Saúde do trabalhador e gestão dos processos de trabalho: reflexões acerca de arranjos possíveis em meio à crise pandêmica

Since its first appearance in China in December 2019, the new coronavirus, or SARS Cov-2, has rebelled against the greatest public health emergency ever faced by the community. internationally over the last hundred years. In addition to concerns about the physical health of the population, mental health has become the focus of many studies and care and prevention actions. In this work, we used the methodology of participant observation to present the innovations implemented by a Health Care Service for Education Workers, as a way of coping with the difficult context of risks and uncertainties experienced over the years. years 2020 and 2021. Among the actions of the Department of Health Care (DASS/FME), Conversation Circles were offered on the mental health of Network servers Municipal Education of Niterói, Collective Spaces for sharing experiences, knowledge and narratives, as a way of providing support and strengthening to groups in the units network schools. The Conversation Circles ended up raising a whole set of questions which, during the process of resuming face-to-face activities, shed light on the dimension of discretion of the agents located at the end of the services, as well as their potential for qualify the formulation of public policies. This work seeks to draw bridges between health servers and the management of work processes, finally suggesting the potential formative and therapeutic effect of workers' participation in management decision-making.Desde sua primeira aparição, na China, em dezembro de 2019, o novo coronavírus, ou SARS Cov-2, rebelou a maior emergência de saúde pública já enfrentada pela comunidade internacional nos últimos cem anos. Para além das preocupações quanto à saúde física da população, a saúde mental tornou-se foco de muitos estudos e ações de cuidado e prevenção. Neste trabalho, lançamos mão da metodologia da observação participante para apresentar as inovações implementadas por um serviço de Atenção à Saúde de Trabalhadores da Educação, como forma de enfrentamento ao difícil contexto de riscos e incertezas vivenciado ao longo dos anos de 2020 e 2021. Entre as ações do Departamento de Atenção à Saúde do Servidor (DASS/FME), foram oferecidas Rodas de Conversa sobre a saúde mental de servidores da Rede Municipal de Educação de Niterói, Espaços Coletivos de compartilhamento de experiências, saberes e narrativas, como modo de fornecer apoio e fortalecimento aos grupos das unidades escolares da rede. As Rodas de Conversa acabaram por levantar todo um conjunto de questões que, durante o processo de retomada às atividades presenciais, lançaram luz sobre a dimensão de discricionariedade dos agentes situados na ponta dos serviços, bem como seu potencial para qualificarem a formulação de políticas públicas. Este trabalho busca traçar pontes entre saúde mental de servidores e a gestão dos processos de trabalho, sugerindo por fim o potencial formativo e terapêutico da participação dos trabalhadores nas tomadas de decisão pela gestão

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Avaliação econômica em saúde: triagem neonatal da galactosemia Newborn screening for galactosemia: a health economics evaluation

Este trabalho avalia a eficiência da adição do exame da galactosemia junto ao Teste do Pezinho. Baseado na incidência média estimada de galactosemia, de 1:19.984 recém-nascidos, no Estado de São Paulo, Brasil, este estudo desenvolve um modelo de análise de custo-benefício, utilizando a relação benefício/custo (B/C), a taxa de juros de 9,25% ao ano para descapitalização dos resultados obtidos. Também se realiza uma análise de sensibilidade, em função da variação da taxa de juros entre 0 e 20% e do intervalo de 95% de confiança da incidência da galactosemia (1:7.494 a 1:59.953 recém-nascidos). A economia obtida com a melhora da saúde das crianças doentes identificadas precocemente é superior aos custos (B/C = 1,33), caracterizando como eficiente a política de adição do exame neonatal para galactosemia no Teste do Pezinho. Quanto menor a taxa de juros vigente na economia, mais eficiente é a política de triagem neonatal, não considerados os custos sociais intangíveis evitados.<br>This study assesses the efficiency of the galactosemia add-on test in neonatal screening performed on regular Guthrie card blood spots. Based on estimated average incidence of galactosemia (1:19,984 newborns) in São Paulo State, Brazil, the study develops a cost-benefit analysis model, using a B/C ratio and a 9.25% annual interest rate in order to decapitalize the results. Sensitivity analysis is also performed, varying (as a function of the interest or discount rate) from 0 and 20% and according to the 95% confidence interval (1:7,494-1:59,953 newborns). The results show that the savings obtained by improved health of galactosemic patients detected early by add-on neonatal screening is superior to the costs (B/C=1.33), characterizing galactosemia add-on testing in neonatal screening as an efficient policy. The lower the prevailing interest rate in the economy, the more efficient the neonatal screening policy