alexa Predictive model to the tuberculosis treatment abandonment
Pulmonology

Pulmonology

Journal of Clinical Respiratory Diseases and Care

Author(s): Silva EA, Anjos UU, Nogueira JA

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This study Aimed to build a predictive model taking the variables explanatory characteristics of the Individuals with tuberculosis are to define the most Appropriate treatment. A descriptive observational research of quantitative approach was applied. The target population (n = 1925) was collected from the Reportable Diseases Information System of João Pessoa-PB, Brazil, between 2001 and 2008. In the late model odds ratio (OR) The Following treatment quitting risk variables Were Considered: education in high school (OR = 1:56) and in college (OR = 42.99), race (OR = 2.29) and re-entry after quitting (OR = 2.71). The decision-making process shouldnt be directed to the best fit model in order to identify Likely-to-quit-treatment Individuals.

This article was published in Health Debate and referenced in Journal of Clinical Respiratory Diseases and Care

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