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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

Distribution of the indicators of the multiple regression model and the dropout proportion. Selected municipalities from Sixth Health Region (6th HR) by census fraction. Buenos Aires, Argentina, 2001.
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f02: Distribution of the indicators of the multiple regression model and the dropout proportion. Selected municipalities from Sixth Health Region (6th HR) by census fraction. Buenos Aires, Argentina, 2001.

Mentions: Regarding the proportion of the active population that make no contributions to retirement funds, we could observe two stripes with lighter areas and a peripheral area demarcated out of it (dark areas) (Figure 2, A). We also observed a concentration of census fractions of the population that do not make retirement contributions nor receive them. The same pattern of distribution was observed in all the region, that is, dark areas at the peripheral region and lighter color fractions at central areas where is the largest proportion of dropouts. Regarding UBN related to subsistence capacity (Figure 2, B), the highest percentage of residences with this deprivation is concentrated mainly in two uniform places: Lomas de Zamora and Quilmes. About the availability of public transportation within 300 m (Figure 2, C), we observed three stripes with lighter areas and a periphery demarcated beyond these areas, with lower percentages of availability of this service, where the proportion of nonadherence was higher, predominantly in Lomas de Zamora, the border with the capital, in the city of Quilmes, mainly between Lomas de Zamora and Almirante Brown border, and most part of Ezeiza.


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

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

Distribution of the indicators of the multiple regression model and the dropout proportion. Selected municipalities from Sixth Health Region (6th HR) by census fraction. Buenos Aires, Argentina, 2001.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f02: Distribution of the indicators of the multiple regression model and the dropout proportion. Selected municipalities from Sixth Health Region (6th HR) by census fraction. Buenos Aires, Argentina, 2001.
Mentions: Regarding the proportion of the active population that make no contributions to retirement funds, we could observe two stripes with lighter areas and a peripheral area demarcated out of it (dark areas) (Figure 2, A). We also observed a concentration of census fractions of the population that do not make retirement contributions nor receive them. The same pattern of distribution was observed in all the region, that is, dark areas at the peripheral region and lighter color fractions at central areas where is the largest proportion of dropouts. Regarding UBN related to subsistence capacity (Figure 2, B), the highest percentage of residences with this deprivation is concentrated mainly in two uniform places: Lomas de Zamora and Quilmes. About the availability of public transportation within 300 m (Figure 2, C), we observed three stripes with lighter areas and a periphery demarcated beyond these areas, with lower percentages of availability of this service, where the proportion of nonadherence was higher, predominantly in Lomas de Zamora, the border with the capital, in the city of Quilmes, mainly between Lomas de Zamora and Almirante Brown border, and most part of Ezeiza.

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