OBJECTIVE: To identify the patterns of São Paulo state municipalities, in Brazil, regarding the relationship between tuberculosis and indicators of health care services, health care service availability, context, and social inequality. METHODS: This ecological study covered all 645 municipalities of São Paulo and eight variables belonging to three dimensions: health care service availability, context, and social inequality. Data were analyzed using hierarchical and non-hierarchical clustering, principal components analysis, and geoprocessing. RESULTS: The analysis revealed five groups of municipalities: group 1 (117 municipalities), with similar directly observed treatment (DOT) and family health strategy (FHS) coverage, high tuberculosis incidence and death coefficients, and a low human development index (HDI); group 2 (142 municipalities), with low DOT and FHS coverage; group 3 (36 municipalities), with medium DOT and FHS coverage and high tuberculosis incidence, high demand for anti-HIV testing, and treatment dropout; group 4 (186 municipalities) with lower HDI as compared to groups 2, 3, and 5, but high FHS coverage and the lowest numbers of anti-HIV testing, tuberculosis incidence, and DOT coverage; and group 5 (164 municipalities), with better social conditions as compared to the other groups, medium FHS coverage, and higher DOT coverage. Together, the first two components selected for the study-health service availability in terms of DOT coverage indicator and social inequality indicator-explained 76.96% of the variance. In municipalities with high DOT coverage there was evidence of better organized tuberculosis control services. CONCLUSIONS: Municipalities with the highest social inequality had FHS coverage. However, without DOT, FHS seem less efficient to control tuberculosis.
OBJECTIVE: To identify the patterns of São Paulo state municipalities, in Brazil, regarding the relationship between tuberculosis and indicators of health care services, health care service availability, context, and social inequality. METHODS: This ecological study covered all 645 municipalities of São Paulo and eight variables belonging to three dimensions: health care service availability, context, and social inequality. Data were analyzed using hierarchical and non-hierarchical clustering, principal components analysis, and geoprocessing. RESULTS: The analysis revealed five groups of municipalities: group 1 (117 municipalities), with similar directly observed treatment (DOT) and family health strategy (FHS) coverage, high tuberculosis incidence and death coefficients, and a low human development index (HDI); group 2 (142 municipalities), with low DOT and FHS coverage; group 3 (36 municipalities), with medium DOT and FHS coverage and high tuberculosis incidence, high demand for anti-HIV testing, and treatment dropout; group 4 (186 municipalities) with lower HDI as compared to groups 2, 3, and 5, but high FHS coverage and the lowest numbers of anti-HIV testing, tuberculosis incidence, and DOT coverage; and group 5 (164 municipalities), with better social conditions as compared to the other groups, medium FHS coverage, and higher DOT coverage. Together, the first two components selected for the study-health service availability in terms of DOT coverage indicator and social inequality indicator-explained 76.96% of the variance. In municipalities with high DOT coverage there was evidence of better organized tuberculosis control services. CONCLUSIONS: Municipalities with the highest social inequality had FHS coverage. However, without DOT, FHS seem less efficient to control tuberculosis.
Authors: Mellina Yamamura; Marcelino Santos-Neto; Rebeca Augusto Neman dos Santos; Maria Concebida da Cunha Garcia; Jordana de Almeida Nogueira; Ricardo Alexandre Arcêncio Journal: Rev Lat Am Enfermagem Date: 2015 Sep-Oct