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Spatial analysis of the tuberculosis treatment dropout, Buenos Aires, Argentina.

Herrero MB, Arrossi S, Ramos S, Braga JU - Rev Saude Publica (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Área de Relaciones Internacionales, Facultad Latinoamericana de Ciencias Sociales, Buenos Aires, Argentina.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Área de estudio: municipios seleccionados de la Región Sanitaria VI (RSVI) y fracciones censales. Buenos Aires, Argentina, 2001.
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f01003: Área de estudio: municipios seleccionados de la Región Sanitaria VI (RSVI) y fracciones censales. Buenos Aires, Argentina, 2001.

Mentions: Estudio ecológico espacial en siete municipios de la Región Sanitaria Sexta (RSVI) del Área Metropolitana de Buenos Aires (AMBA) (donde existen 116 fracciones censales – Figura 1): Almirante Brown, Avellaneda, Berazategui, Esteban Echeverría, Ezeiza, Lomas de Zamora y Quilmes. Los dos municipios restantes que integran la RSVI (Lanús y Florencio Varela) no pudieron ser incluidos puesto que no disponían de Comité de Ética para la evaluación del protocolo del estudio de corte transversal de donde provienen los casos (adherentes y no adherentes) georreferenciados.e


Spatial analysis of the tuberculosis treatment dropout, Buenos Aires, Argentina.

Herrero MB, Arrossi S, Ramos S, Braga JU - Rev Saude Publica (2015)

Área de estudio: municipios seleccionados de la Región Sanitaria VI (RSVI) y fracciones censales. Buenos Aires, Argentina, 2001.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4544507&req=5

f01003: Área de estudio: municipios seleccionados de la Región Sanitaria VI (RSVI) y fracciones censales. Buenos Aires, Argentina, 2001.
Mentions: Estudio ecológico espacial en siete municipios de la Región Sanitaria Sexta (RSVI) del Área Metropolitana de Buenos Aires (AMBA) (donde existen 116 fracciones censales – Figura 1): Almirante Brown, Avellaneda, Berazategui, Esteban Echeverría, Ezeiza, Lomas de Zamora y Quilmes. Los dos municipios restantes que integran la RSVI (Lanús y Florencio Varela) no pudieron ser incluidos puesto que no disponían de Comité de Ética para la evaluación del protocolo del estudio de corte transversal de donde provienen los casos (adherentes y no adherentes) georreferenciados.e

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Área de Relaciones Internacionales, Facultad Latinoamericana de Ciencias Sociales, Buenos Aires, Argentina.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus