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Table 3 Final model of spatial analysis of TB cure for new TB cases and socioeconomic, demographic, and epidemiological variables using the generalized additive model - GAM (N = 14,384). City of Rio de Janeiro (RJ), Brazil, 2012–2014

From: Spatial analysis of tuberculosis cure in primary care in Rio de Janeiro, Brazil

Variable Coefficient Error OR 95% CI p-value
PHC coverage 4 to 18 months 0.3101913 0.1337 1.36 1.04–1.77 0.020*
PHC coverage >35 months to 41 months 0.4972078 0.2178 1.64 1.07–2.51 0.022*
PHC coverage > 41 months 0.0982589 0.1378 1.10 0.84–1.44 0.476
Alcohol abuse (yes) −0.7423219 0.1556 0.47 0.35–0.64 < 0,001*
Complete Primary Schooling 0.1327906 0.1345 1.14 0.87–1.48 0.323
Complete Secondary Schooling 0.5474371 0.1454 1.72 1.30–2.29 < 0,001*
University 0.4809512 0.2641 1.61 0.96–2.71 0.068.
Contact Search (yes) 0.6972460 0.1273 2.00 1.56–2.57 < 0,001*
Positive HIV serology (yes) −1.1426839 0.1470 0.31 0.23–0.42 < 0,001*
Supervised treatment (yes) 0.1781498 0.1271 1.19 0.93–1.53 0.160
Age group 0 to 25 years 0.0005724 0.1332 1.00 0.77–1.29 0.996
Age group > 50 to 80 years 0.3062125 0.1339 1.35 1.04–1.76 0.022*
Age group > 80 years −1.1596947 0.5508 0.31 0.10–0.92 0.035*
Elderly rate 2.2402193 1.1253 9.39 1.03–85.26 0.046*
  1. SOURCE: Municipal databases, SINAN (DATASUS/MS) and IBGE, 2010. Updated 10 January 2016
  2. Deviance: 9.16%; AIC/UBRE: −0.049082
  3. Abbreviations: OR odds ratio, 95% CI 95% confidence interval; p-value - significance level
  4. * Statistical significance p < 0.05