Social determinants of pulmonary tuberculosis treatment non-adherence in Rio de Janeiro, Brazil

Success in tuberculosis control depends on the implementation of steps that reduce social inequities, allowing the diagnosis and effective treatment of the disease. Little is known about the conditions affecting antituberculosis treatment non-adherence in areas of great social and economic heterogen...

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Bibliographic Details
Published in:PloS one 2018-01, Vol.13 (1), p.e0190578-e0190578
Main Authors: Maciel, Elvira Maria Godinho de Seixas, Amancio, Juliana de Souza, Castro, Daniel Barros de, Braga, José Ueleres
Format: Article
Language:English
Subjects:
Analysis
Antitubercular agents
Biology and Life Sciences
Control
Drug therapy
Ecological studies
Economic conditions
Economic models
Economics
Health aspects
Heterogeneity
Households
Influence
Medical diagnosis
Medical treatment
Medicine and Health Sciences
Neighborhoods
Patient compliance
Patients
People and places
Public health
Regression analysis
Regression models
Sanitation
Social Sciences
Tuberculosis
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Summary:Success in tuberculosis control depends on the implementation of steps that reduce social inequities, allowing the diagnosis and effective treatment of the disease. Little is known about the conditions affecting antituberculosis treatment non-adherence in areas of great social and economic heterogeneity, such as the municipality of Rio de Janeiro. This study aimed to describe and identify the social determinants of antituberculosis treatment non-adherence in the municipality of Rio de Janeiro between 2008 and 2012. An ecological study was conducted with the districts of Rio de Janeiro as the units of analysis. Analyzes using Poisson regression models allowed us to identify the association between dropout from antituberculosis treatment and the human development index and social development index. The final model showed that economic conditions, infrastructure, and the tuberculosis control quality of surveillance were associated with treatment non-adherence. This study demonstrated that the scenarios of socio-environmental precariousness found in the districts of Rio de Janeiro were able to identify populations with an increased risk of default treatment from antituberculosis.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0190578