and healthcare workers (HCWs) support], reinforcing factors (family support) had significant positive correlations with SMTP behaviors (P < 0.05). The predisposing, enabling, reinforcing factors were positively correlated with each other (r = 0.123‒0.918, P < 0.05), except for family support and HCWs support. The predisposing factors (TB knowledge, β = 0.330) and the enabling factors (HCWs support, β = 0.437) had direct effects on SMTP behaviors. The enabling factors (health education and HCWs support) and the reinforcing factors (family support) had indirect effects on SMTP behaviors. CONCLUSIONS: This study revealed the effects and action path of TB knowledge, health education, HCWs support, and family support on SMTP behaviors via a path analysis. Assessing patient’s needs for SMTP along with promoting effective TB health education and providing firm support from HCWs and family members are potential strategies to promote SMTP behaviors. GRAPHIC ABSTRACT: [Image: see text]
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spelling pubmed-83251832021-08-02 Determinants of self-management behaviors among pulmonary tuberculosis patients: a path analysis Li, Jin Pu, Jie Liu, Jiaqing Wang, Qingya Zhang, Rui Zhang, Ting Zhou, Jiani Xing, Wei Liang, Shengxiang Hu, Daiyu Li, Ying Infect Dis Poverty Research Article BACKGROUND: Tuberculosis (TB) is one of the top 10 causes of death in the world. Since Directly Observed Therapy (DOT) as a core strategy for the global TB control are not applicable to all types of TB patients, and self-management of TB patients (SMTP) as a patient-centered supervision type is a supplement to DOT and can improve TB case management. However, the factors related to SMTP are complex and need more study. This study aimed at identifying the determinants of SMTP and examining the direct/indirect effects of these determinants. METHODS: The purposive sampling technique was used to select study sites and participants were recruited from the study sites by the consecutive sampling method. The PRECEDE model was used as the framework to analyze the determinants of SMTP. The responses of TB patients were acquired via a questionnaire survey for data collection. A Pearson correlation analysis was used to define the relationship between the predisposing, enabling, reinforcing factors with SMTP behaviors. A regression-based path analysis was used to determine the action paths of the predisposing, enabling, and reinforcing factors on SMTP behaviors. RESULTS: The predisposing (TB knowledge), enabling [health education and healthcare workers (HCWs) support], reinforcing factors (family support) had significant positive correlations with SMTP behaviors (P < 0.05). The predisposing, enabling, reinforcing factors were positively correlated with each other (r = 0.123‒0.918, P < 0.05), except for family support and HCWs support. The predisposing factors (TB knowledge, β = 0.330) and the enabling factors (HCWs support, β = 0.437) had direct effects on SMTP behaviors. The enabling factors (health education and HCWs support) and the reinforcing factors (family support) had indirect effects on SMTP behaviors. CONCLUSIONS: This study revealed the effects and action path of TB knowledge, health education, HCWs support, and family support on SMTP behaviors via a path analysis. Assessing patient’s needs for SMTP along with promoting effective TB health education and providing firm support from HCWs and family members are potential strategies to promote SMTP behaviors. GRAPHIC ABSTRACT: [Image: see text] BioMed Central 2021-07-30 /pmc/articles/PMC8325183/ /pubmed/34330337 http://dx.doi.org/10.1186/s40249-021-00888-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Li, Jin
Pu, Jie
Liu, Jiaqing
Wang, Qingya
Zhang, Rui
Zhang, Ting
Zhou, Jiani
Xing, Wei
Liang, Shengxiang
Hu, Daiyu
Li, Ying
Determinants of self-management behaviors among pulmonary tuberculosis patients: a path analysis
title Determinants of self-management behaviors among pulmonary tuberculosis patients: a path analysis
title_full Determinants of self-management behaviors among pulmonary tuberculosis patients: a path analysis
title_fullStr Determinants of self-management behaviors among pulmonary tuberculosis patients: a path analysis
title_full_unstemmed Determinants of self-management behaviors among pulmonary tuberculosis patients: a path analysis
title_short Determinants of self-management behaviors among pulmonary tuberculosis patients: a path analysis
title_sort determinants of self-management behaviors among pulmonary tuberculosis patients: a path analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8325183/
https://www.ncbi.nlm.nih.gov/pubmed/34330337
http://dx.doi.org/10.1186/s40249-021-00888-3
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