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https://dspace.inc.saude.gov.br/handle/123456789/21

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Navegando Produção Docente por Autor "Arrossi, Silvina"

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    Social determinants of nonadherence to tuberculosis treatment in Buenos Aires, Argentina
    (Cadernos de Saúde Pública, 2015) Herrero, Maria Belen; Arrossi, Silvina; Ramos, Silvina; Braga, Jose Uereles
    This study aimed to identify the individual and environmental determinants of nonadherence to tuberculosis (TB) treatment in selected districts in the Buenos Aires Metropolitan Area, in Argentina. We conducted a cross-sectional study using a hierarchical model. Using primary and secondary data, logistic regression was performed to analyze two types of determinants. The likelihood of nonadherence to treatment was greatest among male patients. The following factors led to a greater likelihood of nonadherence to treatment: patients living in a home without running water; head of household without medical insurance; need to use more than one means of transport to reach the health center; place of residence in an area with a high proportion of households connected to the natural gas network; place of residence in an area where a large proportion of families fall below the minimum threshold of subsistence capacity; place of residence in an area where a high proportion of households do not have flushing toilets and basic sanitation. Our results show that social and economic factors – related to both individual and environmental characteristics – influence adherence to TB treatment.
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    Spatial analysis of the tuberculosis treatment dropout, Buenos Aires, Argentina
    (Revista de Saúde Pública, 2015) Herrero, María Belén; Arrossi, Silvina; Ramos, Silvina; Braga, José Ueleres
    OBJECTIVE: Identify spatial distribution patterns of the proportion of nonadherence to tuberculosis treatment and its associated factors. METHODS: We conducted an ecological study based on secondary and primary data from municipalities of the metropolitan area of Buenos Aires, Argentina. An exploratory analysis of the characteristics of the area and the distributions of the cases included in the sample (proportion of nonadherence) was also carried out along with a multifactor analysis by linear regression. The variables related to the characteristics of the population, residences and families were analyzed. RESULTS: Areas with higher proportion of the population without social security benefits (p = 0.007) and of households with unsatisfied basic needs had a higher risk of nonadherence (p = 0.032). In addition, the proportion of nonadherence was higher in areas with the highest proportion of households with no public transportation within 300 meters (p = 0.070). CONCLUSIONS: We found a risk area for the nonadherence to treatment characterized by a population living in poverty, with precarious jobs and difficult access to public transportation. DESCRIPTORS: Tuberculosis, drug therapy. Medication Adherence. Socioeconomic Factors. Health Inequalities. Ecological Studie