Evaluación de la calidad de protocolo clínico para atención en planificación familiar de personas viviendo con VIH/sida

Objetivo: Avaliar a qualidade de protocolo clínico para atendimento em planejamento familiar de pessoas vivendo com HIV/aids. Método: Pesquisa avaliativa realizada com base nos seis domínios do Appraisal of Guideline for Research & Evaluation II e no Coeficiente de Variação de Pearson. Resultados: O protocolo alcançou entre 88,8% e 100,0% de qualidade nos domínios do Appraisal of Guideline for Research & Evaluation II e 93,3% na avaliação global. Obteve-se coeficiente de variação de Pearson entre zero e 18,6. Uma vez que se adotou percentual mínimo de 70,0% à qualidade atribuída pelos avaliadores, conferiu-se qualidade em todos os domínios do Appraisal of Guideline for Research & Evaluation II. Com o coeficiente em todos os domínios inferior a 25%, infere-se que as pontuações atribuídas pelos avaliadores foram lineares ou homogêneas, significando elevada concordância entre eles. Conclusão: O protocolo foi avaliado como instrumento de qualidade, recomendado para uso por profissionais de saúde que lidam com o planejamento familiar de pessoas vivendo com HIV/aids.Objective: To evaluate the quality of a clinical protocol for family planning care for people living with HIV/AIDS. Method: An evaluative study based on the six domains of the Appraisal of Guidelines for Research & Evaluation II and on Pearson's Coefficient of Variation. Results: The protocol reached between 88.8% and 100.0% quality in the domains of the Appraisal of Guidelines for Research & Evaluation II and 93.3% in the overall evaluation. The obtained Pearson's coefficient of variation was between zero and 18.6. Considering that a minimum percentage of 70.0% was adopted for the quality attributed by the evaluators, quality has been achieved for all domains of the Appraisal of Guidelines for Research & Evaluation II. As a coefficient for all domains was less than 25%, we can infer that the scores attributed by the evaluators were linear or homogeneous, meaning high agreement between them. Conclusion: The protocol was evaluated as a quality instrument, recommended for use by health professionals who deal with family planning for people living with HIV/AIDS.Objetivo: Evaluar la calidad de protocolo clínico para atención en planificación familiar de personas viviendo con VIH/SIDA. Método: Investigación evaluativa llevada a cabo con base en los seis dominios del Appraisal of Guideline for Research & Evaluation II y en el Coeficiente de Variación de Pearson. Resultados: El protocolo alcanzó entre el 88,8% y el 100,0% de calidad en los dominios del Appraisal of Guideline for Research & Evaluation II y el 93,3% en la evaluación global. Se logró el coeficiente de variación de Pearson entre cero y 18,6. Toda vez que se adoptó porcentual mínimo del 70,0% a la calidad atribuida por los evaluadores, se verificó calidad en todos los dominios del Appraisal of Guideline for Research & Evaluation II. Con el coeficiente inferior al 25% en todos los dominios, se infiere que los puntajes atribuidos por los evaluadores fueron lineales y homogéneos, significando elevada concordancia entre ellos. Conclusión: El protocolo fue evaluado como instrumento de calidad, recomendado para empleo por profesionales sanitarios que manejan la planificación familiar de personas viviendo con VIH/SIDA

Uso seguro de anticoncepcionais hormonais injetáveis segundo critérios médicos de elegibilidade / Safe use of injectable hormonal contraceptives according to medical eligibility criteria

Objetivo: Classificar usuárias de anticoncepcionais hormonais injetáveis (AHI) quanto ao uso seguro segundo os critérios médicos de elegibilidade da Oraganização Mundial da Saúde (OMS) e verificar a associação entre tipo de injetável e tempo de uso com o uso seguro. Métodos: Estudo transversal, descritivo e exploratório. A população foi composta pelas 52 usuárias de AHI. Os dados foram coletados por meio de entrevista, que seguiu formulário elaborado pelas autoras, sendo identificado fatores que contraindicassem ou indicassem o uso do método, classificando-as em categorias de 1 a 4. O Projeto foi aprovado pelo Comitê de ética e pesquisa da Universidade Federal do Ceará, CAEE:36668314.3.0000.5054. Resultados:Foram identificadas 44 (84,7%) mulheres em uso seguro e 8 (15,3%) inseguro. Usuárias há mais de um ano tiveram uma frequência maior de uso inseguro (p=0,001). Conclusão: Seguir as recomendações da OMS deve ser rotina nas cosultas de enfermagem visando à proteção e segurança da mulher.

Assessment of risk scores to predict mortality of COVID-19 patients admitted to the intensive care unit

ObjectivesTo assess the ABC2-SPH score in predicting COVID-19 in-hospital mortality, during intensive care unit (ICU) admission, and to compare its performance with other scores (SOFA, SAPS-3, NEWS2, 4C Mortality Score, SOARS, CURB-65, modified CHA2DS2-VASc, and a novel severity score).Materials and methodsConsecutive patients (≥ 18 years) with laboratory-confirmed COVID-19 admitted to ICUs of 25 hospitals, located in 17 Brazilian cities, from October 2020 to March 2022, were included. Overall performance of the scores was evaluated using the Brier score. ABC2-SPH was used as the reference score, and comparisons between ABC2-SPH and the other scores were performed by using the Bonferroni method of correction. The primary outcome was in-hospital mortality.ResultsABC2-SPH had an area under the curve of 0.716 (95% CI 0.693–0.738), significantly higher than CURB-65, SOFA, NEWS2, SOARS, and modified CHA2DS2-VASc scores. There was no statistically significant difference between ABC2-SPH and SAPS-3, 4C Mortality Score, and the novel severity score.ConclusionABC2-SPH was superior to other risk scores, but it still did not demonstrate an excellent predictive ability for mortality in critically ill COVID-19 patients. Our results indicate the need to develop a new score, for this subset of patients

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

Geography and ecology shape the phylogenetic composition of Amazonian tree communities

AimAmazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types.LocationAmazonia.TaxonAngiosperms (Magnoliids; Monocots; Eudicots).MethodsData for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran's eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny.ResultsIn the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R2 = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R2 = 28%). A greater number of lineages were significant indicators of geographic regions than forest types.Main ConclusionNumerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions

Mapping density, diversity and species-richness of the Amazon tree flora

Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution

Geography and ecology shape the phylogenetic composition of Amazonian tree communities

Aim: Amazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types. Location: Amazonia. Taxon: Angiosperms (Magnoliids; Monocots; Eudicots). Methods: Data for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran\u27s eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny. Results: In the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R$^{2}$ = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R$^{2}$ = 28%). A greater number of lineages were significant indicators of geographic regions than forest types. Main Conclusion: Numerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions

Educomunicação e suas áreas de intervenção: Novos paradigmas para o diálogo intercultural

oai:omp.abpeducom.org.br:publicationFormat/1O material aqui divulgado representa, em essência, a contribuição do VII Encontro Brasileiro de Educomunicação ao V Global MIL Week, da UNESCO, ocorrido na ECA/USP, entre 3 e 5 de novembro de 2016. Estamos diante de um conjunto de 104 papers executivos, com uma média de entre 7 e 10 páginas, cada um. Com este rico e abundante material, chegamos ao sétimo e-book publicado pela ABPEducom, em seus seis primeiros anos de existência. A especificidade desta obra é a de trazer as “Áreas de Intervenção” do campo da Educomunicação, colocando-as a serviço de uma meta essencial ao agir educomunicativo: o diálogo intercultural, trabalhado na linha do tema geral do evento internacional: Media and Information Literacy: New Paradigms for Intercultural Dialogue

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