Comunicação terapêutica entre enfermeiros e pacientes de uma unidade hospitalar

A comunicação é uma competência diária dos enfermeiros, sendo fator determinante na relação de ajuda e indicador na avaliação dos cuidados prestados. Dessa forma, objetivou-se descrever a comunicação terapêutica entre enfermeiros e pacientes no ambiente hospitalar. Trata-se de estudo descritivo-exploratório, com abordagem quantitativa, realizado em um hospital do estado do Ceará em outubro/2007, com cinco enfermeiros, mediante observação sistemática das interações estabelecidas com os pacientes internados. Para registro dos dados utilizou-se check-list, contendo estratégias para efetivação da comunicação, segundo cada interação. Das 21 interações, algumas se direcionam exclusivamente à práticacomunicativa, como as orientações aos pacientes. Outras se referiram aos seguintes procedimentos: sondagem vesical; verificação de sinais vitais; realização de curativos; acompanhamento da evolução e trabalho de parto; punção venosa e vacinação. Do total de interações, o enfermeiro C foi o profissional que mais se comunicou de modo terapêutico (42,9%). Das demais 12 interações (57,1%), realizadas pelos enfermeiros A, B, D e E, oito foram consideradas não-terapêuticas. Dessas, o item mais utilizado foi o Uso de jargão profissional, importante fator que pode interferir negativamente no prognóstico do paciente. Os enfermeiros precisam conhecer e implementar no seu cotidiano as estratégias de comunicação terapêutica como forma de atender as necessidades dos pacientes

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

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

Characterization of the therapeutic communication of nurses in a hospital of Ceará, Brazil

Introducción: La comunicación entre las enfermeras y los pacientes en el ambiente del hospital interviene excesivamente con el proceso del tratamiento de la salud. A partir del momento que las imperfecciones, éstas se pueden identificar para mejorar la interacción y la ayuda del rol de la enfermera. Objetivo: caracterizar la comunicación terapéutica entre las enfermeras y los pacientes en el ambiente del hospital según Stefanelli. Material y método: Estudio descriptivo cuantitativo en un hospital del Ceará, Brasil en junio/2007. Los ciudadanos del estudio habían sido cinco enfermeras. El comentario de 21 interacciones establecidas entre las enfermeras y los pacientes fue ejecutado. Para los registros de los datos uso diario del campo y instrumento adaptado del Stefanelli. Resultados: El artículo no-terapéutico había estado presente en las interacciones de la mayoría de las enfermeras, ocurriendo 32 veces durante las 21 interacciones. Intento el hecho de eso, el artículo usado era más el uso de la jerga profesional. La comunicación unidireccional ocurrió con frecuencia. Conclusiones: Las enfermeras se comunican de forma poco eficiente y no dirigida durante las interacciones que establecen con los pacientes del hospital.Introduction: The communication between nurses and patients in the hospital environment excessively intervenes with the process of treatment of the health. From the moment that imperfections, these can be identified to improve the interaction and the assistance of nursing. Aims: To characterize the therapeutical communication between nurses and patients in the hospital environment according to estimated of Stefanelli. Material and Method: Study description with carried through quantitative boarding in a hospital of the state of the Ceará in julho/2007. The citizens of the study had been five nurses. Comment of 21 interactions established between nurses and patients was carried through. For the registers of the data a suitable instrument's Stefanelli was used daily of field. Results: The not-therapeutical's item had been gifts in the interactions of the majority of the nurses, occurring 32 times during the 21 interactions. Intent it the fact of that, the used item more was the use of professional jargon. The unidirectional communication occurred frequently. Conclusions: The nurses if communicate little of efficient and not directed form during the interactions that establish with the patients of the hospital.Introdução: A comunicação entre enfermeiros e pacientes no ambiente hospitalar interfere sobremaneira no processo de tratamento e reestabelecimento da saúde. A partir do momento que existem falhas, essas possam ser identificadas para aprimorar a interação e a assistência de enfermagem. Objetivo: Caracterizar a comunicação terapêutica entre enfermeiros e pacientes no ambiente hospitalar segundo os pressupostos de Stefanelli (1993). Materiais e Métodos: Estudo descritivo-exploratório, com abordagem quantitativa realizado em um hospital do estado do Ceará em julho/2007. Os sujeitos do estudo foram cinco enfermeiros. Foi realizada observação de 21 interações estabelecidas entre enfermeiros e pacientes. Para os registros dos dados utilizou-se um diário de campo e o instrumento adaptado de Stefanelli. Resultados: Os itens não-terapêuticos estiveram presentes nas interações da maioria dos enfermeiros, ocorrendo 32 vezes durante as 21 interações. Atenta-se ao fato de que, o item mais utilizado foi o uso de jargão profissional. A comunicação unidirecional ocorreu com freqüência. Considerações finais: Os enfermeiros se comunicam de forma pouco eficaz e não direcionada durante as interações que estabelecem com os pacientes da instituição

Rock n' Seeds: A database of seed functional traits and germination experiments from Brazilian rock outcrop vegetation

Advancing functional ecology depends fundamentally on the availability of data on reproductive traits, including those from tropical plants, which have been historically underrepresented in global trait databases. Although some valuable databases have been created recently, they are mainly restricted to temperate areas and vegetative traits such as leaf and wood traits. Here, we present Rock n' Seeds, a database of seed functional traits and germination experiments from Brazilian rock outcrop vegetation, recognized as outstanding centers of diversity and endemism. Data were compiled through a systematic literature search, resulting in 103 publications from which seed functional traits were extracted. The database includes information on 16 functional traits for 383 taxa from 148 genera, 50 families, and 25 orders. These 16 traits include two dispersal, six production, four morphological, two biophysical, and two germination traits-the major axes of the seed ecological spectrum. The database also provides raw data for 48 germination experiments, for a total of 10,187 records for 281 taxa. Germination experiments in the database assessed the effect of a wide range of abiotic and biotic factors on germination and different dormancy-breaking treatments. Notably, 8255 of these records include daily germination counts. This input will facilitate synthesizing germination data and using this database for a myriad of ecological questions. Given the variety of seed traits and the extensive germination information made available by this database, we expect it to be a valuable resource advancing comparative functional ecology and guiding seed-based restoration and biodiversity conservation in tropical megadiverse ecosystems. There are no copyright restrictions on the data; please cite this paper when using the current data in publications; also the authors would appreciate notification of how the data are used in publications