Feelings of women accompanying children hospitalized in a Paediatric Intensive Care Unit

Objective: Analise feelings of women accompanying children in a paediatric intensive care unit Materials and Methods: Data were collected from August to October 2015 by the authors from individual interviews recorded with 15 women. The instrument was structured with the identification of qualitative variables, described in absolute and relative frequencies, and a guiding question. The "corpus" of each interview was electronically transcribed, floating readings were held and statements were categorized and analysed according Analise Content.  Results: 14 (93%) are biological mothers; average age 30 years; 11 (73%) have completed primary education; six (46%) have an occupation or a profession. The four themes were inferred: ambivalence of feelings and coping were related to how individuals express and deal with the hospitalized patient’s situation; empathy with the health team and the structural condition of the critical environment can also generate feelings. Nursing diagnoses were formulated from the reported feelings. Conclusion: It was observed that the feelings identified could be originated by the health-illness hospitalization process as well as the structural components of the critical environment. Keywords: Paediatric Intensive Care Units; Women; Feelings

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

Conhecimentos e habilidades dos profissionais da atenção primária à saúde sobre suporte básico de vida

Introduction: Primary health care units are responsible for the reception of their users, often being the gateway to certain emergency and emergency situations, such as cardiorespiratory arrest (CRP). It is believed that health training can prepare professionals in this service to provide qualified assistance to the victims of CRP. Objective: The objective of this study was to evaluate the theoretical knowledge and the practical skills of the Primary Health Care (PHC) professionals about basic life support (SBV) in the care of adults in cardiorespiratory arrest (CRP) before and after an educational intervention. Material and methods: Quantitative, quasi-experimental, before-and-after study, whose interventions used were training in SBV, performed with PHC health teams from a municipality in the interior of Minas Gerais. The evaluation of the theoretical knowledge was given through the application of a pre-test and post-test instrument and the practical skills were evaluated by the researchers through a checklist that verified the participants' performance in a simulated PCR service. Results: 89 professionals participated in the study. A statistically significant improvement (p<0.05) was observed in the participants' theoretical knowledge and practical skills after the intervention. Conclusion: Empowerment was an effective tool, capable of improving the knowledge and skills of the health team regarding patient care in CPR.Introdução: As unidades de atenção primária à saúde são responsáveis pelo acolhimento de seus usuários, sendo muitas vezes a porta de entrada para determinadas situações de urgência e emergência, como a parada cardiorrespiratória. Acredita-se que capacitações em saúde possam preparar os profissionais deste serviço para prestar uma assistência qualificada às vítimas de parada cardiorespiratória. Objetivo: O objetivo deste estudo foi avaliar o conhecimento teórico e as habilidades práticas dos profissionais da atenção primária à saúde sobre o suporte básico de vida no atendimento de adultos em parada cardiorrespiratória antes e após uma intervenção educativa. Material e Métodos: Pesquisa quantitativa, quase experimental, do tipo antes e depois, cujas intervenções empregadas foram capacitações em suporte básico de vida, realizadas com as equipes de saúde da atenção primaria à saúde de um município do interior de Minas Gerais. A avaliação do conhecimento teórico se deu por meio da aplicação de um instrumento de pré e pós-teste e as habilidades práticas foram avaliadas por meio da aplicação de um checklist que verificou a atuação dos participantes em um atendimento simulado de parada cardiorrespiratória. Resultados: Participaram da pesquisa 89 profissionais. Observou-se uma melhoria estatisticamente significativa (p<0,05) no conhecimento teórico e nas habilidades práticas dos participantes após a intervenção. Conclusão: A capacitação foi uma ferramenta eficaz, capaz de melhorar o conhecimento e as habilidades da equipe da atenção primária à saúde frente ao atendimento do paciente em parada cardiorrespiratória

Resumos concluídos - Saúde Coletiva

Resumos concluídos - Saúde Coletiv

Search for Pair Production of Second-Generation Scalar Leptoquarks in pp Collisions at sqrt(s) = 7 TeV

A search for pair production of second-generation scalar leptoquarks in the final state with two muons and two jets is performed using proton-proton collision data at sqrt(s) = 7 TeV collected by the CMS detector at the LHC. The data sample used corresponds to an integrated luminosity of 34 inverse picobarns. The number of observed events is in good agreement with the predictions from the standard model processes. An upper limit is set on the second-generation leptoquark cross section times beta^2 as a function of the leptoquark mass, and leptoquarks with masses below 394 GeV are excluded at a 95% confidence level for beta = 1, where beta is the leptoquark branching fraction into a muon and a quark. These limits are the most stringent to date