Predictors of noncompliance to pulmonary tuberculosis treatment : an insight from South America
dc.contributor.author | Oliveira, Samanta Madeira de | pt_BR |
dc.contributor.author | Altmayer, Stephan Philip Leonhardt | pt_BR |
dc.contributor.author | Zanon, Matheus Henrique Gomes | pt_BR |
dc.contributor.author | Sidney Filho, Luziélio Alves | pt_BR |
dc.contributor.author | Moreira, Ana Luiza Schneider | pt_BR |
dc.contributor.author | Dalcin, Paulo de Tarso Roth | pt_BR |
dc.contributor.author | Garcêz, Anderson da Silva | pt_BR |
dc.contributor.author | Hochhegger, Bruno | pt_BR |
dc.contributor.author | Moreira, José da Silva | pt_BR |
dc.contributor.author | Watte, Guilherme | pt_BR |
dc.date.accessioned | 2019-01-19T02:33:36Z | pt_BR |
dc.date.issued | 2018 | pt_BR |
dc.identifier.issn | 1932-6203 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/10183/187929 | pt_BR |
dc.description.abstract | To investigate the factors associated with a higher risk of noncompliance to tuberculosis (TB) treatment in Porto Alegre, Brazil. Methods We identified 478 adult patients for this case-control study undergoing treatment for confirmed pulmonary TB. Cases (noncompliance) were defined as patients who stopped treatment for more than 30 consecutive days (n = 118). Controls were defined as all patients who completed treatment and were cured (n = 360). Factors associated with noncompliance were calculated with unadjusted and adjusted odds ratio (OR). Results The rate of noncompliance in our study was 25%. The factors of noncompliance after adjustments in the overall population were, in order of magnitude, living in an area of lower income (OR = 4.35, 95%CI: 2.50±7.58), abuse of drugs (OR = 2.73, 95%CI: 1.47±5.09), nonadherence to a previous treatment regimen (OR = 2.1, 95%CI: 1.28±3.45), and history of smoking (OR = 1.72, 95%CI: 1.00±3.00). Age, race, gender, level of education, HIV infection or diabetes status were not associated with a higher risk of noncompliance. In the subgroup of retreatment cases, poverty (OR = 2.65; 95%CI = 1.06±6.66), smoking history (OR = 2.94; 95%CI = 1.09±7.92), male gender (OR = 3.25; 95%CI = 1.32±8.0), and younger age (OR = 4.3; 95%CI = 1.15±16.07) were also associated with a higher risk of dropout. Conclusion Predictors of poor compliance to TB treatment were low income, abuse of drugs, re-treatment cases and history of smoking. | en |
dc.format.mimetype | application/pdf | pt_BR |
dc.language.iso | eng | pt_BR |
dc.relation.ispartof | PLoS ONE. San Francisco. Vol. 13, no.9 (Sept. 2018), e0202593, 10 p. | pt_BR |
dc.rights | Open Access | en |
dc.subject | Tuberculose | pt_BR |
dc.subject | Terapêutica | pt_BR |
dc.subject | Cooperação do paciente | pt_BR |
dc.subject | Fatores desencadeantes | pt_BR |
dc.subject | Tabagismo | pt_BR |
dc.subject | Transtornos relacionados ao uso de substâncias | pt_BR |
dc.subject | Pobreza | pt_BR |
dc.title | Predictors of noncompliance to pulmonary tuberculosis treatment : an insight from South America | pt_BR |
dc.type | Artigo de periódico | pt_BR |
dc.identifier.nrb | 001084037 | pt_BR |
dc.type.origin | Estrangeiro | pt_BR |
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