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Prediction Model of Tuberculosis Transmission Based on Its Risk Factors and Socioeconomic Position in Indonesia
CONTEXT: The current evidence shows that people in low-socioeconomic positions tend to be at high risk for tuberculosis (TB) transmission. AIMS: The aim of this study is to identify the significance of socioeconomic position and TB risk factors to TB transmission, particularly in Bandar Lampung, Ind...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6166512/ https://www.ncbi.nlm.nih.gov/pubmed/30294089 http://dx.doi.org/10.4103/ijcm.IJCM_60_18 |
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author | Rengganis Wardani, Dyah Wulan Sumekar Wahono, Endro Prasetyo |
author_facet | Rengganis Wardani, Dyah Wulan Sumekar Wahono, Endro Prasetyo |
author_sort | Rengganis Wardani, Dyah Wulan Sumekar |
collection | PubMed |
description | CONTEXT: The current evidence shows that people in low-socioeconomic positions tend to be at high risk for tuberculosis (TB) transmission. AIMS: The aim of this study is to identify the significance of socioeconomic position and TB risk factors to TB transmission, particularly in Bandar Lampung, Indonesia. SETTINGS AND DESIGN: This cross-sectional study, conducting in January–November 2017, included 166 samples of smear-positive TB patients collected from 30 community health centers across the city that had implemented DOTS strategy. SUBJECTS AND METHODS: The latent variables consisted of the following: socioeconomic position, housing, nutritional, healthcare access, and TB transmission, which was measured through corresponding indicators. The data were collected through in-depth interviews. STATISTICAL ANALYSIS USED: Data analyzed using the partial least square method. RESULTS: Determinants of socioeconomic position through housing determinants significantly influence TB transmission with R(2) of 42.3%. They also show that education, housing density index, and internal house transmission are the strongest indicators in explaining their associated latent variables. CONCLUSIONS: TB control program should be integrated with education improvement, a reduction of housing density index, and strengthened examinations of internal house contacts. These programs should be supported by health institutions and other related institutions. The findings will improve TB control programs, especially in low- and middle-income countries with high-socioeconomic disparity. |
format | Online Article Text |
id | pubmed-6166512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-61665122018-10-05 Prediction Model of Tuberculosis Transmission Based on Its Risk Factors and Socioeconomic Position in Indonesia Rengganis Wardani, Dyah Wulan Sumekar Wahono, Endro Prasetyo Indian J Community Med Original Article CONTEXT: The current evidence shows that people in low-socioeconomic positions tend to be at high risk for tuberculosis (TB) transmission. AIMS: The aim of this study is to identify the significance of socioeconomic position and TB risk factors to TB transmission, particularly in Bandar Lampung, Indonesia. SETTINGS AND DESIGN: This cross-sectional study, conducting in January–November 2017, included 166 samples of smear-positive TB patients collected from 30 community health centers across the city that had implemented DOTS strategy. SUBJECTS AND METHODS: The latent variables consisted of the following: socioeconomic position, housing, nutritional, healthcare access, and TB transmission, which was measured through corresponding indicators. The data were collected through in-depth interviews. STATISTICAL ANALYSIS USED: Data analyzed using the partial least square method. RESULTS: Determinants of socioeconomic position through housing determinants significantly influence TB transmission with R(2) of 42.3%. They also show that education, housing density index, and internal house transmission are the strongest indicators in explaining their associated latent variables. CONCLUSIONS: TB control program should be integrated with education improvement, a reduction of housing density index, and strengthened examinations of internal house contacts. These programs should be supported by health institutions and other related institutions. The findings will improve TB control programs, especially in low- and middle-income countries with high-socioeconomic disparity. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC6166512/ /pubmed/30294089 http://dx.doi.org/10.4103/ijcm.IJCM_60_18 Text en Copyright: © 2018 Indian Journal of Community Medicine 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 | Original Article Rengganis Wardani, Dyah Wulan Sumekar Wahono, Endro Prasetyo Prediction Model of Tuberculosis Transmission Based on Its Risk Factors and Socioeconomic Position in Indonesia |
title | Prediction Model of Tuberculosis Transmission Based on Its Risk Factors and Socioeconomic Position in Indonesia |
title_full | Prediction Model of Tuberculosis Transmission Based on Its Risk Factors and Socioeconomic Position in Indonesia |
title_fullStr | Prediction Model of Tuberculosis Transmission Based on Its Risk Factors and Socioeconomic Position in Indonesia |
title_full_unstemmed | Prediction Model of Tuberculosis Transmission Based on Its Risk Factors and Socioeconomic Position in Indonesia |
title_short | Prediction Model of Tuberculosis Transmission Based on Its Risk Factors and Socioeconomic Position in Indonesia |
title_sort | prediction model of tuberculosis transmission based on its risk factors and socioeconomic position in indonesia |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6166512/ https://www.ncbi.nlm.nih.gov/pubmed/30294089 http://dx.doi.org/10.4103/ijcm.IJCM_60_18 |
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