Fatores associados à cura dos casos de tuberculose notificados no município de Mesquita

• Autor(a) principal: Silva, Thiago Wendel Gonzaga da
• Data de Publicação: 2020
• Outros Autores: [e-mail]
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/18218
• topic: Primary Health Care; Tuberculosis; Nursing; Treatment; Atenção Primária à Saúde; Tuberculose; Enfermagem; Tratamento; CIENCIAS DA SAUDE::ENFERMAGEM::ENFERMAGEM DE SAUDE PUBLICA

Introduction: Tuberculosis (TUBERCULOSE) is an endemic disease that has been present as a public health problem in Brazil throughout the twentieth century, and continues until today. The incidence of TUBERCULOSE cases increases due to the high rate of treatment abandonment, as it is a long treatment, and its main difficulties to obtain a cure, making the disease a major public health problem. The general objective of analyzing the factors associated with the cure of tuberculosis cases reported in the municipality of Mesquita, Rio de Janeiro, from 2007 to 2017. Among the specific objectives are: to describe the sociodemographic variables of tuberculosis cases reported in the municipality. of mosque; To analyze the epidemiological clinical profile of tuberculosis cases in the municipality of Mesquita and to identify factors related to the cure outcome of tuberculosis in Mesquita. Methods: This is a cross-sectional epidemiological study, with data from tuberculosis cases reported in the Notification Disease Information System (SINAN), in the municipality of Mesquita, with emphasis on Primary Care units. The study cutoff was ten years, from 2007 to 2017. The study population will be composed of all tuberculosis cases reported in SINAN. The chi-square test was used to assess differences between proportions. For all analyzes, a significance level of 5% was considered. After adjusting simple logistic models, a stepwise backward manual procedure was performed to estimate the multiple logistic model. For the selection of variables and for comparison between models, the likelihood ratio test (through residual deviance) and the Akaike information criterion (AIC) were used. Finally, in order to verify the quality of the adjusted logistic regression model, we used the Hosmer and Lemeshow statistical test, and graphical analysis of residues. All analyzes were performed using the statistical software R version 3.6.1. Results: of the 1895 cases reported, the following factors were associated with a greater chance of cure of TUBERCULOSE: female gender (OR 1.31; 95% CI 0.928; 1.851); higher education category (OR 6,789; 95% CI 1,937; 2,380) and high school (OR 6,317; 95% CI 2,816; 1,417); HIV negative (OR 1; 95% CI 1,729; 5,072) and the pulmonary form of tuberculosis (OR 0,655 95% CI 0.154; 2,789). Conclusion: social and economic determinants that influence the outcome of treatment were identified, highlighting the need for social support and ensuring access to health services.