17 research outputs found
Developing a low cost model for chest drainage simulate training
Objetivo: Descrever a construção de um simulador de baixo custo de drenagem torácica para capacitar a realização deste procedimento. Métodos: A concepção do modelo se deu em 2014 por integrantes do Programa de Educação Tutorial do curso de Medicina da UNIFOR. A seguir, o modelo foi testado por 10 especialistas e posteriormente aprovado para ser aplicado em quatro edições de um curso teórico-prático de procedimentos invasivos com acadêmicos de Medicina de diferentes universidades. Para avaliar o simulador e o desempenho no seu uso, aplicou-se questionários semiestruturados e checklist. Os dados foram analisados pelo Statistical Package for the Social Sciences v. 22 usando estatística descritiva. Resultados: Usou-se um manequim plástico comercial em que foi realizado um corte de 8x8 cm na região lateral do tórax, correspondente ao local da drenagem. Neste local, foram posicionadas folhas de E.V.A. (simulando pele e músculos intercostais), esponja de estofado (subcutâneo) e folha de PVC (pleura). Na parte interna do manequim foi colocada uma estrutura de madeira contendo duas costelas e, entre elas, um copo plástico recoberto por E.V.A. contendo líquido vermelho (simulando um hemotórax). O custo inicial do modelo completo foi de R 21,00. Quando testado por especialistas, todos concordaram que o modelo pode ser usado para o ensino na graduação. Durante o curso de procedimentos invasivos, 129 acadêmicos realizaram o procedimento, em que 64,3% dos alunos inseriram corretamente o dreno e 79,1% conectaram ao sistema de drenagem. Apesar de um percentual de erros importante visto em passos iniciais básicos, os alunos conseguiram executar a técnica proposta de forma suficiente. Conclusão: O simulador de drenagem de tórax mostrou-se ser de fácil acesso e reprodução nas universidades, o que o torna uma ferramenta útil para o ensino.Objective: To describe the construction of a low-cost simulator of chest drainage for the training of undergraduate medical students. Methods: The model was conceived in 2014 by members of the Tutorial Education Program - UNIFOR. It was tested by 10 specialists and approved for application in four editions of a theory and practice course on invasive procedures with medical students from different universities. To evaluate the simulator and its performance, semi-structured questionnaires and checklists were applied. Data were analyzed in the Statistical Package for the Social Sciences v. 22, using descriptive statistics. Results: A commercial mannequin was used to build the model. An 8 x 8 cm square cut was made in the lateral wall of the chest. Inside this region, EVA sheets (simulating skin and intercostal muscles), foam padding (subcutaneous tissue) and transparent PVC sheet (pleura) were placed. In the inner part of the mannequin, a wooden structure containing two ribs was constructed and a plastic cup containing red-dyed water was placed between the two ribs. The complete model had an initial cost of R 21,00. The medical specialists agreed (100%) that it can be used for undergraduate teaching. During the course on invasive procedures, 129 students performed the procedure; 64.3% of them were able to correctly insert the drain and 79.1% connected it to the drainage system. Despite of the high percentage of errors in basic initial steps, the students were able to execute the technique satisfactorily. Conclusion: The low-cost chest drainage simulator was easy to access and to reproduce in universities, which makes it an important tool for teaching
Influence Of The Conditioning Factors Of Cardiac Transplant Patients To The Self-Care Engagement Profile
Abuso de Substâncias e Emergências Psiquiátricas: Avaliação Integrada e Intervenções Eficazes
Objective: Emphasize the importance of an integrated approach in addressing these issues, focusing on personalized and effective interventions. Methodology: A comprehensive review of scientific literature was conducted using databases such as PubMed, Latindex, and Scielo to identify relevant studies on substance abuse in psychiatric emergency contexts using MeSH Finder: "Nerve Agents"; "Neurotransmitter Agents"; "Mental Health". Results: The focus is on personalized interventions, such as specific therapies and emotional support, highlighting the importance of ongoing education and community involvement for prevention and recovery. The ultimate goal is to promote well-being through a multidisciplinary approach in complex situations. Conclusion: Collaboration between mental health and specialists is essential to address substance abuse and psychiatric emergencies. Personalized interventions, continuous education, and community involvement are crucial for prevention and recovery, aiming to promote well-being in complex situations.Objetivo: Destacar a importância da abordagem integrada na avaliação desses problemas, enfocando intervenções personalizadas e eficazes. Metodologia: Realizou-se uma revisão abrangente da literatura científica utilizando bases de dados, como PubMed, Latindex e Scielo, para identificar estudos relevantes sobre abuso de substâncias em contextos de emergências psiquiátricas utilizando os MeSH Finder: “Nerve Agents”; “Neurotransmitter Agents”; “Mental Health”. Resultados: O foco recai sobre intervenções personalizadas, como terapias específicas e apoio emocional, enquanto ressalta a importância da educação contínua e do envolvimento da comunidade para prevenção e recuperação. O objetivo final é promover o bem-estar por meio de uma abordagem multidisciplinar em situações complexas. Conclusão: A colaboração entre saúde mental e especialistas é essencial para enfrentar abuso de substâncias e emergências psiquiátricas. Intervenções personalizadas, educação contínua e envolvimento comunitário são cruciais para prevenção e recuperação, visando promover o bem-estar em situações complexas
Influence Of The Conditioning Factors Of Cardiac Transplant Patients To The Self-Care Engagement Profile
Background: This study aimed to identify the conditioning factors that influence the self-care practice of heart transplant patient after discharge and relate the conditioning factors to the Engagement Profile of Self Care.
Methods: Cross-sectional study, undertaken at a transplantation unit of one public hospital, in Fortaleza-Ceará. There was the participation of 63 heart transplant patients.
Results: The majority of the patients were men (88.9%), aged 40-59 years (68.3%), catholic (81.0%), married (77.8%), elementary school (71, 4%), retired or not working (82.5%); income below minimum wage (47, 6%); diagnosis to transplantation was chagasic cardiomyopathy (28.6%), post-transplant time between one and three years (39.7%). The determinant for self-care had significant difference (p<0.05) was the time of transplantation, because patients who have higher scores on Engagement Profile Self-Care had performed transplantation between 3 and 5 years.
Conclusion: The professional team of heart transplant should consider the conditioning factors of patients transplanted cardiac in establishing strategies for promoting self-care
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
Qualidade de vida de indivíduos com HIV: revisão integrativa / Quality of living of individuals with HIV integration review
A qualidade de vida de pacientes vivendo com HIV/AIDS é essencial, tendo em vista o caso específico dos adolescentes é ainda mais importante porque o jovem além de lidar com a resistência e a aceitação da doença, deve também enfrentar os conflitos da puberdade.O presente trabalho tem como objetivo realizar uma revisão integrativa em relação a qualidade de vida dos pacientes com HIV. Trata-se de um estudo de revisão integrativa realizado no período de 2016 a 2017, utilizando-se o banco de dados Medline e Lilacs. Apesar do impacto da infecção pelo HIV/AIDS na saúde psicológica e nas relações sociais dos indivíduos infectados, assim como no domínio físico, o uso da TARV provocou consequências positivas na saúde psicológica, proporcionando a desconstrução da ideia de morte advinda ao diagnóstico de portador do HIV/AIDS e a construção de melhores perspectivas de vida. A adesão ao tratamento em HIV/AIDS está relacionada a um aumento da sobrevida e de sua qualidade. Porém deve-se respeitar a posição pessoal do portador para fazer ou não o tratamento
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
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