AUTOGESTIÓN DE LOS SÍNTOMAS ASOCIADOS CON EL TRATAMIENTO DE QUIMIOTERAPIA EN PERSONAS CON ENFERMEDAD ONCOLÓGICA

La quimioterapia se destaca como uno de los principales enfoques terapéuticos para el tratamiento contra el cáncer, que causa efectos secundarios en los pacientes que necesitan aprender a tratar. Por lo tanto, buscamos estudiar el fenómeno del autocontrol de los síntomas en estos pacientes y desarrollar una aplicación informática que permita promover, monitorizar y apoyar el proceso de autocontrol de los síntomas, así como el manejo del régimen terapéutico de las personas con enfermedad oncológica que se someten a tratamiento. quimioterapia Para este fin, se delimitaron dos etapas: en la primera, se llevaron a cabo revisiones sistemáticas de la literatura para diferentes propósitos, con el fin de reunir todo el conocimiento necesario y actual, para el desarrollo de la segunda etapa del proceso de investigación. En el segundo paso, se presenta el desarrollo de una aplicación que responde a los objetivos descritos. El primer prototipo de la aplicación iGestSaúde: módulo QT, que se está desarrollando actualmente, basado en toda la ruta de investigación presentada aquí.The chemotherapy stands out as one of the main therapeutic approaches for the cancer treatment, causing patients side effects that they need to learn to deal with. Thus, we tried to study the phenomenon of self-management of symptoms in these patients and to develop a computer application that allows promoting, monitoring and supporting the process of self-management of symptoms, as well as the management of the therapeutic regime, of people with oncological disease, undergoing treatment. chemotherapy. To this end, two stages were outlined: in the first, systematic reviews of the literature were carried out for different purposes, in order to gather all the necessary and current knowledge, for the development of the second stage of the investigation process. In the second stage, the development of an application that responds to the outlined objectives is presented. The first prototype of the iGestSaúde: QT module app is currently being developed, based on the entire research path presented here.Tesis Univ. Jaén. Departamento de Enfermería. Leída el 12 de marzo de 2020

Ciência aberta: tendências na publicação científica

info:eu-repo/semantics/publishedVersio

Knowing signs and symptoms of Major Depressive Disorder: Scope Review

Objetivo: identificar na literatura os sinais e sintomas do TDM nas dimensões físicas, psíquicas e comportamentais a fim de levantar as melhores evidências para contribuir na autogestão do tratamento. Metodologia: trata-se de um Scoping Review norteada pelos pressupostos do Joanna Briggs Institute segundo Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). Foram analisados estudos seguindo das bases de dados Ageline, B-On, BDENF, BMC Psychology, BMC Sacaid Nursing, BVS, Cochrane, EMBASE, IBECS, Lilacs, MedLine, Pepsic, Psycinfo, PubMed, SciELO, SCOPUS e Web of Science, utilizando os descritores “Signs and Symptoms”, “Depressive Disorder, Major”, “Adult”. Resultados: a amostra final constituiu-se de 51 artigos. Nos estudos predomina a dimensão psíquica 82,35%, seguido da física 68,62% e comportamental 43,13%. Os sinais e sintomas mais prevalentes foram alterações do sono, fadiga, sentimento de culpa, alterações do apetite, humor deprimido, baixa concentração, anedonia, alterações psicomotoras, alterações do peso e ideação suicida. Conclusão: o TDM afeta mente e corpo, e embora sua apresentação clínica seja heterogênea, os estudos evidenciaram que os sinais e sintomas mais frequentes se concentram na dimensão psíquica.info: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 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

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Explorando o uso de aplicativos móveis para autogestão do tratamento em saúde mental: scoping review

Objective: to map the scientific literature produced on mobile applications for self-management of mental health treatment. Method: scoping review conducted in five databases in Portuguese, English or Spanish in November 2020 with the descriptors mental health, mental illness, mental disorder, psychiatric illness, mobile applications, app, self care, self management, and self monitoring. Results: 46 articles were found, mostly related to development, effectiveness, user perception or search for apps in specialized stores and focused on self-monitoring of mood (13%) or management of mental illness in general (23.9%). Conclusion: the studies evidenced variety and effectiveness of mobile apps for different mental disorders. The construction of new apps for self-management in MS should be supported by evidence, with public participation and with representative samples that, in fact, portray the expectations and motivations of the user for the use of these technologies in self-management of their treatment.Objetivo: mapear a literatura científica produzida sobre aplicativos móveis para a autogestão do tratamento em saúde mental. Método: revisão de escopo realizada em cinco bases em português, inglês ou espanhol em novembro de 2020 com os descritores mental health, mental illness, mental disorder, psychiatric illness, mobile applications, app, self care, self management e self monitoring. Resultados: encontraram-se 46 artigos relacionados, em sua maioria, com desenvolvimento, eficácia, percepção dos usuários ou busca de aplicativos em lojas especializadas e com foco no automonitoramento do humor (13%) ou gestão de doenças mentais, em geral (23,9%). Conclusão: os estudos evidenciaram variedade e eficácia de aplicativos móveis para diferentes transtornos mentais. A construção de novos aplicativos para autogestão em SM deve ser sustentada em evidências, com participação do público e com amostras representativas que, de fato, retratem as expectativas e motivações do usuário para o uso dessas tecnologias na autogestão de seu tratamento

NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

Xenarthrans—anteaters, sloths, and armadillos—have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths. Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the southern United States, Mexico, and Caribbean countries at the northern portion of the Neotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n = 5,941), and Cyclopes sp. have the fewest (n = 240). The armadillo species with the most data is Dasypus novemcinctus (n = 11,588), and the fewest data are recorded for Calyptophractus retusus (n = 33). With regard to sloth species, Bradypus variegatus has the most records (n = 962), and Bradypus pygmaeus has the fewest (n = 12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans data set. Please cite this data paper when using its data in publications. We also request that researchers and teachers inform us of how they are using these data