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Modelling the impact of social protection on tuberculosis: the S-PROTECT project
BACKGROUND: Tackling the social determinants of Tuberculosis (TB) through social protection is a key element of the post-2015 End TB Strategy. However, evidence informing policies are still scarce. Mathematical modelling has the potential to contribute to fill this knowledge gap, but existing models...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020219/ https://www.ncbi.nlm.nih.gov/pubmed/29940906 http://dx.doi.org/10.1186/s12889-018-5539-x |
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author | Boccia, D. Rudgard, W. Shrestha, S. Lönnroth, K. Eckhoff, P. Golub, J. Sanchez, M. Maciel, E. Rasella, D. Shete, P. Pedrazzoli, D. Houben, R. Chang, S. Dowdy, D. |
author_facet | Boccia, D. Rudgard, W. Shrestha, S. Lönnroth, K. Eckhoff, P. Golub, J. Sanchez, M. Maciel, E. Rasella, D. Shete, P. Pedrazzoli, D. Houben, R. Chang, S. Dowdy, D. |
author_sort | Boccia, D. |
collection | PubMed |
description | BACKGROUND: Tackling the social determinants of Tuberculosis (TB) through social protection is a key element of the post-2015 End TB Strategy. However, evidence informing policies are still scarce. Mathematical modelling has the potential to contribute to fill this knowledge gap, but existing models are inadequate. The S-PROTECT consortium aimed to develop an innovative mathematical modelling approach to better understand the role of social protection to improve TB care, prevention and control. METHODS: S-PROTECT used a three-steps approach: 1) the development of a conceptual framework; 2) the extraction from this framework of three high-priority mechanistic pathways amenable for modelling; 3) the development of a revised version of a standard TB transmission model able to capture the structure of these pathways. As a test case we used the Bolsa Familia Programme (BFP), the Brazilian conditional cash transfer scheme. RESULTS: Assessing one of these pathways, we estimated that BFP can reduce TB prevalence by 4% by improving households income and thus their nutritional status. When looking at the direct impact via malnutrition (not income mediated) the impact was 33%. This variation was due to limited data availability, uncertainties on data transformation and the pathway approach taken. These results are preliminary and only aim to serve as illustrative example of the methodological challenges encountered in this first modelling attempt, nonetheless they suggest the potential added value of integrating TB standard of care with social protection strategies. CONCLUSIONS: Results are to be confirmed with further analysis. However, by developing a generalizable modelling framework, S-PROTECT proved that the modelling of social protection is complex, but doable and allowed to draw the research road map for the future in this field. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-5539-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6020219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60202192018-07-06 Modelling the impact of social protection on tuberculosis: the S-PROTECT project Boccia, D. Rudgard, W. Shrestha, S. Lönnroth, K. Eckhoff, P. Golub, J. Sanchez, M. Maciel, E. Rasella, D. Shete, P. Pedrazzoli, D. Houben, R. Chang, S. Dowdy, D. BMC Public Health Research Article BACKGROUND: Tackling the social determinants of Tuberculosis (TB) through social protection is a key element of the post-2015 End TB Strategy. However, evidence informing policies are still scarce. Mathematical modelling has the potential to contribute to fill this knowledge gap, but existing models are inadequate. The S-PROTECT consortium aimed to develop an innovative mathematical modelling approach to better understand the role of social protection to improve TB care, prevention and control. METHODS: S-PROTECT used a three-steps approach: 1) the development of a conceptual framework; 2) the extraction from this framework of three high-priority mechanistic pathways amenable for modelling; 3) the development of a revised version of a standard TB transmission model able to capture the structure of these pathways. As a test case we used the Bolsa Familia Programme (BFP), the Brazilian conditional cash transfer scheme. RESULTS: Assessing one of these pathways, we estimated that BFP can reduce TB prevalence by 4% by improving households income and thus their nutritional status. When looking at the direct impact via malnutrition (not income mediated) the impact was 33%. This variation was due to limited data availability, uncertainties on data transformation and the pathway approach taken. These results are preliminary and only aim to serve as illustrative example of the methodological challenges encountered in this first modelling attempt, nonetheless they suggest the potential added value of integrating TB standard of care with social protection strategies. CONCLUSIONS: Results are to be confirmed with further analysis. However, by developing a generalizable modelling framework, S-PROTECT proved that the modelling of social protection is complex, but doable and allowed to draw the research road map for the future in this field. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-5539-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-26 /pmc/articles/PMC6020219/ /pubmed/29940906 http://dx.doi.org/10.1186/s12889-018-5539-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Boccia, D. Rudgard, W. Shrestha, S. Lönnroth, K. Eckhoff, P. Golub, J. Sanchez, M. Maciel, E. Rasella, D. Shete, P. Pedrazzoli, D. Houben, R. Chang, S. Dowdy, D. Modelling the impact of social protection on tuberculosis: the S-PROTECT project |
title | Modelling the impact of social protection on tuberculosis: the S-PROTECT project |
title_full | Modelling the impact of social protection on tuberculosis: the S-PROTECT project |
title_fullStr | Modelling the impact of social protection on tuberculosis: the S-PROTECT project |
title_full_unstemmed | Modelling the impact of social protection on tuberculosis: the S-PROTECT project |
title_short | Modelling the impact of social protection on tuberculosis: the S-PROTECT project |
title_sort | modelling the impact of social protection on tuberculosis: the s-protect project |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020219/ https://www.ncbi.nlm.nih.gov/pubmed/29940906 http://dx.doi.org/10.1186/s12889-018-5539-x |
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