[Tuberculosis and social inequity in health: an ecological study using multivariate statistical techniques, São Paulo, Brazil]

Rev Panam Salud Publica. 2014 Apr;35(4):270-7.
[Article in Portuguese]

Abstract

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.

Publication types

  • English Abstract
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brazil / epidemiology
  • Healthcare Disparities / statistics & numerical data*
  • Humans
  • Multivariate Analysis
  • Socioeconomic Factors
  • Tuberculosis / epidemiology*