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

BMC Public Health

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

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*

SOURCE: Municipal databases, SINAN (DATASUS/MS) and IBGE, 2010. Updated 10 January 2016
Deviance: 9.16%; AIC/UBRE: −0.049082
Abbreviations: OR odds ratio, 95% CI 95% confidence interval; p-value - significance level
^* Statistical significance p < 0.05

ISSN: 1471-2458