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Objective: To identify reasons among Brazilian women for never having a Pap test., Design: We designed a cross-sectional study that used data from the National Health Survey., Sample: Two thousand four hundred and two women 25-64 years old who never had a pap test., Measures: Variables were age, race, education, marital status, housing condition, primary health care access, health insurance, self-perceived health, and social support network. We calculated the prevalence of different reasons and odds ratios for each., Results: The most frequent reason for never having a test were linked to women thinking the test was unnecessary (42.3%) which had a significant association with marital status (OR = 1.52; 95% CI = 1.07-1.91), age (OR = 1.56; 95% CI = 1.21-1.99), area of residence (OR = 1.15; 95% CI = 1.02-1.39), having a health insurance (OR = 1.18; 95% CI = 1.01-1.36), and self-perceived health (OR = 1.42; 95% CI = 1.28-1.56). The second most frequent reason was not knowing they needed a test (22.9%) which was associated with age (OR = 1.95; 95% CI = 1.74-2.16) and self-perceived health (OR = 1.56; 95% CI = 1.33-1.80)., Conclusions: The findings suggest lack of knowledge about cervical cancer and its prevention among Brazilian women. We consider it essential that the health service can provide the test, as well as the necessary guidelines for raising the awareness of the target audience., (© 2021 Wiley Periodicals LLC.)

To describe the trends of HIV/AIDS metrics related to the burden of disease for Brazil between 1990 and 2017 we conducted a timeseries analysis for HIV/AIDS indicators by extracting data from the Global Burden of Disease study. We calculated traditional prevalence, incidence and mortality rates, the number of years lost by HIV-related deaths (YLL) and disability (YLD), and disability-adjusted life years (DALY). We estimated time series models and assessed the impact of highly active antiretroviral therapy (HAART) on the same indicators. In the set of disability-adjusted life years (DALY), the highest weight of its magnitude was due to YLL. There was a decline, especially after 1996, of DALY, mortality and YLL for HIV/AIDS. However, YLD, incidence, and prevalence increased over the same period. Also, the analysis of interrupted time series showed that the introduction of HAART into health policy had a significant impact on indicators, especially for DALY and YLL. We need to assess the quality of life of people living with HIV, especially among older adults. In addition, we need to focus on primary prevention, emphasizing methods to avoid infection and public policies should reflect this.