Political, economic, and epidemiological changes in Brazil have affected health and the health system. We used the Global Burden of Disease Study 2016 (GBD 2016) results to understand changing health patterns and inform policy responses. We analysed GBD 2016 estimates for life expectancy at birth (LE), healthy life expectancy (HALE), all-cause and cause-specific mortality, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), and risk factors for Brazil, its 26 states, and the Federal District from 1990 to 2016, and compared these with national estimates for ten comparator countries. Nationally, LE increased from 68·4 years (95% uncertainty interval [UI] 68·0-68·9) in 1990 to 75·2 years (74·7-75·7) in 2016, and HALE increased from 59·8 years (57·1-62·1) to 65·5 years (62·5-68·0). All-cause age-standardised mortality rates decreased by 34·0% (33·4-34·5), while all-cause age-standardised DALY rates decreased by 30·2% (27·7-32·8); the magnitude of declines varied among states. In 2016, ischaemic heart disease was the leading cause of age-standardised YLLs, followed by interpersonal violence. Low back and neck pain, sense organ diseases, and skin diseases were the main causes of YLDs in 1990 and 2016. Leading risk factors contributing to DALYs in 2016 were alcohol and drug use, high blood pressure, and high body-mass index. Health improved from 1990 to 2016, but improvements and disease burden varied between states. An epidemiological transition towards non-communicable diseases and related risks occurred nationally, but later in some states, while interpersonal violence grew as a health concern. Policy makers can use these results to address health disparities. Bill & Melinda Gates Foundation and the Brazilian Ministry of Health.

(1) Background: We aimed to estimate sexualized drug use (SDU) prevalence and its predictors among sexual and gender minorities. (2) Methods: We used an online and on-site survey to enroll sexual/gender minorities people between October–December/2020, and multivariate logistic regression to obtain SDU correlates. (3) Results: We enrolled 3924 individuals (280 transgender women [TGW], 3553 men who have sex with men [MSM], and 91 non-binary), 29.0% currently on pre-exposure prophylaxis (PrEP). SDU prevalence was 28.8% (95% confidence interval [CI] 27.4–30.2). TGW had 2.44-times increased odds (95%CI 1.75–3.39) of engaging in SDU compared to MSM, regardless of PrEP use. PrEP use (aOR 1.19, 95%CI 1.00–1.41), South/Southeast region (aOR 1.26, 95%CI 1.04–1.53), younger age (18–24 years: aOR 1.41, 95%CI 1.10–1.81; 25–35 years: aOR 1.24, 95%CI 1.04–1.53), white race/color (aOR 1.21, 95%CI 1.02–1.42), high income (aOR 1.32, 95%CI 1.05–1.67), binge drinking (aOR 2.66, 95%CI 2.25–3.14), >5 sexual partners (aOR 1.88, 95%CI 1.61–2.21), condomless anal sex (aOR 1.49, 95%CI 1.25–1.79), self-reported sexually transmitted infection (aOR 1.40, 95%CI 1.14–1.71), and higher perceived HIV-risk (aOR 1.37, 95%CI 1.14–1.64) were associated with SDU. (4) Conclusions: TGW had the highest SDU odds. SDU may impact HIV vulnerability among key populations and should be addressed in HIV prevention approaches.

Objective: To study the profile of hospitalizations due to COVID-19 in the Unified Health System (SUS) in Brazil and to identify factors associated with in-hospital mortality related to the disease.Methods: Cross-sectional study, based on secondary data on COVID-19 hospitalizations that occurred in the SUS between late February through June. Patients aged 18 years or older with primary or secondary diagnoses indicative of COVID-19 were included. Bivariate analyses were performed and generalized linear mixed models (GLMM) were estimated with random effects intercept. The modeling followed three steps, including: attributes of the patients; elements of the care process; and characteristics of the hospital and place of hospitalization.Results: 89,405 hospitalizations were observed, of which 24.4% resulted in death. COVID-19 patients hospitalized in the SUS were predominantly male (56.5%) with a mean age of 58.9 years. The length of stay ranged from less than 24 hours to 114 days, with a mean of 6.9 (±6.5) days. Of the total number of hospitalizations, 22.6% reported ICU use. The odds on in-hospital death were 16.8% higher among men than among women and increased with age. Black individuals had a higher likelihood of death. The behavior of the Charlson and Elixhauser indices was consistent with the hypothesis of a higher risk of death among patients with comorbidities, and obesity had an independent effect on increasing this risk. Some states, such as Amazonas and Rio de Janeiro, had a higher risk of in-hospital death from COVID-19. The odds on in-hospital death were 72.1% higher in municipalities with at least 100,000 inhabitants, though being hospitalized in the municipality of residence was a protective factor.Conclusion: There was broad variation in COVID-19 in-hospital mortality in the SUS, associated with demographic and clinical factors, social inequality, and differences in the structure of services and quality of health care.

Resumo O presente estudo tem como objetivo estimar o impacto da COVID-19 na mortalidade de idosos institucionalizados no Brasil. Foram estimados números de óbitos pela doença para o País, Unidades da Federação e Regiões, com base nas estimativas calculadas e efetuadas neste trabalho do percentual de óbitos de idosos que ocorreriam em instituições de longa permanência de acordo com os totais. Essa estimativa foi baseada em informações disponíveis para uma série de países. O percentual ponderado foi de 44,7%. Estimaram-se 107.538 óbitos de idosos nestas instituições no Brasil em 2020, por COVID-19. São previstos maiores números de óbitos na Região Sudeste (48.779 óbitos), seguida da Região Nordeste (28.451 óbitos); São Paulo é a Unidade da Federação que na estimativa será mais afetada (24.500 óbitos). Fica claro o forte impacto da COVID-19 na população idosa residente em instituições de longa permanência para idosos. As estimativas ultrapassam para o país 100 mil idosos, potencialmente os mais frágeis e vulneráveis, e são baseadas em número de óbitos totais conservador, tendo em vista outras estimativas e a situação alarmante de crescimento dos números de óbitos no Brasil.

Men who have sex with men (MSM) and transgender women (TGW) are disproportionally affected by HIV infection in Latin America. This study aims to assess pre-exposure prophylaxis (PrEP) preferences among sexual and gender minorities (SGM) and identify attributes and levels that are related to PrEP uptake and adherence, both crucial for PrEP success. We conducted a discrete choice experiment (DCE) among SGM from all Brazilian regions (September-December/2020). The survey was administered face-to-face (five Brazilian capitals) and online (entire country). We used a D-efficient zero-prior blocked experimental design to select 60 paired-profile DCE choice tasks. The total sample size was 3924 (90.5% MSM; 7.2% TGW and 2.3% non-binary or gender diverse persons). In random-effects logit models, highest levels of protection and "no side effects" were the most important attribute levels. For "presentation", injectable and implant were preferred over oral. Participants were willing to accept a 4.1% protection reduction to receive injectable PrEP or a 4.2% reduction if PrEP were taken monthly. The largest class in the latent class models was defined predominantly by the preference for the highest HIV protection level (p < 0.005). Respondents in this class also preferred no side effects, injectable and implant presentations. Higher HIV protection, no side effects, and presentation, whether injectable or implant, were the most important attributes in PrEP preferences. Protection against HIV was the most important attribute. PrEP programs should make available technologies such as long-acting presentations that could reunite the most desired attributes, thus maximizing acceptability and user-appropriateness. Unitaid.