Objetivo: Avaliar, com dados de mundo real, hospitalizações por influenza e potencialmente relacionadas à influenza e seus custos associados em uma autogestão do Sistema de Saúde Suplementar do Brasil. Métodos: Estudo retrospectivo na base de dados de uma autogestão, de setembro/2016 a agosto/2019, para avaliar o perfil de hospitalizações por três grupos de doença: influenza/pneumonia, outras doenças respiratórias e doenças cardiovasculares. Foram extraídos números absolutos de hospitalizações para cada grupo, assim como taxas de hospitalização, de re-hospitalização, custos totais e custo médio por paciente. Resultados: Foram registradas 1.047 hospitalizações por influenza/pneumonia, 148 por outras doenças respiratórias e 1.773 por doenças cardiovasculares. A maior taxa de hospitalização ocorreu para doenças cardiovasculares, seguida por influenza/pneumonia. Foram gastos R$ 54,5 milhões, R$ 32,4 milhões e R$ 4,1 milhões com hospitalizações relacionadas a doenças cardiovasculares, influenza/pneumonia e outras doenças respiratórias, respectivamente. O maior custo médio por hospitalização, por paciente, foi observado para influenza/pneumonia (R$ 30.952), seguido por doenças cardiovasculares (R$ 30.740) e outras doenças respiratórias (R$ 27.661). Houve um maior número de hospitalizações no grupo com 65 anos ou mais, assim como maiores custos, representando 81,6% a 92,0% do custo total de hospitalizações para todas as faixas etárias. Conclusões: Influenza e doenças potencialmente relacionadas a ela, que incluem doenças respiratórias e cardiovasculares, são responsáveis por impactos clínicos e econômicos relevantes, com maiores custos associados às faixas etárias mais altas. Intervenções para minimizar o impacto da influenza, como vacinação, são de extrema relevância para a redução dos custos associados e devem ser consideradas pelos gestores.

comprehensive epidemiological understanding of SARS-COV-2 (COVID-19) symptoms, clustering and resolution; (2) provide data on the impact of both infection and the pandemic on people's lives; and (3) offer a full understanding of treatment benefit in studies designed to treat or vaccinate against COVID-19. Methods: A review of the literature (March 2020) used COVID-19 and signs, symptoms and impacts search terms. A preliminary conceptual model was developed and novel PRO items were drafted. A review of social media (June 2020) informed an updated conceptual model and PRO items. Joint concept elicitation-cognitive interviews were completed with people who had experienced COVID-19 (June-July 2020). Results: The literature (25 articles), social media (.200 million mentions) and interviews (n=10) highlighted a heterogenous list of signs, symptoms and impacts of COVID-19 infections, and a broad list of impacts of the pandemic in general. Novel PROs are intended to be comprehensive, so the incidence and severity of 42 signs and symptoms are measured. Fifteen additional items ask about the impact of infection (physical, emotional and social) and 18 about the impact of the pandemic. The PRO is adaptive (modular) to allow administration to people with and without COVID-19 infection. Weekly-and daily-recall versions were tested in cognitive interviews resulting in adjustments to ensure understandability. Conclusions: Novel content-valid PROs have been developed to measure the signs, symptoms and impacts of COVID-19 pandemic and infection. These are currently being employed in a large longitudinal study to evaluate their psychometric measurement properties.

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Conclusions: suicide is an important cause of burden in the young population. Mental health promotion with a focus in the social determinants of health should be public health priority in this population.

e13610 Background: Cancer is the second leading cause of death worldwide. From 2014 to 2015 Brazil estimated more than 500,000 new cases of cancer, which placed the country among those with the highest cancer incidence. This study evaluates the 10-year evolution of mortality rates due to all causes and cancer and to estimate the potential years of life lost (PYLL) in beneficiaries of health plan, according to sex, age and geographic region. Methods: Retrospective cross-sectional, descriptive study evaluated the causes of death, between 2008 and 2017, by sex and age groups, for all causes (AC) and cancer (CA) data from the health insurance system. The information on the death certificates (DC) was coded according to the ICD-10. Age was stratified into groups: up to 49 years, 50–59 years, 60–69 years, 70–79 years and 80 years or more. Data were analyzed by checking the proportions and mortality rates (MR), grouped into two five-year periods, 2008-2012 (P1) e 2013-2017 (P2). Annual MR per 100,000 population was estimated using the direct method and proportional mortality rates (PMR). To calculate the potential years of life lost (PYLL) the upper limit was 76 years old. The avoidable MR was also analyzed for individuals up to 75 years and cancer. Microsoft Excel v2010 and Qlik Sense v13.21 were used to analyze data and statistics. Results: 5,779 deaths were analyzed, 4,447 in men (77.0%, average 70.1 years) and 1,332 women (33%, 75.9 years). Cancer was the second leading cause of death (n = 953, PMR 16.5%), behind cardiovascular disease (n = 1,662 PMR 28.8%). The major crude death rate per 100,000 was due circulatory system diseases (347), followed by cancer (199) and respiratory system diseases (110). The highest cancer MR were in men, elderly and Brazilian regions with the lowest Human Development Index (HDI). Greatest number of deaths in men at P1 were from cancers of lung (CMP 19.8%), prostate (14.2%) and pancreas (8.0%). At P2, prostate (18.2%), lung (16.8%) and stomach (7.6%). In women, during P1, breast (20.2%), lung (13.1%) and pancreas (83%), and during P2, the same order, 22.5%, 14.6% and 9.3%, respectively. Cancer accounted for a total of 6,335 PYLL and 40.9% of causes of death were classified as avoidable. Conclusions: Cancer was one of the leading causes of mortality during the study. High pancreatic cancer MR differs from national statistics, requiring more analysis that involves possible occupational exposure. Although preventive actions for healthy life habits, early screening and diagnosis, Brazil presents high cancer mortality rates as showed in this analysis.